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Zhu YF, Zhu YS, Liu CC, Hu YT, Ding KF. [Updates of colonoscopy surveillance guidelines after screening and polypectomy, and related research progress]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:99-104. [PMID: 38262908 DOI: 10.3760/cma.j.cn441530-20230425-00137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
With the widespread application of colorectal cancer screening, the surveillance and management of the increasing number of screened population has become a pivotal aspect in preventing and controlling colorectal cancer. In recent years, researches have been conducted on the risk of colorectal cancer incidence and mortality in the population after screening. At the same time, various organizations in Europe and the United States have continuously updated colonoscopy surveillance after screening and polypectomy based on the latest research evidence. In this review, we summarized the current progress of studies on colorectal cancer risk in post-screening colorectal cancer populations and the key points of relevant guideline updates, in order to provide a reference for conducting relevant studies and formulating surveillance guidelines or consensus in China.
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Affiliation(s)
- Y F Zhu
- Chinese Medicine Hospital of Haining City, Haining Cancer Prevention and Treatment Research Institute, Haining 314400, China
| | - Y S Zhu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine; Zhejiang Provincial Clinical Research Center for Cancer, Hangzhou 310009, China
| | - C C Liu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine; Zhejiang Provincial Clinical Research Center for Cancer, Hangzhou 310009, China
| | - Y T Hu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine; Zhejiang Provincial Clinical Research Center for Cancer, Hangzhou 310009, China
| | - K F Ding
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine; Zhejiang Provincial Clinical Research Center for Cancer, Hangzhou 310009, China Center for Medical Research and Innovation in Digestive System Tumors, Ministry of Education, Hangzhou 310058, China
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Platt A, Liu CC, Gubler A, Naenni N, Thoma D, Schmidlin PR. In vitro evaluation of different protective techniques to reduce titanium particle contamination during implantoplasty. Clin Oral Investig 2023; 27:4205-4213. [PMID: 37140763 PMCID: PMC10415425 DOI: 10.1007/s00784-023-05037-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/21/2023] [Indexed: 05/05/2023]
Abstract
OBJECTIVES Our aim is to study titanium remains in a bone model during standardized implantoplasty under different isolation and protective modalities. MATERIAL AND METHODS Forty implants were placed in artificial spongy bone blocks mimicking a horizontal bone loss and implant neck protrusion of 5 mm. Samples were randomly divided into four groups (n = 10), which were treated as follows: rubber dam (A), a dental adhesive paste (B), bone wax (C), and an unprotected positive control (D). Implantoplasty was performed using carbide and diamond burs under strict water cooling and standardized suction. After removal of the respective isolation materials, the bone blocks were thoroughly rinsed with tap water for 3 min and titanium chips were collected using a filter integrated in the model. The filter paper was removed and dissolved in 37% hydrochloric acid for 2 h at 120 °C and the titanium remnants were quantified using atomic absorption spectrometry. RESULTS None of the test groups were able to completely prevent titanium particle contamination. Rubber dam (691 ± 249 µg) and bone wax (516 ± 157 µg) were found to be significantly more protective than the positive control (2313 ± 747 µg) (p < 0.001) with respect to the amount of titanium particles that remained in the bone model after implantoplasty. The adhesive paste group (1863.5 ± 538 µg) was not significantly different from the positive control (p = 0.19). CONCLUSIONS Despite some limitations of the present study, titanium particles resulting from a standardized implantoplasty can be assumed to be significantly reduced when the tissues/bone were protected with rubber dam and bone wax, or a combination, depending on individual accessibility. CLINICAL RELEVANCE Tissue protective measures to reduce or avoid particle contamination during implantoplasty is possible and should be considered and further clinically assessed to avoid iatrogenic inflammatory reactions.
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Affiliation(s)
- A Platt
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-Implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - C C Liu
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-Implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - A Gubler
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-Implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - N Naenni
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-Implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - D Thoma
- Clinic of Reconstructive Dentistry, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - P R Schmidlin
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-Implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland.
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Liu CC, Paschen S, Si Q. Quantum criticality enabled by intertwined degrees of freedom. Proc Natl Acad Sci U S A 2023; 120:e2300903120. [PMID: 37459538 PMCID: PMC10372663 DOI: 10.1073/pnas.2300903120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 06/20/2023] [Indexed: 07/29/2023] Open
Abstract
Strange metals appear in a wide range of correlated materials. Electronic localization-delocalization and the expected loss of quasiparticles characterize beyond-Landau metallic quantum critical points and the associated strange metals. Typical settings involve local spins. Systems that contain entwined degrees of freedom offer new platforms to realize unusual forms of quantum criticality. Here, we study the fate of an SU(4) spin-orbital Kondo state in a multipolar Bose-Fermi Kondo model, which provides an effective description of a multipolar Kondo lattice, using a renormalization-group method. We show that at zero temperature, a generic trajectory in the model's parameter space contains two quantum critical points, which are associated with the destruction of Kondo entanglement in the orbital and spin channels, respectively. Our asymptotically exact results reveal an overall phase diagram, provide the theoretical basis to understand puzzling recent experiments of a multipolar heavy fermion metal, and point to a means of designing different forms of quantum criticality and strange metallicity in a variety of strongly correlated systems.
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Affiliation(s)
- Chia-Chuan Liu
- Department of Physics and Astronomy, Rice Center for Quantum Materials, Rice University, Houston, TX 77005
- Département de Physique, Université de Montréal, Montréal, Québec H3C 3J7, Canada
| | - Silke Paschen
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Qimiao Si
- Department of Physics and Astronomy, Rice Center for Quantum Materials, Rice University, Houston, TX 77005
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4
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Liu L, Aokage K, Chen C, Chen C, Chen L, Kim YH, Lee CY, Liu C, Liu CC, Nishio W, Suzuki K, Tan L, Tseng YL, Yotsukura M, Watanabe SI. Asia expert consensus on segmentectomy in non-small cell lung cancer: A modified Delphi study. JTCVS Open 2023; 14:483-501. [PMID: 37425437 PMCID: PMC10328970 DOI: 10.1016/j.xjon.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/25/2023] [Accepted: 02/09/2023] [Indexed: 07/11/2023]
Abstract
Objective Segmentectomy as a parenchymal-sparing surgical approach has been recommended over lobectomy in select patients with early-stage non-small cell lung cancer. This study aimed to address 3 aspects of segmentectomy ("patient indication"; "segmentectomy approaches"; "lymph node assessment") where there is limited clinical guidance. Methods A modified Delphi approach comprising 3 anonymous surveys and 2 expert discussions was used to establish consensus on the aforementioned topics among 15 thoracic surgeons (2 Steering Committee; 2 Task Force; 11 Voting Experts) from Asia who have extensive segmentectomy experience. Statements were developed by the Steering Committee and Task Force based on their clinical experience, published literature (rounds 1-3), and comments received from Voting Experts through surveys (rounds 2-3). Voting Experts indicated their agreement with each statement on a 5-point Likert scale. Consensus was defined as ≥70% of Voting Experts selecting either "Agree"/"Strongly Agree" or "Disagree"/"Strongly Disagree." Results Consensus from the 11 Voting Experts was reached on 36 statements (11 "patient indication" statements; 19 "segmentation approaches" statements; 6 "lymph node assessment" statements). In rounds 1, 2, and 3, consensus was reached on 48%, 81%, and 100% of drafted statements, respectively. Conclusions A recent phase 3 trial reported significantly improved 5-year overall survival rates for segmentectomy compared with lobectomy, proposing thoracic surgeons to consider segmentectomy as a surgical option in suitable patients. This consensus serves as a guidance to thoracic surgeons considering segmentectomy in patients with early non-small cell lung cancer, outlining key principles that surgeons should consider in surgical decision-making.
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Affiliation(s)
- Lunxu Liu
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Keiju Aokage
- Division of Thoracic Surgery, National Cancer Centre Hospital East, Chiba, Japan
| | - Chang Chen
- Division of Thoracic Surgery, Shanghai Pulmonary Hospital Tongji University, Shanghai, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Liang Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yong-Hee Kim
- Division of Thoracic Surgery, Department of Thoracic and Cardiovascular Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Chang Young Lee
- Department of Thoracic and Cardiovascular Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Chengwu Liu
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, KOO Foundation Cancer Centre, Taipei, Taiwan
| | - Wataru Nishio
- Department of Chest Surgery, Hyogo Cancer Center, Akashi, Japan
| | - Kenji Suzuki
- Department of General Thoracic Surgery, Juntendo University, Tokyo, Japan
| | - Lijie Tan
- Division of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yau-Lin Tseng
- Division of Thoracic Surgery, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Masaya Yotsukura
- Department of Thoracic Surgery, National Cancer Centre Central Hospital, Tokyo, Japan
| | - Shun-ichi Watanabe
- Department of Thoracic Surgery, National Cancer Centre Central Hospital, Tokyo, Japan
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5
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Liu CC, Meng S, Ding Y. [Principle and routine operation of laser assisted periodontal surgery]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:498-505. [PMID: 37082858 DOI: 10.3760/cma.j.cn112144-20230228-00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Periodontitis is one of the most common infectious oral diseases, which can cause destruction of periodontal supporting tissues and even tooth mobility and loss. Controlling infection, eliminating inflammation, restoring the physiological shape of periodontal tissues, and meeting functional and aesthetic needs are the main goals of periodontal treatment. When periodontitis develops to a more severe stage, surgical treatment is necessary to handle soft and hard tissues for good treatment results. Since the development of the first Nd:YAG laser dedicated to dental medicine by Myers in 1990, over 30 years of clinical and basic research have shown that lasers have tremendous potential in assisting periodontal surgery. This article summarizes the principles and operational routines of laser-assisted periodontal surgery, aiming to provide clinical reference for diagnosis and treatment.
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Affiliation(s)
- C C Liu
- Department of Periodontics, West China Hospital of Stomatology, Sichuan University & National Clinical Research Center for Oral Diseases & State Key Laboratory of Oral Diseases, Chengdu 610041, China
| | - S Meng
- Department of Periodontics, West China Hospital of Stomatology, Sichuan University & National Clinical Research Center for Oral Diseases & State Key Laboratory of Oral Diseases, Chengdu 610041, China
| | - Y Ding
- Department of Periodontics, West China Hospital of Stomatology, Sichuan University & National Clinical Research Center for Oral Diseases & State Key Laboratory of Oral Diseases, Chengdu 610041, China
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Song W, Bai YY, Hu JH, Li LL, He WW, Liu CC, Li L, Ning X, Zhu LN, Cui XL, Chen B, Wang TY, Su KX, Miao YX, Luo YE, Sheng QL, Yue TL. Lactobacillus coryniformis subsp . torquens inhibits bone loss in obese mice via modification of the gut microbiota. Food Funct 2023; 14:4522-4538. [PMID: 37062959 DOI: 10.1039/d2fo03863c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
High-fat diet (HFD)-induced obesity results in bone loss associated with an imbalanced gut microbiota and altered immune status. Probiotics are live microorganisms that are beneficial to the host and are important in maintaining bone health and gut homeostasis. In this study, the probiotic Lactobacillus coryniformis subsp. torquens (T3L) was isolated from traditional yak milk cheese produced in Lhasa and showed distinct acid and bile salt resistance as potential probiotics. Our data indicated that T3L not only reversed HFD-induced gut dysbiosis, as indicated by decreased Firmicutes-to-Bacteroidetes ratios but also reduced bone loss. The anti-obesity, microbiome-modulating, and bone-protective effects were transmissible via horizontal faeces transfer from T3L-treated mice to HFD-fed mice. The protective effects of T3L on bone mass were associated with regulatory T (Treg) cell-mediated inhibition of osteoclast differentiation. Our data indicate that T3L is a regulator of the gut microbiota and bone homeostasis in an animal model.
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Affiliation(s)
- W Song
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - Y Y Bai
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, 226-8501, Japan
| | - J H Hu
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - L L Li
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - W W He
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - C C Liu
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - L Li
- Department of Food Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, Harbin, 150000, China
| | - X Ning
- Department of Food Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, Harbin, 150000, China
| | - L N Zhu
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - X L Cui
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - B Chen
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - T Y Wang
- Department of Food Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, Harbin, 150000, China
| | - K X Su
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - Y X Miao
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - Y E Luo
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - Q L Sheng
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
| | - T L Yue
- College of Food Science and Technology, Northwest University, Xi'an, 710069, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, 710069, China
- Research Center of Food Safety Risk Assessment and Control, Xi'an, 710069, China
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Lee KY, Liu CC, Chen DYT, Weng CL, Chiu HW, Chiang CH. Automatic detection and vascular territory classification of hyperacute staged ischemic stroke on diffusion weighted image using convolutional neural networks. Sci Rep 2023; 13:404. [PMID: 36624122 PMCID: PMC9829896 DOI: 10.1038/s41598-023-27621-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
Automated ischemic stroke detection and classification according to its vascular territory is an essential step in stroke image evaluation, especially at hyperacute stage where mechanical thrombectomy may improve patients' outcome. This study aimed to evaluate the performance of various convolutional neural network (CNN) models on hyperacute staged diffusion-weighted images (DWI) for detection of ischemic stroke and classification into anterior circulation infarct (ACI), posterior circulation infarct (PCI) and normal image slices. In this retrospective study, 253 cases of hyperacute staged DWI were identified, downloaded and reviewed. After exclusion, DWI from 127 cases were used and we created a dataset containing total of 2119 image slices, and separates it into three groups, namely ACI (618 slices), PCI (149 slices) and normal (1352 slices). Two transfer learning based CNN models, namely Inception-v3, EfficientNet-b0 and one self-derived modified LeNet model were used. The performance of the models was evaluated and activation maps using gradient-weighted class activation mapping (Grad-Cam) technique were made. Inception-v3 had the best overall accuracy (86.3%), weighted F1 score (86.2%) and kappa score (0.715), followed by the modified LeNet (85.2% accuracy, 84.7% weighted F1 score and 0.693 kappa score). The EfficientNet-b0 had the poorest performance of 83.6% accuracy, 83% weighted F1 score and 0.662 kappa score. The activation map showed that one possible explanation for misclassification is due to susceptibility artifact. A sufficiently high performance can be achieved by using CNN model to detect ischemic stroke on hyperacute staged DWI and classify it according to vascular territory.
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Affiliation(s)
- Kun-Yu Lee
- grid.412955.e0000 0004 0419 7197Department of Medical Image, Shuang Ho Hospital, Taipei Medical University, No. 291, Zhongzheng Road, Zhonghe District, New Taipei City, 23561 Taiwan, ROC ,grid.412896.00000 0000 9337 0481Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, No. 250 Wu-Hsing Street, Taipei City, 11031 Taiwan, ROC
| | - Chia-Chuan Liu
- grid.412955.e0000 0004 0419 7197Department of Medical Image, Shuang Ho Hospital, Taipei Medical University, No. 291, Zhongzheng Road, Zhonghe District, New Taipei City, 23561 Taiwan, ROC ,grid.412896.00000 0000 9337 0481Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, No. 250 Wu-Hsing Street, Taipei City, 11031 Taiwan, ROC
| | - David Yen-Ting Chen
- grid.412955.e0000 0004 0419 7197Department of Medical Image, Shuang Ho Hospital, Taipei Medical University, No. 291, Zhongzheng Road, Zhonghe District, New Taipei City, 23561 Taiwan, ROC ,grid.412896.00000 0000 9337 0481Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, No. 250 Wu-Hsing Street, Taipei City, 11031 Taiwan, ROC
| | - Chi-Lun Weng
- grid.413878.10000 0004 0572 9327Department of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, No. 539, Zhongxiao Rd., East Dist., Chiayi City, 600566 Taiwan, ROC
| | - Hung-Wen Chiu
- grid.412896.00000 0000 9337 0481Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University TW, No. 250 Wu-Hsing Street, Taipei City, 11031 Taiwan, ROC
| | - Chen-Hua Chiang
- Department of Medical Image, Shuang Ho Hospital, Taipei Medical University, No. 291, Zhongzheng Road, Zhonghe District, New Taipei City, 23561, Taiwan, ROC. .,Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, No. 250 Wu-Hsing Street, Taipei City, 11031, Taiwan, ROC.
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Diong NC, Liu CC, Shih CS, Wu MC, Huang CJ, Hung CF. Is there a role for lung surgery in initially unresectable non-small cell lung cancer after tyrosine kinase inhibitor treatment? World J Surg Oncol 2022; 20:370. [PMID: 36434641 PMCID: PMC9701021 DOI: 10.1186/s12957-022-02833-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 11/04/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The role of lung surgery in initially unresectable non-small cell lung cancer (NSCLC) after tyrosine kinase inhibitor (TKI) treatment remains unclear. We aimed to assess the survival benefits of patients who underwent surgery for regressed or regrown tumors after receiving TKI treatment. METHODS The details of patients diagnosed with unresectable NSCLC treated with TKI followed by lung resection from 2010 to 2020 were retrieved from our database. The primary endpoint was 3-year overall survival (OS), whereas the secondary endpoints were a 2-year progression-free survival (PFS), feasibility, and the safety of pulmonary resection. The statistical tests used were Fisher's exact test, Kruskal Wallis test, Kaplan-Meier method, Cox proportional hazards model, and Firth correction. RESULTS Nineteen out of thirty-two patients were selected for the study. The patients underwent lung surgery after confirmed tumor regression (17 [89.5%]) and regrowth (two [10.5%]). All surgeries were performed via video-assisted thoracoscopic surgery: 14 (73.7%) lobectomies and five (26.3%) sublobar resections after a median duration of 5 months of TKI. Two (10.5%) postoperative complications and no 30-day postoperative mortality were observed. The median postoperative follow-up was 22 months. The 2-year PFS and 3-year OS rates were 43.9% and 61.5%, respectively. Patients who underwent surgery for regressed disease showed a significantly better OS than for regrowth disease (HR=0.086, 95% CI 0.008-0.957, p=0.046). TKI-adjuvant demonstrated a better PFS than non-TKI adjuvant (HR=0.146, 95% CI 0.027-0.782, p=0.025). CONCLUSION Lung surgery after TKI treatment is feasible and safe and prolongs survival via local control and directed consequential therapy. Lung surgery should be adopted in multimodality therapy for initially unresectable NSCLC.
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Affiliation(s)
- Nguk Chai Diong
- grid.412516.50000 0004 0621 7139Division of Thoracic Surgery, Department of Surgery, Kuala Lumpur General Hospital, Kuala Lumpur, Malaysia
| | - Chia-Chuan Liu
- grid.418962.00000 0004 0622 0936Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, 125, Lide Road, Beitou District, Taipei, 11259 Taiwan
| | - Chih-Shiun Shih
- grid.418962.00000 0004 0622 0936Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, 125, Lide Road, Beitou District, Taipei, 11259 Taiwan
| | - Mau-Ching Wu
- grid.418962.00000 0004 0622 0936Department of Medical Oncology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Chun-Jen Huang
- grid.418962.00000 0004 0622 0936Department of Pulmonary Medicine and Intensive Care Medicine, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Chen-Fang Hung
- grid.418962.00000 0004 0622 0936Department of Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
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Le CQ, Liu CC, Hu YT, Xiao Q, Ding K. [Interpretation of updated guidelines for colorectal cancer screening in average-risk individuals in the United States]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:826-833. [PMID: 36117375 DOI: 10.3760/cma.j.cn441530-20220220-00055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In recent years, due to changes in the epidemiology of colorectal cancer in the United States, the update of evidence-based medical evidence for screening, and the emergence of various new screening methods, various organizations in the United States, such as American College of Gastroenterology、Preventive Services Task Force, have updated guidelines for colorectal cancer screening in average-risk individuals. These guidelines have different recommendation levels in terms of starting and ending age, screening methods and frequency for colorectal cancer screening. A comprehensive understanding of the key points of these guideline updates and the similarities and differences recommended by different guidelines has important reference value for the colorectal cancer screening in China.
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Affiliation(s)
- C Q Le
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - C C Liu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Y T Hu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Q Xiao
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Kefeng Ding
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China Cancer Center Zhejiang University, Hangzhou 310058, China
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Solderer A, de Boer M, Wiedemeier DB, Solderer M, Liu CC, Schmidlin PR. Bone defect development in experimental canine peri-implantitis models: a systematic review. Syst Rev 2022; 11:202. [PMID: 36131319 PMCID: PMC9494778 DOI: 10.1186/s13643-022-02075-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/12/2022] [Indexed: 11/10/2022] Open
Abstract
PURPOSE To provide a systematic overview of preclinical research regarding bone defect formation around different implant surfaces after ligature-induced peri-implantitis models in dogs. Two focused questions were formulated: 'How much bone loss can be expected after a certain time of ligature induced peri-implantitis?' and 'Do different implant types, dog breeds and study protocols differ in their extent of bone loss?' MATERIALS AND METHODS A systematic literature search was conducted on four databases (MEDLINE, Web of Science, EMBASE and Scopus). Observations, which consisted of bone defects measured directly after ligature removal in canine models, were included and analysed. Two approaches were used to analyse the relatively heterogeneous studies that fulfilled the inclusion criteria. First, separate simple linear regressions were calculated for each study and implant surface, for which observations were available across multiple time points. Second, a linear mixed model was specified for the observations at 12 weeks after ligature initiation, and assessing the potential influencing factors on defect depth was explored using lasso regularisation. RESULTS Thirty-six studies with a total of 1082 implants were included after. Bone loss was determined at different time points, either with clinical measurements radiographically or histologically. Different implant groups [e.g. turned, sand-blasted-acid-etched (SLA), titanium-plasma-sprayed (TPS) and other rough surfaces] were assessed and described in the studies. A mean incremental defect depth increase of 0.08 mm (SD: -0.01-0.28 mm) per week was observed. After 12 weeks, the defect depths ranged between 0.7 and 5 mm. Based on the current data set, implant surface could not be statistically identified as an essential factor in defect depth after 12 weeks of ligature-induced peri-implantitis. CONCLUSION Expectable defect depth after a specific time of ligature-induced peri-implantitis can vary robustly. It is currently impossible to delineate apparent differences in bone loss around different implant surfaces.
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Affiliation(s)
- A Solderer
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland. .,Private Practice, 39100, Bolzano, Italy.
| | - M de Boer
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - D B Wiedemeier
- Statistical Services, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | | | - C C Liu
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
| | - P R Schmidlin
- Clinic of Conservative and Preventive Dentistry, Division of Periodontology and Peri-implant Diseases, Center of Dental Medicine, University of Zurich, 8032, Zurich, Switzerland
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11
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Chen RL, Liu CC, Ip PP, Fang LH, Shih LS, Chen LY. Peri-treatment adverse events of primary mediastinal non-seminomatous germ cell tumors. Pediatr Blood Cancer 2022; 69:e29781. [PMID: 35593015 DOI: 10.1002/pbc.29781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/22/2022] [Accepted: 04/26/2022] [Indexed: 11/07/2022]
Abstract
Primary mediastinal non-seminomatous germ cell tumors (PMNSGCT) are rare but life-threatening thoracic cancers. We report our experience from eight patients with peri-treatment adverse events. By analyzing changes in tumor extent, serum tumor markers, and pathologies between diagnosis and transfer, those events could be attributed to postbiopsy respiratory insufficiency, growing teratoma syndrome, secondary histiocytic malignancy, and PMNSGCT progression. Subjecting patients to respiratory therapy, conventional or high-dose chemotherapy, and surgery controlled the disease, with five of the eight patients surviving disease free. These outcomes indicate that integrated appropriate and timely approaches are important in tackling peri-treatment adverse events.
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Affiliation(s)
- Rong-Long Chen
- Department of Pediatric Hematology and Oncology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Chia-Chuan Liu
- Department of Thoracic Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Peng Peng Ip
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Li-Hua Fang
- Department of Pharmacy, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Li-Sun Shih
- Department of Pathology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Liuh-Yow Chen
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
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12
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Cheng YF, Wang BY, Hsu XT, Liu CC. Uniport video-assisted thoracoscopic surgery for thoracic Eden type IV dumbbell tumor. JTCVS Tech 2022; 15:168-170. [PMID: 36276681 PMCID: PMC9579495 DOI: 10.1016/j.xjtc.2022.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/13/2022] [Accepted: 06/27/2022] [Indexed: 11/16/2022] Open
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Yan XX, Li YJ, Cao MD, Wang H, Liu CC, Wang X, Ran JC, Liang L, Lei L, Peng J, Shi JF. [DALYs for breast cancer in China, 2000-2050: trend analysis and prediction based on GBD 2019]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:2156-2163. [PMID: 34954980 DOI: 10.3760/cma.j.cn112338-20210506-00373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Based on the data of Global Burden of Disease 2019 data, to analyze the past, current, and future burden of disability-adjusted life years (DALYs) in China and compare with the international status. Methods: The total number of DALYs, age-standardized DALY rate, and the composition of different subgroups were extracted and described to analyze the time trend in 2000-2019 and the current situation in 2019 for Chinese female breast cancer. The burden of DALYs in 2050 was predicted by Joinpoint using average annual percent change (AAPC). Results: In 2000-2019, the ranking of DALYs caused by female breast cancer in China rose from the fourth to the second in all female cancers. The total DALYs increased by 48.4%, of which the years lived with disability increased from 4.8% to 8.8%. The age-standardized DALY rate only slightly decreased (AAPC=-0.3%; which increased during 2016-2019, AAPC=1.6%). In 2019, the age-standardized DALY rate for breast cancer in China was 278.0/100 000. The DALYs were 2.88 million (accounting for 14.2% of the global burden and 12.1% of all female cancers burden in China), 26.5% of which attributed known risk factors (overweight and obesity were the largest: 0.34 million DALYs, but some common breast cancer risk factors were not available on the platform, such as menstruation and fertility). In 2050, the prediction suggests that the total DALYs caused by female breast cancer in China will reach 3.80 million person-years-5.16 million person-years, increasing 32.1%-79.4% over 2019. From 2000 to 2019, the peak age of DALYs and DALY rate became older, and the DALYs among females aged 65 years and above increased faster than those younger than 65 years (AAPC were 4.8% and 1.3%, respectively). In 2019, females aged 45-74 (the starting age recommended by local guidelines for breast cancer screening) contributed 74.3% of the total DALYs. Conclusions: Over the past 20 years, the age-standardized DALY rate for breast cancer in female populations in China has not changed obviously. Without the continuous expansion of effective intervention and population aging, the burden of DALYs for female breast cancer in China will increase. DALYs for breast cancer attributed leading risk factors were still limited.
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Affiliation(s)
- X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y J Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J C Ran
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China Department of Healthcare-Associated Infection Management, Third People's Hospital of Shenzhen (Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen 518114, China
| | - L Liang
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - L Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - J Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Sparago J, Rademacher N, Dehghanpir S, Post J, Liu CC, Johnston AN. Investigation of the association between gall bladder wall thickness and hypoalbuminaemia in dogs. J Small Anim Pract 2021; 62:973-978. [PMID: 34254309 DOI: 10.1111/jsap.13358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 04/03/2021] [Accepted: 04/29/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To assess the correlation between gallbladder wall thickness and serum/plasma albumin concentrations in dogs. MATERIALS AND METHODS Retrospective searches of digital medical record databases were conducted to identify dogs that had either severely low serum/plasma albumin concentration (<1.5 g/dL) or ultrasonographic evidence of gallbladder wall thickening (>2 mm). Analysis of covariance models were used to analyze gallbladder wall thickness with sample type (serum vs plasma), age, etiology, albumin, and albumin ' etiology as the covariates. RESULTS A total of 216 dogs met inclusion criteria. One-hundred and forty-six dogs had a thickened gallbladder wall (Group 1). Median serum/plasma albumin concentration for dogs in this group was 2.2 g/dL (1 to 5 g/dL), and 84 dogs (57.5%) had hypoalbuminemia (<2.5 g/dL). The search for dogs with severe hypoalbuminemia (< 1.5 g/dL) identified 70 dogs (Group 2). In this group, median gallbladder wall thickness was 1.3 mm (0.2 to 6.1 mm) and 17 dogs (24.3%) had a thickened gallbladder wall. Serum/plasma albumin concentration and gallbladder wall thickness were not significantly correlated for Group 1 (r = 0.0044, p = 0.9580) or Group 2 (r = -0.1137, p = 0.3487). A moderate negative correlation (-0.64) was identified between gallbladder wall thickness and albumin concentration in dogs with immune-mediated diseases (p = 0.03). CLINICAL SIGNIFICANCE Gallbladder wall thickness and serum/plasma albumin concentration are independent variables in dogs.
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Affiliation(s)
- J Sparago
- Department of Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, 1909 Skip Bertman Drive, Baton Rouge, LA, 70803, USA
| | - N Rademacher
- Department of Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, 1909 Skip Bertman Drive, Baton Rouge, LA, 70803, USA
| | - S Dehghanpir
- Department of Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, 1909 Skip Bertman Drive, Baton Rouge, LA, 70803, USA
| | - J Post
- Department of Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, 1909 Skip Bertman Drive, Baton Rouge, LA, 70803, USA
| | - C C Liu
- Department of Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, 1909 Skip Bertman Drive, Baton Rouge, LA, 70803, USA
| | - A N Johnston
- Department of Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, 1909 Skip Bertman Drive, Baton Rouge, LA, 70803, USA
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15
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Chen YJ, Liou YC, Ho WH, Tsai JT, Liu CC, Hwang KS. Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods. Sci Prog 2021; 104:368504221110856. [PMID: 35818893 PMCID: PMC10496471 DOI: 10.1177/00368504221110856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
In a pineapple exporting factory, manual lines are usually built to screen fruits of non-ripen hitting sounds from millions of undecided fruits for long-haul transportation. However, human workers cannot concentratedly listen and make consistent judgments over long hours. Pineapple screening becomes arbitrary after approximately an hour. We developed a non-destructive screening device aside from the conveyor sorter to classify pineapples automatically. The device makes intelligent judgments by tapping a sound source to the skin of pineapples and analyzing the penetrated sounds by wavelet kernel decomposition and unsupervised machine learning (ML). The sound tapping relies on the well-touch of the skin. We also design several acoustic couplers to adapt the vibrator to the skin and pick high-quality penetrated sounds. A Taguchi experiment design was used to determine the most suitable coupler. We found that our unsupervised ML method achieves 98.56% accuracy and 0.93 F1-score by using a specially designed thorn-board for assisting tapping sound to fruit skin.
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Affiliation(s)
- Yenming J. Chen
- Department of Information Management, National Kaohsiung University of Science
and Technology, Kaohsiung 824, Taiwan
| | - Yeong-Cheng Liou
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical
University, Kaohsiung 807, Taiwan
- Department of Medical Research, Kaohsiung Medical University
Hospital, Kaohsiung 807, Taiwan
| | - Wen-Hsien Ho
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical
University, Kaohsiung 807, Taiwan
- Department of Medical Research, Kaohsiung Medical University
Hospital, Kaohsiung 807, Taiwan
- Department of Mechanical Engineering, National Pingtung University of Science
and Technology, Pingtung 912, Taiwan
| | - Jinn-Tsong Tsai
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical
University, Kaohsiung 807, Taiwan
- Department of Computer Science, National Pingtung University,
Pingtung 900, Taiwan
| | - Chia-Chuan Liu
- Department of Information Management, National Kaohsiung University of Science
and Technology, Kaohsiung 824, Taiwan
| | - Kao-Shing Hwang
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical
University, Kaohsiung 807, Taiwan
- Department of Electrical Engineering, National Sun Yat-Sen
University, Kaohsiung 804, Taiwan
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16
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Lu M, Chen HD, Liu CC, Zhang YH, Wei LP, Lyu ZY, Ren JS, Shi JF, Zou SM, Li N, Dai M. [Diagnostic performance of quantitative fecal immunochemical test in detection of advanced colorectal neoplasia]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 41:2104-2111. [PMID: 33378824 DOI: 10.3760/cma.j.cn112338-20191216-00888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the diagnostic performance of quantitative fecal immunochemical testing (FIT) and to provide reference for designing effective colorectal cancer (CRC) screening strategy in China. Methods: Based on an ongoing randomized controlled trial comparing the colorectal cancer screening strategies, this current study involved 3 407 participants aged 50-74 years who had undergone colonoscopies. All the feces samples were collected from the participants prior to receiving the colonoscopy. Fecal hemoglobin (Hb) was tested by FIT following a standardized operation process. Diagnosis-related indicators of FIT were calculated using the colonoscopy results as the gold standard. Results: Among the 3 407 participants, the mean age (SD) as 60.5 (6.3) years and 1 753 (51.5%) were males. The participants involved 28 (0.8%) CRCs, 255 (7.5%) advanced adenomas, 677 (19.9%) nonadvanced adenomas, and 2 447 (71.8%) benign or negative findings. With an overall positivity rate of 2.8% (96/3 407) at the recommended cutoff value of 20 μg Hb/g, the sensitivities of FIT for both CRC and advanced adenoma were 57.1% (95%CI: 37.2%-75.5%) and 11.0% (95%CI: 7.4%-15.5%), respectively, with the corresponding specificity as 98.4% (95%CI: 97.8%-98.8%). At a decreased cut-off value of 5 μg Hb/g, the sensitivities for detecting CRC and advanced adenoma increased to 64.3% (95%CI: 44.1%-81.4%) and 16.5% (95%CI: 12.1%-21.6%), respectively, but the specificity reduced to 95.2% (95%CI: 94.4%-95.9%). The areas under the ROC curve for CRC and advanced adenoma were 0.908 (95%CI: 0.842-0.973) and 0.657 (95%CI: 0.621-0.692), respectively. Of the diagnostic performance, there were no significant differences noticed by different sex and age groups. Conclusions: In our study, the quantitative FIT showed modest sensitivity in detecting CRC but limited sensitivity in detecting advanced adenoma. In population-based CRC screening programs, the quantitative FIT had the advantage of adjusting the positive threshold based on the targeted detection rate and available resource load of colonoscopy.
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Affiliation(s)
- M Lu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y H Zhang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L P Wei
- Department of Science and Development, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Z Y Lyu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Hospital, Tianjin 300060, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S M Zou
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Chen HD, Lu M, Liu CC, Zhang YH, Zou SM, Shi JF, Ren JS, Li N, Dai M. [Rates on the acceptance of colonoscopy, fecal immunochemical test and a novel risk-adapted screening approach in the screening programs of colorectal cancer as well as related associated factors]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 41:1655-1661. [PMID: 33297622 DOI: 10.3760/cma.j.cn112338-20200227-00196] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the rates of acceptance of colonoscopy, fecal immunochemical test (FIT), or a novel risk-adapted screening approach in the colorectal cancer (CRC) screening program. Related risk factors were also studied. Methods: The study has been based on an ongoing randomized controlled trial on colorectal cancer screening programs in six centers of research since May 2018. The involved participants were those who presented at the baseline screening phase. All the participants were randomly allocated into one of the following three intervention arms in a 1∶2∶2 ratio: colonoscopy group, FIT group, and a novel risk-adapted screening group. All the participants underwent risk assessment on CRC by an established risk score system. The subjects with high-risk were recommended to undertake the colonoscopy while the low-risk ones were receiving the FIT. Detailed epidemiological data was collected through questionnaires and clinical examinations. Rates of participation and compliance in all three groups were calculated. Multivariate logistic regression models were used to explore the potential associated factors related to the acceptance of screening. Results: There were 19 546 eligible participants involved in the study, including 3 916 in the colonoscopy group, 7 854 in the FIT group, and 7 776 in the novel risk-adapted screening group, respectively. Among the 19 546 participants, the mean age was 60.5 years (SD=6.5), and 8 154 (41.7%) were males. The rates of participation in the colonoscopy, FIT and the novel risk-adapted screening groups were 42.5%, 94.0% and 85.2%, respectively. In the novel risk-adapted screening group, the participation rate was 49.2% for the high-risk participants who need to undertake colonoscopy and was 94.0% for the low-risk ones who need to undertake FIT. Results from the multivariate logistic regression models demonstrated that there were several factors associated with the rates of participation in CRC screening, including age, background of education, history of smoking cigarettes, previous history of bowel examination, chronic inflammatory bowel disease and family history of CRC among the 1(st)-degree relatives. Conclusions: FIT and the novel risk-adapted screening approach showed superior participation rates to the colonoscopy. Further efforts including health promotion campaign for specific target population are needed to improve the engagement which ensures the effectiveness of CRC screening programs.
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Affiliation(s)
- H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Lu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y H Zhang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S M Zou
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Abstract
As a new antiperovskite nitride, ZnFe3N was synthesized and characterized by almost completely substituting iron atoms at corner positions of γ'-Fe4N. The magnetic interactions of the system with the space group Pm3[combining macron]m are fully investigated. The critical behavior was investigated based on the measured magnetic data around the ferromagnetic phase transition temperature. In this work, the values of critical exponents (β, γ and δ) were obtained systematically using the Kouvel-Fisher method in the critical region. The Widom scaling law (δ = 1 + γβ-1) and the scaling equation (m = f±(h)) were used to reveal the reliability of these values. The values of the critical exponents (β = 0.325, γ = 1.228, and δ = 4.778) are different from those predicted by the three-dimensional (3D) Heisenberg model and mean-field model, and are very close to those of the 3D-Ising model. Combined with ESR analysis, the spin clusters induced by changes in chemical bonds are considered to be the cause for the existence of an anisotropic short-range ordered state in this ferromagnetic system.
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Affiliation(s)
- W Wang
- Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China
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19
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Zhao D, Che NY, Song ZG, Liu CC, Wang L, Shi HY, Dong YJ, Lin HF, Mu J, Ying L, Yang QC, Gao YN, Chen WS, Wang SH, Xu W, Jin ML. [Pathological diagnosis of lung cancer based on deep transfer learning]. Zhonghua Bing Li Xue Za Zhi 2020; 49:1120-1125. [PMID: 33152815 DOI: 10.3760/cma.j.cn112151-20200615-00471] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To establish an artificial intelligence (AI)-assisted diagnostic system for lung cancer via deep transfer learning. Methods: The researchers collected 519 lung pathologic slides from 2016 to 2019, covering various lung tissues, including normal tissues, adenocarcinoma, squamous cell carcinoma and small cell carcinoma, from the Beijing Chest Hospital, the Capital Medical University. The slides were digitized by scanner, and 316 slides were used as training set and 203 as the internal test set. The researchers labeled all the training slides by pathologists and establish a semantic segmentation model based on DeepLab v3 with ResNet-50 to detect lung cancers at the pixel level. To perform transfer learning, the researchers utilized the gastric cancer detection model to initialize the deep neural network parameters. The lung cancer detection convolutional neural network was further trained by fine-tuning of the labeled data. The deep learning model was tested by 203 slides in the internal test set and 1 081 slides obtained from TCIA database, named as the external test set. Results: The model trained with transfer learning showed substantial accuracy advantage against the one trained from scratch for the internal test set [area under curve (AUC) 0.988 vs. 0.971, Kappa 0.852 vs. 0.832]. For the external test set, the transferred model achieved an AUC of 0.968 and Kappa of 0.828, indicating superior generalization ability. By studying the predictions made by the model, the researchers obtained deeper understandings of the deep learning model. Conclusions: The lung cancer histopathological diagnostic system achieves higher accuracy and superior generalization ability. With the development of histopathological AI, the transfer learning can effectively train diagnosis models and shorten the learning period, and improve the model performance.
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Affiliation(s)
- D Zhao
- Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - N Y Che
- Department of Pathology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Institute, Beijing 101149, China
| | - Z G Song
- Department of Pathology, the First Medical Center of PLA General Hospital, Beijing 100853, China
| | - C C Liu
- Thorough Images Co. LTD, Beijing 100083, China
| | - L Wang
- Thorough Images Co. LTD, Beijing 100083, China
| | - H Y Shi
- Department of Pathology, the First Medical Center of PLA General Hospital, Beijing 100853, China
| | - Y J Dong
- Department of Pathology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Institute, Beijing 101149, China
| | - H F Lin
- Department of Pathology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Institute, Beijing 101149, China
| | - J Mu
- Department of Pathology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Institute, Beijing 101149, China
| | - L Ying
- Department of Pathology, the Fourth Hospital of Inner Mongolia Autonomous Region, Huhhot 010080, China
| | - Q C Yang
- Department of Pathology, Tianjin Haihe Hospital, Tianjin 300350, China
| | - Y N Gao
- Department of Pathology, Changchun Infectious Diseases/Tuberculosis Hospital, Changchun 132000, China
| | - W S Chen
- Department of Pathology, Quanzhou First Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province,China
| | - S H Wang
- Thorough Images Co. LTD, Beijing 100083, China
| | - W Xu
- Tsinghua University Institute for Interdisciplinary Information Sciences, Beijing 100084, China
| | - M L Jin
- Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
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Wang H, Cao MD, Liu CC, Yan XX, Huang HY, Zhang Y, Chen HD, Ren JS, Li N, Chen WQ, Dai M, Shi JF. [Disease burden of colorectal cancer in China: any changes in recent years?]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1633-1642. [PMID: 33297619 DOI: 10.3760/cma.j.cn112338-20200306-00273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To update the disease burden of colorectal cancer (CRC) in Chinese population by integrating the latest multi-source evidences. Methods: Groups of data from GLOBOCAN, series of Chinese Cancer Registry Annual Report (annual report), Cancer Incidence in Five Continents (CI5), Global Burden of Disease Project 2017 (GBD), China Death Cause Surveillance Datasets and China Health Statistical Yearbooks (yearbook) were used to extract the information. Data on incidence, mortality, disability-adjusted life year (DALY) and percentage distribution of sub-location of CRC were used to analyze the latest disease burden in China, and age-standardized rates by world standard population were mainly used. Joinpoint Trend Analysis Software 4.7.0.0 was applied for time trend analysis. Data related to the economic burden of CRC in China were gathered by literature review. Results: (1) Current status: according to the latest annual report, the incidence and mortality rates of CRC were 17.1 per 100 000 and 7.9 per 100 000, respectively among the covered registration sites in 2015. The incidence ratios of male to female and that of urban to rural were 1.5 and 1.4, with the mortality ratios were 1.6 and 1.4, respectively. Similar to data from the annual report, the mortality rate was reported as 6.9 per 100 000 in 2017 by the surveillance data sets. Data from the GBD project showed that, the DALYs caused by CRC in China in 2017 was 4.254 million person years (doubled compared with that of 1990), accounting for 22.4% of the global burden of CRC. (2) Time trends: according to the annual reports, from 2009 to 2015, the incidence rate and mortality rate of CRC in China decreased by 10.2% and 9.5%, respectively. The same trend was also observed in urban sites, but was opposite in rural areas (increased 20.0% in incidence and 15.2% in mortality). Results from the Joinpoint analysis showed that the averaged annual percentage change (AAPC) was estimated as -1.6% (P<0.05) in the national mortality rate. Similarly, in the incidence and mortality rates of urban sites appeared as AAPC=-1.5% and -1.4% (all P<0.05), but inversely in the incidence rate from the rural sites as AAPC=3.3% (P<0.05). The yearbook data showed a 9.8% increase in urban and 20.6% increase in rural on the mortality in 2017 when compared with 2004, but the Joinpoint analysis showed no statistical significance (P<0.05). (3) Distribution of sub-location of CRC: the annual report showed that among all the new CRC cases in China in 2015, colon, rectal and anal cancer accounted for 49.6%, 49.2% and 1.2%, respectively, while the proportions were 51.3%, 47.6% and 1.1%, respectively in 2009. The proportion of colon cancer was continuously higher in the urban (>52%) than that in the rural areas (<44%). The CI5 Ⅺ data showed that ascending and sigmoid colons were more commonly seen among all the colon cancers. (4) Economic burden: the average annual growth rate of the medical expenditure per CRC patient in China ranged from 6.9% to 9.2%, and the 1-year out-of-pocket expenditure of a newly diagnosed patient accounted for about 60% of their previous-year household income. Conclusions: In China, the overall disease burden of CRC might have been decreased slightly but generally remained stable in the last several years, however, the rising burden appeared in the rural areas should not be ignored. In consistent with findings from a previous review, men and people from the urban areas are considered the target populations for CRC. The finding of higher proportion of colon cancer in urban areas suggests the impact of development of socioeconomic and medical technologies on CRC development and detection. The economic burden of CRC continued to grow.
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Affiliation(s)
- H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Zhang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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21
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Wang H, Liu CC, Bai FZ, Zhu J, Yan XX, Cao MD, Du LB, Wei DH, Wang DB, Liao XZ, Dong D, Gao Y, Dong P, Zhu C, Ma YL, Chai J, Xiao HF, Kong YX, Zhang Q, Zheng WF, Ying RB, Zhou H, Ren JS, Li N, Chen HD, Shi JF, Dai M. [Population's acceptance and attitude toward a novel fecal immunochemical test for colorectal cancer screening: a multi-center survey in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:760-767. [PMID: 32842299 DOI: 10.3760/cma.j.cn112150-20191218-00941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the acceptance and attitude toward a novel fecal immunochemical test (FIT) in colorectal cancer screening among populations in China. Methods: From May 2018 to May 2019, 2 474 people aged 50-74 years were recruited from five provinces of China (Zhejiang, Anhui, Jiangsu, Hunan and Yunnan). The general demographic characteristics, acceptance of the new FIT technology and operational difficulties through the whole screening process were obtained through questionnaire survey. Multivariate logistic regression model was used to analyze the factors related to difficulties encountered in sampling stool, reading and uploading results. Results: The subjects were (60.0±6.4) years old, and female, high school of above educated, unemployed/retired/other, married and with medical insurance status of "new rural cooperative medical care (NRCMC)" accounted for 61.7% (1 526), 29.0%(718), 34.3% (849), 92.7% (2 293) and 31.3%(775), respectively. The population's acceptance of the FIT technology was 94.8%. In the process of FIT screening, the percentage of occurred difficulties in sampling stool, reading and uploading results were 33.1% (819), 46.4% (1 147) and 62.9% (1 557), respectively. The main difficulties were the uncertainty about whether the sampling operation was standard (28.0%), the inability to accurately judge the result displayed (32.5%) and the need for help without using a smartphone (44.2%). The results of multivariate logistic regression model analysis showed that people aged 65-74 years old and with medical insurance status of "NRCMC" were more likely to encounter difficulties in sampling, and those who were unemployed/retired/other and living with 3 or more family members were less likely to encounter difficulties in sampling. Those aged 65-74 years old, farmers or migrant workers, and those with "NRCMC" were more likely to encounter difficulties in readingresults, and those with 3 or more family members were less likely to encounter difficulties in reading result. Those with "NRCMC" were more likely to encounter difficulties in uploading results, and those with education level of high school or above, living with more than 3 family members were less likely to encounter difficulties in uploading results. Conclusion: The acceptance of the new FIT technology is relatively high among the subjects. Age, education level, occupation, number of family members living together and medical insurance status might be related to difficulties encountered in sampling stool, reading and uploading results, and it can be further strengthened in terms of the technology and characteristics of sub-populations.
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Affiliation(s)
- H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Zhu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L B Du
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences/ Department of Cancer Prevention,Cancer Hospital of the University of Chinese Academy of Sciences/ Department of Cancer Prevention,Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - D H Wei
- Office for Cancer Prevention and Control, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - D B Wang
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - D Dong
- Office of Cancer Prevention and Treatment, Xuzhou Cancer Hospital, Xuzhou 221000, Jiangsu Province, China
| | - Y Gao
- Department of Colorectal Surgery, Department of Tumor Hospital of Yunnan Province/Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C Zhu
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences/ Department of Cancer Prevention,Cancer Hospital of the University of Chinese Academy of Sciences/ Department of Cancer Prevention,Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y L Ma
- Office for Cancer Prevention and Control, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - J Chai
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - H F Xiao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y X Kong
- Office of Cancer Prevention and Treatment, Xuzhou Cancer Hospital, Xuzhou 221000, Jiangsu Province, China
| | - Q Zhang
- Department of Cancer Prevention, Department of Tumor Hospital of Yunnan Province/ Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
| | - W F Zheng
- Department of Proctology, Lanxi Red Cross Hospital, Lanxi 321100, Zhejiang Province, China
| | - R B Ying
- Department of Surgical Oncology, Taizhou Cancer Hospital, Taizhou 317502, Zhejiang Province, China
| | - H Zhou
- Administrative Management Office, Yunnan Cancer Hospital/ The Third Affiliated Hospital of Kunming Medical University/ Yunnan Cancer Center, Kunming 650118, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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22
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Wang H, Huang HY, Liu CC, Bai FZ, Zhu J, Wang L, Yan XX, Chen YS, Chen HD, Zhang YM, Ren JS, Zou SM, Li N, Zheng ZX, Feng H, Bai HJ, Zhang J, Chen WQ, Dai M, Shi JF. [Health economic evidence for colorectal cancer screening programs in China: an update from 2009-2018]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:429-435. [PMID: 32294848 DOI: 10.3760/cma.j.issn.0254-6450.2020.03.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: This study was to systematically update the economic evaluation evidence of colorectal cancer screening in mainland China. Methods: Based on a systematic review published in 2015, we expanded the scope of retrieval database (PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, Wanfang Data, VIP, CBM) and extended it to December 2018. Focusing on the evidence for nearly 10 years (2009-2018), basic characteristics and main results were extracted. Costs were discounted to 2017 using the consumer price index of medical and health care being provided to the residents, and the ratio of incremental cost-effectiveness ratio (ICER) to per capita GDP in corresponding years were calculated. Results: A total of 12 articles (8 new ones) were included, of which 9 were population-based (all cross-sectional studies) and 3 were model-based. Most of the initial screening age was 40 years (7 articles), and most of the frequency was once in a lifetime (11 articles). Technologies used for primary screening included: questionnaire assessment, immunological fecal occult blood test (iFOBT) and endoscopy. The most commonly used indicator was the cost per colorectal cancer detected, and the median (range) of the 20 screening schemes was 52 307 Chinese Yuan (12 967-3 769 801, n=20). The cost per adenoma detected was 9 220 Yuan (1 859-40 535, n=10). In 3 articles, the cost per life year saved (compared with noscreening) was mentioned and the ratio of ICER to GDP was 0.673 (-0.013-2.459, n=11), which was considered by WHO as "very cost-effective" ; The range of ratios overlapped greatly among different technologies and screening frequencies, but the initial age for screening seemed more cost-effective at the age of 50 years (0.002, -0.013-0.015, n=3), than at the 40 year-olds (0.781, 0.321-2.459, n=8). Conclusions: Results from the population-based studies showed that the cost per adenoma detected was only 1/6 of the cost per colorectal cancer detected, and limited ICER evidence suggested that screening for colorectal cancer was generally cost-effective in Chinese population. Despite the inconclusiveness of the optimal screening technology, the findings suggested that the initial screening might be more cost-effective at older age. No high-level evidence such as randomized controlled trial evaluation was found.
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Affiliation(s)
- H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Y Huang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Zhu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y S Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y M Zhang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S M Zou
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Z X Zheng
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Feng
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - H J Bai
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Zhang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Zhang L, Wang L, Kadeer X, Zeyao L, Sun X, Sun W, She Y, Xie D, Li M, Zou L, Rocco G, Yang P, Chen C, Liu CC, Petersen RH, Ng CSH, Parrish S, Zhang YS, Giordano R, di Tommaso L. Accuracy of a 3-Dimensionally Printed Navigational Template for Localizing Small Pulmonary Nodules: A Noninferiority Randomized Clinical Trial. JAMA Surg 2020; 154:295-303. [PMID: 30586136 DOI: 10.1001/jamasurg.2018.4872] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Importance Localization of small lung nodules are challenging because of the difficulty of nodule recognition during video-assisted thoracoscopic surgery. Using 3-dimensional (3-D) printing technology, a navigational template was recently created to assist percutaneous lung nodule localization; however, the efficacy and safety of this template have not yet been evaluated. Objective To assess the noninferiority of the efficacy and safety of a 3-D-printed navigational template guide for localizing small peripheral lung nodules. Design, Setting, and Participants This noninferiority randomized clinical trial conducted between October 2016 and October 2017 at Shanghai Pulmonary Hospital, Shanghai, China, compared the safety and precision of lung nodule localization using a template-guided approach vs the conventional computed tomography (CT)-guided approach. In total, 213 surgical candidates with small peripheral lung nodules (<2 cm) were recruited to undergo either CT- or template-guided lung nodule localization. An intention-to-treat analysis was conducted. Interventions Percutaneous lung nodule localization. Main Outcomes and Measures The primary outcome was the accuracy of lung nodule localization (localizer deviation), and secondary outcomes were procedural duration, radiation dosage, and complication rate. Results Of the 200 patients randomized at a ratio of 1:1 to the template- and CT-guided groups, most were women (147 vs 53), body mass index ranged from 15.4 to 37.3, the mean (SD) nodule size was 9.7 (2.9) mm, and the mean distance between the outer edge of target nodule and the pleura was 7.8 (range, 0.0-43.9) mm. In total, 190 patients underwent either CT- or template-guided lung nodule localization and subsequent surgery. Among these patients, localizer deviation did not significantly differ between the template- and CT-guided groups (mean [SD], 8.7 [6.9] vs 9.6 [5.8] mm; P = .36). The mean (SD) procedural durations were 7.4 (3.2) minutes for the template-guided group and 9.5 (3.6) minutes for the CT-guided group (P < .001). The mean (SD) radiation dose was 229 (65) mGy × cm in the template-guided group and 313 (84) mGy × cm in CT-guided group (P < .001). Conclusions and Relevance The use of the 3-D-printed navigational template for localization of small peripheral lung nodules showed efficacy and safety that were not substantially worse than those for the CT-guided approach while significantly simplifying the localization procedure and decreasing patient radiation exposure. Trial Registration ClinicalTrials.gov identifier: NCT02952261.
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Affiliation(s)
- Lei Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Long Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Xiermaimaiti Kadeer
- Department of Thoracic Surgery, The Sixth People's Hospital of Nantong, Jiang Su, People's Republic of China
| | - Li Zeyao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Xiwen Sun
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Weiyan Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Dong Xie
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Mu Li
- Department of Medicine, Saint Vincent Hospital, Worcester, Massachusetts
| | - Liling Zou
- Department of Medical Statistics, Tongji University School of Medicine, Shanghai, People's Republic of China.,Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, New York
| | - Gaetano Rocco
- Department of Thoracic Diseases, National Cancer Institute, Pascale Foundation, Naples, Italy
| | - Ping Yang
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - René H Petersen
- Department of Cardiothoracic Surgery, Rigshospitalet, Copenhagen, Denmark
| | - Calvin Sze Hang Ng
- Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Town, Hong Kong
| | | | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Raffaele Giordano
- Department of Advanced Biomedical Sciences, Adult and Pediatric Cardiac Surgery, University of Naples Federico II, Naples, Italy
| | - Luigi di Tommaso
- Department of Advanced Biomedical Sciences, Adult and Pediatric Cardiac Surgery, University of Naples Federico II, Naples, Italy
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Wang N, Huo XY, Xu AT, Liu CC, Zhang XL, Zeng M, Tian L. [In vitro study on signal transduction in mice spiral ganglion cell stimulated by multi-wavelength laser based on calcium imaging]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 55:133-138. [PMID: 32074751 DOI: 10.3760/cma.j.issn.1673-0860.2020.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To research the auditory nerve transduction effects under multi-wavelength pulsed laser stimulations within a safe and acceptable signal range. Methods: The real-time detection of intracellular calcium concentration was adopted by specific fluorescent indicator staining based on calcium imager. The spiral ganglion cells of mice were cultured in vitro. After fluorescent indicating, morphologic observation under optical microscope, Fura-2 calcium ion fluorescence excitation, intact morphology cells selection, fixing the optical fiber, the spiral ganglion cells were irradiated by different wavelength laser, including visible light (450 nm) and near infrared light (808 nm,1 065 nm). The intracellular calcium concentration was monitored by calcium ion imaging. Results: When 450 nm laser stimulated spiral ganglion cells, the intracellular calcium concentration was strongly increased, however, for other wavelength laser stimulation, there was no obvious relative response. And the sensitivity expression of the nerve cells under laser was related with the location of laser fiber. Cells closer to the fiber produced more obvious changes in calcium ion concentration, while for cells farther away from the fiber, the change amplitudes were weaker although the number of changes in calcium ion concentration was consistent. Conclusion: The spiral ganglion cells of mice can induce a signal transduction response under the action of laser, and the response has laser wavelength selectivity.
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Affiliation(s)
- N Wang
- Advanced Medical Research Institute, Shandong University, Jinan 250012, China; Department of Otorhinolaryngology Head and Neck Surgery, the Second Hospital of Shandong University, Jinan 250033, China
| | - X Y Huo
- School of Microelectronics, Shandong University, Jinan 250101, China
| | - A T Xu
- Advanced Medical Research Institute, Shandong University, Jinan 250012, China; Department of Otorhinolaryngology Head and Neck Surgery, the Second Hospital of Shandong University, Jinan 250033, China
| | - C C Liu
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Hospital of Shandong University, Jinan 250033, China
| | - X L Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Hospital of Shandong University, Jinan 250033, China
| | - M Zeng
- School of Microelectronics, Shandong University, Jinan 250101, China
| | - L Tian
- Advanced Medical Research Institute, Shandong University, Jinan 250012, China; School of Microelectronics, Shandong University, Jinan 250101, China
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Zang R, Shi JF, Lerut TE, Wang L, Liu CC, Brunelli A, Petersen RH, Ng CSH, Lim E, Gao S. Ten-Year Trends of Clinicopathologic Features and Surgical Treatment of Lung Cancer in China. Ann Thorac Surg 2020; 109:389-395. [DOI: 10.1016/j.athoracsur.2019.08.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 07/28/2019] [Accepted: 08/08/2019] [Indexed: 12/20/2022]
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Martinez PS, Pucheu CM, Liu CC, Carter RT. Cytokine tear film profile determination in eyes of healthy dogs and those with inflammatory periocular and skin disorders. Vet Immunol Immunopathol 2020; 221:110012. [PMID: 31978678 DOI: 10.1016/j.vetimm.2020.110012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/26/2019] [Accepted: 01/14/2020] [Indexed: 12/20/2022]
Abstract
Alterations in serum cytokine levels and profiles have been reported in association with a variety of disease conditions (e.g., allergic, immune-mediated, etc.) in both humans and animals. In comparison to serum cytokine measurements, tear cytokine measurements might be expected to more accurately reflect the inflammatory milieu associated with periocular disease. The purpose of this study was to use a multiplexed assay to compare the cytokine profile of tears in healthy dogs to those with inflammatory skin and periocular disease. We were able to detect IL-2, IL-6, IL-8, and TNF-α in >47 % of tear samples from both healthy canine patients and those with inflammatory dermatologic disease (with or without concurrent periocular involvement). In contrast, IL-7, IL-10 and IFN-γ were rarely detected. Dogs with both dermatologic and periocular disease (but not dermatologic disease alone) had higher levels of IL-8 (P < 0.001, P > 0.05, respectively) relative to healthy dogs. Patients with concurrent dermatologic and periocular disease also demonstrated significantly greater variability in IL-8 concentrations between eyes than did healthy dogs (P < 0.0001). Our findings suggest that tear cytokine analysis may prove to be a useful tool to investigate the role and interactions of the local ocular immune response in patients with inflammatory periocular disease.
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Affiliation(s)
- P S Martinez
- Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, United States
| | - C M Pucheu
- Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, United States
| | - C C Liu
- Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, United States
| | - R T Carter
- Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, United States.
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27
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Mao AY, Shi JF, Qiu WQ, Liu CC, Dong P, Huang HY, Wang K, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ. [Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:54-61. [PMID: 31914570 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion: From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.
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Affiliation(s)
- A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control,Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010,China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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28
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Wang K, Liu CC, Mao AY, Shi JF, Dong P, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Chen WQ, Qiu WQ, Dai M. [Analysis on the demand, access and related factors of cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:84-91. [PMID: 31914574 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the demand and access to the cancer prevention and treatment knowledge and related factors among urban residents in China from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of general demographic characteristics, the demand and access to cancer prevention and treatment knowledge, and the influencing factors of the attitude. The Chi-square test was used to analyze the difference of the demand of the cancer prevention knowledge among different groups and the corresponding factors of the cancer prevention and treatment knowledge were analyzed by using the logistic regression model. Results: The proportion of residents who need the cancer prevention and treatment knowledge was 79.5%. The demand rate of the inducement, symptom and diagnosis methods of cancer in the occupational population was highest, about 66.8%, 71.0% and 20.8%, respectively. The demand rate of treatment methods and cost in current cancer patients was the highest, about the 45.9% and 21.9%, respectively. The top three sources to acquire the cancer prevention and treatment knowledge were "broadcast or television" (69.5%), "books, newspapers, posters or brochures" (44.7%) and "family and friends" (33.8%). The multivariate analysis showed that compared with public institution personnel/civil servants, unmarried/cohabiting/divorced/widowed and others, annual household income less than 20 000 CNY, from the eastern region, people without cancer diagnosis and people with self-assessment of cancer risk, the demand rate of cancer prevention and treatment knowledge was higher in enterprise personnel/workers, married, annual household income between 60 000 CNY and 150 000 CNY, from the central region, people with cancer and people with unclear cancer risk (all P values <0.05). Conclusion: There was a high demand for the cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017. The main access to the knowledge is from the radio or television. The occupation, marital status, annual household income, residential region, health status and risk of disease were the main factors of the demand of the cancer prevention and treatment knowledge.
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Affiliation(s)
- K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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29
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Liu CC, Shi CL, Shi JF, Mao AY, Huang HY, Dong P, Bai FZ, Chen YS, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Xu WH, Qiu WQ, Dai M, Chen WQ. [Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:47-53. [PMID: 31914569 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion: The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.
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Affiliation(s)
- C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C L Shi
- Department of Disease Control and Prevention, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y S Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Scholl of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital/Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W H Xu
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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30
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Dong P, Shi JF, Qiu WQ, Liu CC, Wang K, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Mao AY, He J. [Analysis on the health literacy of the cancer prevention and treatment and its related factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:76-83. [PMID: 31914573 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment. Results: The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (P<0.001). The level of health literacy of the cancer prevention and treatment of residents aged 50 to 69 years old, other occupational groups, unmarried, the central and western region residents and the group with unclear self-assessment of cancer risk was significantly lower than that of residents younger than 40 years old, personnel of public institutions/civil servants, married, the eastern region residents and the group whose self-assessment without cancer risk (P<0.05) . The level of health literacy of cancer prevention and treatment of females, people who went to high school or over, cancer risk assessment/screening population, cancer patients and occupational population was significantly higher than that of males, people who had an education level of primary school or below and community residents (P<0.05) . Conclusion: The health literacy of the cancer prevention and treatment of urban residents in China was relatively high, but there was still room for improvement. Gender, age, educational level, occupation, region, marital status, self-assessment of cancer risk, and type of respondents were the key influencing factors of the health literacy of the cancer prevention and treatment. Male, 50-69 years old, lower educational level, central and western regions, unclear cancer risk self-assessment, and without specific environmental exposure to cancer prevention and treatment knowledge or related risk factors were the characteristics of the key intervention group of the health literacy of the cancer prevention and treatment.
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Affiliation(s)
- P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Li HC, Wang K, Yuan YN, Mao AY, Liu CC, Liu S, Yang L, Huang HY, Dong P, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Wang N, Qiu WQ, Shi JF. [Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:69-75. [PMID: 31914572 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion: Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.
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Affiliation(s)
- H C Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - Y N Yuan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Officeof Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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32
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Liu L, Mei J, He J, Demmy TL, Gao S, Li S, He J, Liu Y, Huang Y, Xu S, Hu J, Chen L, Zhu Y, Luo Q, Mao W, Tan Q, Chen C, Li X, Zhang Z, Jiang G, Xu L, Zhang L, Fu J, Li H, Wang Q, Liu D, Tan L, Zhou Q, Fu X, Jiang Z, Chen H, Fang W, Zhang X, Li Y, Tong T, Yu Z, Liu Y, Zhi X, Yan T, Zhang X, Pu Q, Che G, Lin Y, Ma L, Embun R, Aragón J, Evman S, Kocher GJ, Bertolaccini L, Brunelli A, Gonzalez-Rivas D, Dunning J, Liu HP, Swanson SJ, Borisovich RA, Sarkaria IS, Sihoe ADL, Nagayasu T, Miyazaki T, Chida M, Kohno T, Thirugnanam A, Soukiasian HJ, Onaitis MW, Liu CC. International expert consensus on the management of bleeding during VATS lung surgery. Ann Transl Med 2019; 7:712. [PMID: 32042728 DOI: 10.21037/atm.2019.11.142] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Intraoperative bleeding is the most crucial safety concern of video-assisted thoracic surgery (VATS) for a major pulmonary resection. Despite the advances in surgical techniques and devices, intraoperative bleeding is still not rare and remains the most common and potentially fatal cause of conversion from VATS to open thoracotomy. Therefore, to guide the clinical practice of VATS lung surgery, we proposed the International Interest Group on Bleeding during VATS Lung Surgery with 65 experts from 10 countries in the field to develop this consensus document. The consensus was developed based on the literature reports and expert experience from different countries. The causes and incidence of intraoperative bleeding were summarised first. Seven situations of intraoperative bleeding were collected based on clinical practice, including the bleeding from massive vessel injuries, bronchial arteries, vessel stumps, and bronchial stumps, lung parenchyma, lymph nodes, incisions, and the chest wall. The technical consensus for the management of intraoperative bleeding was achieved on these seven surgical situations by six rounds of repeated revision. Following expert consensus statements were achieved: (I) Bleeding from major vascular injuries: direct compression with suction, retracted lung, or rolled gauze is useful for bleeding control. The size and location of the vascular laceration are evaluated to decide whether the bleeding can be stopped by direct compression or by ligation. If suturing is needed, the suction-compressing angiorrhaphy technique (SCAT) is recommended. Timely conversion to thoracotomy with direct compression is required if the operator lacks experience in thoracoscopic angiorrhaphy. (II) Bronchial artery bleeding: pre-emptive clipping of bronchial artery before bronchial dissection or lymph node dissection can reduce the incidence of bleeding. Bronchial artery bleeding can be stopped by compression with the suction tip, followed by the handling of the vascular stump with energy devices or clips. (III) Bleeding from large vessel stumps and bronchial stumps: bronchial stump bleeding mostly comes from accompanying bronchial artery, which can be clipped for hemostasis. Compression for hemostasis is usually effective for bleeding at the vascular stump. Otherwise, additional use of hemostatic materials, re-staple or a suture may be necessary. (IV) Bleeding from the lung parenchyma: coagulation hemostasis is the first choice. For wounds with visible air leakage or an insufficient hemostatic effect of coagulation, suturing may be necessary. (V) Bleeding during lymph node dissection: non-grasping en-bloc lymph node dissection is recommended for the nourishing vessels of the lymph node are addressed first with this technique. If bleeding occurs at the site of lymph node dissection, energy devices can be used for hemostasis, sometimes in combination with hemostatic materials. (VI) Bleeding from chest wall incisions: the chest wall incision(s) should always be made along the upper edge of the rib(s), with good hemostasis layer by layer. Recheck the incision for hemostasis before closing the chest is recommended. (VII) Internal chest wall bleeding: it can usually be managed with electrocoagulation. For diffuse capillary bleeding with the undefined bleeding site, compression of the wound with gauze may be helpful.
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Affiliation(s)
- Lunxu Liu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jiandong Mei
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Todd L Demmy
- Department of Thoracic Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shanqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medicine, Beijing 100032, China
| | - Jianxing He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Yang Liu
- Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing 100853, China
| | - Yunchao Huang
- Department of Thoracic and Cardiovascular Surgery, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming 650106, China
| | - Shidong Xu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin 150086, China
| | - Jian Hu
- Department of Thoracic Surgery, First Hospital Affiliated to Medical College of Zhejiang University, Hangzhou 310003, China
| | - Liang Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yuming Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200003, China
| | - Qingquan Luo
- Shanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Weimin Mao
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Qunyou Tan
- Department of Thoracic Surgery, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing 400042, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Xiaofei Li
- Department of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China
| | - Zhu Zhang
- Department of Thoracic Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200003, China
| | - Lin Xu
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing 210009, China
| | - Lanjun Zhang
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China
| | - Jianhua Fu
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China
| | - Hui Li
- Department of Thoracic Surgery, Beijing Chao-Yang Hospital, Beijing 100043, China
| | - Qun Wang
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Deruo Liu
- Department of Thoracic Surgery, China and Japan Friendship Hospital, Beijing 100029, China
| | - Lijie Tan
- Department of Lung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Qinghua Zhou
- Department of Lung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiangning Fu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhongmin Jiang
- Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan 250014, China
| | - Haiquan Chen
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Wentao Fang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Jiao Tong University, Shanghai 200032, China
| | - Xun Zhang
- Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin 300051, China
| | - Yin Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ti Tong
- Department of Thoracic Surgery, Second Hospital of Jilin University, Changchun 130041, China
| | - Zhentao Yu
- Department of Esophageal Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Yongyu Liu
- Department of Thoracic Surgery, Liaoning Cancer Hospital and Institute, Shenyang 110042, China
| | - Xiuyi Zhi
- Department of Thoracic Surgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
| | - Tiansheng Yan
- Department of Thoracic Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Xingyi Zhang
- Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun 130041, China
| | - Qiang Pu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Guowei Che
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yidan Lin
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lin Ma
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Raul Embun
- Thoracic Surgery Department, Hospital Universitario Miguel Servet, IIS Aragón, Zaragoza, Spain
| | - Javier Aragón
- Department of Thoracic Surgery, Asturias University Central Hospital, Oviedo, Spain
| | - Serdar Evman
- Department of Thoracic Surgery, University of Health Sciences, Sureyyapasa Training and Research Hospital, Istanbul, Turkey
| | - Gregor J Kocher
- Division of Thoracic Surgery, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Luca Bertolaccini
- Department of Thoracic Surgery, Maggiore Teaching Hospital, Bologna, Italy
| | | | - Diego Gonzalez-Rivas
- Department of Thoracic Surgery, Coruña University Hospital and Minimally Invasive Thoracic Surgery Unit (UCTMI), Coruña, Spain
| | - Joel Dunning
- Department of Cardiothoracic Surgery, James Cook University Hospital, Middlesbrough, UK
| | - Hui-Ping Liu
- Department of Thoracic Surgery, Chang Gung Memorial Hospital (Linkou), Taiwan, China
| | - Scott J Swanson
- Department of Thoracic Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Inderpal S Sarkaria
- Department of Cardiothoracic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Alan Dart Loon Sihoe
- Honorary Consultant in Cardio-Thoracic Surgery, Gleneagles Hong Kong Hospital, Hong Kong, China
| | - Takeshi Nagayasu
- Department of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Takuro Miyazaki
- Department of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Masayuki Chida
- Department of General Thoracic Surgery, Dokkyo Medical University, Mibu, Tochigi, Japan
| | - Tadasu Kohno
- Department of Thoracic Surgery, Thoracoscopic Surgery Center, New Tokyo Hospital, Chiba, Japan
| | - Agasthian Thirugnanam
- Agasthian Thoracic Surgery Pte Ltd. 3 Mount Elizabeth #14-12 Mount Elizabeth Medical Centre, Singapore
| | - Harmic J Soukiasian
- Division of Thoracic Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark W Onaitis
- Moores Cancer Center, UC San Diego Health - La Jolla, Moores Cancer Center, La Jolla, USA
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Sun Yat-Sen Cancer Center, Taipei, Taiwan, China
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Liang W, Cai K, Chen C, Chen H, Fang W, Fu J, Fu X, Gao S, Hu J, Huang Y, Jiang G, Jiao W, Li S, Li G, Li H, Li H, Li X, Liang N, Liu D, Liu H, Liu J, Liu L, Liu Y, Luo Q, Ma H, Mao W, Peng Z, Qiao G, Shao G, Tan L, Tan Q, Wang Q, Wang C, Wu Q, Xu S, Xu S, Xu L, Yang Y, Yu F, Zhang B, Zhang L, Zhao B, Zhi X, Brunelli A, Petersen RH, Liu CC, Ricciuti B, Metro G, Tuzi A, Suter MB, Evison M, Seki N, Sasada S, Izumo T, Cho WCS, He J. Society for Translational Medicine consensus on postoperative management of EGFR-mutant lung cancer (2019 edition). Transl Lung Cancer Res 2019; 8:1163-1173. [PMID: 32010594 DOI: 10.21037/tlcr.2019.12.14] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Wenhua Liang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Kaican Cai
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - Haiquan Chen
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Thoracic Surgery, Shanghai Chest Hospital, Jiao Tong University, Shanghai 200030, China
| | - Wentao Fang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Jiao Tong University, Shanghai 200030, China
| | - Junke Fu
- Department of Thoracic Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - Xiangning Fu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shugeng Gao
- Department of Thoracic Surgical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center, Beijing 100021, China
| | - Jian Hu
- Department of Thoracic Surgery, the First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yunchao Huang
- Department of Thoracic and Cardiovascular Surgery, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming 650118, China
| | - Ganning Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital of Tongji University, Shanghai 200433, China
| | - Wenjie Jiao
- Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - Shanqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medicine, Beijing 100730, China
| | - Gaofeng Li
- Department of Thoracic and Cardiovascular Surgery, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming 650118, China
| | - Hecheng Li
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Hui Li
- Department of Thoracic Surgery, Beijing Chao-Yang Hospital, Beijing 100020, China
| | - Xiaofei Li
- Department of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710032, China
| | - Naixin Liang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medicine, Beijing 100730, China
| | - Deruo Liu
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing 100029, China
| | - Hongxu Liu
- Department of Thoracic Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - Jun Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Lunxu Liu
- Department of Cardiovascular and Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yang Liu
- Department of Thoracic Surgery, The PLA General Hospital, Beijing 100853, China
| | - Qingquan Luo
- Shanghai Lung Tumor Clinical Medical Center, Shanghai 200030, China
| | - Haitao Ma
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Weimin Mao
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Zhongmin Peng
- Department of Thoracic Surgery, Shandong Provincial Hospital, Jinan 250021, China
| | - Guibin Qiao
- Department of Thoracic Surgery, Guangzhou General Hospital of Guangzhou Military Area Command, Guangzhou 510010, China
| | - Guoguang Shao
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun 130021, China
| | - Lijie Tan
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Qunyou Tan
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Qun Wang
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Changli Wang
- Tianjin Cancer Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Qingchen Wu
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Shidong Xu
- Department of Thoracic surgery, Harbin Medical University Cancer Hospital, Harbin 150040, China
| | - Songtao Xu
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Lin Xu
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing 210009, China
| | - Yue Yang
- Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China
| | - Fenglei Yu
- Department of Cardiovascular Surgery, Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Baijiang Zhang
- Department of Thoracic Surgery, Shandong Cancer Hospital and Institute, Jinan 250117, China
| | - Lanjun Zhang
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Bo Zhao
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiuyi Zhi
- Department of Thoracic Surgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
| | | | - René Horsleben Petersen
- Department of Cardiothoracic Surgery, Copenhagen University, Rigshospitalet, Copenhagen, Denmark
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Sun Yat-Sen Cancer Center, Taipei, Taiwan, China
| | - Biagio Ricciuti
- Medical Oncology, Santa Maria della Misericordia Hospital, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Giulio Metro
- Medical Oncology, Santa Maria della Misericordia Hospital, Azienda Ospedaliera di Perugia, Perugia, Italy
| | | | | | - Matthew Evison
- North West Lung Centre, University Hospital of South Manchester, Wythenshawe, UK
| | - Nobuhiko Seki
- Division of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Itabashi-ku, Tokyo, Japan
| | - Shinji Sasada
- Department of Respiratory Medicine, Tokyo Saiseikai Central Hospital, Minato-ku, Tokyo, Japan
| | - Takhiro Izumo
- Department of Respiratory Medicine, Japanese Red Cross Medical Center, Shibuya-ku, Tokyo, Japan
| | | | - Jianxing He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
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Martelli V, Cai A, Nica EM, Taupin M, Prokofiev A, Liu CC, Lai HH, Yu R, Ingersent K, Küchler R, Strydom AM, Geiger D, Haenel J, Larrea J, Si Q, Paschen S. Sequential localization of a complex electron fluid. Proc Natl Acad Sci U S A 2019; 116:17701-17706. [PMID: 31431528 PMCID: PMC6731632 DOI: 10.1073/pnas.1908101116] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Complex and correlated quantum systems with promise for new functionality often involve entwined electronic degrees of freedom. In such materials, highly unusual properties emerge and could be the result of electron localization. Here, a cubic heavy fermion metal governed by spins and orbitals is chosen as a model system for this physics. Its properties are found to originate from surprisingly simple low-energy behavior, with 2 distinct localization transitions driven by a single degree of freedom at a time. This result is unexpected, but we are able to understand it by advancing the notion of sequential destruction of an SU(4) spin-orbital-coupled Kondo entanglement. Our results implicate electron localization as a unified framework for strongly correlated materials and suggest ways to exploit multiple degrees of freedom for quantum engineering.
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Affiliation(s)
- Valentina Martelli
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Ang Cai
- Department of Physics and Astronomy, Rice University, Houston, TX 77005
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
| | - Emilian M Nica
- Department of Physics and Astronomy, Rice University, Houston, TX 77005
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
| | - Mathieu Taupin
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Andrey Prokofiev
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Chia-Chuan Liu
- Department of Physics and Astronomy, Rice University, Houston, TX 77005
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
| | - Hsin-Hua Lai
- Department of Physics and Astronomy, Rice University, Houston, TX 77005
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
| | - Rong Yu
- Department of Physics and Astronomy, Rice University, Houston, TX 77005
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
- Department of Physics, Renmin University of China, Beijing 100872, China
| | - Kevin Ingersent
- Department of Physics, University of Florida, Gainesville, FL 32611-8440
| | - Robert Küchler
- Physics of Quantum Materials, Max Planck Institute for Chemical Physics of Solids, 01187 Dresden, Germany
| | - André M Strydom
- Highly Correlated Matter Research Group, Physics Department, University of Johannesburg, Auckland Park 2006, South Africa
| | - Diana Geiger
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Jonathan Haenel
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Julio Larrea
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria
| | - Qimiao Si
- Department of Physics and Astronomy, Rice University, Houston, TX 77005;
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
| | - Silke Paschen
- Institute of Solid State Physics, Vienna University of Technology, 1040 Vienna, Austria;
- Department of Physics and Astronomy, Rice University, Houston, TX 77005
- Rice Center for Quantum Materials, Rice University, Houston, TX 77005
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35
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Huang HY, Zhu SL, Zhou TH, Li ZF, Liu CC, Wang H, Yan SP, Song SM, Zou SM, Zhang YM, Li N, Zhu L, Liao XZ, Shi JF, Dai M. [Natural history of colorectal cancer: a Meta-analysis on global prospective cohort studies]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:821-831. [PMID: 31357806 DOI: 10.3760/cma.j.issn.0254-6450.2019.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To acknowledge the availability and rates of annual transition of outcomes during the progression and regression stages of colorectal cancer (CRC) and related diseases, by pooling global follow-up studies on the natural history of CRC. Methods: Till March, 2017, data was collected through systematic literature review over multiple databases, including PubMed, Embase, Cochrane and Chinese Biology Medicine (CBM) disc. Information regarding the characteristics, classification system of health states, related outcomes and incidence rates on CRC or high-risk adenoma for the surveillance cohorts of the studies, were extracted and summarized. Both Meta and sensitivity analyses were performed on those outcomes if they appeared in more than 3 studies, using the random effects model. Annual transition rate with 95%CI was used to estimate each of the outcomes, Quality of the studies was assessed, using the Newcastle-Ottawa Scale. Results: A total of 29 cohort studies were included, with the mean follow-up period as 5.7 years. All studies except one, focused on adenoma-carcinoma pathway and reported the outcome parameters of adenomas by different risk, and some reported the findings on different sizes (n=6) of adenomas. These cohorts were divided into three groups (normal status, with low-risk or high-risk adenoma) according to the status of baseline endoscopic pathologic findings. Their available outcome parameters, corresponding number of involved articles, aggregated sample size and pooled annual transition rates were presented. Six parameters were obtained in the normal cohorts, including those from normal to low-risk adenoma (16 articles, 58 235, 0.030: 0.024-0.037), to high-risk adenoma (17 articles, 62 089, 0.003: 0.002-0.004), to diminutive adenoma (<5 mm, 4 articles, 1 277, 0.021: 0.013-0.029), to small adenoma (6-9 mm, 4 articles, 1 277, 0.006: 0.001-0.010), to large adenoma (≥10 mm, 7 articles, 3 531, 0.002: 0.000-0.003) and to CRC (19 articles, 104 836, 0.000 3: 0.000 2-0.000 5). Three parameters were obtained in low-risk adenoma in cohorts with polypectomy findings, including recurrence (9 articles, 4 788, 0.109: 0.062-0.157) from low-risk adenoma after polypectomy to high-risk adenoma (10 articles, 5 736, 0.009: 0.004-0.013) and to CRC (12 articles, 11 347, 0.000 6: 0.000 4-0.000 8). Three parameters were obtained on high-risk adenoma from cohorts with polypectomy findings, including recurrence (12 articles, 7 030, 0.038: 0.028-0.048) from high-risk adenoma after polypectomy to low-risk adenoma (8 articles, 2 489, 0.133: 0.081-0.185) and CRC (14 articles, 14 899, 0.002: 0.001-0.003). Except for normal to low-risk adenomas, results from the sensitivity analysis for the other parameters showed stable. Of the included studies, two presented incidence rates of CRC in different clinical stages and the another two were focusing on the parameters related to serrated pathway. Conclusions: Globally, follow-up studies reported data on natural history of colorectal cancer is of paucity. Compared to the "adenoma-carcinoma" pathway, transition parameters of the serrated lesion pathway are more limited. This Meta-analysis provided convincing evidence for optimizing the strategies regarding follow-up program on the disease, using the baseline endoscopic findings from global CRC Screening Program. These results also offered strong data-related support for Chinese population- specific interventional model on colorectal cancer.
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Affiliation(s)
- H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S L Zhu
- Office for Cancer Control and Research, Hunan Cancer Hospital, Changsha 410006, China
| | - T H Zhou
- Teaching and Research Department, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Z F Li
- Medical Oncology, Health Center for Staff in Kailuan Hospital, Tangshan 063000, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S P Yan
- Office for Cancer Control and Research, Hunan Cancer Hospital, Changsha 410006, China
| | - S M Song
- Teaching and Research Department, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - S M Zou
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y M Zhang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Zhu
- Teaching and Research Department, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - X Z Liao
- Office for Cancer Control and Research, Hunan Cancer Hospital, Changsha 410006, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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36
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Lin CS, Huang YY, Pan SC, Cheng CT, Liu CC, Shih CH, Ho HL, Yeh YC, Chou TY, Lee MY, Wei YH. Involvement of increased p53 expression in the decrease of mitochondrial DNA copy number and increase of SUV max of FDG-PET scan in esophageal squamous cell carcinoma. Mitochondrion 2019; 47:54-63. [PMID: 31071450 DOI: 10.1016/j.mito.2019.05.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 03/27/2019] [Accepted: 05/01/2019] [Indexed: 12/13/2022]
Abstract
We appraised Warburg effect through analysis of mitochondrial DNA (mtDNA) copy number and maximum standard uptake value (SUVmax) of 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) scan and their alterations in esophageal squamous cell carcinoma (ESCC). Later T-status and longer longitudinal tumor length were associated with lower mtDNAESCC copy number (p < .05) but higher SUVmax-ESCC (p < .05), respectively. Lower mtDNAESCC copy number correlated with higher SUVmax-ESCC, reciprocally (p < .05). ESCCs expressing mutant p53 protein had lower mtDNAESCC copy number (p = .056) but higher SUVmax-ESCC (p = .046). We conclude that mutant p53 protein may be involved in the Warburg effect of ESCC.
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Affiliation(s)
- Chen-Sung Lin
- Center for General Education, Kainan University, Taoyuan City, Taiwan; School of Life Science, National Taiwan Normal University, Taipei, Taiwan; Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan; Division of Thoracic Surgery, Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan; Division of Thoracic Surgery, Koo-Foundation Sun Yat-sen Cancer Center, Taipei, Taiwan
| | - Yu-Yi Huang
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Nuclear Medicine, Koo-Foundation Sun Yat-sen Cancer Center, Taipei, Taiwan
| | - Siao-Cian Pan
- Center for Mitochondrial Medicine and Free Radical Research, Changhua Christian Hospital, Changhua City, Taiwan
| | - Chih-Tao Cheng
- Division of Psychiatry, Koo-Foundation Sun Yat-sen Cancer Center, Taipei, Taiwan
| | - Chia-Chuan Liu
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Division of Thoracic Surgery, Koo-Foundation Sun Yat-sen Cancer Center, Taipei, Taiwan
| | - Chih-Hsun Shih
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Division of Thoracic Surgery, Koo-Foundation Sun Yat-sen Cancer Center, Taipei, Taiwan
| | - Hsiang-Ling Ho
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yi-Chen Yeh
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Teh-Ying Chou
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ming-Yuan Lee
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Pathology, Koo-Foundation Sun Yat-sen Cancer Center, Taipei, Taiwan.
| | - Yau-Huei Wei
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan; Center for Mitochondrial Medicine and Free Radical Research, Changhua Christian Hospital, Changhua City, Taiwan.
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37
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Zeng Y, Mayne N, Yang CFJ, D'Amico TA, Ng CSH, Liu CC, Petersen RH, Rocco G, Brunelli A, Liu J, Liu Y, Huang W, He J, Wang W, Jiang L, Cui F, Wang W, Liang W, He J. A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer. Ann Surg Oncol 2019; 26:2053-2062. [PMID: 30900105 DOI: 10.1245/s10434-019-07318-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND Models for predicting the survival outcomes of stage I non-small-cell lung cancer (NSCLC) defined by the newly released 8th edition TNM staging system are scarce. This study aimed to develop a nomogram for predicting the cancer-specific survival (CSS) of these patients and identifying individuals with a higher risk for CSS. METHODS A total of 30,475 NSCLC cases were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the risk factors to build a nomogram. The model was subjected to bootstrap internal validation with the SEER database, and external validation with a multicenter cohort of 1133 patients from China. The difference in the impact of adjuvant chemotherapy on model-defined high- and low-risk patients was examined using the National Cancer Database (NCDB). RESULTS Eight independent prognostic factors were identified and integrated into the model. The calibration curves showed good agreement. The concordance index (C-index) of the nomogram was higher than that of the staging system (IA1, IA2, IA3, and IB) (internal validation set 0.63 vs. 0.56; external validation set 0.66 vs. 0.55; both p < 0.01). Specifically, 21.7% of stage IB patients (7.5% of all stage I) were categorized into the high-risk group (score > 30). There was a significant interaction effect between the adjuvant chemotherapy and risk groups in the NCDB cohort (p = 0.003). CONCLUSIONS We established a practical nomogram to predict CSS for 8th edition stage I NSCLC. A prospective study is warranted to determine its role in identifying adjuvant chemotherapy candidates.
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Affiliation(s)
- Yuan Zeng
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Nicholas Mayne
- Section of General Thoracic Surgery, Duke University Medical Center, Durham, NC, USA
| | - Chi-Fu Jeffrey Yang
- Section of General Thoracic Surgery, Duke University Medical Center, Durham, NC, USA
| | - Thomas A D'Amico
- Section of General Thoracic Surgery, Duke University Medical Center, Durham, NC, USA
| | - Calvin S H Ng
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - René Horsleben Petersen
- Department of Cardiothoracic Surgery, University Hospital of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Gaetano Rocco
- Division of Thoracic Surgical Oncology, Department of Thoracic Surgery and Oncology, Istituto Nazionale Tumori, IRCCS, Fondazione Pascale, Naples, Italy
| | | | - Jun Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Yang Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Weizhe Huang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Jiaxi He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Wei Wang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Long Jiang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Fei Cui
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Wenjun Wang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China
| | - Wenhua Liang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China. .,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China.
| | - Jianxing He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China. .,Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, Guangdong Province, People's Republic of China.
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38
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Hsu LH, Ko JS, Liu CC, Feng AC, Chu NM. Conventional transbronchial needle aspiration is promising for identifying EGFR mutations in lung adenocarcinoma. Thorac Cancer 2019; 10:856-863. [PMID: 30810282 PMCID: PMC6449271 DOI: 10.1111/1759-7714.13014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 01/20/2019] [Accepted: 01/22/2019] [Indexed: 12/25/2022] Open
Abstract
Background Conventional transbronchial needle aspiration (TBNA) is advantageous for the one‐step diagnosis and staging of lung adenocarcinoma under topical anesthesia and conscious sedation. We examined its efficacy for identifying EGFR mutations. Methods Forty‐seven patients with proven or suspected lung adenocarcinoma indicated for hilar‐mediastinal lymph node (LN) staging between June 2011 and December 2017 were enrolled. The cellblock was prepared using the plasma‐thrombin method. TaqMan PCR was used to detect mutations. Considering cost effectiveness, only the sample with the highest tumor cell fraction in the same patient was chosen for analysis. Results TBNA provided positive results of malignancy in 27 patients. Seventeen patients (63.0%) had cellblocks eligible for mutation testing. Bronchial biopsy (n = 6), neck LN fine needle aspiration (n = 1), and brushing (n = 1), provided higher tumor cell fractions for analysis in eight patients. TBNA was the exclusive method used in nine patients (19.1%). For patients with an inadequate TBNA cellblock, bronchial biopsy (n = 5), neck LN fine needle aspiration (n = 3), computed tomography‐guided transthoracic needle biopsy (n = 1), and brushing (n = 1) were used for analysis. Modification to specimen processing to prevent exhaustion by cytology after June 2016 improved the adequacy of cellblock samples (9/10, 90% vs. 8/17, 47.1%; P = 0.042). Conclusions These findings suggest the promising role of conventional TBNA and highlight the challenges of doing more with less in an era of precision medicine.
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Affiliation(s)
- Li-Han Hsu
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,Division of Pulmonary and Critical Care Medicine, Sun Yat-Sen Cancer Center, Taipei, Taiwan.,Department of Medicine, National Yang-Ming University Medical School, Taipei, Taiwan
| | - Jen-Sheng Ko
- Department of Pathology, Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - An-Chen Feng
- Department of Research, Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Nei-Min Chu
- Department of Medical Oncology, Sun Yat-Sen Cancer Center, Taipei, Taiwan
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Yao F, Shi CL, Liu CC, Wang L, Song SM, Ren JS, Guo CG, Lou PA, Dai M, Zhu L, Shi JF. [Economic burden of stomach cancer in China during 1996-2015: a systematic review]. Zhonghua Yu Fang Yi Xue Za Zhi 2019; 51:756-762. [PMID: 28763928 DOI: 10.3760/cma.j.issn.0253-9624.2017.08.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To clarify the research status of economic burden of stomach cancer in China from 1996 to 2015. Methods: Based on three electronic literature databases (China Knowledge Resource Integrated Database, Wanfang Database and PubMed), a total of 2 873, 1 244 and 84 articles published during 1996 to 2015 were found, respectively, using keywords of"cancer","neoplasms","malignant tumor","tumor","economic burden","health expenditure","cost","cost of illness", and"China". According to the inclusion and exclusion criteria, 30 literatures were included in the final analysis. Then the basic information and study subjects, indicators and main results of economic burden were abstracted and analyzed. All the expenditure data were discounted to the values in 2013 by using China's percapita consumer price index. Results: Totally, 30 articles were included, covering 14 provinces and of which 16 were published during 2011-2015. One article was based on population-level and the remaining studies were all based on individual-level. The number of individual-level articles that reported direct medical, non-medical and indirectly economic burden was 29, 1 and 2, respectively. The main indicators of direct medical expenditure were expenditure per patient (22), per clinical visit (9) and per diem (11), respectively. The median expenditure per patient was 7 387-28 743 RMB (CNY), with average annual growth rate (AAGR) of 1.7% (1996-2013). The median expenditure per clinical visit was 18 504-41 871 RMB (2003-2013), with AAGR of 5.5%. The median expenditure per diem was 313-1 445 RMB (1996-2012), with AAGR of 3.7%. Difference was found among provinces. Conclusions: The evidence for economic burden of stomach cancer was still limited over the past two decades and mainly focused on individual and regional levels. An increase and differences in provinces were observed in direct medical expenditure. Evaluation on direct non-medical and indirect medical expenditure needs to be addressed.
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Affiliation(s)
- F Yao
- Cancer Research Institute, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - C L Shi
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - C C Liu
- Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
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Zhao Y, Wang W, Liang H, Yang CFJ, D'Amico T, Ng CSH, Liu CC, Petersen RH, Rocco G, Brunelli A, Liu J, He J, Huang W, Liang W, He J. The Optimal Treatment for Stage IIIA-N2 Non-Small Cell Lung Cancer: A Network Meta-Analysis. Ann Thorac Surg 2018; 107:1866-1875. [PMID: 30557543 DOI: 10.1016/j.athoracsur.2018.11.024] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 11/09/2018] [Accepted: 11/12/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND The optimal treatment for stage IIIA-N2 non-small cell lung cancer (NSCLC) is controversial. We aimed to address this important issue through a Bayesian network meta-analysis. METHODS We performed a search of electronic databases for randomized controlled trials comparing the following treatments: surgery, radiotherapy, chemotherapy, and their multiple combinations before March 25, 2018. Pooled data on overall survival and treatment-related deaths were analyzed within the Bayesian framework. RESULTS Eighteen eligible trials reporting 13 treatments were included. In terms of overall survival, neoadjuvant chemotherapy followed by surgery and adjuvant chemotherapy or radiotherapy, which tended to be consistent (hazard ratio [HR] 1.14, 95% credible interval [CrI] 0.21 to 5.93), ranked superior to other treatments. Notably, neoadjuvant chemotherapy followed by surgery and adjuvant radiotherapy was significantly more effective in prolonging survival than surgery alone (HR 0.38, 95% CrI 0.18 to 0.81), surgery plus adjuvant radiotherapy (HR 0.51, 95% CrI 0.29 to 0.92) and potentially surgery plus adjuvant chemotherapy (HR 0.49, 95% CrI 0.23 to 1.05). Overall, with 29% as the highest possibility of causing the fewest treatment-related deaths, neoadjuvant chemotherapy followed by surgery and adjuvant chemotherapy or radiotherapy was the safest treatment option. CONCLUSIONS Neoadjuvant chemotherapy followed by surgery and adjuvant chemotherapy or radiotherapy has the greatest possibility to be the optimal treatment with the best overall survival and fewest treatment-related deaths for stage IIIA-N2 NSCLC.
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Affiliation(s)
- Yi Zhao
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Hengrui Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Chi-Fu Jeffrey Yang
- Section of General Thoracic Surgery, Duke University Medical Center, Durham, North Carolina
| | - Thomas D'Amico
- Section of General Thoracic Surgery, Duke University Medical Center, Durham, North Carolina
| | - Calvin S H Ng
- Department of Surgery, Prince of Wales Hospital, Hong Kong, China
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - René Horsleben Petersen
- Department of Cardiothoracic Surgery, University Hospital of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Gaetano Rocco
- Division of Thoracic Surgical Oncology, Istituto Nazionale Tumori, IRCCS, Fondazione Pascale, Naples, Italy
| | - Alessandro Brunelli
- Department of Thoracic Surgery, St. James's University Hospital, Leeds, United Kingdom
| | - Jun Liu
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jiaxi He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Weizhe Huang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China.
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Institute of Respiratory Disease, Guangzhou, China; State Key Laboratory of Respiratory Disease, Guangzhou, China; National Clinical Research Center for Respiratory Disease, Guangzhou, China
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Hsu PK, Chen HS, Liu CC, Wu SC. Neoadjuvant Chemoradiation Versus Upfront Esophagectomy in Clinical Stage II and III Esophageal Squamous Cell Carcinoma. Ann Surg Oncol 2018; 26:506-513. [PMID: 30430325 DOI: 10.1245/s10434-018-7060-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND The benefits of neoadjuvant chemoradiation (NCRT) compared to upfront esophagectomy (UE) in esophageal squamous cell carcinoma (ESCC) is controversial. Our purpose was to determine whether clinical stages based on the 8th edition American Joint Committee on Cancer Tumor-Node-Metastasis staging system could guide treatment decision. METHODS Data from 2503 patients with clinical stages II and III ESCC diagnosed between 2008 and 2014 were obtained from a nationwide database. Propensity score matching was used to identify well-balanced pairs of patients. Cox proportional hazards regression and log-rank test were used in the survival analysis. The outcomes of patients receiving "NCRT followed by surgery" or "UE" strategies were compared. RESULTS The treatment modality (UE or NCRT) was not a prognostic factor in clinical stage II ESCC (HR: 0.97; p = 0.778). In contrast, the UE group demonstrated a significantly worse outcome compared with the NCRT group in clinical stage III ESCC (HR: 1.39; p < 0.001). After matching, patients who underwent UE for clinical stage II ESCC had median survival/3-year overall survival (OS) rates of 27.8 months/39.2% compared with 32.7 months/49.8% in the NCRT group (p = 0.508). The patients who underwent UE for clinical stage III ESCC had median survival/3-year OS rates of 17.9 months/28.2% in the UE group compared with 24.0 months/41.8% in the NCRT group (p < 0.001). CONCLUSIONS Our data suggest that NCRT strategy improved survival compared with UE in clinical stage III ESCC but not in clinical stage II tumors.
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Affiliation(s)
- Po-Kuei Hsu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital and School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Hui-Shan Chen
- Department of Health Care Administration, College of Health Sciences, Chang Jung Christian University, Tainan, Taiwan
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Shiao-Chi Wu
- Institute of Health and Welfare Policy, National Yang-Ming University, Taipei, Taiwan
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Liu CC, Zhzang HL, Zhi LL, Jin P, Zhao L, Li T, Zhou XM, Sun DS, Cheng GH, Xin Q, Shi L, Xia M. Correction to: CDK5 Regulates PD-L1 Expression and Cell Maturation in Dendritic Cells of CRSwNP. Inflammation 2018; 42:145. [PMID: 30264169 DOI: 10.1007/s10753-018-0902-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
The article CDK5 Regulates PD-L1 Expression and Cell Maturation in Dendritic Cells of CRSwNP, written by C. C. Liu, H. L. Zhang, L. L. Zhi, P. Jin, L. Zhao, T. Li, X. M. Zhou, D. S. Sun, G. H. Cheng, Q. Xin, L. Shi, and M. Xia was originally published electronically on the publisher's internet.
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Affiliation(s)
- C C Liu
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China
| | - H L Zhzang
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China
| | - L L Zhi
- Department of Otolaryngology, The Central Hospital of Zibo, No.54, Gongqingtuan West Road, Zhangdian District, Zibo, Shandong Province, China
| | - P Jin
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China
| | - L Zhao
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China
| | - T Li
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China
| | - X M Zhou
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China
| | - D S Sun
- Central Laboratory, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, Shandong Province, China
| | - G H Cheng
- Department of Cancer Center, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, Shandong, Province, China
| | - Q Xin
- Department of Cancer Center, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, Shandong, Province, China
| | - L Shi
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China.
| | - M Xia
- Department of Otolaryngology, The Second Hospital of Shandong University, Shandong University, No.274 Beiyuan Road, Jinan, 250033, Shandong Province, China.
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Fang WW, Liu CC, Zhang HW, Xu H, Zhou S, Fang KX, Peng YL, Zhao WS. Selection of Differential Isolates of Magnaporthe oryzae for Postulation of Blast Resistance Genes. Phytopathology 2018; 108:878-884. [PMID: 29384446 DOI: 10.1094/phyto-09-17-0333-r] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
A set of differential isolates of Magnaporthe oryzae is needed for the postulation of blast resistance genes in numerous rice varieties and breeding materials. In this study, the pathotypes of 1,377 M. oryzae isolates from different regions of China were determined by inoculating detached rice leaves of 24 monogenic lines. Among them, 25 isolates were selected as differential isolates based on the following characteristics: they had distinct responses on the monogenic lines, contained the minimum number of avirulence genes, were stable in pathogenicity and conidiation during consecutive culture, were consistent colony growth rate, and, together, could differentiate combinations of the 24 major blast resistance genes. Seedlings of rice cultivars were inoculated with this differential set of isolates to postulate whether they contain 1 or more than 1 of the 24 blast resistance genes. The results were consistent with those from polymerase chain reaction analysis of target resistance genes. Establishment of a standard set of differential isolates will facilitate breeding for blast resistance and improved management of rice blast disease.
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Affiliation(s)
- W W Fang
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - C C Liu
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - H W Zhang
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - H Xu
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - S Zhou
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - K X Fang
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - Y L Peng
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
| | - W S Zhao
- First, second, third, fifth, sixth, seventh, and eighth authors: State Key Laboratory of Agrobiotechnology and MOA Key Lab of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China; and fourth author: Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
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Hsu PK, Chen HS, Liu CC, Wu SC. Application of the Eighth AJCC TNM Staging System in Patients With Esophageal Squamous Cell Carcinoma. Ann Thorac Surg 2018; 105:1516-1522. [PMID: 29409986 DOI: 10.1016/j.athoracsur.2017.12.032] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 12/13/2017] [Accepted: 12/23/2017] [Indexed: 10/17/2022]
Abstract
BACKGROUND The eighth edition of the American Joint Committee on Cancer Tumor-Node-Metastasis staging system separates classifications for the clinical (c), pathologic (p), and postneoadjuvant pathologic (yp) stages. We aimed to evaluate its application in patients with esophageal squamous cell carcinoma (ESCC). METHODS Patient data were obtained from the Taiwan Cancer Registry database. Patients who underwent esophagectomy for c stage I to III ESCC were included for survival analysis. RESULTS Data of 3,399, 1,805, and 1,594 patients were included for c, p, and yp staging, respectively. The 3-year overall survival (OS) rates for c stage I, II, and III were 67.4%, 46.7%, and 38.4%, respectively. The 3-year OS rates for p stage I, II, III, and IV were 70.7%, 49.8%, 30.8%, and 10.6%, respectively. The 3-year OS rates for yp stage I, II, III, and IV were 59.4%, 37.8%, 27.6%, and 3.7%, respectively. Survival curve analysis demonstrated a robust discriminatory capability and monotonicity of gradients of the new system. However, yp stage I was observed in a heterogeneous group of patients with substantial survival differences. Meanwhile, patients in the ypT0 N0 stage had a 5-year OS rate of 52.1%, which was equivalent to that of patients with p stage I (54.5%). The 5-year OS rate of patients in the ypTis-2N0 was 39.1%, which was equivalent to that of patients in p stage II (40.1%). CONCLUSIONS The present study serves as an external validation of the newly released staging system in the prognostication of patients with ESCC and suggests subgrouping of the yp stage I into ypT0 N0 and non-ypT0 N0 in the future.
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Affiliation(s)
- Po-Kuei Hsu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital and School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Hui-Shan Chen
- Department of Health Care Administration, College of Health Sciences, Chang Jung Christian University, Tainan, Taiwan
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Shiao-Chi Wu
- Institute of Health and Welfare Policy, National Yang-Ming University, Taipei, Taiwan
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Liu CC, Wang BY, Shih CS, Pennarun N, Lim LC, Gao SY, Cheng CT. Comparison of survival between lung cancer patients receiving single or multiple-incision thoracoscopic surgery. J Thorac Dis 2018; 10:930-940. [PMID: 29607166 DOI: 10.21037/jtd.2018.01.58] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background The effect of single-incision thoracoscopic surgery for lung cancer on long-term survival is unknown and no studies have investigated whether there are differences in survival between single and multiple incision approaches. We aimed to compare long-term overall survival and disease-free survival of patients who underwent single-incision thoracoscopic surgery with those who received multiple-incision thoracoscopic surgery for lung cancer. Methods We retrospectively analyzed 532 patients with lung cancer who underwent either single-incision (n=150) or multiple-incision thoracoscopic resection (n=382) during the period January 2000 to December 2014. Patients were matched on propensity score at a 1:2 ratio to estimate the effect of treatment on long-term and disease-free survival. Overall survival and disease-free survival were assessed using the Kaplan-Meier method, the log-rank test and Cox proportional-hazards regression. Results Propensity matching resulted in 138 patients in the single-incision group and 276 patients in the multiple-incision group. The matched patients in the single-incision group had a significantly better 5-year overall survival than those in the multiple-incision group (P=0.027). Disease-free survival was similar between the two groups before and after matching. The number of chest wall incisions did not influence overall survival or disease-free survival. Conclusions The long-term outcomes of single-incision thoracoscopic surgery are comparable to those of multiple-incision thoracoscopic surgery for lung cancer.
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Affiliation(s)
- Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei
| | - Bing-Yen Wang
- Division of Thoracic Surgery, Department of Surgery, Changhua Christian Hospital and Chung Shan Medical University, Taichung.,School of Medicine, Kaohsiung Medical University, Kaohsiung.,Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung
| | - Chih-Shiun Shih
- Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei
| | - Nicolas Pennarun
- Department of Medical Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei
| | - Lay-Chin Lim
- Department of Medical Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei
| | - Shi-Ying Gao
- Department of Medical Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei
| | - Chih-Tao Cheng
- Department of Medical Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei.,Department of Psychology and Social Work, National Defense University, Taipei
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Chen HS, Hsu PK, Liu CC, Wu SC. Upfront surgery and pathological stage-based adjuvant chemoradiation strategy in locally advanced esophageal squamous cell carcinoma. Sci Rep 2018; 8:2180. [PMID: 29391589 PMCID: PMC5794775 DOI: 10.1038/s41598-018-20654-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 01/22/2018] [Indexed: 01/10/2023] Open
Abstract
Adjuvant chemoradiation is reported to have a survival benefit for esophageal squamous cell carcinoma (ESCC). We evaluated the “upfront surgery and pathological stage-based adjuvant chemoradiation” strategy, in which adjuvant therapy is guided by pathological stage, in locally advanced ESCC. Data from 2976 clinical stage II/III ESCC patients, including 1735 in neoadjuvant chemoradiation and 1241 in upfront surgery groups, were obtained from a nationwide database. Patients in the upfront surgery group were further categorized into the “upfront surgery and pathological stage-based adjuvant chemoradiation” and “upfront surgery only” groups. The 3-year overall survival (OS) rates in the “neoadjuvant chemoradiation”, “upfront surgery and pathological stage-based adjuvant chemoradiation”, and “upfront surgery only” groups were 41.5%, 45.8%, and 28.5%, respectively. In propensity score matched patients, the 3-year OS rate was 41.7% in the neoadjuvant chemoradiation group, compared to 35.6% in the “upfront surgery and pathological stage-based adjuvant chemoradiation” group (p = 0.147), and 20.3% in the “upfront surgery only” group (p < 0.001). No survival difference was observed between the “neoadjuvant chemoradiation followed by surgery” protocol and the “upfront surgery and pathological stage-based adjuvant chemoradiation” strategy.
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Affiliation(s)
- Hui-Shan Chen
- Department of Health Care Administration, College of Health Sciences, Chang Jung Christian University, Tainan, Taiwan
| | - Po-Kuei Hsu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital and School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Shiao-Chi Wu
- Institute of Health and Welfare Policy, National Yang-Ming University, Taipei, Taiwan
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Zeng Y, Liang W, Liu J, He J, Ng CSH, Liu CC, Petersen RH, Rocco G, D'Amico T, Brunelli A, Chen H, Zhi X, Dong X, Wang W, Cui F, Xiao D, Wang W, Yang W, Pan H, He J. Esophageal cancer in elderly patients: a population-based study. J Thorac Dis 2018; 10:448-457. [PMID: 29600077 DOI: 10.21037/jtd.2018.01.89] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background As the aging issue and increased elderly esophageal cancer (EC) patients, we sought to study the clinical characteristics, treatment modality and outcomes of EC patients 70 years or older compared with those younger than 70 years old. Methods The national surveillance, epidemiology, and end results (SEER) database for the period from 1973 to 2013 was analyzed. The patient and treatment characteristics were compared between the age groups. Multivariate Cox proportional hazard regression analyses were also performed to identify independent prognostic factors. Propensity-score matching analyses (PSA) regarding survival after different treatments were also performed in locoregional EC. Results Compared with the younger group, patients 70 years or older were characterized by having a higher proportion of patients with female gender, white race, localized disease, non-adenocarcinoma and without any treatment, as well as inferior overall survival (OS) [hazard ratio (HR), 1.324] and EC-specific survival (HR, 1.270). In addition, older patients shared same independent prognostic factors with younger patients, including age, histology and race. Specifically, compared with those receiving no intensive treatments, surgery alone (HR, 0.342), both surgery and RT (HR, 0.323) and RT only (HR, 0.525) were favorable among elderly patients, as confirmed by both multivariate adjustment and PSA. Conclusions Compared to younger EC patients, those 70 years or older showed distinctive clinical characteristics and inferior survival. Despite showing a higher proportion of localized disease, patients 70 years or older were less likely to be subjected to surgery or/and RT. Thus, the role of intensive treatments, which were identified as favorable factors among elderly patients in this study, warrants further investigation.
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Affiliation(s)
- Yuan Zeng
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jun Liu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jiaxi He
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Calvin S H Ng
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Chia-Chuan Liu
- Division of thoracic surgery, Sun Yat-Sen Cancer Center, Taipei
| | - René Horsleben Petersen
- Department of Cardiothoracic Surgery, University Hospital of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Gaetano Rocco
- Division of Thoracic Surgical Oncology, Department of Thoracic Surgery and Oncology, Istituto Nazionale Tumori, IRCCS, Fondazione Pascale, Naples, Italy
| | - Thomas D'Amico
- Section of General Thoracic Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Haiquan Chen
- Department of Thoracic Surgery, Fudan University Shanghai, china Cancer Center, Shanghai 200032, China
| | - Xiuyi Zhi
- Department of Thoracic Surgery, Beijing Xuanwu Hospital of Capital Medical University, Beijing 100053, China
| | - Xiao Dong
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330008, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Research Center for Translational Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Fei Cui
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Dakai Xiao
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Research Center for Translational Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Wenjun Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Research Center for Translational Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Wei Yang
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330008, China
| | - Hui Pan
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.,Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
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Lin CS, Huang YY, Pan SC, Liu CC, Shih CH, Ho HL, Yeh YC, Chou TY, Lee MY, Wei YH. AB002. Relationship between mitochondrial DNA copy number and maximum standard uptake value of 18F-fluorodeoxyglucose positron emission tomography scan in esophageal squamous cell carcinoma. J Thorac Dis 2017. [DOI: 10.21037/jtd.2017.s002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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50
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Gao S, Zhang Z, Brunelli A, Chen C, Chen C, Chen G, Chen H, Chen JS, Cassivi S, Chai Y, Downs JB, Fang W, Fu X, Garutti MI, He J, He J, Hu J, Huang Y, Jiang G, Jiang H, Jiang Z, Li D, Li G, Li H, Li Q, Li X, Li Y, Li Z, Liu CC, Liu D, Liu L, Liu Y, Ma H, Mao W, Mao Y, Mou J, Ng CSH, Petersen RH, Qiao G, Rocco G, Ruffini E, Tan L, Tan Q, Tong T, Wang H, Wang Q, Wang R, Wang S, Xie D, Xue Q, Xue T, Xu L, Xu S, Xu S, Yan T, Yu F, Yu Z, Zhang C, Zhang L, Zhang T, Zhang X, Zhao X, Zhao X, Zhi X, Zhou Q. The Society for Translational Medicine: clinical practice guidelines for mechanical ventilation management for patients undergoing lobectomy. J Thorac Dis 2017; 9:3246-3254. [PMID: 29221302 PMCID: PMC5708473 DOI: 10.21037/jtd.2017.08.166] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Patients undergoing lobectomy are at significantly increased risk of lung injury. One-lung ventilation is the most commonly used technique to maintain ventilation and oxygenation during the operation. It is a challenge to choose an appropriate mechanical ventilation strategy to minimize the lung injury and other adverse clinical outcomes. In order to understand the available evidence, a systematic review was conducted including the following topics: (I) protective ventilation (PV); (II) mode of mechanical ventilation [e.g., volume controlled (VCV) versus pressure controlled (PCV)]; (III) use of therapeutic hypercapnia; (IV) use of alveolar recruitment (open-lung) strategy; (V) pre-and post-operative application of positive end expiratory pressure (PEEP); (VI) Inspired Oxygen concentration; (VII) Non-intubated thoracoscopic lobectomy; and (VIII) adjuvant pharmacologic options. The recommendations of class II are non-intubated thoracoscopic lobectomy may be an alternative to conventional one-lung ventilation in selected patients. The recommendations of class IIa are: (I) Therapeutic hypercapnia to maintain a partial pressure of carbon dioxide at 50-70 mmHg is reasonable for patients undergoing pulmonary lobectomy with one-lung ventilation; (II) PV with a tidal volume of 6 mL/kg and PEEP of 5 cmH2O are reasonable methods, based on current evidence; (III) alveolar recruitment [open lung ventilation (OLV)] may be beneficial in patients undergoing lobectomy with one-lung ventilation; (IV) PCV is recommended over VCV for patients undergoing lung resection; (V) pre- and post-operative CPAP can improve short-term oxygenation in patients undergoing lobectomy with one-lung ventilation; (VI) controlled mechanical ventilation with I:E ratio of 1:1 is reasonable in patients undergoing one-lung ventilation; (VII) use of lowest inspired oxygen concentration to maintain satisfactory arterial oxygen saturation is reasonable based on physiologic principles; (VIII) Adjuvant drugs such as nebulized budesonide, intravenous sivelestat and ulinastatin are reasonable and can be used to attenuate inflammatory response.
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Affiliation(s)
- Shugeng Gao
- Department of Thoracic Surgical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center, Beijing 100021, China
| | - Zhongheng Zhang
- Department of Emergency Medicine, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
| | | | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fujian 350001, China
| | - Gang Chen
- Department of Thoracic Surgery, Guangdong General Hospital, Guangzhou 510080, China
| | | | - Jin-Shing Chen
- Department of Anesthesiology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 10002, Taiwan
| | | | - Ying Chai
- Second Affiliated Hospital, Medical College of Zhejiang University, Hangzhou 310009, China
| | - John B. Downs
- Department of Anesthesiology and Critical Care Medicine, University of Florida, Gainesville, FL, USA
| | - Wentao Fang
- Shanghai Chest Hospital, Shanghai 200030, China
| | - Xiangning Fu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Martínez I. Garutti
- Department of Anaesthesia and Postoperative Care, Hospital General Universitario Gregorio Marañon, Madrid, Spain
| | - Jianxing He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510000, China
| | - Jie He
- Department of Thoracic Surgical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center, Beijing 100021, China
| | - Jian Hu
- First Affiliated Hospital, Medical College of Zhejiang University, Hangzhou 310003, China
| | - Yunchao Huang
- Department of Thoracic Surgery, Yunnan Cancer Hospital, Kunming 650100, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - Hongjing Jiang
- Department of Esophageal Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Zhongmin Jiang
- Department of Thoracic Surgery, Shandong Qianfoshan Hospital, Jinan 250014, China
| | - Danqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Beijing 100032, China
| | - Gaofeng Li
- Department of Thoracic Surgery, Yunnan Cancer Hospital, Kunming 650100, China
| | - Hui Li
- Department of Thoracic Surgery, Beijing Chaoyang Hospital, Beijing 100049, China
| | - Qiang Li
- Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Chengdu 610041, China
| | - Xiaofei Li
- Department of Thoracic Surgery, Tangdu Hospital Fourth Military Medical University, Xi’an 710038, China
| | - Yin Li
- Department of Thoracic Surgery, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Zhijun Li
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Chia-Chuan Liu
- Division of Thoracic Surgery, Department of Surgery, Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Deruo Liu
- Department of Thoracic Surgery, China and Japan Friendship Hospital, Beijing 100029, China
| | - Lunxu Liu
- Department of Cardiovascular and Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yongyi Liu
- Department of Thoracic Surgery, Liaoning Cancer Hospital and Institute, Shengyang 110042, China
| | - Haitao Ma
- Department of Thoracic Surgery, The First Hospital Affiliated to Soochow University, Suzhou 215000, China
| | - Weimin Mao
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310000, China
| | - Yousheng Mao
- Department of Thoracic Surgical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center, Beijing 100021, China
| | - Juwei Mou
- Department of Thoracic Surgical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center, Beijing 100021, China
| | - Calvin Sze Hang Ng
- Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, N.T., Hong Kong, China
| | - René H. Petersen
- Department of Cardiothoracic Surgery, Rigshospitalet, Copenhagen, Denmark
| | - Guibin Qiao
- Department of Thoracic Surgery, Guangzhou General Hospital of Guangzhou Military Area Command, Guangzhou 510000, China
| | - Gaetano Rocco
- Department of Thoracic Surgery and Oncology, National Cancer Institute, Pascale Foundation, Naples, Italy
| | - Erico Ruffini
- Thoracic Surgery Unit, University of Torino, Torino, Italy
| | - Lijie Tan
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Qunyou Tan
- Department of Thoracic Surgery, Daping Hospital, Research Institute of Surgery Third Military Medical University, Chongqing 400042, China
| | - Tang Tong
- Department of Thoracic Surgery, Second Affiliated Hospital of Jilin University, Changchun 130041, China
| | - Haidong Wang
- Department of Thoracic Surgery, Southwest Hospital, Third Millitary Medical University, Chongqing 400038, China
| | - Qun Wang
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Ruwen Wang
- Department of Thoracic Surgery, Daping Hospital, Research Institute of Surgery Third Military Medical University, Chongqing 400042, China
| | - Shumin Wang
- Department of Thoracic Surgery, General Hospital of Shenyang Military Area, Shenyang 110015, China
| | - Deyao Xie
- Department of Cardiovascular and Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Qi Xue
- Department of Thoracic Surgical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center, Beijing 100021, China
| | - Tao Xue
- Department of Thoracic Surgery, Zhongda Hospital Southeast University, Nanjing 210009, China
| | - Lin Xu
- Department of Thoracic Surgery, Jiangsu Cancer Hospital, Nanjing 210008, China
| | - Shidong Xu
- Department of Thoracic Surgery, Heilongjiang Cancer Hospital, Harbin 150049, China
| | - Songtao Xu
- Department of Thoracic Surgery, Shanghai Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - Tiansheng Yan
- Department of Thoracic Surgery, Peking University Third Hospital, Beijing 100083, China
| | - Fenglei Yu
- Department of Cardiovascular Surgery, Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Zhentao Yu
- Department of Esophageal Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Chunfang Zhang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Lanjun Zhang
- Cancer Center, San Yat-sen University, Guangzhou 510060, China
| | - Tao Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Xun Zhang
- Department of Thoracic Surgery, Tanjin Chest Hospital, Tianjin 300300, China
| | - Xiaojing Zhao
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200000, China
| | - Xuewei Zhao
- Department of Thoracic Surgery, Shanghai Changzheng Hospital, Shanghai 200000, China
| | - Xiuyi Zhi
- Department of Thoracic Surgery, Xuanwu Hospital of Capital University of Medical Sciences, Beijing 100053, China
| | - Qinghua Zhou
- Department of Thoracic Surgery, Liaoning Cancer Hospital and Institute, Shengyang 110042, China
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