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Tao X, Zhu JY, Xu ZQ, Wu QJ, Jin D, Zhang Y, Luo Y, Huang WX. [A case analysis of multidisciplinary treatment for a patient with esthetic defects of upper anterior teeth with the aid of digital technology]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:1296-1299. [PMID: 38061873 DOI: 10.3760/cma.j.cn112144-20230816-00085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- X Tao
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - J Y Zhu
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Z Q Xu
- Department of Digital Clinical Department, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Q J Wu
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - D Jin
- Department of Digital Clinical Department, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Y Zhang
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Y Luo
- Department of Digital Clinical Department, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - W X Huang
- Department of Periodontics, Stomatological Hospital of Xiamen Medical College, Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
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Zhang Y, Ye X, Ge J, Guo D, Zheng D, Yu H, Chen Y, Yao G, Lu Z, Yuille A, Lu L, Jin D, Yan S. Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e498. [PMID: 37785566 DOI: 10.1016/j.ijrobp.2023.06.1739] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model. MATERIALS/METHODS We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance. RESULTS The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality. CONCLUSION We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.
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Affiliation(s)
- Y Zhang
- Johns Hopkins University, Baltimore, MD
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - A Yuille
- Johns Hopkins University, Baltimore, MD
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Wang Y, Zhu J, Guo D, Yan K, Lu L, Wang S, Jin D, Ye X, Wang Q. Deep Learning for Automatic Prediction of Lymph Node Station Metastasis in Esophageal Cancer Patients from Contrast-Enhanced CT. Int J Radiat Oncol Biol Phys 2023; 117:S55. [PMID: 37784523 DOI: 10.1016/j.ijrobp.2023.06.347] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The diagnosis of lymph node (LN) metastasis in computed tomography (CT) is an essential yet challenging task in esophageal cancer staging and treatment planning. Although criteria (e.g., RECIST, morphological/texture features) are proposed to predict LN metastasis, the diagnostic accuracy remains low with sensitivity <50% and specificity <75%, as reported in previous studies. Deep learning (DL) has the potential to address this issue by learning from large-scale labeled data. However, due to the practical surgery procedure in lymph node dissection, it is difficult to pair the metastasis of individual LN reported in the pathology report to the LN instance found in the CT image. Hence, in this study, we first use pathology reports to determine the LNS metastasis, then develop a multiple instance deep learning (MIDL) model to predict lymph node station (LNS) metastasis. MATERIALS/METHODS We collected 1200 esophageal cancer patients with preoperative contrast-enhanced CT before surgery. A recently developed automatic mediastinal LNS segmentation model was first applied to segment LNS of 1 to 8 based on the IASLC protocol. For each LNS, the local CT region of interest (ROI) was cropped to generate a station-wise CT patch, where the LNS was labeled as metastatic if at least one metastatic LN was indicated in the pathology report. Using the station-wise CT patch and LNS label, we train a 3D MIDL model, MobileNetV3, to predict LNS metastasis. To better provide the LN position priors in MIDL, LN instances (with a short axis >4mm) were also segmented using an automatic LN detection algorithm and were added to the MIDL model as an auxiliary input. Five-fold cross-validation was conducted to evaluate the MIDL performance. RESULTS The MIDL model's performance is summarized in Table 1. The MIDL model incorporating an additional LN instance mask demonstrated a superior overall AUC of 0.7539, surpassing the model without the LN mask input by 2.93%. The specificity was evaluated at a threshold resulting in a recall of 0.7, and the best model outperformed the CT input model in terms of specificity by 2.11%. This highlights the value of including the LN position prior to the MIDL model. Notably, when a threshold was set to result in a specificity of 75%, the best MIDL model demonstrated a significantly higher recall compared to the previously reported clinical diagnostic recall (39.7% vs. 63.21%). CONCLUSION We developed a MIDL classification model to predict LNS metastasis using CT scans of 1200 patients. Our findings suggest that the MIDL model can substantially improve LNS metastasis prediction and has the potential to play an essential role in cancer staging, treatment planning, and prognostic analysis.
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Affiliation(s)
- Y Wang
- Alibaba Group (US) Inc., New York, NY
| | - J Zhu
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - K Yan
- Alibaba DAMO Academy, Beijing, China
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - S Wang
- School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Q Wang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
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Wang P, Ge J, Zheng D, Zhu X, Liu J, Wu Y, Lu L, Yan S, Jin D, Ye X. Anatomy-Guided Deep Learning Model for Accurate and Robust Gross Tumor Volume Segmentation in Lung Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e71. [PMID: 37786077 DOI: 10.1016/j.ijrobp.2023.06.803] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In lung cancer radiation therapy, clinicians must outline the gross tumor volume (GTV) precisely on the planning computed tomography (pCT) for accurate radiation dose delivery. However, due to the limited contrast between tumor and normal tissues in lung parenchyma, accurate delineation of tumor boundaries is difficult leading to large inter-observer variation. In this study, we develop an anatomy-guided lung GTV deep segmentation model using a training cohort of multi-center datasets. The quantitative segmentation performance is evaluated on an independent dataset, where the inter-observer delineation variation is also assessed. MATERIALS/METHODS We collected and curated four publicly available lung datasets with GTV annotations (Lung-PET-CT-Dx, LIDC-IDRI, NSCLC-Radiogenomics and RIDER-CT) for deep learning model development. A total of 871 CT scans of patients, who were diagnosed with T1-T4 NSCLC, were available for training after data curation. The GTV annotations of primary tumor were examined and edited by two experienced radiation oncologists following the RTOG 1106 protocol. An anatomy-guided deep learning model was proposed, which consisted two deep networks. The first deep network used CT scan as input and segmented 4 anatomic organs (airway, heart, pulmonary artery and pulmonary vein), while the second deep network took both CT scan and these pre-segmented 4 organs as input and segmented the lung GTV. With the help of anatomic priors from 4 pre-segmented organs, the second deep network could more easily locate the GTV. We used nnUNet as the deep segmentation network. For evaluation, we used NSCLC-Radiomics as the testing dataset, which contains 20 CT scans each annotated by 5 radiation oncologists. The auto-segmented GTV were compared against each of the manual GTV reference. Inter-observer variation was also assessed using the 5 manual GTV references. RESULTS The proposed anatomic-guided lung GTV segmentation model achieved a mean Dice score of 82.4% and 95% Hausdorff distance (HD95) of 6.9mm when averaged cross 20 patients and 5 GTV references (Table 1), which outperformed the basic deep GTV segmentation model by markedly reducing 19.4% HD95 error. The performance of proposed model was also comparable to the inter-observer variation (Dice score: 82.4% vs. 81.9%, HD95 6.9 vs. 6.4mm), indicating that our model had similar reproducibility as human observers. CONCLUSION We developed and tested an anatomy-guided deep learning model for segmenting GTV in NSCLC patients. The model achieves high quantitative segmentation performance, which is comparable to the human observer variation. It can be potentially used in radiotherapy practice to improve GTV delineation consistency and reduce workloads of radiation oncologists.
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Affiliation(s)
- P Wang
- Alibaba DAMO Academy, Hangzhou, Zhejiang, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Zhu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - J Liu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Y Wu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Li XY, Liu SH, Liu C, Zu HM, Guo XQ, Xiang HL, Huang Y, Yan ZL, Li YJ, Sun J, Song RX, Yan JQ, Ye Q, Liu F, Huang L, Meng FP, Zhang XN, Yang SS, Hu SJ, Ruan JG, Li YL, Wang NN, Cui HP, Wang YM, Lei C, Wang QH, Tian HL, Qu ZS, Yuan M, Shi RC, Yang XT, Jin D, Su D, Liu YJ, Chen Y, Xia YX, Li YZ, Yang QH, Li H, Zhao XL, Tian ZM, Yu HJ, Zhang XJ, Wu CX, Wu ZJ, Li SS, Shen Q, Liu XM, Hu JP, Wu MQ, Dang T, Wang J, Meng XM, Wang HY, Jiang ZY, Liu YY, Liu Y, Qu SX, Tao H, Yan DM, Liu J, Fu W, Yu J, Wang FS, Qi XL, Fu JL. [Impact of different diagnostic criteria for assessing mild micro-hepatic encephalopathy in liver cirrhosis: an analysis based on a prospective, multicenter, real-world study]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:961-968. [PMID: 37872092 DOI: 10.3760/cma.j.cn501113-20220602-00298] [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] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Objective: To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test. Methods: This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ (2) test. A kappa test was used to compare the consistency between groups. Results: After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea (Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences (P < 0.001). Conclusion: The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.
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Affiliation(s)
- X Y Li
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - S H Liu
- The First School of Clinical Medicine of Lanzhou University, Lanzhou 730000, China
| | - C Liu
- Department of Radiology, Affiliated Zhongda Hospital, Southeast University, Nanjing 210000, China
| | - H M Zu
- Department of Gastroenterology, Qinghai Provincial Fourth People's Hospital, Xining 810000, China
| | - X Q Guo
- Department of Hepatology, the Third People's Hospital of Taiyuan, Taiyuan 030000, China
| | - H L Xiang
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - Y Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha 410000, China
| | - Z L Yan
- Department of Gastroenterology, Qinghai Provincial Fourth People's Hospital, Xining 810000, China
| | - Y J Li
- Department of Gastroenterology, Qinghai Provincial Fourth People's Hospital, Xining 810000, China
| | - J Sun
- Department of Hepatology, the Third People's Hospital of Taiyuan, Taiyuan 030000, China
| | - R X Song
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - J Q Yan
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - Q Ye
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - F Liu
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha 410000, China
| | - L Huang
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - F P Meng
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - X N Zhang
- Medical School of Chinese PLA, Beijing 100853, China
| | - S S Yang
- Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan 750000, China
| | - S J Hu
- Department of Gastroenterology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan 750000, China
| | - J G Ruan
- Branch Hospital for Diseases of the Heart, Brain, and Blood Vessels of General Hospital of Ningxia Medical University, Yinchuan 750000, China
| | - Y L Li
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - N N Wang
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - H P Cui
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Y M Wang
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - C Lei
- Department of Hepatology, the First People's Hospital of Changde City, Changde 415000, China
| | - Q H Wang
- Department of Hepatology, the First People's Hospital of Changde City, Changde 415000, China
| | - H L Tian
- Department of Hepatology, the First People's Hospital of Changde City, Changde 415000, China
| | - Z S Qu
- Department of Infectious Diseases, Xiangxi People's Hospital, Jishou 416000, China
| | - M Yuan
- Department of Infectious Diseases, Xiangxi People's Hospital, Jishou 416000, China
| | - R C Shi
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - X T Yang
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - D Jin
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - D Su
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - Y J Liu
- Department of Hepatology, Hunan Provinces Directly Affiliated Traditional Chinese Medicine Hospital, Zhuzhou 412000, China
| | - Y Chen
- Department of Hepatology, Hunan Provinces Directly Affiliated Traditional Chinese Medicine Hospital, Zhuzhou 412000, China
| | - Y X Xia
- Department of Hepatology, Hunan Provinces Directly Affiliated Traditional Chinese Medicine Hospital, Zhuzhou 412000, China
| | - Y Z Li
- Department of Infectious Diseases, the First People's Hospital, Huaihua City, Huaihua 418000, China
| | - Q H Yang
- Department of Infectious Diseases, the First People's Hospital, Huaihua City, Huaihua 418000, China
| | - H Li
- Department of Infectious Diseases, the First People's Hospital, Huaihua City, Huaihua 418000, China
| | - X L Zhao
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - Z M Tian
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - H J Yu
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - X J Zhang
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - C X Wu
- Liver Disease Diagnosis and Treatment Center, the Fourth People's Hospital of Yiyang City, Yiyang 413000, China
| | - Z J Wu
- Liver Disease Diagnosis and Treatment Center, the Fourth People's Hospital of Yiyang City, Yiyang 413000, China
| | - S S Li
- Liver Disease Diagnosis and Treatment Center, the Fourth People's Hospital of Yiyang City, Yiyang 413000, China
| | - Q Shen
- Department of Gastroenterology, Yinchuan Second People's Hospital, Yinchuan 750000, China
| | - X M Liu
- Department of Gastroenterology, Yinchuan Second People's Hospital, Yinchuan 750000, China
| | - J P Hu
- Department of Gastroenterology, Yinchuan First People's Hospital, Yinchuan 750000, China
| | - M Q Wu
- Department of Gastroenterology, Yinchuan First People's Hospital, Yinchuan 750000, China
| | - T Dang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - J Wang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - X M Meng
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - H Y Wang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - Z Y Jiang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - Y Y Liu
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - Y Liu
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - S X Qu
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - H Tao
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - D M Yan
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - J Liu
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - W Fu
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - J Yu
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - F S Wang
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - X L Qi
- The First School of Clinical Medicine of Lanzhou University, Lanzhou 730000, China Department of Radiology, Affiliated Zhongda Hospital, Southeast University, Nanjing 210000, China
| | - J L Fu
- Medical School of Chinese PLA, Beijing 100853, China Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
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Jin D, Mccurry M, Friskey J, Lisowski J, Diamond J, Anderson M, Crespo M, Courtwright A, Cevasco M, Bermudez C, Gallop R, Hsu Y, Christie J, Schaubel D, Cantu E. Transplanting Candidates with Stacked Risks Negatively Affects Outcomes. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1619] [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: 04/05/2023] Open
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7
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Zhao Q, Sun X, Liu K, Peng Y, Jin D, Shen W, Wang R. Correlation between capsule endoscopy classification and CT lymphangiography of primary intestinal lymphangiectasia. Clin Radiol 2023; 78:219-226. [PMID: 36509551 DOI: 10.1016/j.crad.2022.10.001] [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: 03/15/2022] [Revised: 09/21/2022] [Accepted: 10/05/2022] [Indexed: 12/13/2022]
Abstract
AIM To investigate the correlation between capsule endoscopy (CE) classification of primary intestinal lymphangiectasia (PIL) and computed tomography (CT) lymphangiography (CTL). MATERIALS AND METHODS A total of 52 patients with diagnosed PIL were enrolled. All patients were examined using CTL and small intestinal CE before surgery. CE assessments included the morphology, scope, colour, and size of lesions. CTL assessments included intestinal wall, lymphatic vessel dilatation, lymph fluid reflux, and lymphatic fistula. Patients were divided into three groups according to type diagnosed by CE, and the CTL characteristics were analysed among the groups. RESULTS CE showed 15 patients with type I, 27 with II, and 10 with type III. Intestinal wall thickening was observed in 15 type I, 21 type II, and seven type III. Pericardial effusion was observed in only three type I patients; the difference among types was statistically significant (p=0.02). Abnormal contrast agent distribution in the intestinal wall and mesentery was observed in 15 type II patients, and the difference was significantly greater than that of types I and III (p=0.02). Abnormal contrast agent distribution in the abdominal cavity was observed in 12 type II, and the difference was statistically significant (p=0.03). CONCLUSION The CE PIL classification reflects the extent and scope of intestinal mucosa lesions; CTL more systematically demonstrates abnormal lymphatic vessels or reflux, and its manifestations of PIL are related to the CE classification. The combination of CTL with CE is useful for accurately evaluating PIL, and provides guidance for preoperative assessment and treatment management of PIL patients.
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Affiliation(s)
- Q Zhao
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - X Sun
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - K Liu
- Department of Gastroenterology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Y Peng
- Beijing Jiaotong University, China
| | - D Jin
- Peking University Third Hospital, China
| | - W Shen
- Department of Lymph Surgery, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - R Wang
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
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Jin D, Liu X, Zhang F, Wen Z. Entrepreneurial role models and college students' entrepreneurial calling: A moderated mediation model. Front Psychol 2023; 14:1129495. [PMID: 36910781 PMCID: PMC9992817 DOI: 10.3389/fpsyg.2023.1129495] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/02/2023] [Indexed: 02/24/2023] Open
Abstract
Introduction College entrepreneurship education should not only cultivate a group of college students who have strong willingness to start a business immediately after graduation, but also pay attention to future entrepreneurship success of college students. Correspondingly, in addition to attaching importance to improving college students' entrepreneurial intention, college entrepreneurship education should pay attention to improving college students' entrepreneurial calling. At present, there is insufficient research on the association between entrepreneurial role models and entrepreneurial calling. We aim to study the mechanism and boundary condition of the association between entrepreneurial role models and entrepreneurial calling. Methods A longitudinal survey was distributed among 519 students from 16 colleges and universities in China. In the survey, the college students answered questions on entrepreneurial role models, entrepreneurial calling, entrepreneurial perceived behavioral control and entrepreneurial hands-on practice. Hierarchical regression was conducted, testing the association between entrepreneurial role models and entrepreneurial calling of college students, mediated by entrepreneurial perceived behavioral control and moderated by entrepreneurial hands-on practice. Results Therefore, based on the social learning theory, the theory of planned behavior and the entrepreneurial event model, and by hierarchical regression of the data, this study confirmed that entrepreneurial role models were positively associated with college students' entrepreneurial calling by partially mediating with entrepreneurial perceived behavioral control. Moreover, Entrepreneurial hands-on practice positively moderated not only the relationship between entrepreneurial perceived behavioral control and entrepreneurial calling, but also the mediating association of entrepreneurial perceived behavioral control between entrepreneurial role models and entrepreneurial calling. Discussion This study not only enriches the theoretical research on entrepreneurial calling and entrepreneurial role models, but also provides valuable educational enlightenment for colleges and universities to improve the students' entrepreneurial calling.
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Affiliation(s)
- Dongmei Jin
- Business School, Beijing Technology and Business University, Beijing, China
| | - Xiaomeng Liu
- Business School, Beijing Technology and Business University, Beijing, China
| | - Fuqin Zhang
- Business School, Beijing Technology and Business University, Beijing, China
| | - Zhiyi Wen
- Personnel Testing Authorities, Ministry of Human Resources and Social Security of the PRC, Beijing, China
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Wang S, Niu Z, Jin D, He J, Mu Y, Ye G. Effect of Reactivity of Hydrated Portland Cement on Hydrothermal Synthesis of Xonotlite. Materials (Basel) 2023; 16:1578. [PMID: 36837208 PMCID: PMC9967205 DOI: 10.3390/ma16041578] [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: 01/08/2023] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Significant interest in waste-cement recycling has been stimulated because of the high contents of calcium and silicon in waste cement. The reactivity of calcium and silicon in the raw material is one of the important factors for the hydrothermal synthesis of xonotlite. Therefore, the effect of the reactivity of calcium and silicon in the waste cement on the hydrothermal synthesis of xonotlite was studied in this paper. Portland cement that was hydrated for 6 months, with the aim of simulating the waste cement, was used for the first time as the calcium and silicon source in the hydrothermal synthesis of xonotlite. As calcination would raise the reactivity of the hydrated cement, the effect of calcination of the Portland hydrated cement on the hydrothermal synthesis of xonotlite was investigated. The hydrated cement was calcined at 900 °C, and the hydrothermal synthesis was carried out at 220 °C for different times. The phases of the hydrothermal products were analyzed by XRD and TG-DSC, and it was noted that the calcination of hydrated cement affected the formation rate of xonotlite. The content of xonotlite increased from 18% (synthesized with hydrated cement without calcination) to 74% (synthesized from hydrated cement with calcination at 900 °C) during a reaction time of 24 h. Furthermore, the micromorphologies of xonotlite using calcined and hydrated cement were compared and discussed from the perspective of the reactivity of the starting materials.
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Affiliation(s)
- Saixin Wang
- Henan Key Laboratory of High Temperature Functional Ceramics, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Zheng Niu
- Henan Key Laboratory of High Temperature Functional Ceramics, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Dongmei Jin
- Luoyang Sanhe New Material Technology Co., Ltd., Luoyang 471900, China
| | - Jian He
- Jiangsu Jingxin New Material Co., Ltd., Yangzhou 225000, China
| | - Yuandong Mu
- Henan Key Laboratory of High Temperature Functional Ceramics, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Guotian Ye
- Henan Key Laboratory of High Temperature Functional Ceramics, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
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Ge J, Guo D, Ye X, Song Y, Hua X, Lu L, Lin C, Jin D, Ho T. Dosimetry Validation Study for Automated Head and Neck Cancer Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2255] [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: 10/31/2022]
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11
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Ye X, Guo D, Liu J, Ge J, Yu H, Wang F, LU Z, Sun X, Yuan S, Zhao L, Jin X, Li J, He C, Zhang Q, Meng Y, Yang X, Liang J, Liu R, Ding S, Zhao J, Li Z, Zhong W, Zhu B, Zhou S, Yuan T, Yan L, Hua X, Lu L, Yan S, Jin D, Kong S. AI Model of Using Stratified Deep Learning to Delineate the Organs at Risk (OARs) for Thoracic Radiation Therapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.952] [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: 10/31/2022]
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12
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Ge J, Ye X, Guo D, Song Y, Hua X, Lu L, Lin C, Jin D, Ho T. Evaluation of Intra-Observer Variation for Deep Learning Generated Head and Neck Organs at Risk Segmentation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1739] [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: 11/25/2022]
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13
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Zhao Q, Jin D, Yuan H. Correlation between glenoid bone structure and recurrent anterior dislocation of the shoulder joint. Folia Morphol (Warsz) 2022; 82:712-720. [PMID: 35818805 DOI: 10.5603/fm.a2022.0067] [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] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/30/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The aim of the study was to investigate the anatomical characteristics and symmetry of the bilateral glenoid structures of Chinese people and to explore the relationship between the glenoid bone structure and recurrent anterior dislocation. MATERIALS AND METHODS The control group included 131 individuals with no history of shoulder dislocation. The dislocation group consisted of 131 patients with a history of unilateral shoulder dislocation. All subjects underwent computed tomography scans. Glenoid shape (pear-shaped, inverted comma-shaped, oval-shaped), width, height, depth, version angle, area, maximum fitting circle area and volume were measured. RESULTS There was no significant difference in normal bilateral glenoid of Chinese people (p > 0.05). There were statistically significant differences in depth, height to width ratio, maximum fitting circle area and shape between the dislocation and control groups (p < 0.05). Regression analyses showed that the glenoid depth (odds ratio [OR] 0.48; p < 0.01), the glenoid height to width ratio (OR 28.61; p < 0.01), the glenoid maximum fitting circle area (OR 1.01; p < 0.01) and the glenoid shape (p <0.05; pear-shaped OR 0.432; inverted comma-shaped OR 0.954) were associated with anterior shoulder instability. Pear-shaped and inverted comma-shaped glenoid had lower risk of recurrent anterior shoulder dislocation compared to oval glenoid. Receiver operating characteristic curve analysis showed that individuals with anterior shoulder instability had smaller glenoid depth and larger height to width ratio and the glenoid maximum fitting circle area compared with the control group. CONCLUSIONS The normal bilateral glenoids of Chinese people are basically symmetrical. The glenoid shape, depth, height to width ratio and maximum fitting circle area are risk factors for recurrent anterior shoulder dislocation. Evaluation of the glenoid bone structure enables more accurate prediction of the risk of recurrent shoulder dislocation.
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Affiliation(s)
- Q Zhao
- Department of Radiology, Peking University Third Hospital, China.
| | - D Jin
- Department of Radiology, Peking University Third Hospital, China
| | - H Yuan
- Department of Radiology, Peking University Third Hospital, China
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14
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Guo Q, Wang R, Jin D, Yin Z, Hu B, Li R, Wu D. Comparison of adjuvant chemoradiotherapy versus radiotherapy in early-stage cervical cancer patients with intermediate-risk factors: A systematic review and meta-analysis. Taiwan J Obstet Gynecol 2022; 61:15-23. [PMID: 35181028 DOI: 10.1016/j.tjog.2021.11.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2021] [Indexed: 11/25/2022] Open
Abstract
The presence of intermediate risk factors reduces the predictability of radical hysterectomy, demanding the use of adjuvant therapy for treatment of Early stage cervical cancer (ESCC) patients. Adjuvant radiotherapy (RT) and chemoradiotherapy (CRT) has been widely used with varied efficacy and safety issues. Therefore, the aim of this systematic review and meta-analysis was to update the available evidence and assess the effect of post-surgical adjuvant RT versus adjuvant CRT on survival rate and complications/toxicities in management of ESCC patients with intermediate risk factors. PubMed, EMBASE and Web of Science (WOS) and CENTRAL were searched using a combination of relevant keywords. All studies comparing outcomes of adjuvant RT versus CRT in ESCC patients with intermediate-risk factors in terms of recurrence free survival (RFS), overall survival (OS) and toxicities/complications were included. Both qualitative and quantitative analysis was carried out. The risk of bias assessment was done using Newcastle-Ottawa scale (NOS) for retrospective cohort studies and Cochrane risk of bias assessment tool was used for randomized clinical trials. Eleven retrospective cohort studies and two randomized clinical trials were included in this review. Adjuvant CRT was found to have better RFS with ESCC patients with multiple intermediate risk factors with OR 3.11 95% CI [1.04, 4.99], p < 0.0001; i2 = 6%. However, similar benefit was observed between both regimens in presence of a single intermediate risk factor OR 1.80 95% CI [0.96, 3.36], p = 0.07; i2 = 0%. Grade 3 or 4 haematological toxicity among patients receiving post-surgical adjuvant RT versus adjuvant CRT showed increased association of toxicity with adjuvant CRT with OR 7.73 95%CI [3.40, 17.59], p < 0.0001; i2 = 62%. Adjuvant CRT shows favourable RFS and OS in ESCC patients with multiple intermediate risk factors. CRT also showed greater incidence of grade 3 or 4 haematological and non-haematiological toxicity, however, the same could be well tolerated when used within the recommended dosage.
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Affiliation(s)
- Qingmin Guo
- Department of Gynaecology, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China.
| | - Rui Wang
- Department of Reproductive Center, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China
| | - Dongmei Jin
- Department of Gynaecology, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China
| | - Zhengfang Yin
- Department of Gynaecology, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China
| | - Bao Hu
- Department of Gynaecology, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China
| | - Ruifeng Li
- Department of Gynaecology, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China
| | - Dongyue Wu
- Department of Gynaecology, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China
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Rowe S, Lees C, Lee J, Eaves S, Paleri S, Jin D, Rayner C, Hayat U, Adams H. Is Pacing Always Permanent Following TAVI? A Single-Centre Experience. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.173] [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: 11/25/2022]
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16
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Morgan J, Jin D, Dwyer N. Infective Endocarditis in the Tasmanian Population. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.345] [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: 10/16/2022]
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17
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Morgan J, Jin D, Dwyer N. Surgical Management of IE Patients Within the Tasmanian Population. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.418] [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: 11/26/2022]
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18
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Xia C, Chu Z, Jin D, Xiao Y, Ma W, Cheng M. Sinomenine Suppresses Cell Progression and Induces Cell Apoptosis by Regulating AKT/mTOR Signaling Pathway in Cutaneous Squamous Cell Carcinoma Cells. CURR TOP NUTRACEUT R 2021. [DOI: 10.37290/ctnr2641-452x.20:393-399] [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] [Indexed: 11/24/2022]
Abstract
While sinomenine plays a crucial anticancer role in a variety of cancers, its function and molecular mechanism in cutaneous squamous cell carcinoma remains unexplored. To this end, we explored the effect of sinomenine on cell viability, colony formation rate, cell apoptosis rate, and migration and invasion and wound healing in A431 and SCL-1 cells representing cutaneous squamous cell carcinoma. The results show that sinomenine inhibited cutaneous squamous cell carcinoma viability, clone formation, migration and invasion, induced cell apoptosis by inactivating AKT/mTOR pathway. These data may likely to provide a novel candidate for treating patients diagnosed with cutaneous squamous cell carcinoma.
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Affiliation(s)
- Chen Xia
- Department of Pathology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province 430060, China
| | - Zhigang Chu
- Department of Burn, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province 430060, China and
| | - Dongmei Jin
- Department of Pathology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province 430060, China
| | - Yan Xiao
- Department of Pathology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province 430060, China
| | - Wen Ma
- Department of Pathology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province 430060, China
| | - Maojie Cheng
- Department of Dermatology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400011, China
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19
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Ho T, Guo D, Jin D, Zhu Z, Hung T, Xiao J, Lu L, Lin C. Comprehensive Head and Neck Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1093] [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: 11/29/2022]
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20
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Zhu Z, Ho T, Jin D, Yan K, Ye X, Guo D, Xiao J, Lu L, Hung T, Pai P, Tseng C. Deep Learning Based Lymph Node Gross Tumor Volume Detection via Distance-Guided Gating Using CT and 18F-FDG PET in Esophageal Cancer Radiotherapy. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.464] [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: 11/29/2022]
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21
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Vanderwalde A, Lu M, Maund S, Huntley M, Incerti D, Fine A, Tolba K, Jin D, Bourla A, Sondhi A, Tromanhauser M, Daniel D, Tilford J, Mcfarlane J, Lakhanpal S, Oxnard G, Schulze K. P10.14 ctDNA and Real-World Response (rwR) in Patients With Lung Cancer From A Prospective Real-World Clinico-Genomic (PCG) Study. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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22
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Jin D, Li H, Fu J, Liu Y. [Early-onset ornithine transcarbamylase deficiency in a pedigree]. Zhonghua Er Ke Za Zhi 2021; 59:602-604. [PMID: 34405645 DOI: 10.3760/cma.j.cn112140-20210119-00060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- D Jin
- Department of Neonatology, First Hospital of Jilin University, Changchun 130021, China
| | - H Li
- Department of Neonatology, First Hospital of Jilin University, Changchun 130021, China
| | - J Fu
- Department of Neonatology, First Hospital of Jilin University, Changchun 130021, China
| | - Y Liu
- Department of Neonatology, First Hospital of Jilin University, Changchun 130021, China
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Wang YQ, Wang R, Shi D, Lu K, Jin D, Xu L, Fan GH, Shen JK, Gong JP, Qian MH. [Primary malignant peripheral nerve sheath tumor in left orbit: a case report]. Zhonghua Zhong Liu Za Zhi 2021; 43:509-510. [PMID: 33902216 DOI: 10.3760/cma.j.cn112152-20200428-00386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y Q Wang
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - R Wang
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - D Shi
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - K Lu
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - D Jin
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - L Xu
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - G H Fan
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - J K Shen
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - J P Gong
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - M H Qian
- Department of Radiology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
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Cho A, Tomihama R, Chen R, Cooper K, Malit A, Jin D, Fujimoto S, Kassir M, Smith J. Abstract No. 135 Point-of-care ultrasound (POCUS) versus conventional ultrasound imaging quality. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.141] [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: 10/21/2022] Open
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Liang F, Xi J, Chen X, Huang J, Jin D, Zhu X. Curcumin decreases dibutyl phthalate-induced renal dysfunction in Kunming mice via inhibiting oxidative stress and apoptosis. Hum Exp Toxicol 2021; 40:1528-1536. [DOI: 10.1177/09603271211001124] [Citation(s) in RCA: 2] [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] [Indexed: 01/13/2023]
Abstract
Curcumin (Cur) has been used extensively in dietary supplement with antioxidant and anti-apoptotic properties. Although dibutyl phthalate (DBP) has adverse effects on the kidney, any association between DBP exposure and the role of Cur is unclear. We tested the hypothesis that exposure to DBP has adverse consequences on renal dysfunction in mice and the potential protective role of Cur in decreasing DBP-induced renal dysfunction via inhibiting oxidative stress and apoptosis. Kidney function, oxidative stress biomarkers, and apoptosis factors as well as Bcl-2 and Bax were investigated. The results showed a marked increase of renal dysfunction, oxidative stress and apoptosis level after DBP exposure compared to the control. While administration of Cur to DBP-treated mice may reduce these adverse biochemical changes compared with DBP-alone group. Overall, these results suggest that oxidative stress and apoptosis are involved in DBP-induced renal disorder, whereas Cur plays a protective role in inhibiting these two pathways.
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Affiliation(s)
- F Liang
- These authors contributed equally to this work
| | - J Xi
- These authors contributed equally to this work
| | - X Chen
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, People’s Republic of China
| | - J Huang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, People’s Republic of China
| | - D Jin
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, People’s Republic of China
| | - X Zhu
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, People’s Republic of China
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Zheng Y, Jin D, Guan Y, Özgüroğlu M, Trukhin D, Poltoratskiy A, Chen Y, Havel L, Hochmair M, Paz-Ares L, Jiang H, Armstrong J, Chen C, Liu Y, Roskos L. P48.21 Population Pharmacokinetics and Exposure-Response with Durvalumab Plus Platinum-Etoposide in ES-SCLC: Results from CASPIAN. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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27
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Getty N, Brettin T, Jin D, Stevens R, Xia F. Deep medical image analysis with representation learning and neuromorphic computing. Interface Focus 2021; 11:20190122. [PMID: 33343872 DOI: 10.1098/rsfs.2019.0122] [Citation(s) in RCA: 3] [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] [Accepted: 09/23/2020] [Indexed: 11/12/2022] Open
Abstract
Deep learning is increasingly used in medical imaging, improving many steps of the processing chain, from acquisition to segmentation and anomaly detection to outcome prediction. Yet significant challenges remain: (i) image-based diagnosis depends on the spatial relationships between local patterns, something convolution and pooling often do not capture adequately; (ii) data augmentation, the de facto method for learning three-dimensional pose invariance, requires exponentially many points to achieve robust improvement; (iii) labelled medical images are much less abundant than unlabelled ones, especially for heterogeneous pathological cases; and (iv) scanning technologies such as magnetic resonance imaging can be slow and costly, generally without online learning abilities to focus on regions of clinical interest. To address these challenges, novel algorithmic and hardware approaches are needed for deep learning to reach its full potential in medical imaging.
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Affiliation(s)
- N Getty
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA.,Computer Science Department, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - T Brettin
- Computing, Environment and Life Sciences Directorate, Argonne National Laboratory, Lemont, IL 60439, USA
| | - D Jin
- Computer Science Department, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - R Stevens
- Computing, Environment and Life Sciences Directorate, Argonne National Laboratory, Lemont, IL 60439, USA.,Department of Computer Science, University of Chicago, Chicago, IL 60637, USA
| | - F Xia
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
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Nguyen J, Baradi A, Reid D, Jin D, Navani R, Huang K, Ellis Z, Santamaria J, Newcomb A, Darby J, Wilson A. Characteristics, Outcomes and Prognostic Factors of Infective Endocarditis in the Intensive Care Unit. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.266] [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: 10/20/2022]
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Huang Y, Wu Y, Jin D, Tang Q, Yuan P, Lu Q. Development and Validation of a Nomogram for Preoperative Prediction of Localization of Neonatal Gastrointestinal Perforation. Front Pediatr 2021; 9:754623. [PMID: 34796155 PMCID: PMC8593177 DOI: 10.3389/fped.2021.754623] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/06/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Information regarding the localization of gastrointestinal perforation is crucial for the following surgical procedure. This study was to determine the key indicators and develop a prediction model for the localization in neonates with gastrointestinal perforation. Methods: A nomogram to predict the location of neonatal gastrointestinal perforation was developed using a cohort of patients who underwent surgery between July 2009 and May 2021. Baseline variables were analyzed using logistics regression and nomogram developed using significant predictors. The predictive performance of the nomogram was assessed by the concordance index (C-index), calibration curve, and area under the receiver operating characteristic (ROC) curve (AUC). The nomogram was further validated in an integrated external cohort. Results: We investigated the data of 201 patients, of which 65 (32.3%) were confirmed with upper gastrointestinal perforation by surgery. Multivariate logistic regression analysis identified the following as independent predictors: preterm [OR: 5.014 (1.492-18.922)], time of onset [OR: 0.705 (0.582-0.829)], preoperative hemoglobin [OR:1.017 (1.001-1.033)], bloody stool: No [OR: 4.860 (1.270-23.588)], shock [OR: 5.790 (1.683-22.455)] and sepsis: No [OR 3.044 (1.124-8.581)]. Furthermore, the nomogram was effective in predicting the perforation site, with an AUC of 0.876 [95% confidence interval (CI): 0.830-0.923]. Internal validation showed that the average AUC was 0.861. Additionally, the model achieved satisfactory discrimination (AUC, 0.900; 95% CI, 0.826-0.974) and calibration (Hosmer-Lemeshow test, P = 0.4802) in external validation. Conclusions: The nomogram based on the six factors revealed good discrimination and calibration, suggesting good clinical utility. The nomogram could help surgeons predict the location of gastrointestinal perforation before surgery to make a surgical plan.
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Affiliation(s)
- Yao Huang
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Yuhua Wu
- Department of Neonatology, The General Hospital of Ningxia Medical University, Ningxia, China
| | - Dongmei Jin
- Department of Neonatology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qing Tang
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Peng Yuan
- Department of Neonatal Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Lu
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
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Jin D, Lees C, MacIntyre P, Dwyer N, Hayat U, Adams H. The Tasmanian TAVI Service: Initial Experience and Outcomes. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.509] [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: 11/16/2022]
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31
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Vasan N, Sivakumar S, Jin D, Ross J, Cantley L, Scaltriti M, Sokol E. 1954P A pan-cancer analysis of double PIK3CA mutations. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1346] [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: 11/15/2022] Open
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Hu Y, Jin D, Zhou Y, Cheng Y, Cao H, Ma Y, Zhang W. Multiple roles of THY1 in gastric cancer based on data mining. Transl Cancer Res 2020; 9:2748-2757. [PMID: 35117633 PMCID: PMC8798632 DOI: 10.21037/tcr.2020.02.51] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 02/04/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND THY1 (CD90) is a heavily N-glycosylated, glycophosphatidylinositol (GPI) anchored cell surface protein, which has been implicated in several cancers. But, the specific mechanism and function of the THY1 gene remains unclear in gastric cancer (GC). METHODS To investigate the function of THY1 in GC and illustrate the potential mechanism, TCGA and FIREBROWSE were used to detect the THY1expression. GEPIA2 and Kaplan-Meier Plotter showed significant correlation among THY1 mRNA level, TNM stage and survival probability of GC patients. RESULTS THY1 was up-regulated apparently in GC in contrast to normal tissues and linked to TNM stage. GC patients with higher THY1 expression displayed lower overall survival (OS), first progression (FP) and post-progression survival (PPS). In vitro experiments showed that knockdown of THY1 suppressed proliferation, migration while increased autophagy level in GC cells. Immune factors may interact with THY1mRNA in GC and THY1 was found significantly linked with Tregs. CONCLUSIONS Our findings indicate that higher THY1 level is link to poor prognosis of GC patients. THY1may as well be used as a marker molecule for evaluating the tumor microenvironment status of GC patients and a target for immunotherapy.
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Affiliation(s)
- Yun Hu
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
- Department of General Surgery, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 2310442, China
| | - Dongmei Jin
- Department of Respiratory Medicine, Lianyungang Oriental Hospital, Lianyungang 222042, China
| | - Yichan Zhou
- Department of Geriatrics Gastroenterology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Ye Cheng
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Hongyong Cao
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Yong Ma
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Wenling Zhang
- Department of Gastroenterology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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Shi D, Jin D, Cai W, Zhu Q, Dou X, Fan G, Shen J, Xu L. Serial low-dose quantitative CT perfusion for the evaluation of delayed cerebral ischaemia following aneurysmal subarachnoid haemorrhage. Clin Radiol 2020; 75:131-139. [DOI: 10.1016/j.crad.2019.10.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 10/03/2019] [Indexed: 10/25/2022]
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Shrestha A, Jin D, Ha F, Paleri S, Lu P, MacIsaac A, Whitbourn R, Palmer S. 056 ProGlide Mediated Closure of Transcatheter Aortic Valve Implantation access site is Associated With Lower Vascular Complications Compared to Prostar. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.063] [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: 11/24/2022]
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35
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Shrestha A, Cocco A, Ha F, Lu P, Jin D, Lee J, Sutherland T, MacIsaac A, Whitbourn R, Palmer S. 465 Computed Tomography (CT) Assessed Sarcopenia Predicts Mortality and Morbidity in Patients Undergoing Transcatheter Aortic Valve Implantation (TAVI). Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.472] [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: 11/24/2022]
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Sherwen A, Palmer S, Palmer J, Jin D. 849 Left Ventricular Rapid Pacing Via the Valve Delivery Guidewire in Transcatheter Aortic Valve Replacement (TAVR) – A Description of Recent Experience. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.856] [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: 11/24/2022]
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Yin WJ, Tao RX, Zhang Y, Jiang XM, Jin D, Yao MN, Yu WQ, Zhu P. [Trends analysis of vitamin D status among pregnant women in Hefei during 2015-2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2019; 53:947-950. [PMID: 31474080 DOI: 10.3760/cma.j.issn.0253-9624.2019.09.016] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
From March 2015 to February 2018, 4 728 women aged 18 to 45 years old with single-pregnancy at the gestational age of 13 to 27 weeks in Hefei were recruited to analyze the trend of vitamin D status. The average levels of serum 25(OH)D in 2015, 2016 and 2017 were (43.22±18.41) nmol/L, (39.3±15.1) nmol/L and (36.6±17.0) nmol/L, and the prevalence of vitamin D deficiency were 69.5%, 77.6% and 81.4%, respectively. Compared with 2015, the levels of serum 25(OH)D in pregnant women in 2016 and 2017 decreased by 5.23 (95%CI: 4.10-6.35) nmol/L and 7.98 (95%CI: 6.77-9.19) nmol/L. The OR (95%CI) values for the risk of vitamin D deficiency were 1.88 (95%CI: 1.57-2.24) and 2.41 (95%CI: 1.98-2.93).
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Affiliation(s)
- W J Yin
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - R X Tao
- Department of Obstetrics and Gynecology, the First People's Hospital of Hefei City, Hefei 230001, China
| | - Y Zhang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - X M Jiang
- Department of Obstetrics and Gynecology, Anhui Women and Child Health Care Hospital, Hefei 230001, China
| | - D Jin
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - M N Yao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - W Q Yu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - P Zhu
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei 230032, China
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Lee SJ, Jin D, Kang SH, Gaebler-Spira D, Zhang LQ. Combined Ankle/Knee Stretching and Pivoting Stepping Training for Children With Cerebral Palsy. IEEE Trans Neural Syst Rehabil Eng 2019; 27:1743-1752. [PMID: 31403432 DOI: 10.1109/tnsre.2019.2934139] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Although various treatment methods have been investigated to reduce spasticity and intoeing gait in children with cerebral palsy (CP), methods to concurrently reduce an intoeing gait and associated ankle/knee stiffness and spasticity according to a child's specific needs are lacking. This study aimed to develop a training program to improve walking function and transverse-plane (pivoting) neuromuscular control and reduce spasticity and intoeing gait deviations. Eight children with diplegic CP and intoeing gait participated in this 6-week combined robotic ankle and/or knee intelligent stretching and pivoting neuromuscular control training program (Subject-specific Stretching and Pivoting Off-axis Neuromuscular control Training, [SS-POINT]). The effects of SS-POINT were evaluated using neuromechanical, functional, and clinical outcome measures and compared to those for eight children with CP and intoeing gait who participated in pivoting neuromuscular control training (POINT) alone in a previous study. RESULTS After the SS-POINT program, subjects with CP showed reduced knee stiffness and intoeing angle, and improvements in both joint and leg functions in terms of ankle and knee active range of motion, ankle dorsiflexor strength, proprioception, walking speed, balance, and minimum pivoting angle. Furthermore, improvements in proprioceptive acuity and minimum pivoting angle after the SS-POINT were greater than those after the POINT. CONCLUSION The SS-POINT approach can be used as a subject-specific training program for improving leg and walking functions and reducing intoeing during gait. SIGNIFICANCE This approach can serve as an individualized intervention at the joint and walking levels to maximize intervention effects by adjusting training targets, sequences, and intensities to meet the individual needs of children with CP.
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Wu YT, Ma Q, Tang BF, Liu FM, Jin D, Wang L, Gai XC, Zhang HB. [Phosphatase and tensin homolog deleted on chromosome ten deficiency sensitizes tumor cells to lithium chloride treatment]. Zhonghua Yi Xue Za Zhi 2019; 99:2362-2366. [PMID: 31434417 DOI: 10.3760/cma.j.issn.0376-2491.2019.30.008] [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 identify the therapeutic efficacy of lithium chloride (LiCl) on phosphatase and tensin homolog deleted on chromosome ten (PTEN)-deficient tumors. Methods: First, the Catalogue of Somatic Mutations in Cancer for mutation spectrum of human endometrial carcinoma samples was analyzed. Second, the relationship between PTEN abundance and LiCl inhibition of endometrial cancer cell lines using Pten(+/+) and Pten(-/-) mouse embryonic fibroblast (MEF) lines was investigated. Moreover, potential alterations of mammalian target of rapamycin (mTOR) signaling pathway after treatment with LiCl were checked.Last,LiCl's efficacy on PTEN null tumors was studied. Results: PTEN was mutated in 39% of endometrial carcinomas. LiCl preferentially inhibited the proliferation of PTEN-deficient endometrial carcinoma cells and MEFs. Furthermore, LiCl blocked PTEN-deficient tumor development. Mechanistically, LiCl down-regulated mTOR signaling. Conclusions: PTEN is the most frequently mutated gene in endometrial carcinoma.By targeting mTOR signaling pathway,LiCl is a promising regimen for the treatment of tumors with PTEN deficiency.
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Affiliation(s)
- Y T Wu
- Department of Physiology, Institute of Basic Medical Sciences and School of Basic Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100005, China
| | - Q Ma
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian 116011, China
| | - B F Tang
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - F M Liu
- Department of Physiology, Institute of Basic Medical Sciences and School of Basic Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100005, China
| | - D Jin
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian 116011, China
| | - L Wang
- Department of Oncology, First Affiliated Hospital, Dalian Medical University, Dalian 116011, China
| | - X C Gai
- Department of Physiology, Institute of Basic Medical Sciences and School of Basic Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100005, China
| | - H B Zhang
- Department of Physiology, Institute of Basic Medical Sciences and School of Basic Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100005, China
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Yao MN, Tao RX, Hu HL, Zhang Y, Yin WJ, Jin D, Liu Y, Tao FB, Zhu P. [Prospective cohort study on association between peri-conceptional air pollution exposure and gestational diabetes mellitus]. Zhonghua Yu Fang Yi Xue Za Zhi 2019; 53:817-823. [PMID: 31378042 DOI: 10.3760/cma.j.issn.0253-9624.2019.08.004] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the association between the exposure to major air pollutants in pre-pregnancy and early pregnancy (peri-conceptional period) and gestational diabetes mellitus (GDM). Methods: From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check-ups hospital in Hefei (Hefei First People's Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM(2.5), PM(10), SO(2), CO and NO(2)) during different periods of pre-pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results: The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high-concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre-pregnancy (χ(2)=61.28, P(trend)<0.001) with the OR (95%CI) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre-pregnancy period, in every 10 μg/m(3) increase of PM(2.5) and PM(10), the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively; for each increase of 1 μg/m(3) and 0.10 mg/m(3) of SO(2) and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m(3) increase in the average concentration of SO(2) in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion: PM(2.5), PM(10), SO(2) and CO exposure during the pre-pregnancy and SO(2) exposure in first trimester were positively correlated with the risk of GDM.
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Affiliation(s)
- M N Yao
- Department of Maternal, Child&Adolescent Health, School of Public Health/Anhui Provincial Laboratory of Population Health and Eugenics, Anhui Medical University, Hefei 230032, China
| | - R X Tao
- Department of Gynecology and Obstetrics, Hefei First People's Hospital, Hefei 230031, China
| | - H L Hu
- Department of Endocrinology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Y Zhang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - W J Yin
- Department of Maternal, Child&Adolescent Health, School of Public Health/Anhui Provincial Laboratory of Population Health and Eugenics, Anhui Medical University, Hefei 230032, China
| | - D Jin
- Department of Maternal, Child&Adolescent Health, School of Public Health/Anhui Provincial Laboratory of Population Health and Eugenics, Anhui Medical University, Hefei 230032, China
| | - Y Liu
- Department of Maternal, Child&Adolescent Health, School of Public Health/Anhui Provincial Laboratory of Population Health and Eugenics, Anhui Medical University, Hefei 230032, China
| | - F B Tao
- Department of Maternal, Child&Adolescent Health, School of Public Health/Anhui Provincial Laboratory of Population Health and Eugenics, Anhui Medical University, Hefei 230032, China
| | - P Zhu
- Department of Maternal, Child&Adolescent Health, School of Public Health/Anhui Provincial Laboratory of Population Health and Eugenics, Anhui Medical University, Hefei 230032, China
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Schrock AB, Ouyang C, Sandhu J, Sokol E, Jin D, Ross JS, Miller VA, Lim D, Amanam I, Chao J, Catenacci D, Cho M, Braiteh F, Klempner SJ, Ali SM, Fakih M. Tumor mutational burden is predictive of response to immune checkpoint inhibitors in MSI-high metastatic colorectal cancer. Ann Oncol 2019; 30:1096-1103. [PMID: 31038663 DOI: 10.1093/annonc/mdz134] [Citation(s) in RCA: 382] [Impact Index Per Article: 76.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Microsatellite instability (MSI) is a biomarker for response to immune checkpoint inhibitors (ICPIs). PD-1 inhibitors in metastatic colorectal carcinoma (mCRC) with MSI-high (MSI-H) have demonstrated a high disease control rate and favorable progression-free survival (PFS); however, reported response rates to pembrolizumab and nivolumab are variable and often <50%, suggesting that additional predictive biomarkers are needed. METHODS Clinicopathologic data were collected from patients with MSI-H mCRC confirmed by hybrid capture-based next-generation sequencing (NGS) treated with PD-1/L1 inhibitors at five institutes. Tumor mutational burden (TMB) was determined on 0.8-1.1 Mb of sequenced DNA and reported as mutations/Mb. Potential biomarkers of response and time to progression were analyzed by univariate and multivariate analyses. Once TMB was confirmed as a predictive biomarker, a larger dataset of 18 140 unique CRC patients was analyzed to define the relevance of the identified TMB cut-point. RESULTS A total of 22 patients were treated with PD-1/L1 inhibitors including 19 with pembrolizumab monotherapy. Among tested variables, TMB showed the strongest association with objective response (OR; P < 0.001) and PFS, by univariate (P < 0.001) and multivariate analysis (P < 0.01). Using log-rank statistics, the optimal predictive cut-point for TMB was estimated between 37 and 41 mutations/Mb. All 13 TMBhigh cases responded, while 6/9 TMBlow cases had progressive disease. The median PFS for TMBhigh has not been reached (median follow-up >18 months) while the median PFS for TMBlow was 2 months. A TMB of 37.4 mutations/Mb in a large MSI-H mCRC population (821/18, 140 cases; 4.5%) evaluated by NGS corresponded to the 35th percentile cut-point. CONCLUSIONS TMB appears to be an important independent biomarker within MSI-H mCRC to stratify patients for likelihood of response to ICPIs. If validated in prospective studies, TMB may play an important role in guiding the sequencing and/or combinations of ICPIs in MSI-H mCRC.
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Affiliation(s)
| | - C Ouyang
- Center for Informatics, City of Hope National Medical Center, Duarte; Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte
| | - J Sandhu
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte
| | - E Sokol
- Foundation Medicine, Inc., Cambridge
| | - D Jin
- Foundation Medicine, Inc., Cambridge
| | - J S Ross
- Foundation Medicine, Inc., Cambridge; Department of Pathology, SUNY Upstate Medical University, Syracuse
| | | | - D Lim
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte
| | - I Amanam
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte
| | - J Chao
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte
| | - D Catenacci
- Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago
| | - M Cho
- Division of Hematology and Oncology, Department of Internal Medicine, UC Davis Comprehensive Cancer Center, Sacramento
| | - F Braiteh
- Department of Hematology/Oncology, Comprehensive Cancer Centers of Nevada, Las Vegas
| | - S J Klempner
- The Angeles Clinic and Research Institute, Los Angeles, USA
| | - S M Ali
- Foundation Medicine, Inc., Cambridge
| | - M Fakih
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte.
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Trevella P, Sanders L, Jin D, Gutman J, Isaac M, Palmer S. Predicted Impact of Recent Patent Foramen Ovale Closure Trials on Management of Cryptogenic Stroke. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.668] [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: 10/26/2022]
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Kao C, Jin D, Baradi A, Wilson A. Review of Statin-Associated Symptoms, Definition and Diagnosis, and Treatment Strategies. An Australian Lipid Clinic experience. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.425] [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: 10/26/2022]
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Jin D, Baradi A, Trevella P, Whitbourne R, Darby J, Palmer S. Fever in the Setting of TAVI – Post-Implantation Fever vs Infection. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.617] [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: 11/28/2022]
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45
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Huang K, Navani R, Baradi A, Jin D, Paleri S, Ellis Z, Nguyen J, Newcomb A, Wilson A. Preoperative Serum C-reactive Protein/Albumin Ratio Predicts Early Mortality and Adverse Outcomes following Cardiac Surgery. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Nguyen J, Paleri S, Baradi A, Ellis Z, Huang K, Navani R, Jin D, Newcomb A, Darby J, Wilson A. Evaluation of Haematological and Biochemical Markers as Simple Predictors of In-hospital Mortality in Infective Endocarditis. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.380] [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: 10/26/2022]
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Shen H, Jin D, Shu JP, Zhou XL, Lei M, Wei R, Shang H, Wei HJ, Zhang R, Liu L, Gu YF, Zhang XC, Yan YH. Large-scale phylogenomic analysis resolves a backbone phylogeny in ferns. Gigascience 2018; 7:1-11. [PMID: 29186447 PMCID: PMC5795342 DOI: 10.1093/gigascience/gix116] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [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: 07/08/2017] [Accepted: 11/17/2017] [Indexed: 11/30/2022] Open
Abstract
Background Ferns, originated about 360 million years ago, are the sister group of seed plants. Despite the remarkable progress in our understanding of fern phylogeny, with conflicting molecular evidence and different morphological interpretations, relationships among major fern lineages remain controversial. Results With the aim to obtain a robust fern phylogeny, we carried out a large-scale phylogenomic analysis using high-quality transcriptome sequencing data, which covered 69 fern species from 38 families and 11 orders. Both coalescent-based and concatenation-based methods were applied to both nucleotide and amino acid sequences in species tree estimation. The resulting topologies are largely congruent with each other, except for the placement of Angiopteris fokiensis, Cheiropleuria bicuspis, Diplaziopsis brunoniana, Matteuccia struthiopteris, Elaphoglossum mcclurei, and Tectaria subpedata. Conclusions Our result confirmed that Equisetales is sister to the rest of ferns, and Dennstaedtiaceae is sister to eupolypods. Moreover, our result strongly supported some relationships different from the current view of fern phylogeny, including that Marattiaceae may be sister to the monophyletic clade of Psilotaceae and Ophioglossaceae; that Gleicheniaceae and Hymenophyllaceae form a monophyletic clade sister to Dipteridaceae; and that Aspleniaceae is sister to the rest of the groups in eupolypods II. These results were interpreted with morphological traits, especially sporangia characters, and a new evolutionary route of sporangial annulus in ferns was suggested. This backbone phylogeny in ferns sets a foundation for further studies in biology and evolution in ferns, and therefore in plants.
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Affiliation(s)
- Hui Shen
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Dongmei Jin
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Jiang-Ping Shu
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Xi-Le Zhou
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Ming Lei
- Majorbio Bioinformatics Research Institute, Building 3, Lane 3399, Kangxin Road, International Medical Park, Pudong, Shanghai 201320, China
| | - Ran Wei
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, No. 20 Nanxincun, Xiangshan, Beijing 100093, China
| | - Hui Shang
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Hong-Jin Wei
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Rui Zhang
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Li Liu
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Yu-Feng Gu
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
| | - Xian-Chun Zhang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, No. 20 Nanxincun, Xiangshan, Beijing 100093, China
| | - Yue-Hong Yan
- Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, 3888 Chenhua Road, Songjiang, Shanghai 201602, China.,Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, 3888 Chenhua Road, Songjiang, Shanghai 201602, China
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Hong Z, Sui M, Zhuang Z, Liu H, Zheng X, Cai C, Jin D. Effectiveness of Neuromuscular Electrical Stimulation on Lower Limbs of Patients With Hemiplegia After Chronic Stroke: A Systematic Review. Arch Phys Med Rehabil 2018; 99:1011-1022.e1. [DOI: 10.1016/j.apmr.2017.12.019] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 12/09/2017] [Accepted: 12/13/2017] [Indexed: 10/18/2022]
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Jin D, Jin S, Yu Y, Lee C, Chen J, Jin C. Classification of Cannabis Cultivars Marketed in Canada for Medical Purposes and Growth Trends of the North American Medical Cannabis Industry. Am J Transl Res 2018. [DOI: 10.1055/s-0038-1644959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- D Jin
- Biomedical Engineering Department, University of Alberta, Edmonton, Alberta, Canada
- Labs-Mart Inc., Edmonton, Alberta, Canada
| | - S Jin
- Labs-Mart Inc., Edmonton, Alberta, Canada
| | - Y Yu
- Labs-Mart Inc., Edmonton, Alberta, Canada
| | - C Lee
- Labs-Mart Inc., Edmonton, Alberta, Canada
| | - J Chen
- Biomedical Engineering Department, University of Alberta, Edmonton, Alberta, Canada
| | - C Jin
- Labs-Mart Inc., Edmonton, Alberta, Canada
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Takagi M, Demizu Y, Fuwa N, Terashima K, Fujii O, Jin D, Niwa Y, Hareyama M, Okimoto T. EP-1568: Results of proton therapy for castration resistant prostate cancer. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)31877-2] [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: 11/28/2022]
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