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Li Y, Su X, Li R, Zhao J, Ouyang A, Zuo T. Clinical application of microwave ablation combined with coaxial needle biopsy using different sequences for treating lung nodules suggestive of malignancy. Int J Hyperthermia 2025; 42:2474120. [PMID: 40269588 DOI: 10.1080/02656736.2025.2474120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 02/22/2025] [Accepted: 02/24/2025] [Indexed: 04/25/2025] Open
Abstract
OBJECTIVE This study aimed to evaluate the safety and efficacy of computed tomography (CT)-guided percutaneous microwave ablation (MWA) combined with coaxial needle biopsy performed in different sequences for treating lung nodules with signs of malignancy. METHODS A retrospective analysis was conducted on 51 patients (56 lesions) with lung nodules treated with MWA and coaxial needle biopsy between January 2020 and March 2024. Patients were divided into Group A (post-MWA biopsy; 26 patients, 29 lesions) and Group B (pre-MWA biopsy; 25 patients, 27 lesions). Ablation parameters, postoperative complications, prognosis, and pathological diagnosis rates were compared between groups. Patients with malignant pathology findings from both groups (Group C) were analyzed for overall survival (OS) and progression-free survival (PFS). RESULTS Technical success for needle biopsy and MWA was 100%. Pneumothorax incidence was 24.14% (7/29) in Group A and 33.33% (9/27) in Group B (p = 0.447). Intrapulmonary hemorrhage occurred in 13.79% (4/29) of Group A patients and 37.04% (10/27) of Group B of patients, showing a significantly higher rate in Group B (p = 0.026). The pathological diagnosis rate was 100% in both the groups, with malignancy rates of 72.41% (21/29) in Group A and 81.48% (22/27) in Group B (p = 0.422). For Group C, the 1-3-year OS rates were 100.00%, 93.75%, and 75.00%, respectively, and the corresponding PFS rates were 97.50%, 84.38%, and 60.00%. CONCLUSIONS Biopsy post-MWA maintains pathological diagnostic accuracy while significantly reducing the incidence of intrapulmonary hemorrhage compared to pre-MWA biopsy.
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Affiliation(s)
- Yibing Li
- Graduate School, Shandong Second Medical University, Weifang, Shandong, China
- Department of Interventional Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xinyou Su
- Department of Interventional Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Ruobing Li
- Graduate School, Shandong First Medical University, Jinan, Shandong, China
- Department of Raiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jianqiang Zhao
- Department of Interventional Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Aimei Ouyang
- Department of Raiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Taiyang Zuo
- Department of Interventional Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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Su Y, Tao J, Lan X, Liang C, Huang X, Zhang J, Li K, Chen L. CT-based intratumoral and peritumoral radiomics nomogram to predict spread through air spaces in lung adenocarcinoma with diameter ≤ 3 cm: A multicenter study. Eur J Radiol Open 2025; 14:100630. [PMID: 39850145 PMCID: PMC11754163 DOI: 10.1016/j.ejro.2024.100630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 12/24/2024] [Accepted: 12/27/2024] [Indexed: 01/25/2025] Open
Abstract
Purpose The aim of this study was to explore and develop a preoperative and noninvasive model for predicting spread through air spaces (STAS) status in lung adenocarcinoma (LUAD) with diameter ≤ 3 cm. Methods This multicenter retrospective study included 640 LUAD patients. Center I included 525 patients (368 in the training cohort and 157 in the validation cohort); center II included 115 patients (the test cohort). We extracted radiomics features from the intratumor, extended tumor and peritumor regions. Multivariate logistic regression and boruta algorithm were used to select clinical independent risk factors and radiomics features, respectively. We developed a clinical model and four radiomics models (the intratumor model, extended tumor model, peritumor model and fusion model). A nomogram based on prediction probability value of the optimal radiomics model and clinical independent risk factors was developed to predict STAS status. Results Maximum diameter and nodule type were clinical independent risk factors. The extended tumor model achieved satisfactory STAS status discrimination performance with the AUC of 0.74, 0.71 and 0.80 in the three cohorts, respectively, performed better than other radiomics models. The integrated discrimination improvement value revealed that the nomogram outperformed compared to the clinical model with the value of 12 %. Patients with high nomogram score (≥ 77.31) will be identified as STAS-positive. Conclusions Peritumoral information is significant to predict STAS status. The nomogram based on the extended tumor model and clinical independent risk factors provided good preoperative prediction of STAS status in LUAD with diameter ≤ 3 cm, aiding surgical decision-making.
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Affiliation(s)
- Yangfan Su
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
| | - Junli Tao
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
| | - Xiaosong Lan
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
| | - Changyu Liang
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
| | - Xuemei Huang
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
| | - Kai Li
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong road, Qingxiu district, Nanning, Guangxi Zhuang Autonomous Region 530021, China
| | - Lihua Chen
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu road, Shapingba district, Chongqing 400030, China
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Liu J, Li Y, Long Y, Zheng Y, Liang J, Lin W, Guo L, Qing H, Zhou P. Predicting High-risk Lung Adenocarcinoma in Solid and Part-solid Nodules on Low-dose CT: A Multicenter Study. Acad Radiol 2025; 32:2966-2976. [PMID: 39672702 DOI: 10.1016/j.acra.2024.11.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Revised: 11/20/2024] [Accepted: 11/22/2024] [Indexed: 12/15/2024]
Abstract
RATIONALE AND OBJECTIVES High-grade patterns, visceral pleural invasion, lymphovascular invasion, spread through air spaces, and lymph node metastasis are high-risk factors and associated with poor prognosis in lung adenocarcinomas (LUADs). This study aimed to construct and validate a radiomic model and a radiographic model derived from low-dose CT (LDCT) for predicting high-risk LUADs in solid and part-solid nodules. MATERIALS AND METHODS This study retrospectively enrolled 658 pathologically confirmed LUADs from July 2018 to December 2022 from four centers, which were divided into training set (n=411), internal validation set (n=139), and external validation set (n=108). Radiomic features and radiographic features including maximal diameter, consolidation/tumor ratio (CTR), and semantic features, were obtained to construct a radiomic model and a radiographic model through multivariable logistic regression. Area under receiver operating characteristic curve (AUC) was utilized to assess the diagnostic performance of the models. RESULTS Three radiomic features (GLCM_Correlation, GLSZM_SmallAreaEmphasis, and GLDM_LargeDependenceHighGrayLevelEmphasis) and four radiographic features (maximal diameter, CTR, spiculation, and pleural indentation) were selected to build models. The radiomic model yielded AUCs of 0.916 in the internal validation set and 0.938 in the external validation set, which were significantly higher than the AUCs of the radiographic model (0.916 vs. 0.868, P=0.014 and 0.938 vs. 0.880, P=0.002). CONCLUSION Our LDCT-based radiomic model enabled non-invasive identification of high-risk LUADs in solid and part-solid nodules with good diagnostic performance and might assist in case-specific decision-making in lung cancer screening.
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Affiliation(s)
- Jieke Liu
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China (J.L., Y.L., Y.L., L.G., H.Q., P.Z.)
| | - Yong Li
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China (J.L., Y.L., Y.L., L.G., H.Q., P.Z.)
| | - Yu Long
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China (J.L., Y.L., Y.L., L.G., H.Q., P.Z.)
| | - Yongji Zheng
- Department of Radiology, Deyang People's Hospital, Deyang, China (Y.Z.)
| | - Junqiang Liang
- Department of Radiology, People's Hospital of Lezhi, Ziyang, China (J.L.)
| | - Wei Lin
- Department of Radiology, Chengdu First People's Hospital, Chengdu, China (W.L.)
| | - Ling Guo
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China (J.L., Y.L., Y.L., L.G., H.Q., P.Z.)
| | - Haomiao Qing
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China (J.L., Y.L., Y.L., L.G., H.Q., P.Z.)
| | - Peng Zhou
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China (J.L., Y.L., Y.L., L.G., H.Q., P.Z.).
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Su H, Chen L, Wu J, Cheng Z, Li J, Ren Y, Xu J, Dang Y, Zheng M, Cao Y, Gao J, Dai C, Hu X, Xie H, Chen J, Luo T, Zhu J, Wu C, Sha W, Chen C, Liu H. Proteogenomic characterization reveals tumorigenesis and progression of lung cancer manifested as subsolid nodules. Nat Commun 2025; 16:2414. [PMID: 40069142 PMCID: PMC11897189 DOI: 10.1038/s41467-025-57364-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 02/20/2025] [Indexed: 03/15/2025] Open
Abstract
Lung adenocarcinoma (LUAD) radiologically displayed as subsolid nodules (SSNs) is prevalent. Nevertheless, the precise clinical management of SSNs necessitates a profound understanding of their tumorigenesis and progression. Here, we analyze 66 LUAD displayed as SSNs covering 3 histological stages including adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) by incorporating genomics, proteomics, phosphoproteomics and glycoproteomics. Intriguingly, cholesterol metabolism is aberrantly regulated in the preneoplastic AIS stage. Importantly, target ablation of proprotein convertase subtilisin/kexin type 9 (PCSK9) promotes the initiation of LUAD. Furthermore, sustained endoplasmic reticulum stress is demonstrated to be a hallmark and a reliable biomarker of AIS progression to IAC. Consistently, target promotion of ER stress profoundly retards LUAD progression. Our study provides comprehensive proteogenomic landscape of SSNs, sheds lights on the tumorigenesis and progression of SSNs and suggests preventive and therapeutic strategies for LUAD.
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Affiliation(s)
- Hang Su
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Li Chen
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Zhongyi Cheng
- Jingjie PTM BioLab (Hangzhou). Co. Inc, Hangzhou, 310000, China
| | - Jing Li
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Yijiu Ren
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Junfang Xu
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Yifang Dang
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Mengge Zheng
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Yajuan Cao
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Jiani Gao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Chenyang Dai
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Xuefei Hu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Huikang Xie
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Jianxia Chen
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Tao Luo
- Jingjie PTM BioLab (Hangzhou). Co. Inc, Hangzhou, 310000, China
| | - Jun Zhu
- Jingjie PTM BioLab (Hangzhou). Co. Inc, Hangzhou, 310000, China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
| | - Wei Sha
- Department of tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
| | - Haipeng Liu
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
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Li T, Zhang Y, Fu F, Chen H. The evolution of the treatment of non-small cell lung cancer: A shift in surgical paradigm to a more individualized approach. J Thorac Cardiovasc Surg 2025; 169:737-744.e2. [PMID: 39067812 DOI: 10.1016/j.jtcvs.2024.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 07/08/2024] [Accepted: 07/16/2024] [Indexed: 07/30/2024]
Abstract
Surgical treatment is an integral part of the comprehensive therapeutic methods for lung cancer, especially for early-stage non-small cell lung cancer (NSCLC). With a deeper understanding of the disease, we found that lung cancer is more commonly detected in young females. For regions of Asia, more lung cancer has been detected in early-stage GGO-dominant non-smokers. Therefore, surgical strategies have also been reformed commensurate with the shift of the disease spectrum. However, the pursuit of lung-sparing individualized approaches has raised worldwide attention. Suitable surgical treatment within the curative time window is recommended to maximize the long-term benefit. This article summarizes the shift in surgical treatment for small NSCLCs and hopes to enlighten further innovations to fill in the gaps between the unmet needs and a more individualized approach.
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Affiliation(s)
- Tong Li
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Zhang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fangqiu Fu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Haiquan Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Wang Z, You Z, Song Y, Ji H, Jiang G, Bu X, Zhang J, Yi T, Fang J, Yu X. One-Stage Bilateral Pulmonary Nodule Resection via Unilateral Thoracic Cavity Access: A Single-Center Experience of 12 Cases. Thorac Cancer 2025; 16:e70053. [PMID: 40129126 PMCID: PMC11933441 DOI: 10.1111/1759-7714.70053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 03/16/2025] [Accepted: 03/17/2025] [Indexed: 03/26/2025] Open
Abstract
BACKGROUND Surgical intervention remains the primary therapeutic modality for managing multiple pulmonary nodules. However, in cases with bilateral pulmonary nodules, one-stage bilateral resection is discouraged due to tumor aggressiveness and surgical invasiveness. In light of this, we investigated an innovative approach, termed one-stage bilateral pulmonary nodule resection via unilateral thoracic cavity access. METHODS From July 2022 to September 2024, a cohort of 12 patients with bilateral pulmonary nodules were enrolled in this study. This technique involves initial unilateral transcostal incision for segmental or lobectomy of a nodule on one side, followed by bilateral mediastinal pleura incision through the anterior mediastinum, facilitating subsequent wedge resection of the contralateral nodule. Clinical and pathological data, along with perioperative imaging findings and follow-up information, were systematically collected and subjected to a comprehensive retrospective analysis. RESULTS A total of 25 nodules were resected from 12 patients. Regarding surgical approaches, nine patients underwent right thoracic incision, while three patients underwent left thoracic incision. Intraoperatively, seven patients received bilateral wedge resections, whereas five patients underwent segmentectomy on one side combined with wedge resection on the contralateral side. R0 resection of the contralateral nodules was successfully achieved during the procedures. The average distance between the surgical margin and the contralateral nodules was 12.5 mm, ranging from 5 mm to 25 mm. Of the 12 patients, one (Patient 6) was lost to follow-up, while the remaining 11 patients underwent postoperative chest CT examinations. The median follow-up duration for these 11 patients was 105 days (range: 36-857 days). No evidence of bilateral pleural effusion or tumor recurrence was detected on follow-up chest CT scans. CONCLUSIONS This study offers the potential to concurrently address bilateral pulmonary nodules, thereby sparing patients from the need for a subsequent hospitalization for surgical intervention.
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Affiliation(s)
- Zhen Wang
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Zhaolei You
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Yingjian Song
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Hua Ji
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Guodong Jiang
- Department of Cardiothoracic SurgeryThe People's Hospital of Zhaoyuan CityYantaiPeople's Republic of China
| | - Xiaokun Bu
- Department of Cardiothoracic SurgeryYantai Yeda HospitalYantaiPeople's Republic of China
| | - Jingyu Zhang
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Tengfei Yi
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Jian Fang
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
| | - Xiaofeng Yu
- Department of Thoracic SurgeryYantai Yuhuangding Hospital, Qingdao UniversityYantaiPeople's Republic of China
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Xin S, Wen M, Tian Y, Dong H, Wan Z, Jiang S, Meng F, Xiong Y, Han Y. Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies. World J Surg Oncol 2025; 23:66. [PMID: 40016762 PMCID: PMC11866629 DOI: 10.1186/s12957-025-03701-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 02/02/2025] [Indexed: 03/01/2025] Open
Abstract
Lung adenocarcinoma is the most prevalent type of lung cancer, with invasive lung adenocarcinoma being the most common subtype. Screening and early treatment of high-risk individuals have improved survival; however, significant differences in prognosis still exist among patients at the same stage, especially in the early stages. Invasive lung adenocarcinoma has different histological morphologies and biological characteristics that can distinguish its prognosis. Notably, several studies have found that the pathological subtypes of invasive lung adenocarcinoma are closely associated with clinical treatment. This review summarised the distribution of various pathological subtypes of invasive lung adenocarcinoma in the population and their relationship with sex, smoking, imaging features, and other histological characteristics. We comprehensively analysed the genetic characteristics and biomarkers of the different pathological subtypes of invasive lung adenocarcinoma. Understanding the interaction between the pathological subtypes of invasive lung adenocarcinoma and the tumour microenvironment helps to reveal new therapeutic targets for lung adenocarcinoma. We also extensively reviewed the prognosis of various pathological subtypes and their effects on selecting surgical methods and adjuvant therapy and explored future treatment strategies.
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Affiliation(s)
- Shaowei Xin
- Department of Thoracic Surgery, Air Force Medical Center, Fourth Military Medical University, Beijing, China
- Department of Thoracic Surgery, 962 Hospital of the Joint Logistics Support Force, Harbin, China
| | - Miaomiao Wen
- Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yahui Tian
- Department of Thoracic Surgery, Air Force Medical Center, Fourth Military Medical University, Beijing, China
| | - Honghong Dong
- Department of Thoracic Surgery, Air Force Medical Center, Fourth Military Medical University, Beijing, China
| | - Zitong Wan
- Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
- College of Life Sciences, Northwestern University, Xi'an, 710069, China
| | - Suxin Jiang
- Department of Thoracic Surgery, Air Force Medical Center, Fourth Military Medical University, Beijing, China
| | - Fancheng Meng
- Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yanlu Xiong
- Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
- Innovation Center for Advanced Medicine, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
- Department of Thoracic Surgery, First Medical Center, Chinese PLA General Hospital and PLA Medical School, Beijing, China.
- Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Baqiao District, Shaanxi, , Xi'an, 710038, China.
| | - Yong Han
- Department of Thoracic Surgery, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
- Department of Thoracic Surgery, Air Force Medical Center, Fourth Military Medical University, 30 Fucheng Road, Haidian District, Shaanxi, , Beijing, 100142, China.
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Liu Y, Wang J, Du B, Li Y, Li X. Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT. Cancer Imaging 2025; 25:17. [PMID: 39966960 PMCID: PMC11837479 DOI: 10.1186/s40644-025-00834-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 02/04/2025] [Indexed: 02/20/2025] Open
Abstract
BACKGROUND Accurately predicting the malignant risk of ground-glass nodules (GGOs) is crucial for precise treatment planning. This study aims to utilize convolutional neural networks based on dual-time-point 18F-FDG PET/CT to predict the malignant risk of GGOs. METHODS Retrospectively analyzing 311 patients with 397 GGOs, this study identified 118 low-risk GGOs and 279 high-risk GGOs through pathology and follow-up according to the new WHO classification. The dataset was randomly divided into a training set comprising 239 patients (318 lesions) and a testing set comprising 72 patients (79 lesions), we employed a self-configuring 3D nnU-net convolutional neural network with majority voting method to segment GGOs and predict malignant risk of GGOs. Three independent segmentation prediction models were developed based on thin-section lung CT, early-phase 18F-FDG PET/CT, and dual-time-point 18F-FDG PET/CT, respectively. Simultaneously, the results of the dual-time-point 18F-FDG PET/CT model on the testing set were compared with the diagnostic of nuclear medicine physicians. RESULTS The dual-time-point 18F-FDG PET/CT model achieving a Dice coefficient of 0.84 ± 0.02 for GGOs segmentation and demonstrating high accuracy (84.81%), specificity (84.62%), sensitivity (84.91%), and AUC (0.85) in predicting malignant risk. The accuracy of the thin-section CT model is 73.42%, and the accuracy of the early-phase 18F-FDG PET/CT model is 78.48%, both of which are lower than the accuracy of the dual-time-point 18F-FDG PET/CT model. The diagnostic accuracy for resident, junior and expert physicians were 67.09%, 74.68%, and 78.48%, respectively. The accuracy (84.81%) of the dual-time-point 18F-FDG PET/CT model was significantly higher than that of nuclear medicine physicians. CONCLUSIONS Based on dual-time-point 18F-FDG PET/CT images, the 3D nnU-net with a majority voting method, demonstrates excellent performance in predicting the malignant risk of GGOs. This methodology serves as a valuable adjunct for physicians in the risk prediction and assessment of GGOs.
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Affiliation(s)
- Yuhang Liu
- Department of Nuclear Medicine, The First Hospital of China Medical University, No. 155 Nanjing St, Shenyang, 110001, China
| | - Jian Wang
- Department of Nuclear Medicine, The First Hospital of China Medical University, No. 155 Nanjing St, Shenyang, 110001, China
| | - Bulin Du
- Department of Nuclear Medicine, The First Hospital of China Medical University, No. 155 Nanjing St, Shenyang, 110001, China
| | - Yaming Li
- Department of Nuclear Medicine, The First Hospital of China Medical University, No. 155 Nanjing St, Shenyang, 110001, China.
| | - Xuena Li
- Department of Nuclear Medicine, The First Hospital of China Medical University, No. 155 Nanjing St, Shenyang, 110001, China.
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Li R, Chen J, Li Z, Li P, Qiu B, Tan F. Reassessment of the Prognostic Implication of Ground-Glass Opacity: An Investigation Into Hypermetabolic Clinical Stage IA Lung Adenocarcinoma. Thorac Cancer 2025; 16:e15530. [PMID: 39904725 PMCID: PMC11793991 DOI: 10.1111/1759-7714.15530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 12/27/2024] [Accepted: 01/01/2025] [Indexed: 02/06/2025] Open
Abstract
BACKGROUND Subsolid lung nodules represent a distinct group of lung cancers with less-aggressive biological behavior and favorable survival. We aimed to examine the prognostic impact of the ground-glass opacity (GGO) in clinical stage IA (cIA) lung adenocarcinoma with high metabolic activity. METHODS A retrospective study was conducted among patients with resected hypermetabolic and/or pure-solid cIA lung adenocarcinoma from a single institution database. The primary outcome was recurrence-free survival (RFS). The secondary outcomes included overall survival, pathological nodal upstaging, and recurrence rate. RESULTS A total of 621 patients were reviewed and classified into three groups: patients with low metabolic, solid nodules (SNs) into group A (N = 128), patients with hypermetabolic ground-glass nodules (GGNs) into group B (N = 105), and patients with hypermetabolic SNs into group C (N = 388). The five-year RFS of group B was significantly better than that of group C in the cT1a + T1b (93.3% vs. 72.5%, p = 0.002) subgroup but not in the cT1c (73.4% vs. 69.0%, p = 0.23) subgroup. Multivariable analysis showed that GGO component was an independent prognostic factor of RFS (hazard ratio [HR] = 0.41, 95% confidence interval [CI]: 0.19-0.89, p = 0.02) and protective factor of nodal upstaging (odds ratio [OR] = 0.44, 95% CI: 0.21-0.94, p = 0.03) among the hypermetabolic subgroup. All except one postoperative recurrence occurred in GGNs with solid component size > 2 cm. CONCLUSIONS The presence of GGO component was an independent prognostic factor even in hypermetabolic cIA lung adenocarcinoma. However, the oncologic outcomes of hypermetabolic GGNs were not equally favorable in different T categories.
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Affiliation(s)
- Runze Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jianchuan Chen
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhifei Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Peng Li
- Department of Cardiothoracic Surgery, Zibo First HospitalShandong Second Medical UniversityZiboChina
| | - Bin Qiu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Wang D, Hua L, Bai W, Guo M, Lv Y, Kuang D, Guan H, Yu J, Wang Q, Hao Z, Sun W, Zhang N, Li K, Xu H, Xie M. Peripheral blood immune cell dynamics associate with growth of incidental indeterminate pulmonary nodules. Respir Med 2025; 237:107947. [PMID: 39778686 DOI: 10.1016/j.rmed.2025.107947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 11/02/2024] [Accepted: 01/06/2025] [Indexed: 01/11/2025]
Abstract
OBJECTIVES Previous studies suggest peripheral blood immune cells associate with the progression and prognosis of lung cancer. The main purpose of this study was to explore the association of peripheral immune cell and its dynamics with the growth of pulmonary nodules. MATERIALS AND METHOD Of 9280 subjects whom had blood cell counts and chest CT scan in health check-up, 1068 participants were enrolled with the incidental pulmonary nodules of above 5 mm in diameter and subsequently followed up for 2 years. The pulmonary nodules were identified as growth based on the increase of at least 2 mm in the diameters within the two years. The relationships of pulmonary nodules growth with peripheral immune cell dynamics and clinical variables were analyzed using univariable inter-group comparison and multivariable logistic regression analyses. RESULTS During the two years, 116 (10.9 %) of 1068 participants had the growth pulmonary nodules. Overall, emphysema, nodule diameter and non-solid characteristics associated with the growth of nodules. In the subgroup of pure solid nodules, high baseline eosinophil percentage (OR 1.220; 95 % CI 1.009-1.474; P = 0.040) and the increase of neutrophil count (OR 3.805; 95 % CI 1.027-14.093; P = 0.045) were significant risk factors for the nodule growth. In the subgroup of solid-predominant nodules, the increase of lymphocyte was associated with a lower risk of growth (OR 0.039; 95 % CI 0.002-0.839; P = 0.038). CONCLUSIONS High baseline eosinophil and increase of neutrophil were associated with the growth of pure solid pulmonary nodules. The decrease of lymphocyte related to the growth of solid-predominant nodules.
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Affiliation(s)
- Dongyuan Wang
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lijuan Hua
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenxue Bai
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengyao Guo
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yongman Lv
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dong Kuang
- Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hanxiong Guan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Yu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Wang
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhipeng Hao
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Sun
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ni Zhang
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kaiyan Li
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Xu
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Min Xie
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Kamtam DN, Berry MF, Lin N, Kapula N, Kim JJ, Wallen B, Satoyoshi M, Elliott IA, Guenthart BA, Liou DZ, Lui NS, Backhus LM, Shrager JB. The Association of Chylothorax With Aggressiveness of Lymph Node Management During Pulmonary Resection. Ann Thorac Surg 2025:S0003-4975(25)00086-4. [PMID: 39894428 DOI: 10.1016/j.athoracsur.2025.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 12/12/2024] [Accepted: 01/30/2025] [Indexed: 02/04/2025]
Abstract
BACKGROUND Chylothorax is a morbid and costly complication that can originate in lymph node resection beds. We hypothesized a close association between the occurrence of chylothorax and the extent and aggressiveness of lymph node dissection. METHODS We conducted a nested case-control study of 1728 non-small cell lung cancer patients who underwent resection at our institution between January 2005 and July 2023. Cases were defined as patients who developed chylothorax. Each case was matched with 3 control patients who did not develop chylothorax, based on year of diagnosis, clinical N descriptor, presence of granulomatous lymph nodes, extent of resection, and tumor laterality. Using conditional logistic regression, we estimated risk ratios with 95% CIs to examine the association between the occurrence of chylothorax and several measures of the extent of lymph node resection. RESULTS The incidence of chylothorax was 33 of 1728 (1.9%). In the matched groups, patients with chylothorax had higher rates of complete lymphadenectomy (82% vs 65%, P = .059) and systematic lymph node dissection as defined by International Association for the Study of Lung Cancer, European Society of Medical Oncology, and European Society of Thoracic Surgeons (85% vs 52%, P = .002). Station 2 was resected significantly more often in the chylothorax group (48.5% vs 29%, P = .04). The chylothorax group had a longer median in-hospital stay (7 vs 4 days, P = .003) and higher rates of reoperation (18% vs 1.0%, P = .006) and readmission (18% vs 5%, P = .03). CONCLUSIONS In matched groups, chylothorax is associated with several measures of more aggressive lymph node management and results in substantial postoperative morbidity. This finding provides additional support for more selective lymph node management approaches when resecting smaller, less solid, and less 18-fluorodeoxyglucose-avid tumors.
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Affiliation(s)
- Devanish N Kamtam
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Mark F Berry
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Nicole Lin
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Ntemena Kapula
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Jake J Kim
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Bailey Wallen
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Mina Satoyoshi
- Research Technology Data Services, Technology and Digital Solutions, Stanford University School of Medicine, Stanford, California
| | - Irmina A Elliott
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California; Department of Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Brandon A Guenthart
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Douglas Z Liou
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Natalie S Lui
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Leah M Backhus
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California; Department of Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Joseph B Shrager
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California; Department of Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California.
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12
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Han Y, Zhang W, Xu P, Tian Z, Hao Y, Zhang J, Ren T, Liang C. One-stage versus two-stage video-assisted thoracic surgery for synchronous bilateral pulmonary nodules: protocol for a single center, non-randomized clinical trial (OTVATS-1). BMC Surg 2025; 25:45. [PMID: 39871205 PMCID: PMC11771014 DOI: 10.1186/s12893-024-02753-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2024] [Accepted: 12/30/2024] [Indexed: 01/29/2025] Open
Abstract
BACKGROUND Previous retrospective studies demonstrated both one-stage and two-stage video-assisted thoracic surgery (VATS) for bilateral pulmonary nodules were safe and feasible in selected patients. However, prospective data is still lacking. The purpose of this trial is to prospectively compare the prognostic and perioperative outcomes between one-stage and two-stage VATS for synchronous bilateral pulmonary nodules. METHODS We conduct a prospective clinical trial to investigate the surgical outcomes of one-stage and two-stage VATS for patients with synchronous bilateral pulmonary nodules. This trial plan to enroll 198 patients from a single institution during a period of 5 years. The primary outcome is 5-year overall survival. Secondary outcomes include 5-year disease free survival, 3-year overall survival, 3-year disease free survival, overall complications rate, 30-day mortality, pain score after surgery, surgical time, blood loss in the operation, duration of chest tube, length of stay, and quality of life score after surgery. DISCUSSION To our knowledge, this study is the first prospective registered clinical trials to compare the clinical outcomes after one-stage or two-stage VATS for synchronous bilateral non-small cell lung cancer. TRAIL REGISTRATION This study underwent review by the Ethics Committee of China-Japan Friendship Hospital under No. 2023-KY-061-1. It has been officially registered with the China Clinical Trial Registry, TRN: ChiCTR2300071198 and registration date is May. 8, 2023.
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Affiliation(s)
- Yu Han
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Weixun Zhang
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Peihang Xu
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Zhoujunyi Tian
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Yang Hao
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Jin Zhang
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Tai Ren
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Department of Developmental and Behavioural Paediatric & Child Primary Care, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaoyang Liang
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.
- Department of General Thoracic Surgery, China-Japan Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, Beijing, 100029, China.
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13
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Han Y, Xiao F, Ma Q, Zhang Z, Wang Z, Liang C, Liu D. One-stage versus two-stage thoracoscopic surgery for synchronous bilateral pulmonary nodules: a propensity score-matched analysis. World J Surg Oncol 2025; 23:18. [PMID: 39849472 PMCID: PMC11756188 DOI: 10.1186/s12957-025-03660-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Accepted: 01/07/2025] [Indexed: 01/25/2025] Open
Abstract
BACKGROUND The aim of this study was to compare the surgical efficacy of one-stage and two-stage video-assisted thoracoscopic surgery (VATS) for bilateral multiple pulmonary nodules (BMPNs). METHODS A retrospective analysis was made of 156 patients, 84 who underwent one-stage and 72 who underwent two-stage VATS for BMPNs at our department between January 2019 and December 2022. Perioperative and long-term outcomes were compared between the two groups using propensity score-matched (PSM) analysis. RESULTS There were 48 patients in each group after PSM. No significant difference was observed in operation time, blood loss, rates of overall complications, and 3-year overall survival (p>0.05) between one-stage and two-stage groups. The one-stage procedure was associated with shorter length of stay (5 days [IQR 4-5.75 days] vs. 9 days [IQR 7-10 days]; p<0.001), as well as lower total cost (14626.3 ± 4149.4 vs. 18975.9 ± 3720.8 USD, p<0.001) compared to the two-stage procedure. The one-stage group was associated with better 3-year RFS compared with the two-stage group (90.7% vs. 75.3%, p = 0.039). CONCLUSION One-stage and two-stage VATS for BMPNs are both safe and feasible in selected patients. One-stage procedure possess potential advantages in reducing hospital stay and cost, as well as preventing tumor progression.
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Affiliation(s)
- Yu Han
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China
| | - Fei Xiao
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China
| | - Qianli Ma
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China
| | - Zhenrong Zhang
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China
| | - Zaiyong Wang
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China
| | - Chaoyang Liang
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China.
| | - Deruo Liu
- Department of General Thoracic Surgery, Friendship Hospital, No. 2 Yinghua East Road, Chaoyang District, 100029, Beijing, China
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Zhai X, Lin D, Shen Y, Zhai N, Yu F, Zhang J, Lin Y, Wang Y, Zhou Q, Zheng X. A novel interplay between bacteria and metabolites in different early-stage lung cancer: an integrated microbiome and metabolome analysis. Front Oncol 2025; 14:1492571. [PMID: 39839794 PMCID: PMC11746054 DOI: 10.3389/fonc.2024.1492571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 11/20/2024] [Indexed: 01/23/2025] Open
Abstract
Background The carcinogenesis mechanism of early-stage lung cancer (ESLC) remains unclear. Microbial dysbiosis is closely related to tumor development. This study aimed to analyze the relationship between microbiota dysbiosis in ESLC. Methods We investigated a total of 108 surgical specimens of lung nodules, including ground glass nodules (GGN) diagnosed as lung adenocarcinoma (n = 25), solid nodules (SN) diagnosed as lung adenocarcinoma (n = 27), lung squamous carcinoma (LUSC) presenting as solid nodules (n = 26), and benign pulmonary nodules (BPD) (n = 30) that were collected. 16S rDNA amplicon sequencing and non-targeted metabolomics analysis were performed in all of the specimens. Results We found a significantly lower microbiota richness in SN than in the GGN and LUSC. Ralstonia may be an important flora promoting the development of early lung adenocarcinoma, while Feacalibacterium and Blautia play a protective role in the progression of GGN to SN. Akkermansia, Escherichia-shigella, and Klebsiella exhibited high abundance in early lung squamous carcinoma. Compared with BPD, the differential metabolites of both early adenocarcinomas (SN and GGN) are mainly involved in energy metabolic pathways, while early LUSC is mainly involved in glutathione metabolism, producing and maintaining high levels of intracellular redox homeostasis. A correlation analysis revealed that different microbiota in GGN may function in energy metabolism via N-acetyl-1-aspartylglutamic acid (NAAG) when compared to BPD, while creatine and N-acetylmethionine were the main relevant molecules for the function of differential microbiota in LUSC. Conclusion Our study identified that early-stage lung adenocarcinoma and squamous carcinoma differ in microbial composition and metabolic status. Ralstonia may be an important flora promoting the development of early lung adenocarcinoma, while Feacalibacterium and Blautia play a protective role in the progression of GGN to SN. Conversely, Akkermansia, Escherichia-shigella, and Klebsiella exhibited high abundance in early lung squamous carcinoma. The metabolites of both early adenocarcinomas (SN and GGN) are mainly involved in energy metabolic pathways, while early LUSC is mainly involved in glutathione metabolism. Our study provides new insights into the carcinogenesis of ESLC.
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Affiliation(s)
- Xiaoqian Zhai
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Dongqi Lin
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yi Shen
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Thoracic Surgery, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ni Zhai
- Neurosurgery Intensive Care Unit, The 987th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Baoji, Shanxi, China
| | - Fan Yu
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiabi Zhang
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Yiyun Lin
- Graduate School of Biomedical Sciences, MD Anderson Cancer Center UT Health, Houston, TX, United States
| | - Yuqing Wang
- Graduate School of Biomedical Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Qinghua Zhou
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xi Zheng
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Fan X, Liang C, Ma X, Li Q. Clinical, Imaging, and Pathological-Molecular Characteristics Associated with Stage IA Invasive Lung Adenocarcinoma Recurrence After Sub-lobar Resection. Acad Radiol 2025; 32:450-459. [PMID: 39043517 DOI: 10.1016/j.acra.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/25/2024]
Abstract
RATIONALE AND OBJECTIVES This study aimed to investigate the association of clinical, imaging, and pathological-molecular characteristics with the prediction of patient prognosis with stage IA invasive lung adenocarcinoma (ILADC) after sub-lobar resection. MATERIALS AND METHODS This study assessed 360 patients, including 91 and 269 with and without recurrence 3 years postoperatively, respectively, with stage IA ILADC undergoing preoperative chest computed tomography (CT) scans and subsequent sub-lobar resection at our institution. Their clinical and CT features and histological subtypes and gene mutation status were compared. Binary logistic regression analysis was conducted to identify the independent risk factors for recurrence. An external validation cohort included 113 patients, used to test the model's efficiency. RESULTS For clinical features, old age, male gender, smokers, and high age-adjusted Charlson comorbidity index (ACCI) were frequently observed in patients with recurrence than those without (all p < 0.05). For CT features, large tumor size, solid-predominant density, spiculation, peripheral fibrosis, type II pleural tag, and pleural adhesion were more common in recurrent patients than non-recurrent ones (all p < 0.05). The regression model revealed old age, large tumor size, solid-predominant density, spiculation, type II pleural tag, and pleural adhesion as independent risk factors for recurrence, with an area under the curve (AUC) of 0.942. The external validation cohort obtained an AUC of 0.958. For phological-molecular features, micropapillary/solid-predominant growth pattern, KRAS, ALK, and NRAS mutation or fusion were more common in the recurrent group, whereas EGFR mutation was more frequent in the non-recurrent group (all p < 0.05). CONCLUSION Clinical and CT features help predict the prognosis of patients with stage IA ILADC after sub-lobar resection and decide for individualized treatment. Moreover, patients with different prognosis demonstrated different pathological-molecular features.
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Affiliation(s)
- Xin Fan
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.F., Q.L.)
| | - Chen Liang
- Department of Radiology, The Second Affiliated Xinqiao Hospital of Army Medical University, Chongqing, China (C.L.)
| | - Xueqin Ma
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.M.)
| | - Qi Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.F., Q.L.).
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Tang WF, Qiu ZB, Chu XP, Zeng YM, Hu YB, Tang X, Yu YF, Li WH, Zhong WZ, Huang WZ, Liang Y. EGFR Mutation Rates Correlate with Age at Diagnosis and Tumor Characteristics in Patients with Pulmonary Ground-Glass Opacities. Ann Surg Oncol 2024:10.1245/s10434-024-16730-7. [PMID: 39722087 DOI: 10.1245/s10434-024-16730-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 12/05/2024] [Indexed: 12/28/2024]
Abstract
BACKGROUND To clearly reveal the correlations between tumor characteristics, age at diagnosis, and epidermal growth factor receptor (EGFR) mutation rates in patients with pulmonary ground-glass opacities (GGOs). METHODS We retrospectively reviewed 1473 patients with GGOs between January 2015 and May 2020 from two cancer centers. The tumor characteristics and EGFR mutation rates were compared between different age groups. Multivariate logistic regression was fitted to analyze the relationship between age, tumor characteristics, and EGFR mutation rates. RESULTS The older patients had more large tumors, mixed GGOs with a consolidation-to-tumor ratio (CTR) of >0.5, and invasive adenocarcinoma (IAC) and pathologic stage IA2-IB. Overall, the rate of EGFR mutations in GGOs was 57.3% and the main subtypes were L858R and 19del mutations. The distribution of EGFR subtypes varied in different age and GGO diameter groups. Age (p = 0.036), GGO types (p = 0.005), tumor diameter (p = 0.039), and pathological types (p < 0.001) were significant predictors for EGFR mutation status. Importantly, significant differences in EGFR mutation rates between age groups were mainly observed in the GGO ≤2 cm diameter (p < 0.001), pure GGOs (p = 0.001), and IAC (p = 0.039) cohorts. Overall, those diagnosed at >50 years of age had a 47.0% increased likelihood of harboring EGFR mutations. Compared with the older group, the increased chance of harboring EGFR mutations for patients with larger tumors, mixed GGOs, and IAC was greater in the younger group. CONCLUSIONS The EGFR mutation rates were varied among different tumor characteristics and age at diagnosis. These findings provide new insights into the treatment of GGOs.
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Affiliation(s)
- Wen-Fang Tang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Zhen-Bin Qiu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People's Republic of China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, People's Republic of China
| | - Xiang-Peng Chu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Yu-Mei Zeng
- Department of Pathology, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China
| | - Yi-Bin Hu
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China
| | - Xuan Tang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China
| | - Ye-Feng Yu
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China
| | - Wen-Hao Li
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, People's Republic of China.
| | - Wei-Zhao Huang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China.
| | - Yi Liang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China.
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Lin R, Yu G, Tu X. Preoperative fractional exhaled nitric oxide is a risk and predictive factor of postoperative cough for early-stage non-small cell lung cancer patients: a longitudinal study. BMC Pulm Med 2024; 24:598. [PMID: 39623395 PMCID: PMC11613588 DOI: 10.1186/s12890-024-03413-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 11/25/2024] [Indexed: 12/06/2024] Open
Abstract
BACKGROUND To determine whether preoperative fractional exhaled nitric oxide (FENO) level is a risk and predictive factor of postoperative cough by using the Leicester Cough Questionnaire in Mandarin-Chinese (LCQ-MC). METHODS 292 early-stage non-small cell lung cancer (NSCLC) patients without preoperative cough were enrolled. 138 patients (47.2%) developed postoperative cough, univariate and multivariate logistic regression analysis were performed to identify the independent risk factors of postoperative cough. For an exploratory analysis, patients with cough were divided into low and high- FENO [≥ 31 parts per billion (ppb)] groups. The LCQ-CM was used to evaluate changes and recovery trajectory of postoperative cough over time between the two groups for 12 months after surgery. RESULTS The independent factors of postoperative cough included preoperative FENO level [odds ratio (OR) 1.106, 95% confidence interval (CI): 1.076-1.137, p < 0.001] and duration of anesthesia (OR 1.008, 95% CI: 1.002-1.013, p = 0.004). The low-FENO group reported significantly higher LCQ-MC scores at 1 month after surgery and returned to preoperative physical (28 vs. 91 days), psychological (28 vs. 60 days), social (28 vs. 80 days) and total (28 vs. 91 days) scores faster than the high-FENO group (all p < 0.05). CONCLUSION Higher preoperative FENO level and longer duration of anesthesia were independent risk factors related to postoperative cough. Additionally, patients with high preoperative FENO level had worse cough-related quality of life and slower recovery from postoperative cough. TRIAL REGISTRATION This study was approved by the Chinese Clinical Trial Registry (Clinicaltrials.gov number: ChiCTR1900023419) on 26 May 2019 and the first patient was enrolled after pre-registration.
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Affiliation(s)
- Rongjia Lin
- Department of Thoracic Surgery, Fujian Provincial Hospital, 350000, Fuzhou, China
| | - Genmiao Yu
- Department of Burn and Plastic Surgery, Shengli Clinical Medical College of Fujian Medical University, 350000, Fuzhou, China
| | - Xiuhua Tu
- Department of Thoracic Surgery, Fujian Provincial Hospital, 350000, Fuzhou, China.
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Chen J, Zeng X, Li F, Peng J. Study on the value of 3D visualization in differentiating IA and non-IA pulmonary ground-glass nodules. Clin Radiol 2024; 79:e1433-e1442. [PMID: 39266373 DOI: 10.1016/j.crad.2024.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 07/04/2024] [Accepted: 08/03/2024] [Indexed: 09/14/2024]
Abstract
OBJECTIVE To determine the most effective diagnostic markers and their associated thresholds for Ground-glass nodules (GGN) for identification of invasive adenocarcinoma (IA) and non-IA (including atypical adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), and minimally invasive adenocarcinoma (MIA)), and to explore the application in preoperative surgical evaluation. METHODS AND METHODS A total of 126 cases, confirmed by pathology, were retrospectively analyzed. 70 cases were classified as the IA group, while the non-IA group consisted of cases of AAH, AIS, and MIA, with a total of 56 cases. The study compared the differences in demographic, morphological, and three-dimensional (3D) quantitative parameters between the two groups. RESULTS There were statistically significant differences in various signs such as air bronchogram, lobulation, pleural indentation, spiculation, shape, and margin between the two groups. Additionally, Statistical significance was observed in all 3D quantitative parameters for both groups. Notably, when 3D volume of lesions exceeded 447 mm3, the sensitivity to predict IA was 81% with specificity at 69%. Utilizing multivariate logistic regression analysis, it was identified that the independent predictive value in discriminating between IA and non-IA lies with both the 3D volume and solid proportion. Combining these two indexes significantly improved the prediction accuracy (AUC = 0.826). CONCLUSIONS Reasonable utilization of 3D visualization technology can effectively aid in distinguishing between IA and non-IA. When coupled with clinical data and CT signs, this technique holds vital importance in directing the evaluation of surgical interventions prior to surgery.
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Affiliation(s)
- J Chen
- Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, 16th Meiguan Avenue, Ganzhou 341000, PR China; Clinical Research Center for Medical Imaging in Jiangxi Province, Nanchang 330000, PR China
| | - X Zeng
- Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, 16th Meiguan Avenue, Ganzhou 341000, PR China; Clinical Research Center for Medical Imaging in Jiangxi Province, Nanchang 330000, PR China
| | - F Li
- Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, 16th Meiguan Avenue, Ganzhou 341000, PR China; Clinical Research Center for Medical Imaging in Jiangxi Province, Nanchang 330000, PR China
| | - J Peng
- Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, 16th Meiguan Avenue, Ganzhou 341000, PR China; Clinical Research Center for Medical Imaging in Jiangxi Province, Nanchang 330000, PR China.
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Shi W, Hu Y, Yang Y, Song Y, Chang G, Qian H, Wei Z, Gao L, Sun Y, Li M, Yi H, Wu S, Wang K, Mao Y, Ai S, Zhao L, Zheng H, Li X. Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence. Thorac Cancer 2024; 15:2500-2508. [PMID: 39478305 DOI: 10.1111/1759-7714.15447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/23/2024] [Accepted: 09/01/2024] [Indexed: 12/17/2024] Open
Abstract
BACKGROUND With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) is a critical early stage of lung cancer, necessitating accurate diagnosis for early intervention. This study applies artificial intelligence (AI) for quantitative imaging analysis to differentiate AIS from atypical adenomatous hyperplasia (AAH) and minimally invasive adenocarcinoma (MIA), aiming to enhance clinical diagnosis and prevent misdiagnosis. METHODS The study analyzed 1215 PNs with confirmed AAH, AIS, and MIA from six centers using the Shukun AI diagnostic module. Parameters evaluated included demographic data and various CT imaging metrics to identify indicators for clinical application, focusing on the mean CT value's predictive value. RESULTS Significant differences were found in several parameters between AAH and AIS, with nodule mass showing the highest predictive value. When comparing AIS to MIA, total nodule volume was the best predictor, followed by the maximum CT value. CONCLUSION The mean CT value has limited discriminative power for AIS diagnosis. Instead, the maximum CT value and maximum 3D diameter are recommended for clinical differentiation. Nodule mass and volume of solid components are strong indicators for differentiating AIS from AAH and MIA, respectively.
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Affiliation(s)
- Wensong Shi
- Department of Thoracic Surgery, The fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuzhui Hu
- Department of Geratology, Ninth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Yulun Yang
- Department of Thoracic Surgery, The fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
| | - Yinsen Song
- Translational Medicine Research Center (Key Laboratory of Organ Transplantation of Henan Province), The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
| | - Guotao Chang
- Department of Thoracic Surgery, The fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
| | - He Qian
- Department of Thoracic Surgery, The fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
| | - Zhengpan Wei
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liang Gao
- Department of Geratology, Ninth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Yingli Sun
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Ming Li
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Hang Yi
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sikai Wu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kun Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yousheng Mao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyuan Ai
- Department of Thoracic Surgery, Liangxiang Hospital, Beijing, China
| | - Liang Zhao
- Shukun (Beijing) Technology Co, Beijing, China
| | - Huiyu Zheng
- Department of Thoracic Surgery, The fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
| | - Xiangnan Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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20
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Wang X, Yang C, Wang X, Wang D. Predicting invasiveness of ground-glass nodules in lung adenocarcinoma: based on preoperative 18 F-fluorodeoxyglucose PET/computed tomography and high-resolution computed tomography. Nucl Med Commun 2024; 45:1013-1021. [PMID: 39290039 PMCID: PMC11537463 DOI: 10.1097/mnm.0000000000001898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 08/30/2024] [Indexed: 09/19/2024]
Abstract
OBJECTIVE This study was conducted to explore the differential diagnostic value of PET/computed tomography (PET/CT) combined with high-resolution computed tomography (HRCT) in predicting the invasiveness of ground-glass nodules (GGNs). MATERIALS AND METHODS This retrospective analysis included 67 patients (mean age 62.5 ± 8.4, including 45 females and 22 males) with GGNs who underwent preoperative 18 F-fluorodeoxyglucose ( 18 F-FDG) PET/CT and HRCT examinations between January 2018 and October 2022. Based on the postoperative pathological results of lung adenocarcinoma, the patients were classified into two groups: invasive adenocarcinoma (IAC) and non-IAC. Besides, the clinical and imaging information of these patients was collected. HRCT signs include the existence of air bronchial signals, vascular convergence, pleural indentation, lobulation, and spiculation. Moreover, the diameter of solid components (D Solid ), diameter of ground-glass nodules (D GGN ), and computed tomography values of ground-glass nodules (CT GGN ) were measured concurrently. Furthermore, the mean standardized uptake value, maximal standardized uptake value (SUVmax), metabolic tumor volume, and total lesion glycolysis were assessed during PET/CT. Associations between invasiveness and these factors were evaluated using univariate and multivariate analyses. RESULTS The results of logistic regression analysis demonstrated that D GGN , D Solid , consolidation tumor ratio (CTR), CT GGN , and SUVmax were independent predictors in the IAC group. The combined diagnosis based on these five predictors revealed that area under the curve was 0.825. CONCLUSION The D GGN , D Solid , CTR, CT GGN , and SUVmax in GGNs were independent predictors of IAC, and combining 18 F-FDG PET/CT metabolic parameters with HRCT may improve the predictive value of pathological classification in lung adenocarcinoma.
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Affiliation(s)
- Ximei Wang
- Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Chunyan Yang
- Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Xuewei Wang
- Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Dalong Wang
- Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
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21
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Jiang L, Zhang X, Ding SA, Tang M, Ding F, Mei J, Liu H. Simultaneous thoracoscopic surgery in patients with atrial fibrillation and early-stage lung cancer. Int J Cardiol 2024; 414:132422. [PMID: 39098610 DOI: 10.1016/j.ijcard.2024.132422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 07/29/2024] [Accepted: 08/01/2024] [Indexed: 08/06/2024]
Abstract
OBJECTIVES Atrial fibrillation (AF) and early-stage lung cancer can both be treated under thoracoscopy. This study aims to evaluate the feasibility and safety of simultaneous thoracoscopic surgery for atrial fibrillation and early-stage lung cancer. METHODS This was a single-center, retrospective study of 865 patients with paroxysmal or non-paroxysmal AF who underwent surgical ablation between October 2014 and December 2021. Patients were divided into two groups according to whether they have undergone simultaneous thoracoscopic early-stage lung cancer surgery and resulting in 24 pairs of patients. RESULTS In total, 48 patients (24 matched pairs) were analyzed. The age was 63.71 ± 8.43 years. Procedure time and postoperative mechanical ventilation time were significantly lower in the group AF than group AFLC (Atrial fibrillation and lung cancer) (140.38 ± 27.53 vs. 230.79 ± 59.06 min, P<0.001; 5 vs 6.5 h, P = 0.002). There was no significant difference between the groups in terms of operative bleeding volume (90.00 ± 29.78 vs 85.83 ± 53.56 ml, P = 0.741), total postoperative drainage volume (1020.83 ± 516.5 vs 1406.25 ± 840.33 ml, P = 0.067), ICU (intensive care unit) length of stay (LOS) (43.5 vs 44 h, P = 0.33), hospitalization LOS (9.29 ± 1.92 vs 8.58 ± 1.98 days, P = 0.214) and incidence of freedom from AF or complications. CONCLUSIONS Simultaneous thoracoscopic surgical AF ablation and early-stage lung cancer is safe and feasible. It can be used as an alternative method for coexisting atrial fibrillation and lung cancer with acceptable operative risks.
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Affiliation(s)
- Lianyong Jiang
- Cardiothoracic Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Xuefeng Zhang
- Department of Radiology, The First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
| | - Shi-Ao Ding
- Cardiothoracic Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Ming Tang
- Cardiothoracic Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Fangbao Ding
- Cardiothoracic Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Ju Mei
- Cardiothoracic Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Hao Liu
- Cardiothoracic Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China.
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22
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Zarrouki S, Marouf R. Lung cancer masquerading as COVID-19 in a young non-smoking woman: case report. Ann Med Surg (Lond) 2024; 86:6182-6185. [PMID: 39359801 PMCID: PMC11444642 DOI: 10.1097/ms9.0000000000002470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 08/01/2024] [Indexed: 10/04/2024] Open
Abstract
Introduction and importance The clinical and radiological similarities between COVID-19 and lung cancer pose diagnostic challenges, particularly in young, non-smoking individuals. Ground glass opacities (GGO) on imaging, often associated with COVID-19, can also indicate lung cancer. Distinguishing between these conditions is crucial but complex, requiring a systematic approach. Case presentation The authors present a case of a 31-year-old non-smoking woman initially suspected of COVID-19 due to cough, dyspnea, and GGO on chest CT. Despite negative RT-PCR and inconclusive bronchial aspiration, symptoms persisted, prompting further investigation. A PET scan revealed hypermetabolic consolidation, leading to a biopsy confirming adenocarcinoma. Clinical discussion Lung cancer can mimic COVID-19 symptoms, complicating diagnosis, especially in young, non-smoking patients. While smoking remains the primary risk factor, lung cancer in non-smokers, particularly young individuals, is increasingly recognized. GGO, commonly associated with COVID-19, should prompt consideration of malignancy, emphasizing the importance of a comprehensive differential diagnosis. Conclusion Early detection of lung cancer in young, non-smoking individuals is vital yet challenging. Clinicians should maintain a high index of suspicion, promptly investigating persistent or worsening symptoms, even in the absence of traditional risk factors. Timely biopsy and intervention are critical for improving outcomes in this population.
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Affiliation(s)
- S Zarrouki
- Departement of Thoracic Surgery, Mohammed VI University Hospital Center
| | - R Marouf
- Departement of Thoracic Surgery, Mohammed VI University Hospital Center
- Mohammed First University, Faculty of Medicine and Pharmacy, Oujda, Morocco
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Wong LY, Elliott IA, Liou DZ, Backhus LM, Lui NS, Shrager JB, Berry MF. Lepidic-Type Lung Adenocarcinomas: Is It Safe to Observe for Growth Before Treating? Ann Thorac Surg 2024; 118:817-823. [PMID: 38490310 DOI: 10.1016/j.athoracsur.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 01/23/2024] [Accepted: 03/04/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND Lepidic-type adenocarcinomas (LPAs) can be multifocal, and treatment is often deferred until growth is observed. This study investigated the potential downside of that strategy by evaluating the relationship of nodal involvement with tumor size and survival. METHODS The impact of tumor size on lymph node involvement and survival was evaluated for National Cancer Database patients who underwent surgery without induction therapy as primary treatment for cT1-3 N0 M0 histologically confirmed LPA from 2006 to 2019 by using logistic regression, Kaplan-Meier, and Cox analyses. RESULTS Positive nodes occurred in 442 of 8286 patients (5.3%). The incidence of having positive nodes approximately doubled with each 1-cm increment increase in size. Patients with positive nodes were more likely to have larger tumors (27 mm vs 20 mm, P < .001) and clinical ≥T2 disease (40.7% vs 26.8%, P < .001) compared with node-negative patients. However, tumor size was the only significant independent predictor of having positive nodal disease in logistic regression analysis, and this association grew stronger with each incremental centimeter increase in size. Patients with positive nodes were more likely to undergo adjuvant radiotherapy (23.5% vs 1.1%, P < .001) and chemotherapy (72.9% vs 7.9%, P < .001), and expectedly, had worse survival compared with the node-negative group in univariate (5-year overall survival, 50.9% vs 81.1%, P < .001) and multivariable (hazard ratio, 2.56; 95% CI, 2.14-3.05; P < .001) analyses. CONCLUSIONS Nodal involvement is relatively uncommon in early-stage LPAs but steadily increases with tumor size and is associated with dramatically worse survival. These data can be used to inform treatment decisions when evaluating LPA patients.
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Affiliation(s)
- Lye-Yeng Wong
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California.
| | - Irmina A Elliott
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California; Department of Cardiothoracic Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Douglas Z Liou
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California
| | - Leah M Backhus
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California; Department of Cardiothoracic Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Natalie S Lui
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California
| | - Joseph B Shrager
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California; Department of Cardiothoracic Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Mark F Berry
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Palo Alto, California
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Cases C, Mollà M, Sánchez M, Benegas M, Ballestero M, Serrano-Rueda S, Antelo G, Gomà C. Feasibility and potential clinical benefit of dose de-escalation in stereotactic ablative radiotherapy for lung cancer lesions with ground glass opacities. Phys Imaging Radiat Oncol 2024; 32:100681. [PMID: 39717187 PMCID: PMC11663960 DOI: 10.1016/j.phro.2024.100681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 11/20/2024] [Accepted: 11/20/2024] [Indexed: 12/25/2024] Open
Abstract
Introduction Treatment of neoplasic lung nodules with ground glass opacities (GGO) faces two primary challenges. First, the standard practice of treating GGOs as solid nodules, which effectively controls the tumor locally, but might increase associated toxicities. The second is the potential for dose calculation errors related to increased heterogeneity. This study addresses the optimization of a dose de-escalation regime for stereotactic ablative radiotherapy (SABR) for GGO lesions. Materials and Methods We used the CT scans of 35 patients (40 lesions) with some degree of GGO component treated at our institution between 2017 and 2021. We first assessed the dose calculation accuracy as a function of the GGO component of the lesion. We then analysed the advantages of a dose de-escalation regime in terms of lung dose reduction (Dmean, V20Gy and V300GyBED3) and plan robustness. Results We found a positive correlation between the presence of GGO and the dose calculation errors in a phantom scenario. These differences are reduced for patient data and in the presence of breathing motion. When using a de-escalation regime, significant reductions were achieved in mean lung dose, V20Gy and V300GyBED3. This study also revealed that lower doses in GGO areas lead to more stable fluence patterns, increasing treatment robustness. Conclusions The study lays the foundation for an eventual use of dose de-escalation in SABR for treating lung lesions with GGO, potentially leading to equivalent local control while reducing associated toxicities. These findings lay the groundwork for future clinical trials.
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Affiliation(s)
- Carla Cases
- Department of Radiation Oncology, Hospital Clínic, Barcelona Spain
| | - Meritxell Mollà
- Department of Radiation Oncology, Hospital Clínic, Barcelona Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, Institute for Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Clinical Foundations, University of Barcelona, Barcelona Spain
- Thoracic Oncology Unit, Hospital Clínic, Barcelona Spain
| | - Marcelo Sánchez
- Thoracic Oncology Unit, Hospital Clínic, Barcelona Spain
- Department of Radiology, Hospital Clínic, Barcelona Spain
| | - Mariana Benegas
- Thoracic Oncology Unit, Hospital Clínic, Barcelona Spain
- Department of Radiology, Hospital Clínic, Barcelona Spain
| | - Marc Ballestero
- Department of Radiation Oncology, Hospital Clínic, Barcelona Spain
| | | | - Gabriela Antelo
- Department of Radiation Oncology, Hospital Clínic, Barcelona Spain
- Thoracic Oncology Unit, Hospital Clínic, Barcelona Spain
| | - Carles Gomà
- Department of Radiation Oncology, Hospital Clínic, Barcelona Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, Institute for Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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Wang L, Maolan A, Luo Y, Li Y, Liu R. Knowledge mapping analysis of ground glass nodules: a bibliometric analysis from 2013 to 2023. Front Oncol 2024; 14:1469354. [PMID: 39381043 PMCID: PMC11458373 DOI: 10.3389/fonc.2024.1469354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 09/03/2024] [Indexed: 10/10/2024] Open
Abstract
Background In recent years, the widespread use of computed tomography (CT) in early lung cancer screening has led to an increase in the detection rate of lung ground glass nodules (GGNs). The persistence of GGNs, which may indicate early lung adenocarcinoma, has been a focus of attention for scholars in the field of lung cancer prevention and treatment in recent years. Despite the rapid development of research into GGNs, there is a lack of intuitive content and trend analyses in this field, as well as a lack of detailed elaboration on possible research hotspots. The objective of this study was to conduct a comprehensive analysis of the knowledge structure and research hotspots of lung ground glass nodules over the past decade, employing bibliometric methods. Method The Web of Science Core Collection (WoSCC) database was searched for relevant ground-glass lung nodule literature published from 2013-2023. Bibliometric analyses were performed using VOSviewer, CiteSpace, and the R package "bibliometrix". Results A total of 2,218 articles from 75 countries and 2,274 institutions were included in this study. The number of publications related to GGNs has been high in recent years. The United States has led in GGNs-related research. Radiology has one of the highest visibilities as a selected journal and co-cited journal. Jin Mo Goo has published the most articles. Travis WD has been cited the most frequently. The main topics of research in this field are Lung Cancer, CT, and Deep Learning, which have been identified as long-term research hotspots. The GGNs-related marker is a major research trend in this field. Conclusion This study represents the inaugural bibliometric analysis of applied research on ground-glass lung nodules utilizing three established bibliometric software. The bibliometric analysis of this study elucidates the prevailing research themes and trends in the field of GGNs over the past decade. It also furnishes pertinent recommendations for researchers to provide objective descriptions and comprehensive guidance for future related research.
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Affiliation(s)
| | | | | | | | - Rui Liu
- Department of Oncology, Guang’anmen Hospital, China Academy of Chinese Medical
Sciences, Beijing, China
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26
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Chen MC, Yang HS, Dong Z, Li LJ, Li XM, Luo HH, Li Q, Zhu Y. Immunogenomic features of radiologically distinctive nodules in multiple primary lung cancer. Cancer Immunol Immunother 2024; 73:217. [PMID: 39235522 PMCID: PMC11377372 DOI: 10.1007/s00262-024-03807-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 08/10/2024] [Indexed: 09/06/2024]
Abstract
OBJECTIVES To provide molecular and immunological attributes mechanistic insights for the management of radiologically distinctive multiple primary lung cancer (MPLC). METHODS The Bulk RNA-seq data of MPLC were obtained from our center. The Bulk RNA-seq data and CT images of patients with single primary lung cancer (SPLC) were obtained from GSE103584. Immune infiltration algorithms were performed to investigate the disparities in the immunological microenvironment between the two groups. Single-cell gene analysis was used to explore immune cells composition and communication relationships between cells in MPLC. RESULTS In MPLC, 11 pure ground-glass opacity nodules (pGGN) and 10 mixed GGN (mGGN) were identified, while in SPLC, the numbers were 18 pGGN and 22 mGGN, respectively. In MPLC, compared to pGGN, mGGN demonstrated a significantly elevated infiltration of CD8+ T cells. Single-cell gene analysis demonstrated that CD8+ T cells play a central role in the signaling among immune cells in MPLC. The transcription factors including MAFG, RUNX3, and TBX21 may play pivotal roles in regulation of CD8+ T cells. Notably, compared to SPLC nodules for both mGGN and pGGN, MPLC nodules demonstrated a significantly elevated degree of tumor-infiltrating immune cells, with this difference being particularly pronounced in mGGN. There was a positive correlation between the proportion of immune cells and consolidation/tumor ratio (CTR). CONCLUSIONS Our findings provided a comprehensive description about the difference in the immune microenvironment between pGGN and mGGN in early-stage MPLC, as well as between MPLC and SPLC for both mGGN and pGGN. The findings may provide evidence for the design of immunotherapeutic strategies for MPLC.
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Affiliation(s)
- Mei-Cheng Chen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China
| | - Hao-Shuai Yang
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Zhi Dong
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China
| | - Lu-Jie Li
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China
| | - Xiang-Min Li
- Department of Radiology, Hui Ya Hospital of The First Affiliated Hospital, Sun Yat-Sen University, Huizhou, 516080, Guangdong, People's Republic of China
| | - Hong-He Luo
- Department of Thoracic Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China
| | - Qiong Li
- Department of Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center/Cancer Hospital, Guangzhou, 510080, Province Guangdong, People's Republic of China.
| | - Ying Zhu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China.
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Shen X, Zhao M, Deng J, Chen T, Wen J, Xu L, Huang S, Wu J, Sun W, Ren L, She Y, Hou L, Chen C, Zhao D. Long-term prognostic characteristics of patients with clinical stage IA part-solid lung adenocarcinoma: a conditional survival analysis. Eur J Cardiothorac Surg 2024; 66:ezae337. [PMID: 39298445 DOI: 10.1093/ejcts/ezae337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 08/21/2024] [Accepted: 09/18/2024] [Indexed: 09/21/2024] Open
Abstract
OBJECTIVES Despite excellent 5-year survival, there are limited data on the long-term prognostic characteristics of clinical stage IA part-solid lung adenocarcinoma. The objective was to elucidate the dynamics of prognostic characteristics through conditional survival analysis. METHODS Consecutive patients who underwent complete resection for clinical stage IA part-solid lung adenocarcinoma between 2011 and 2015 were retrospectively reviewed. Conditional survival is defined as the probability of surviving further y years, conditional on the patient has already survived x years. The conditional recurrence-free survival (CRFS) and conditional overall survival (COS) were analysed to evaluate prognosis over time, with conditional Cox regression analysis performed to identify time-dependent prognostic factors. RESULTS A total of 1539 patients were included with a median follow-up duration of 98.4 months, and 80 (5.2%) patients experienced recurrence. Among them, 20 (1.3%) recurrence cases occurred after 5 years of follow-up with 100% intrathoracic recurrence. The 5-year CRFS increased from 95.8% to 97.4%, while the 5-year COS maintained stable. Multivariable Cox analysis revealed that histologic subtype was always an independent prognostic factor for CRFS even after 5 years of follow-up, while the independent prognostic value of consolidation-to-tumour ratio, visceral pleural invasion and lymph node metastasis was observed only within 5 years. Besides, age, pathologic size and lymph node metastasis maintained independent predictive value for COS during long-term follow-up, while consolidation-to-tumour ratio was predictive for COS only within 5 years of follow-up. CONCLUSIONS The independent prognostic factors for clinical stage IA part-solid lung adenocarcinoma changed over time, along with gradually increasing 5-year CRFS and stable 5-year COS.
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Affiliation(s)
- Xinchen Shen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Mengmeng Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jiajun Deng
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Tao Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jialiang Wen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Long Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shenghao Huang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Junqi Wu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Weiyan Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Longbing Ren
- Institute of Clinical Epidemiology and Evidence-Based Medicine, Tongji University School of Medicine, Shanghai, China
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Likun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Deping Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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Chen H, Kim AW, Hsin M, Shrager JB, Prosper AE, Wahidi MM, Wigle DA, Wu CC, Huang J, Yasufuku K, Henschke CI, Suzuki K, Tailor TD, Jones DR, Yanagawa J. The 2023 American Association for Thoracic Surgery (AATS) Expert Consensus Document: Management of subsolid lung nodules. J Thorac Cardiovasc Surg 2024; 168:631-647.e11. [PMID: 38878052 DOI: 10.1016/j.jtcvs.2024.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/15/2024] [Accepted: 02/01/2024] [Indexed: 09/16/2024]
Abstract
OBJECTIVE Lung cancers that present as radiographic subsolid nodules represent a subtype with distinct biological behavior and outcomes. The objective of this document is to review the existing literature and report consensus among a group of multidisciplinary experts, providing specific recommendations for the clinical management of subsolid nodules. METHODS The American Association for Thoracic Surgery Clinical Practice Standards Committee assembled an international, multidisciplinary expert panel composed of radiologists, pulmonologists, and thoracic surgeons with established expertise in the management of subsolid nodules. A focused literature review was performed with the assistance of a medical librarian. Expert consensus statements were developed with class of recommendation and level of evidence for each of 4 main topics: (1) definitions of subsolid nodules (radiology and pathology), (2) surveillance and diagnosis, (3) surgical interventions, and (4) management of multiple subsolid nodules. Using a modified Delphi method, the statements were evaluated and refined by the entire panel. RESULTS Consensus was reached on 17 recommendations. These consensus statements reflect updated insights on subsolid nodule management based on the latest literature and current clinical experience, focusing on the correlation between radiologic findings and pathological classifications, individualized subsolid nodule surveillance and surgical strategies, and multimodality therapies for multiple subsolid lung nodules. CONCLUSIONS Despite the complex nature of the decision-making process in the management of subsolid nodules, consensus on several key recommendations was achieved by this American Association for Thoracic Surgery expert panel. These recommendations, based on evidence and a modified Delphi method, provide guidance for thoracic surgeons and other medical professionals who care for patients with subsolid nodules.
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Affiliation(s)
- Haiquan Chen
- Division of Thoracic Surgery, Department of Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Anthony W Kim
- Division of Thoracic Surgery, Department of Surgery, University of Southern California, Los Angeles, Calif
| | - Michael Hsin
- Department of Cardiothoracic Surgery, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Joseph B Shrager
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif
| | - Ashley E Prosper
- Division of Cardiothoracic Imaging, Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, Calif
| | - Momen M Wahidi
- Section of Interventional Pulmnology, Division of Pulmonology and Critical Care, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill
| | - Dennis A Wigle
- Division of Thoracic Surgery, Department of Surgery, Mayo Clinic, Rochester, Minn
| | - Carol C Wu
- Division of Diagnostic Imaging, Department of Thoracic Imaging, MD Anderson Cancer Center, Houston, Tex
| | - James Huang
- Division of Thoracic Surgery, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Department of Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Claudia I Henschke
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kenji Suzuki
- Department of General Thoracic Surgery, Juntendo University Hospital, Tokyo, Japan
| | - Tina D Tailor
- Division of Cardiothoracic Imaging, Department of Radiology, Duke Health, Durham, NC
| | - David R Jones
- Division of Thoracic Surgery, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jane Yanagawa
- Division of Thoracic Surgery, Department of Surgery, David Geffen School of Medicine at the University of California at Los Angeles, Los Angeles, Calif.
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29
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Ma Y, Fei X, Jiang C, Chen H, Wang Z, Bao Y. Lung adenocarcinoma manifested as ground-glass nodules in teenagers: characteristics, surgical outcomes and management strategies. Eur J Cardiothorac Surg 2024; 66:ezae291. [PMID: 39073900 DOI: 10.1093/ejcts/ezae291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/09/2024] [Accepted: 07/27/2024] [Indexed: 07/31/2024] Open
Abstract
OBJECTIVES Ground-glass nodules-featured lung cancer have been identified in some teenagers in recent years. This study aims to investigate the characteristics and surgical outcomes of these patients and explore proper management strategy. METHODS Patients aged ≤20 with incidentally diagnosed lung cancer were retrospectively reviewed from February 2016 to March 2023. Based on lymph node evaluation status, these patients were divided into non-lymph node evaluation and lymph node evaluation groups. The clinical and pathological characteristics were analysed. RESULTS A total of 139 teenage patients were included, with an obviously increased cases observed from 2019, corresponding to the COVID-19 pandemic. The median age of the 139 patients was 18 years (range 12-20). Eighty-five patients had pure ground-glass nodules, while others had mixed ground-glass nodules. The mean diameter of nodules was 8.87 ± 2.20 mm. Most of the patients underwent wedge resection (64%) or segmentectomy (31.7%). Fifty-two patients underwent lymph node sampling or dissection. None of these patients had lymph node metastasis. The majority of lesions were adenocarcinoma in situ (63 cases) and minimally invasive adenocarcinoma (72 cases), while four lesions were invasive adenocarcinoma. The median follow-up time was 2.46 years, and none of these patients experienced recurrence or death during follow-up. The lymph node evaluation group had longer hospital stays (P < 0.001), longer surgery time (P < 0.001), and greater blood loss (P = 0.047) than the non-lymph node evaluation group. CONCLUSIONS The COVID-19 pandemic significantly increased the number of teenage patients incidentally diagnosed with lung cancer, presenting as ground-glass nodules on CT scans. These patients have favourable surgical outcomes. We propose a management strategy for teenage patients, and suggest that sub-lobar resection without lymph node dissection may be an acceptable surgical procedure for these patients.
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Affiliation(s)
- Yi Ma
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiang Fei
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chao Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Haiming Chen
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Ziming Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yi Bao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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30
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Ogawa H, Koga T, Pham NA, Bernards N, Gregor A, Sata Y, Kitazawa S, Hiraishi Y, Ishiwata T, Aragaki M, Yokote F, Effat A, Kazlovich K, Li Q, Hueniken K, Li M, Maniwa Y, Tsao MS, Yasufuku K. Clinical and pathological predictors of engraftment for patient-derived xenografts in lung adenocarcinoma. Lung Cancer 2024; 194:107863. [PMID: 38968761 DOI: 10.1016/j.lungcan.2024.107863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/25/2024] [Accepted: 06/24/2024] [Indexed: 07/07/2024]
Abstract
Patient-derived xenografts (PDXs) are increasingly utilized in preclinical drug efficacy studies due to their ability to retain the molecular, histological, and drug response characteristics of patient tumors. This study aimed to investigate the factors influencing the successful engraftment of PDXs. Lung adenocarcinoma PDXs were established using freshly resected tumor tissues obtained through surgery. Radiological data of pulmonary nodules from this PDX cohort were analyzed, categorizing them into solid tumors and tumors with ground-glass opacity (GGO) based on preoperative CT images. Gene mutation status was obtained from next generation sequencing data and MassARRAY panel. A total of 254 resected primary lung adenocarcinomas were utilized for PDX establishment, with successful initial engraftment in 58 cases (22.8 %); stable engraftment defined as at least three serial passages was observed in 43 cases (16.9 %). The stable engraftment rates of PDXs from solid tumors and tumors with GGO were 22.1 % (42 of 190 cases) and 1.6 % (1 of 64 cases), respectively (P < 0.001). Adenocarcinomas with advanced stage, poor differentiation, solid histologic subtype, and KRAS or TP53 gene mutations were associated with stable PDX engraftment. Avoiding tumors with GGO features could enhance the cost-effectiveness of establishing PDX models from early-stage resected lung adenocarcinomas.
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Affiliation(s)
- Hiroyuki Ogawa
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Division of Thoracic Surgery, Graduate School of Medicine, Kobe University, Hyogo, Japan
| | - Takamasa Koga
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Nhu-An Pham
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Nicholas Bernards
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Alexander Gregor
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Yuki Sata
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Shinsuke Kitazawa
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Yoshihisa Hiraishi
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Tsukasa Ishiwata
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Masato Aragaki
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Fumi Yokote
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Andrew Effat
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Kate Kazlovich
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Quan Li
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Katrina Hueniken
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ming Li
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Yoshimasa Maniwa
- Division of Thoracic Surgery, Graduate School of Medicine, Kobe University, Hyogo, Japan
| | - Ming-Sound Tsao
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
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31
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Liu B, Ye X, Fan W, Zhi X, Ma H, Wang J, Wang P, Wang Z, Wang H, Wang X, Niu L, Fang Y, Gu S, Lu Q, Tian H, Zhu Y, Qiao G, Zhong L, Wei Z, Zhuang Y, Liu H, Liu L, Liu L, Chi J, Sun Q, Sun J, Sun X, Yang N, Mu J, Li Y, Li C, Li C, Li X, Li K, Yang P, Yang X, Yang F, Yang W, Xiao Y, Zhang C, Zhang K, Zhang L, Zhang C, Zhang L, Zhang Y, Chen S, Chen J, Chen K, Chen W, Chen L, Chen H, Fan J, Lin Z, Lin D, Xian L, Meng Z, Zhao X, Hu J, Hu H, Liu C, Liu C, Zhong W, Yu X, Jiang G, Jiao W, Yao W, Yao F, Gu C, Xu D, Xu Q, Ling D, Tang Z, Huang Y, Huang G, Peng Z, Dong L, Jiang L, Jiang J, Cheng Z, Cheng Z, Zeng Q, Jin Y, Lei G, Liao Y, Tan Q, Zhai B, Li H. Expert consensus on the multidisciplinary diagnosis and treatment of multiple ground glass nodule-like lung cancer (2024 Edition). J Cancer Res Ther 2024; 20:1109-1123. [PMID: 39206972 DOI: 10.4103/jcrt.jcrt_563_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 07/11/2024] [Indexed: 09/04/2024]
Abstract
ABSTRACT This expert consensus reviews current literature and provides clinical practice guidelines for the diagnosis and treatment of multiple ground glass nodule-like lung cancer. The main contents of this review include the following: ① follow-up strategies, ② differential diagnosis, ③ diagnosis and staging, ④ treatment methods, and ⑤ post-treatment follow-up.
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Affiliation(s)
- Baodong Liu
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xin Ye
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Weijun Fan
- Department of Minimally Invasive Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiuyi Zhi
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haitao Ma
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun Wang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Peng Wang
- Minimally Invasive Cancer Treatment Center, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhongmin Wang
- Department of Interventional Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongwu Wang
- Center for Respiratory Diseases, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoping Wang
- Endoscopy Center, Shandong Public Health Clinical Center, Jinan, China
| | - Lizhi Niu
- Department of Oncology, Fuda Cancer Hospital, Jinan University, Guangzhou, China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw Hospital Affiliated to the Zhejiang University School of Medicine, Hangzhou, China
| | - Shanzhi Gu
- Department of Intervention, Hunan Cancer Hospital, Changsha, China
| | - Qiang Lu
- Department of Thoracic Surgery, Tangdu Hospital, The Air Force Medical University, Xi'an, China
| | - Hui Tian
- Department of Thoracic Surgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Yulong Zhu
- Department of Respiratory Medicine, Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine, Urumqi, China
| | - Guibin Qiao
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Lou Zhong
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China
| | - Zhigang Wei
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Yiping Zhuang
- Department for Interventional Treatment, Jiangsu Cancer Hospital, Nanjing, China
| | - Hongxu Liu
- Department of Thoracic Surgery, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Lingxiao Liu
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lei Liu
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiachang Chi
- Department of Interventional Oncology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qing Sun
- Department of Pathology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Jiayuan Sun
- Respiratory Endoscopy Center and Respiratory Intervention Center, Shanghai Chest Hospital, Shanghai, China
| | - Xichao Sun
- Department of Pathology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Nuo Yang
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Juwei Mu
- Department of Thoracic Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuliang Li
- Department of Interventional Medicine, The Second Hospital Affiliated to Shandong University, Jinan, China
| | - Chengli Li
- Department of Imaging, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Chunhai Li
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoguang Li
- Minimally Invasive Treatment Center, Beijing Hospital, Beijing, China
| | - Kang'an Li
- Department of Radiology, Shanghai General Hospital, Shanghai, China
| | - Po Yang
- Department of Interventional Vascular Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xia Yang
- Department of Oncology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Wuwei Yang
- Department of Oncology, The Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Yueyong Xiao
- Department of Diagnostic Radiology, Chinese PLA General Hospital, Beijing, China
| | - Chao Zhang
- Department of Oncology, Affiliated Qujing Hospital of Kunming Medical University, Qujing, China
| | - Kaixian Zhang
- Department of Oncology, Tengzhou Central People's Hospital, Tengzhou, China
| | - Lanjun Zhang
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Chunfang Zhang
- Department of Thoracic Surgery, Xiangya Hospital of Central South University, Changsha, China
| | - Linyou Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yi Zhang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shilin Chen
- Department for Thoracic Surgery, Jiangsu Cancer Hospital, Nanjing, China
| | - Jun Chen
- Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Kezhong Chen
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Weisheng Chen
- Department of Thoracic Surgery, Cancer Hospital Affiliated to Fujian Medical University, Fuzhou, China
| | - Liang Chen
- Department of Thoracic Surgery, Jiangsu Provincial People's Hospital, Nanjing, China
| | - Haiquan Chen
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jiang Fan
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China
| | - Zhengyu Lin
- Department of Intervention, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Dianjie Lin
- Department of Respiratory and Critical Care, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Lei Xian
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhiqiang Meng
- Minimally Invasive Cancer Treatment Center, Fudan University Shanghai Cancer Hospital, Shanghai, China
| | - Xiaojing Zhao
- Department of Thoracic Surgery, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongtao Hu
- Department of Minimally Invasive Interventional Therapy, Henan Cancer Hospital, Zhengzhou, China
| | - Chen Liu
- Department of Interventional Therapy, Beijing Cancer Hospital, Beijing, China
| | - Cheng Liu
- Department of Imaging, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Wenzhao Zhong
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangzhou, China
| | - Xinshuang Yu
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China
| | - Wenjie Jiao
- Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Weirong Yao
- Department of Radiology, Jiangxi Provincial People's Hospital, Nanchang, China
| | - Feng Yao
- Thoracic Surgery, Shanghai Chest Hospital, Shanghai, China
| | - Chundong Gu
- Department of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Dong Xu
- Department of Ultrasound Medicine, Cancer Hospital, University of Chinese Academy of Sciences, Hangzhou, China
| | - Quan Xu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital, Nanchang, China
| | - Dongjin Ling
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhe Tang
- Department of Hepatobiliary and Pancreatic Surgery, The Fourth Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Yong Huang
- Department of Imaging, Cancer Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Guanghui Huang
- Department of Oncology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhongmin Peng
- Department of Thoracic Surgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Liang Dong
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Lei Jiang
- Department of Radiology, Huadong Sanatorium, Wuxi, China
| | - Junhong Jiang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhaoping Cheng
- Nuclear Medicine-PET Center, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Zhigang Cheng
- Interventional Ultrasound, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Qingshi Zeng
- Department of Imaging, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Yong Jin
- Department of Interventional Therapy, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Guangyan Lei
- Department of Thoracic Surgery, Shaanxi Provincial Cancer Hospital, Xi'an, China
| | - Yongde Liao
- Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qunyou Tan
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Bo Zhai
- Department of Interventional Oncology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hailiang Li
- Department of Minimally Invasive Interventional Therapy, Henan Cancer Hospital, Zhengzhou, China
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Chen Q, Cheng J, Wang L, Lv X, Hu J. Primary lung cancer in children and adolescents. J Cancer Res Clin Oncol 2024; 150:225. [PMID: 38695944 PMCID: PMC11065912 DOI: 10.1007/s00432-024-05750-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 04/11/2024] [Indexed: 05/05/2024]
Abstract
PURPOSE Primary lung cancer is extremely rare in children and adolescents. The aim of this study is to clarify clinical features and outcomes of primary lung cancer in children and adolescents. METHODS Young patients (aged ≤ 20 years) diagnosed as primary lung cancer between 2012 and 2023 were retrospective reviewed. According to radiological appearance of the nodules, they were divided into solid nodule (SN) group and ground glass opacity (GGO) group. RESULTS A total of 74 patients were identified, with a median age at diagnosis of 18 years old (range: 11-20), including 7 patients in SN group and 67 patients in GGO group. In the GGO group, none of the nodules enlarged or changed during an average surveillance period of 10.8 months before surgery, except one. Wedge resection was the most common procedure (82.1%), followed by segmentectomy (16.4%) and lobectomy (1.5%). Histopathological analysis revealed that 64.2% of GGO nodules were adenocarcinoma in situ and minimally invasive adenocarcinomas, while the remaining 35.8% were invasive adenocarcinomas. Mutational analysis was performed in nine patients, with mutations identified in all cases. After a mean follow-up period of 1.73 ± 1.62 years, two patients in the SN group died due to multiple distant metastases, while all patients in the GGO group survived without recurrence. The overall survival (100%) of the GGO group was significantly higher than SN group (66.7%). CONCLUSIONS Primary lung cancer in children and adolescents are rare and histopathological heterogeneous. Persistent GGO nodules may indicate early-stage lung adenocarcinoma in children and adolescents.
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Affiliation(s)
- Qiuming Chen
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Jun Cheng
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Luming Wang
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiayi Lv
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Winter H, Eichhorn M, Eichhorn F, Grott M. [Modern individualized diagnostics and treatment of non-small cell lung cancer]. CHIRURGIE (HEIDELBERG, GERMANY) 2024; 95:280-287. [PMID: 38376521 DOI: 10.1007/s00104-024-02037-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/10/2024] [Indexed: 02/21/2024]
Abstract
Approximately one half of patients with non-small cell lung cancer (NSCLC) are diagnosed at resectable tumor stages (I-IIIA), which can potentially be curatively treated. In the early tumor stages (tumor diameter ≤2 cm) sublobar resection (segmentectomy or atypical wedge resection) leads to a 5‑year long-term survival comparable to lobectomy. The use of immunotherapy, especially within the framework of neoadjuvant treatment, is anticipated to change the surgical treatment of NSCLC in the future. With the introduction of lung cancer screening for certain risk groups in Germany planned for 2024, lung tumors can be expected to be diagnosed at earlier stages and more frequently curatively treated. This article provides an overview of the potential impact of lung cancer screening, modern minimally invasive surgical techniques and neoadjuvant treatment concepts for the surgical treatment of NSCLC.
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Affiliation(s)
- Hauke Winter
- Thoraxchirurgie, Thoraxklinik Heidelberg, Roentgenstraße 1, 69126, Heidelberg, Deutschland.
| | - Martin Eichhorn
- Thoraxchirurgie, Thoraxklinik Heidelberg, Roentgenstraße 1, 69126, Heidelberg, Deutschland
| | - Florian Eichhorn
- Thoraxchirurgie, Thoraxklinik Heidelberg, Roentgenstraße 1, 69126, Heidelberg, Deutschland
| | - Matthias Grott
- Thoraxchirurgie, Thoraxklinik Heidelberg, Roentgenstraße 1, 69126, Heidelberg, Deutschland
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Rong F, Shi R, Hu L, Wang D, Lv X, Zhao Y. Impact of risk perception and disease cognition on the willingness to participate in screening for lung cancer in a high-risk population. Eur J Cancer Prev 2024; 33:141-151. [PMID: 37751366 DOI: 10.1097/cej.0000000000000843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
OBJECTIVE Risk perception and disease cognition may influence the efficiency of lung cancer screening by affecting the participation rate. There is still some uncertainty regarding the association between risk perception and disease cognition and how they affect participation in lung cancer screening. Therefore, we explored the influence of risk perception and disease cognition on the willingness to participate in screening among people at high risk of lung cancer. METHODS Subjects with high-risk factors for lung cancer were recruited in Lu'an City, Anhui Province, China. Questionnaires were used to determine their demographic characteristics, risk perception, disease cognition, and willingness to engage in screening. RESULTS Of the 1955 subjects with high risk factors for lung cancer, 1136 (58.12%) were willing to participate in lung cancer screening. Univariable and multivariable analyses showed that disease cognition ( adj OR = 2.012, 95% CI: 1.528-2.649, P = 0.000), cognitive risk ( adj OR = 7.661, 95% CI: 6.049-9.704, P = 0.000), and affective risk ( adj OR = 5.964, 95% CI: 4.552-7.815, P = 0.000) were significant factors in promoting screening participation. For those with moderate risk perception, improving disease cognition was a key approach to increase screening participation. CONCLUSION This study elucidated the relationship between various factors and lung cancer screening participation and proposed a feasible route for the screening implementation, providing a theoretical basis to further improve the participation rate and efficiency of lung cancer screening.
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Affiliation(s)
- Feng Rong
- Cancer center, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, China
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Pan H, Zou N, Tian Y, Shen Y, Chen H, Zhu H, Zhang J, Jin W, Gu Z, Ning J, Jiang L, Huang J, Luo Q. Robotic Versus Thoracoscopic Sub-lobar Resection for Octogenarians with Clinical Stage IA Non-small Cell Lung Cancer: A Propensity Score-Matched Real-World Study. Ann Surg Oncol 2024; 31:1568-1580. [PMID: 38071721 PMCID: PMC10838251 DOI: 10.1245/s10434-023-14689-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/16/2023] [Indexed: 02/06/2024]
Abstract
BACKGROUND Minimally invasive sub-lobectomy is sufficient in treating small early-stage non-small cell lung cancer (NSCLC). However, comparison of the feasibility and oncologic efficacy between robot-assisted thoracoscopic surgery (RATS) and video-assisted thoracoscopic surgery (VATS) in performing sub-lobectomy for early-stage NSCLC patients age 80 years or older is scarce. METHODS Octogenarians with clinical stage IA NSCLC (tumor size, ≤ 2 cm) undergoing minimally invasive wedge resection or segmentectomy at Shanghai Chest Hospital from 2011 to 2020 were retrospectively reviewed from a prospectively maintained database. Propensity score-matching (PSM) with a RATS versus VATS ratio of 1:4 was performed. Perioperative and long-term outcomes were analyzed. RESULTS The study identified 594 patients (48 RATS and 546 VATS patients), and PSM resulted in 45 cases in the RATS group and 180 cases in the VATS group. The RATS patients experienced less intraoperative bleeding (60 mL [interquartile range (IQR), 50-100 mL] vs. 80 mL [IQR, 50-100 mL]; P = 0.027) and a shorter postoperative hospital stay (4 days [IQR, 3-5 days] vs. 5 days [IQR, 4-6 days]; P = 0.041) than the VATS patients. The two surgical approaches were comparable concerning other perioperative outcomes and postoperative complications (20.00% vs. 26.11%; P = 0.396). Additionally, during a median follow-up period of 66 months, RATS and VATS achieved comparable 5-year overall survival (90.48% vs. 87.93%; P = 0.891), recurrence-free survival (83.37% vs. 83.18%; P = 0.782), and cumulative incidence of death. Further subgroup comparison also demonstrated comparable long-term outcomes between the two approaches. Finally, multivariate Cox analysis indicated that the surgical approach was not independently correlated with long-term outcomes. CONCLUSIONS The RATS approach shortened the postoperative hospital stay, reduced intraoperative bleeding by a statistically notable but clinically insignificant amount, and achieved long-term outcomes comparable with VATS in performing sub-lobectomy for octogenarians with early-stage small NSCLC.
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Affiliation(s)
- Hanbo Pan
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ningyuan Zou
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Tian
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yaofeng Shen
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Hang Chen
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Zhejiang, China
| | - Hongda Zhu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaqi Zhang
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqiu Jin
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zenan Gu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junwei Ning
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Thoracic Surgery, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Long Jiang
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jia Huang
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Qingquan Luo
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Wang H, Chen A, Wang K, Yang H, Wen W, Ren Q, Chen L, Xu X, Zhu Q. CT imaging features of lung ground-glass nodule patients with upgraded intraoperative frozen pathology. Discov Oncol 2024; 15:29. [PMID: 38310621 PMCID: PMC10838864 DOI: 10.1007/s12672-024-00872-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/23/2024] [Indexed: 02/06/2024] Open
Abstract
PURPOSE Intraoperative frozen section pathology (FS) is widely used to guide surgical strategies while the accuracy is relatively low. Underestimating the pathological condition may result in inadequate surgical margins. This study aims to identify CT imaging features related to upgraded FS and develop a predictive model. METHODS Collected data from 860 patients who underwent lung surgery from January to December 2019. We analyzed the consistency rate of FS and categorized the patients into three groups: Group 1 (n = 360) had both FS and Formalin-fixed Paraffin-embedded section (FP) as non-invasive adenocarcinoma (IAC); Group 2 (n = 128) had FS as non-IAC but FP as IAC; Group 3 (n = 372) had both FS and FP as IAC. Clinical baseline characteristics were compared and propensity score adjustment was used to mitigate the effects of these characteristics. Univariate analyses identified imaging features with inter-group differences. A multivariate analysis was conducted to screen independent risk factors for FS upgrade, after which a logistic regression prediction model was established and a receiver operating characteristic (ROC) curve was plotted. RESULTS The consistency rate of FS with FP was 84.19%. 26.67% of the patients with non-IAC FS diagnosis were upgraded to IAC. The predictive model's Area Under Curve (AUC) is 0.785. Consolidation tumor ratio (CTR) ≤ 0.5 and smaller nodule diameter are associated with the underestimation of IAC in FS. CONCLUSION CT imaging has the capacity to effectively detect patients at risk of upstaging during FS.
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Affiliation(s)
- Hongya Wang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Aiping Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Kun Wang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - He Yang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Wei Wen
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Qianrui Ren
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Liang Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Xinfeng Xu
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
| | - Quan Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
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Messa F, Siciliani A, Piccioni G, Leonardi B, Ciccone AM, D'Andrilli A, Andreetti C, Menna C, Vanni C, Baccarini AE, Tiracorrendo M, Mancini M, Vecchione A, Nocera A, Calabrese G, Meacci E, Margaritora S, Natale G, Fiorelli A, Venuta F, Rendina EA, Maurizi G, Ibrahim M. Prognostic Factors of Non-Predominant-Lepidic Lung Adenocarcinoma Presenting as Ground Glass Opacity: Results of a Multicenter Study. J Pers Med 2024; 14:153. [PMID: 38392586 PMCID: PMC10890132 DOI: 10.3390/jpm14020153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/22/2024] [Accepted: 01/28/2024] [Indexed: 02/24/2024] Open
Abstract
This study aims to define the clinicopathological characteristics and prognosis of non-predominant lepidic invasive adenocarcinoma presenting as Ground Glass Opacity (GGO) nodules. The goal is to assess statistical relationships between histology, tumor size, location, and the incidence of relapse and lymph node dissemination. A retrospective multicenter study was conducted, including patients with GGO observed on CT scans between 2003 and 2021. Anamnestic, radiological, and histological data, as well as SUV values, lymphatic and vascular invasion, pathological stage, resection type, and adjuvant treatment, were analyzed. The primary endpoints were to evaluate prognostic factors for death and recurrence using Cox regression analysis. All 388 patients, including 277 with non-predominant lepidic invasive adenocarcinoma and 161 with lepidic adenocarcinoma, underwent curative anatomical resection. Non-predominant lepidic invasive adenocarcinoma demonstrated a worse prognosis than lepidic adenocarcinoma (p = 0.001). Independent prognostic factors for death and recurrence included lymph node involvement (p = 0.002) and vascular and lymphatic invasion (p < 0.001). In conclusion, non-predominant lepidic invasive adenocarcinoma and lymphatic and vascular invasion are prognostic factors for death and recurrence in GGO patients. Results suggest adjuvant treatment in the case of pN1-N2 disease, emphasizing the necessity of lymphadenectomy (sampling or systematic) for accurate staging and subsequent therapeutic procedures.
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Affiliation(s)
- Fabiana Messa
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Alessandra Siciliani
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Giorgia Piccioni
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Beatrice Leonardi
- Thoracic Surgery Unit, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Anna Maria Ciccone
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Antonio D'Andrilli
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Claudio Andreetti
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Cecilia Menna
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Camilla Vanni
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Alberto Emiliano Baccarini
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Matteo Tiracorrendo
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Massimiliano Mancini
- Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, 00189 Rome, Italy
| | - Andrea Vecchione
- Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, 00189 Rome, Italy
| | - Adriana Nocera
- Division of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Giuseppe Calabrese
- Division of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Elisa Meacci
- Division of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Stefano Margaritora
- Division of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Giovanni Natale
- Thoracic Surgery Unit, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Alfonso Fiorelli
- Thoracic Surgery Unit, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Federico Venuta
- Division of Thoracic Surgery, Policlinico Umberto I, Sapienza University, 00161 Rome, Italy
| | - Erino Angelo Rendina
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Giulio Maurizi
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Mohsen Ibrahim
- Department of Thoracic Surgery, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189 Rome, Italy
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Guo M, Cao Z, Huang Z, Hu S, Xiao Y, Ding Q, Liu Y, An X, Zheng X, Zhang S, Zhang G. The value of CT shape quantification in predicting pathological classification of lung adenocarcinoma. BMC Cancer 2024; 24:35. [PMID: 38178062 PMCID: PMC10768264 DOI: 10.1186/s12885-023-11802-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/27/2023] [Indexed: 01/06/2024] Open
Abstract
OBJECTIVE To evaluate whether quantification of lung GGN shape is useful in predicting pathological categorization of lung adenocarcinoma and guiding the clinic. METHODS 98 patients with primary lung adenocarcinoma were pathologically confirmed and CT was performed preoperatively, and all lesions were pathologically ≤ 30 mm in size. On CT images, we measured the maximum area of the lesion's cross-section (MA). The longest diameter of the tumor (LD) was marked with points A and B, and the perpendicular diameter (PD) was marked with points C and D, which was the longest diameter perpendicular to AB. and D, which was the longest diameter perpendicular to AB. We took angles A and B as big angle A (BiA) and small angle A (SmA). We measured the MA, LD, and PD, and for analysis we derived the LD/PD ratio and the BiA/SmA ratio. The data were analysed using the chi-square test, t-test, ROC analysis, and binary logistic regression analysis. RESULTS Precursor glandular lesions (PGL) and microinvasive adenocarcinoma (MIA) were distinguished from invasive adenocarcinoma (IAC) by the BiA/SmA ratio and LD, two independent factors (p = 0.007, p = 0.018). Lung adenocarcinoma pathological categorization was indicated by the BiA/SmA ratio of 1.35 and the LD of 11.56 mm with sensitivity of 81.36% and 71.79%, respectively; specificity of 71.79% and 74.36%, respectively; and AUC of 0.8357 (95% CI: 0.7558-0.9157, p < 0.001), 0.8666 (95% CI: 0.7866-0.9465, p < 0.001), respectively. In predicting the pathological categorization of lung adenocarcinoma, the area under the ROC curve of the BiA/SmA ratio combined with LD was 0.9231 (95% CI: 0.8700-0.9762, p < 0.001), with a sensitivity of 81.36% and a specificity of 89.74%. CONCLUSIONS Quantification of lung GGN morphology by the BiA/SmA ratio combined with LD could be helpful in predicting pathological classification of lung adenocarcinoma.
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Affiliation(s)
- Mingjie Guo
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Zhan Cao
- Department of Neurology, The Fifth Affiliated Hospital of Zhengzhou University, 450000, Zhengzhou, China
| | - Zhichao Huang
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Shaowen Hu
- Department of Clinical Medicine, Medical School of Henan University, Kaifeng, China
| | - Yafei Xiao
- Department of Clinical Medicine, Medical School of Henan University, Kaifeng, China
| | - Qianzhou Ding
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Yalong Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Xiaokang An
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Xianjie Zheng
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Shuanglin Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China
| | - Guoyu Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Henan University, Longting District, 475000, Kaifeng, Henan Province, China.
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Hong MP, Zhang R, Fan SJ, Liang YT, Cai HJ, Xu MS, Zhou B, Li LS. Interpretable CT radiomics model for invasiveness prediction in patients with ground-glass nodules. Clin Radiol 2024; 79:e8-e16. [PMID: 37833141 DOI: 10.1016/j.crad.2023.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023]
Abstract
AIM To evaluate the performance of an interpretable computed tomography (CT) radiomic model in predicting the invasiveness of ground-glass nodules (GGNs). MATERIALS AND METHODS The study was conducted retrospectively from 1 August 2017 to 1 August 2022, at three different centres. Two hundred and thirty patients with GGNs were enrolled at centre I as a training cohort. Centres II (n=157) and III (n=156) formed two external validation cohorts. Radiomics features extracted based on CT were reduced by a coarse-fine feature screening strategy. A radiomic model was developed through the use of the LASSO (least absolute shrinkage and selection operator) and XGBoost algorithms. Then, a radiological model was established through multivariate logistic regression analysis. Finally, the interpretability of the model was explored using SHapley Additive exPlanations (SHAP). RESULTS The radiomic XGBoost model outperformed the radiomic logistic model and radiological model in assessing the invasiveness of GGNs. The area under the curve (AUC) values for the radiomic XGBoost model were 0.885 (95% confidence interval [CI] 0.836-0.923), 0.853 (95% CI 0.790-0.906), and 0.838 (95% CI 0.773-0.902) in the training and the two external validation cohorts, respectively. The SHAP method allowed for both a quantitative and visual representation of how decisions were made using a given model for each individual patient. This can provide a deeper understanding of the decision-making mechanisms within the model and the factors that contribute to its prediction effectiveness. CONCLUSIONS The present interpretable CT radiomics model has the potential to preoperatively evaluate the invasiveness of GGNs. Furthermore, it can provide personalised, image-based clinical-decision support.
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Affiliation(s)
- M P Hong
- Department of Radiology, Jiaxing TCM Hospital Affiliated to Zhejiang Chinese Medical University, Jiaxing, China
| | - R Zhang
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, China
| | - S J Fan
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Y T Liang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - H J Cai
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - M S Xu
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
| | - B Zhou
- Department of Radiology, Jiaxing TCM Hospital Affiliated to Zhejiang Chinese Medical University, Jiaxing, China.
| | - L S Li
- Department of Radiology, Jiaxing TCM Hospital Affiliated to Zhejiang Chinese Medical University, Jiaxing, China.
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Liakhovskyi VI, Krasnov OH, Lysenko RB, Lіakhovska AV, Horodova-Andrieieva TV, Lyakhova NO, Krasnova OI. Clinical anatomy of pulmonary connections in young people. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2024; 77:241-246. [PMID: 38592984 DOI: 10.36740/wlek202402108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
OBJECTIVE Aim: To study the clinical anatomy of the pulmonary ligaments of young people. PATIENTS AND METHODS Materials and Methods: The study was carried out when performing 28 autopsies of young people aged 25 to 44 years. Methods of dissection of chest organocomplexes, macro-microscopy, morphometry and planimetry, and statistical processing were used. The shape and topography of the pulmonary ligaments was assessed, their area, the localization of lymph nodes was examined. RESULTS Results: The pulmonary ligament is an anatomical formation, which is formed as a result of a combination of leaves of the mediastinal pleura, which, covering the surfaces of the roots of the lungs, descend towards the diaphragm and are located between the mediastinal organs and the lungs. Pulmonary connections on both sides have a few edges: the inner, outer and lower free. The pulmonary ligaments with lower free edges do not pass to the diaphragmatic surface of the pleura, but only with inner ones, which are located on the right along the esophagus, and on the left along the aorta. Pulmonary ligaments on both sides pass into the mediastinal part of the pleura, covering the pericardium. CONCLUSION Conclusions: There are individual differences between the shape and size of the right and left pulmonary ligaments in males and females. There is no significant difference between the sizes of the right and left pulmonary ligaments, but such dimensions as: the width, the angle of inclination and the ratio of their lower free edge to the lower edge of the lungs are not found in all cases.
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Fu BJ, Zhang XC, Lv FJ, Chu ZG. Potential Role of Intrapulmonary Concomitant Lesions in Differentiating Non-Neoplastic and Neoplastic Ground Glass Nodules. J Inflamm Res 2023; 16:6155-6166. [PMID: 38107382 PMCID: PMC10725751 DOI: 10.2147/jir.s437419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 12/06/2023] [Indexed: 12/19/2023] Open
Abstract
Purpose To determine the value of intrapulmonary concomitant lesions in differentiating non-neoplastic and neoplastic ground-glass nodules (GGNs). Patients and Methods From January 2014 to March 2022, 395 and 583 patients with confirmed non-neoplastic and neoplastic GGNs were retrospectively enrolled. Their clinical and chest CT data were evaluated. The CT features of target GGNs and intrapulmonary concomitant lesions in these two groups were analyzed and compared, and the role of intrapulmonary concomitant lesions in improving differentiation was evaluated. Results The intrapulmonary concomitant lesions were more common in patients with non-neoplastic GGNs than in those with neoplastic ones (87.88% vs 82.18%, P = 0.015). Specifically, patients with non-neoplastic GGNs had a higher incidence of multiple solid nodules (SNs), patchy ground-glass opacity/consolidation, and fibrosis/calcification in any lung fields (each P < 0.05). Logistic regression analysis indicated that patients < 44 years old, diameter < 7.35 mm, irregular shape, and coarse margin or ill-defined boundary for target GGN, pleural thickening, and concomitant SNs in the same lobe and fibrosis or calcification in any lung field were independent indicators for predicting non-neoplastic GGNs. The AUC of the model for predicting non-neoplastic GGNs increased from 0.894 to 0.926 (sensitivity, 83.10%; specificity, 87.10%) after including the concomitant lesions in the patients' clinical characteristics and CT features of target GGNs (P < 0.0001). Conclusion Besides the patients' clinical characteristics and CT features of target GGNs, the concomitant multiple SNs in the same lobe and fibrosis/calcification in any lung field should be considered in further differentiating non-neoplastic and neoplastic GGNs.
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Affiliation(s)
- Bin-Jie Fu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Xiao-Chuan Zhang
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- Department of Radiology, Chonggang General Hospital, Chongqing, People’s Republic of China
| | - Fa-Jin Lv
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Zhi-Gang Chu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
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Yang Y, Xie Z, Hu H, Yang G, Zhu X, Yang D, Niu Z, Mao G, Shao M, Wang J. Using CT imaging features to predict visceral pleural invasion of non-small-cell lung cancer. Clin Radiol 2023; 78:e909-e917. [PMID: 37666721 DOI: 10.1016/j.crad.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 09/06/2023]
Abstract
AIM To examine the diagnostic performance of different models based on computed tomography (CT) imaging features in differentiating the invasiveness of non-small-cell lung cancer (NSCLC) with multiple pleural contact types. MATERIALS AND METHODS A total of 1,573 patients with NSCLC (tumour size ≤3 cm) were included retrospectively. The clinical and pathological data and preoperative imaging features of these patients were investigated and their relationships with visceral pleural invasion (VPI) were compared statistically. Multivariate logistic regression was used to eliminate confounding factors and establish different predictive models. RESULTS By univariate analysis and multivariable adjustment, surgical history, tumour marker (TM), number of pleural tags, length of solid contact and obstructive inflammation were identified as independent risk predictors of pleural invasiveness (p=0.014, 0.003, <0.001, <0.001, and 0.017, respectively). In the training group, comparison of the diagnostic efficacy between the combined model including these five independent predictors and the image feature model involving the latter three imaging predictors were as follows: sensitivity of 88.9% versus 77% and specificity of 73.5% versus 84.1%, with AUC of 0.868 (95% CI: 0.848-0.886) versus 0.862 (95% CI: 0.842-0.880; p=0.377). In the validation group, the sensitivity and specificity of these two models were as follow: the combined model, 93.5% and 74.3%, the imaging feature model, 77.4% and 81.3%, and their areas under the curve (AUCs) were both 0.884 (95% CI: 0.842-0.919). The best cut-off value of length of solid contact was 7.5 mm (sensitivity 68.9%, specificity 75.5%). CONCLUSIONS The image feature model showed great potential in predicting pleural invasiveness, and had comparable diagnostic efficacy compared with the combined model containing clinical data.
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Affiliation(s)
- Y Yang
- Department of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Z Xie
- Department of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - H Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yang
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - X Zhu
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - D Yang
- Department of Radiology, Taizhou Municipal Hospital, Taizhou, China
| | - Z Niu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Mao
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - M Shao
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - J Wang
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
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Jiang S, Wang B, Zhang M, Liu Z, Xiao Z, Gong J, Wang X, Zhang Z, Zhang Z. Quality of life after lung cancer surgery: sublobar resection versus lobectomy. BMC Surg 2023; 23:353. [PMID: 37980480 PMCID: PMC10657598 DOI: 10.1186/s12893-023-02259-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 11/06/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND This study aimed to compare the postoperative quality of life (PQOL) between non-small-cell lung cancer (NSCLC) patients who underwent video-assisted thoracoscopic sublobar resection (subsegment, segment, or wedge) and lobectomy. Meanwhile, we developed a PQOL scale for patients with NSCLC after optimization. METHODS Developing and evaluating the postoperative quality-of-life scale of non-small-cell lung cancer (NSCLC-PQOL) followed by the international principles for developing quality-of-life scale. Therefore, we used the NSCLC-PQOL scale to evaluate the PQOL of patients who underwent different surgeries. RESULTS The overall PQOL of patients who underwent video-assisted thoracoscopic lobectomy and sublobar resection gradually worsened from discharge to 3 months postoperatively and progressively improved from three to 6 months postoperatively. And the sublobar resection group showed better PQOL in chest tightness, breath shortness, breathlessness, cough and expectoration than the lobectomy group, and the differences were statistically significant (P < 0.05). The final version of the NSCLC-PQOL contained three dimensions: "signs-symptoms", "psychological and psychiatric", and "social-life" dimensions. CONCLUSIONS The sublobar resection group showed better PQOL in "chest tightness", "breath shortness", "breathlessness", "cough", and "expectoration" than the lobectomy group. Twenty-two items formed a well-behaved PQOL scale after being validated satisfactorily. The scale was a suitable rating tool for evaluating the NSCLC-PQOL of patients. TRIAL REGISTRATION As this study was a retrospective study and not a clinical trial, we did not register this study in the Chinese Clinical Trial Registry.
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Affiliation(s)
- Shuai Jiang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Bao Wang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Mengzhe Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Zuo Liu
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Zengtuan Xiao
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Jialin Gong
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Xiaofei Wang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Zhenning Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China
| | - Zhenfa Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, 1 Huanhu West Road, Tianjin, 300020, China.
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Minamoto FEN, Mendes GF, Campos JRMD, Garcia RG, Terra RM. Robot-assisted thoracoscopic surgery resection of a ground-glass nodule in the right middle lobe. J Bras Pneumol 2023; 49:e20230150. [PMID: 37991070 PMCID: PMC10760428 DOI: 10.36416/1806-3756/e20230150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023] Open
Affiliation(s)
- Fabio Eiti Nishibe Minamoto
- . Hospital Israelita Albert Einstein, São Paulo (SP) Brasil
- . Divisão de Cirurgia Torácica, Instituto do Coração - InCor - Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil
| | | | - José Ribas Milanez de Campos
- . Hospital Israelita Albert Einstein, São Paulo (SP) Brasil
- . Divisão de Cirurgia Torácica, Instituto do Coração - InCor - Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil
| | | | - Ricardo Mingarini Terra
- . Hospital Israelita Albert Einstein, São Paulo (SP) Brasil
- . Divisão de Cirurgia Torácica, Instituto do Coração - InCor - Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil
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Ge Y, Pan J, Sun T, Feng S, Zhang C, Zhang H. Evaluation of pain levels treated by the distal end of the hook-wire positioning needle: A randomized controlled study. Thorac Cancer 2023; 14:3342-3347. [PMID: 37814475 PMCID: PMC10665777 DOI: 10.1111/1759-7714.15129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 09/25/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Severe pain can be expected among adult patients undergoing hook-wire CT-guided localization of pulmonary nodules. We compared varying pain degrees between two different treatment techniques. METHODS Data from 100 patients who underwent hook-wire puncture localization under preoperative CT between May 2022 and October 2022 were prospectively reviewed. Using the random number table method, the patients were assigned to an observation and control group in a 1:1 ratio. In the observation group (n = 50), the external part of the hook-wire positioning needle was cut off; in the control group (n = 50), the external portion of the needle was bent. Static pain scores were measured using the visual analog scale (VAS) at 30 min, 1, and 2 h post localization for patients. RESULTS No significant differences were present between the two groups in terms of patient age, sex, nodule size, and nodule location. The observation group had lower VAS scores at 30 min (2.57 ± 1.38 vs. 3.51 ± 1.87 p = 0.005), 1 h (2.43 ± 1.14 vs. 3.33 ± 1.76 p = 0.003), and 2 h (2.41 ± 1.12 vs. 3.17 ± 1.74 p = 0.011) after localization. Moreover, the pain level did not gradually worsen in either group. Both groups had a 100% localization success rate. There was no statistically significant difference (p = 0.431) in the localized complication incidences between the two groups. CONCLUSIONS We found both approaches for handling the hook-wire extending outside the chest to be safe and effective. However, cutting off the hook-wire extending outside the chest is associated with lesser pain. Moreover, pain severity does not worsen with time after localization.
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Affiliation(s)
- Yong Ge
- Thoracic Surgery LaboratoryXuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Jiajian Pan
- Thoracic Surgery LaboratoryXuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Teng Sun
- Thoracic Surgery LaboratoryXuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Shoujie Feng
- Thoracic Surgery LaboratoryXuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Cheng Zhang
- Thoracic Surgery LaboratoryXuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Hao Zhang
- Thoracic Surgery LaboratoryXuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
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Ye T, Wu H, Wang S, Li Q, Gu Y, Ma J, Lin J, Kang M, Qian B, Hu H, Zhang Y, Sun Y, Zhang Y, Xiang J, Li Y, Shen X, Wang Z, Chen H. Radiologic Identification of Pathologic Tumor Invasion in Patients With Lung Adenocarcinoma. JAMA Netw Open 2023; 6:e2337889. [PMID: 37843862 PMCID: PMC10580106 DOI: 10.1001/jamanetworkopen.2023.37889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 08/28/2023] [Indexed: 10/17/2023] Open
Abstract
Importance It is currently unclear whether high-resolution computed tomography can preoperatively identify pathologic tumor invasion for ground-glass opacity lung adenocarcinoma. Objectives To evaluate the diagnostic value of high-resolution computed tomography for identifying pathologic tumor invasion for ground-glass opacity featured lung tumors. Design, Setting, and Participants This prospective, multicenter diagnostic study enrolled patients with suspicious malignant ground-glass opacity nodules less than or equal to 30 mm from November 2019 to July 2021. Thoracic high-resolution computed tomography was performed, and pathologic tumor invasion (invasive adenocarcinoma vs adenocarcinoma in situ or minimally invasive adenocarcinoma) was estimated before surgery. Pathologic nonadenocarcinoma, benign diseases, or those without surgery were excluded from analyses; 673 patients were recruited, and 620 patients were included in the analysis. Statistical analysis was performed from October 2021 to January 2022. Exposure Patients were grouped according to pathologic tumor invasion. Main Outcomes and Measures Primary end point was diagnostic yield for pathologic tumor invasion. Secondary end point was diagnostic value of radiologic parameters. Results Among 620 patients (442 [71.3%] female; mean [SD] age, 53.5 [12.0] years) with 622 nodules, 287 (46.1%) pure ground-glass opacity nodules and 335 (53.9%) part-solid nodules were analyzed. The median (range) size of nodules was 12.1 (3.8-30.0) mm; 47 adenocarcinomas in situ, 342 minimally invasive adenocarcinomas, and 233 invasive adenocarcinomas were confirmed. Overall, diagnostic accuracy was 83.0% (516 of 622; 95% CI, 79.8%-85.8%), diagnostic sensitivity was 82.4% (192 of 233; 95% CI, 76.9%-87.1%), and diagnostic specificity was 83.3% (324 of 389; 95% CI, 79.2%-86.9%). For tumors less than or equal to 10 mm, 3.6% (8 of 224) were diagnosed as invasive adenocarcinomas. The diagnostic accuracy was 96.0% (215 of 224; 95% CI, 92.5%-98.1%), diagnostic specificity was 97.2% (210 of 216; 95% CI, 94.1%-99.0%); for tumors greater than 20 mm, 6.9% (6 of 87) were diagnosed as adenocarcinomas in situ or minimally invasive adenocarcinomas. The diagnostic accuracy was 93.1% (81 of 87; 95% CI, 85.6%-97.4%) and diagnostic sensitivity was 97.5% (79 of 81; 95% CI, 91.4%-99.7%). For tumors between 10 to 20 mm, the diagnostic accuracy was 70.7% (220 of 311; 95% CI, 65.3%-75.7%), diagnostic sensitivity was 75.0% (108 of 144; 95% CI, 67.1%-81.8%), and diagnostic specificity was 67.1% (112 of 167; 95% CI, 59.4%-74.1%). Tumor size (odds ratio, 1.28; 95% CI, 1.18-1.39) and solid component size (odds ratio, 1.31; 95% CI, 1.22-1.42) could each independently serve as identifiers of pathologic invasive adenocarcinoma. When the cutoff value of solid component size was 6 mm, the diagnostic sensitivity was 84.6% (95% CI, 78.8%-89.4%) and specificity was 82.9% (95% CI, 75.6%-88.7%). Conclusions and relevance In this diagnostic study, radiologic analysis showed good performance in identifying pathologic tumor invasion for ground-glass opacity-featured lung adenocarcinoma, especially for tumors less than or equal to 10 mm and greater than 20 mm; these results suggest that a solid component size of 6 mm could be clinically applied to distinguish pathologic tumor invasion.
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Affiliation(s)
- Ting Ye
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Haoxuan Wu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shengping Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qiao Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yajia Gu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Junjie Ma
- Department of Thoracic Surgery, The Second Hospital of Liaocheng Affiliated to Shandong First Medical University, Linqing, Shandong Province, China
| | - Jihong Lin
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Mingqiang Kang
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Bin Qian
- Department of Thoracic Surgery, Jiangdu People’s Hospital of Yangzhou, Yangzhou, Jiangsu Province, China
| | - Hong Hu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Zhang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yihua Sun
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yawei Zhang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiaqing Xiang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuan Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xuxia Shen
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zezhou Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Haiquan Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Yu S, Li W, Liu X, Chen X, He X, Duan X, Zhang N, Yan Z, Zhang L. Application value of CT-guided localization using a coil in combination with medical adhesive in sublobar resection. Clin Transl Oncol 2023; 25:2931-2937. [PMID: 37020165 DOI: 10.1007/s12094-023-03156-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 03/14/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE To explore the application value of CT-guided localization using a coil in combination with medical adhesive in sublobar resection. METHODS The clinical data of 90 patients who had small pulmonary nodules and received thoracoscopic sublobar resection during the period from September 2021 to October 2022 in the Department of Thoracic Surgery, Juxian People's Hospital, Shandong Province, were retrospectively analyzed. RESULTS The diameters of 95 pulmonary nodules in the 90 patients in the whole group ranged from 0.40 to 1.24 cm, and their distances from the visceral pleura ranged from 0.51 to 2.15 cm. In these patients, percutaneous lung puncture was successfully performed under local anesthesia, through which coils were implanted in the nodules and medical adhesive was injected around the nodules, with a success rate of localization of 100%. Localization complications included 10 cases of asymptomatic pneumothorax, 9 cases of intrapulmonary hemorrhage, 5 cases of severe pain, and 1 case of pleural reaction, all of which required no special treatment. After preoperative localization, the success rate of resection of pulmonary nodules was 100%, and sufficient surgical margins were obtained. CONCLUSION CT-guided localization using a coil in combination with medical adhesive is a safe, effective, and simple localization method that can meet the requirements of thoracic surgeons for intraoperative localization; for small pulmonary nodules, especially those small-sized and deep-located ground-glass nodules containing few solid mass, this method has important clinical application value, which is a preoperative localization technique worthy of wide application in clinical practice.
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Affiliation(s)
- Shanhai Yu
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Wei Li
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Xiangding Liu
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Xiuguo Chen
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Xiaolong He
- Department of Interventional Medicine, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Xianling Duan
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Nianxin Zhang
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Zhizhong Yan
- Department of Thoracic Surgery, Juxian People's Hospital, Rizhao, 276599, Shandong, China
| | - Liwei Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, 137 South Liyushan Road, Xinshi District, Ürümqi, 830054, Xinjiang Uygur Autonomous Region, China.
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Huang X, Lu Z, Jiang X, Zhang Z, Yan K, Yu G. Single-cell RNA sequencing reveals distinct tumor microenvironment of ground glass nodules and solid nodules in lung adenocarcinoma. Front Cell Dev Biol 2023; 11:1198338. [PMID: 37745301 PMCID: PMC10513029 DOI: 10.3389/fcell.2023.1198338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 08/04/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction: Lung adenocarcinoma (LUAD) is the most prevalent lung cancer. LUAD presents as ground glass nodules (GGN) and solid nodules (SN) in imaging studies. GGN is an early type of LUAD with good prognosis. However, SN exhibits a more malignant behavior than GGN, including worse pathological staging and tumor prognosis. The mechanism leading to the different malignancy levels of GGN and SN remains elusive. Methods: Three patients with GGN and three patients with SN diagnosed with early LUAD were enrolled. The tumor samples were digested to a single-cell suspension and analyzed using 10× Genomic Single-cell ribonucleic acid sequences (scRNA-seq) techniques. Results: A total of 15,902 cells were obtained and classified into nine major types. The tumor microenvironment (TME) was subsequently described in detail. ScRNA-seq revealed that ribosome-related pathways and cell adhesion played similar but distinct roles in the two groups. SN also had more active cell proliferation, enriched cell cycle regulatory pathways, and severe inflammatory responses. Conclusion: We observed changes in the cellular composition and transcriptomic profile of GGN and SN. The study improved the understanding of the underlying mechanisms of lung carcinogenesis and contributed to lung cancer prevention and treatment.
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Affiliation(s)
| | | | | | | | | | - Guiping Yu
- Department of Cardiothoracic Surgery, Jiangyin Clinical College of Xuzhou Medical University, Jiangyin, China
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Zhao B, Wang X, Sun K, Kang H, Zhang K, Yin H, Liu K, Xiao Y, Liu S. Correlation Between Intranodular Vessels and Tumor Invasiveness of Lung Adenocarcinoma Presenting as Ground-glass Nodules: A Deep Learning 3-Dimensional Reconstruction Algorithm-based Quantitative Analysis on Noncontrast Computed Tomography Images. J Thorac Imaging 2023; 38:297-303. [PMID: 37531613 DOI: 10.1097/rti.0000000000000731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
PURPOSE To evaluate the role of quantitative features of intranodular vessels based on deep learning in distinguishing pulmonary adenocarcinoma invasiveness. MATERIALS AND METHODS This retrospective study included 512 confirmed ground-glass nodules from 474 patients with 241 precursor glandular lesions (PGL), 126 minimally invasive adenocarcinomas (MIA), and 145 invasive adenocarcinomas (IAC). The pulmonary blood vessels were reconstructed on noncontrast computed tomography images using deep learning-based region-segmentation and region-growing techniques. The presence of intranodular vessels was evaluated based on the automatic calculation of vessel prevalence, vascular categories, and vessel volume percentage. Further comparisons were made between different invasive groups by the Mantel-Haenszel χ 2 test, χ 2 test, and analysis of variance. RESULTS The detection rate of intranodular vessels in PGL (33.2%) was significantly lower than that of MIA (46.8%, P = 0.011) and IAC (55.2%, P < 0.001), while the vascular categories were similar (all P > 0.05). Vascular changes were more common in IAC and MIA than in PGL, mainly in increased vessel volume percentage (12.4 ± 19.0% vs. 6.3 ± 13.1% vs. 3.9 ± 9.4%, P < 0.001). The average intranodular artery and vein volume percentage of IAC (7.5 ± 14.0% and 5.0 ± 10.1%) was higher than that of PGL (2.1 ± 6.9% and 1.7 ± 5.8%) and MIA (3.2 ± 9.1% and 3.1 ± 8.7%), with statistical significance (all P < 0.05). CONCLUSIONS The quantitative analysis of intranodular vessels on noncontrast computed tomography images demonstrated that the ground-glass nodules with increased internal vessel prevalence and volume percentages had higher possibility of tumor invasiveness.
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Affiliation(s)
- Baolian Zhao
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai
| | - Xiang Wang
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai
| | - Ke Sun
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai
| | - Han Kang
- Institute of Advanced Research, Infervision Medical Technology Co. Ltd, Ocean International Center, Beijing, China
| | - Kai Zhang
- Institute of Advanced Research, Infervision Medical Technology Co. Ltd, Ocean International Center, Beijing, China
| | - Hongkun Yin
- Institute of Advanced Research, Infervision Medical Technology Co. Ltd, Ocean International Center, Beijing, China
| | - Kai Liu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai
| | - Yi Xiao
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai
| | - Shiyuan Liu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai
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Mu J, Huang J, Ao M, Li W, Jiang L, Yang L. Advances in diagnosis and prediction for aggression of pure solid T1 lung cancer. PRECISION CLINICAL MEDICINE 2023; 6:pbad020. [PMID: 38025970 PMCID: PMC10680022 DOI: 10.1093/pcmedi/pbad020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/07/2023] [Indexed: 12/01/2023] Open
Abstract
A growing number of early-stage lung cancers presenting as malignant pulmonary nodules have been diagnosed because of the increased adoption of low-dose spiral computed tomography. But pure solid T1 lung cancer with ≤3 cm in the greatest dimension is not always at an early stage, despite its small size. This type of cancer can be highly aggressive and is associated with pathological involvement, metastasis, postoperative relapse, and even death. However, it is easily misdiagnosed or delay diagnosed in clinics and thus poses a serious threat to human health. The percentage of nodal or extrathoracic metastases has been reported to be >20% in T1 lung cancer. As such, understanding and identifying the aggressive characteristics of pure solid T1 lung cancer is crucial for prevention, diagnosis, and therapeutic strategies, and beneficial to improving the prognosis. With the widespread of lung cancer screening, these highly invasive pure solid T1 lung cancer will become the main advanced lung cancer in future. However, there is limited information regarding precision medicine on how to identify these "early-stage" aggressive lung cancers. To provide clinicians with new insights into early recognition and intervention of the highly invasive pure solid T1 lung cancer, this review summarizes its clinical characteristics, imaging, pathology, gene alterations, immune microenvironment, multi-omics, and current techniques for diagnosis and prediction.
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Affiliation(s)
- Junhao Mu
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jing Huang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Min Ao
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Weiyi Li
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Jiang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Yang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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