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Predicting exploratory thoracotomy in non-small cell lung cancer: a computed tomography based nomogram approach
by
Mei, Longyong
, Zhang, Letian
, Guo, Guangkuo
, Deng, Bo
, Dai, Fuqiang
, Feng, Yonggeng
, Mao, Chengyi
, Hao, Zipeng
, Wang, Xintian
in
Adult
/ Aged
/ Analysis
/ Archives & records
/ Biomedical and Life Sciences
/ Biomedicine
/ Blood vessels
/ Cancer Research
/ Cancer therapies
/ Carcinoma, Non-Small-Cell Lung - diagnostic imaging
/ Carcinoma, Non-Small-Cell Lung - mortality
/ Carcinoma, Non-Small-Cell Lung - pathology
/ Carcinoma, Non-Small-Cell Lung - surgery
/ Care and treatment
/ Chemotherapy
/ Computed tomography
/ CT imaging
/ Datasets
/ Diagnosis
/ Exploratory thoracotomy
/ Female
/ Genomics
/ Health aspects
/ Health Promotion and Disease Prevention
/ Humans
/ Immunotherapy
/ Long-term prognosis
/ Lung cancer
/ Lung cancer, Non-small cell
/ Lung cancer, Small cell
/ Lung Neoplasms - diagnostic imaging
/ Lung Neoplasms - mortality
/ Lung Neoplasms - pathology
/ Lung Neoplasms - surgery
/ Male
/ Medical prognosis
/ Medicine/Public Health
/ Middle Aged
/ Neoadjuvant Therapy
/ Nomograms
/ Nomography (Mathematics)
/ Non-small cell lung cancer
/ Non-small cell lung carcinoma
/ Oncology
/ Ostomy
/ Patient outcomes
/ Predictive monogram model
/ Prognosis
/ Public health
/ Pulmonary arteries
/ Radiation therapy
/ Radiomics
/ Regression analysis
/ Retrospective Studies
/ Risk assessment
/ Risk Factors
/ Small cell lung carcinoma
/ Software
/ Surgeons
/ Surgical Oncology
/ Thoracotomy
/ Thoracotomy - methods
/ Tomography
/ Tomography, X-Ray Computed - methods
/ Tumors
2025
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Predicting exploratory thoracotomy in non-small cell lung cancer: a computed tomography based nomogram approach
by
Mei, Longyong
, Zhang, Letian
, Guo, Guangkuo
, Deng, Bo
, Dai, Fuqiang
, Feng, Yonggeng
, Mao, Chengyi
, Hao, Zipeng
, Wang, Xintian
in
Adult
/ Aged
/ Analysis
/ Archives & records
/ Biomedical and Life Sciences
/ Biomedicine
/ Blood vessels
/ Cancer Research
/ Cancer therapies
/ Carcinoma, Non-Small-Cell Lung - diagnostic imaging
/ Carcinoma, Non-Small-Cell Lung - mortality
/ Carcinoma, Non-Small-Cell Lung - pathology
/ Carcinoma, Non-Small-Cell Lung - surgery
/ Care and treatment
/ Chemotherapy
/ Computed tomography
/ CT imaging
/ Datasets
/ Diagnosis
/ Exploratory thoracotomy
/ Female
/ Genomics
/ Health aspects
/ Health Promotion and Disease Prevention
/ Humans
/ Immunotherapy
/ Long-term prognosis
/ Lung cancer
/ Lung cancer, Non-small cell
/ Lung cancer, Small cell
/ Lung Neoplasms - diagnostic imaging
/ Lung Neoplasms - mortality
/ Lung Neoplasms - pathology
/ Lung Neoplasms - surgery
/ Male
/ Medical prognosis
/ Medicine/Public Health
/ Middle Aged
/ Neoadjuvant Therapy
/ Nomograms
/ Nomography (Mathematics)
/ Non-small cell lung cancer
/ Non-small cell lung carcinoma
/ Oncology
/ Ostomy
/ Patient outcomes
/ Predictive monogram model
/ Prognosis
/ Public health
/ Pulmonary arteries
/ Radiation therapy
/ Radiomics
/ Regression analysis
/ Retrospective Studies
/ Risk assessment
/ Risk Factors
/ Small cell lung carcinoma
/ Software
/ Surgeons
/ Surgical Oncology
/ Thoracotomy
/ Thoracotomy - methods
/ Tomography
/ Tomography, X-Ray Computed - methods
/ Tumors
2025
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Predicting exploratory thoracotomy in non-small cell lung cancer: a computed tomography based nomogram approach
by
Mei, Longyong
, Zhang, Letian
, Guo, Guangkuo
, Deng, Bo
, Dai, Fuqiang
, Feng, Yonggeng
, Mao, Chengyi
, Hao, Zipeng
, Wang, Xintian
in
Adult
/ Aged
/ Analysis
/ Archives & records
/ Biomedical and Life Sciences
/ Biomedicine
/ Blood vessels
/ Cancer Research
/ Cancer therapies
/ Carcinoma, Non-Small-Cell Lung - diagnostic imaging
/ Carcinoma, Non-Small-Cell Lung - mortality
/ Carcinoma, Non-Small-Cell Lung - pathology
/ Carcinoma, Non-Small-Cell Lung - surgery
/ Care and treatment
/ Chemotherapy
/ Computed tomography
/ CT imaging
/ Datasets
/ Diagnosis
/ Exploratory thoracotomy
/ Female
/ Genomics
/ Health aspects
/ Health Promotion and Disease Prevention
/ Humans
/ Immunotherapy
/ Long-term prognosis
/ Lung cancer
/ Lung cancer, Non-small cell
/ Lung cancer, Small cell
/ Lung Neoplasms - diagnostic imaging
/ Lung Neoplasms - mortality
/ Lung Neoplasms - pathology
/ Lung Neoplasms - surgery
/ Male
/ Medical prognosis
/ Medicine/Public Health
/ Middle Aged
/ Neoadjuvant Therapy
/ Nomograms
/ Nomography (Mathematics)
/ Non-small cell lung cancer
/ Non-small cell lung carcinoma
/ Oncology
/ Ostomy
/ Patient outcomes
/ Predictive monogram model
/ Prognosis
/ Public health
/ Pulmonary arteries
/ Radiation therapy
/ Radiomics
/ Regression analysis
/ Retrospective Studies
/ Risk assessment
/ Risk Factors
/ Small cell lung carcinoma
/ Software
/ Surgeons
/ Surgical Oncology
/ Thoracotomy
/ Thoracotomy - methods
/ Tomography
/ Tomography, X-Ray Computed - methods
/ Tumors
2025
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Predicting exploratory thoracotomy in non-small cell lung cancer: a computed tomography based nomogram approach
Journal Article
Predicting exploratory thoracotomy in non-small cell lung cancer: a computed tomography based nomogram approach
2025
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Overview
Purpose
Non-small cell lung cancer (NSCLC) constitutes a substantial global health challenge, with surgical resection serving as a principal therapeutic approach. Nevertheless, the frequency of exploratory thoracotomy without en-bloc resection remains significant, particularly in advanced-stage cases, thereby adversely affecting prognosis. This study aims to predict risk scores for exploratory thoracotomy and analyze postoperative survival in patients with central NSCLC, utilizing CT (computed tomography) imaging subsequent to neoadjuvant therapy.
Methods
Clinical and radiological data of central NSCLC patients who underwent R0 resection or exploratory thoracotomy from January 2017 to June 2023 were retrospectively reviewed. Independent risk factors for exploratory thoracotomy were identified through a multivariate regression analysis. Subsequently, a nomogram model was developed to assess the risk of exploratory thoracotomy, and was validated through internal and external cohorts. Postoperative disease-free survival (DFS) and overall survival (OS) were analyzed using a Cox regression model.
Results
A total of 78 who underwent R0 resection following neoadjuvant therapy and 32 patients who underwent exploratory thoracotomy were included in the analysis. The nomogram model derived from tumor area and vascular deformation both identified as independent risk factors for exploratory thoracotomy, exhibited robust predictive performance. Furthermore, a tumor area of less than 250 mm² at the critical CT slice was associated with better DFS and OS following neoadjuvant therapy and R0 resection. Postoperative immunotherapy has the potential to extend survival in cases where exploratory thoracotomy was performed.
Conclusion
CT imaging at the critical slice post-neoadjuvant therapy is crucial for predicting the risk of exploratory thoracotomy and postoperative survival in patients with central NSCLC.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Aged
/ Analysis
/ Biomedical and Life Sciences
/ Carcinoma, Non-Small-Cell Lung - diagnostic imaging
/ Carcinoma, Non-Small-Cell Lung - mortality
/ Carcinoma, Non-Small-Cell Lung - pathology
/ Carcinoma, Non-Small-Cell Lung - surgery
/ Datasets
/ Female
/ Genomics
/ Health Promotion and Disease Prevention
/ Humans
/ Lung Neoplasms - diagnostic imaging
/ Male
/ Non-small cell lung carcinoma
/ Oncology
/ Ostomy
/ Software
/ Surgeons
/ Tomography, X-Ray Computed - methods
/ Tumors
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