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| http://dx.doi.org/10.5334/jbsr.1463 | DOI Listing |
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Pulmonary nodule malignancy probability: a meta-analysis of the Brock model.
Clin Radiol
December 2024
The Second People's Hospital Affiliated to Fujian University of Chinese Medicine, Fuzhou, China; Fujian Clinical Medical Research Center for Integrated Chinese and Western Medicine Diagnosis and Treatment of Early Stage Lung Cancer, Fuzhou, China. Electronic address:
Aim: This study aims to quantify the performance of the Brock model through a systematic review and meta-analysis and to clarify its overall accuracy in predicting malignant pulmonary nodules.
Materials And Methods: A systematic search was conducted in databases including the Cochrane Library, Excerpta Medica database (EMBASE), MEDLINE, Web of Science, Chinese Biological Medicine Database (CBM), China National Knowledge Infrastructure (CNKI), VIP, and Wanfang from their inception until May 1, 2024, to collect observational cohort studies involving the Brock model. The primary outcome was the pooled area under the receiver operating characteristic curve (ROC) the area under curve (AUC) for the Brock model.
How I Do It: Management of Pleural-attached Pulmonary Nodules in Low-Dose CT Screening for Lung Cancer.
Radiology
January 2025
From the Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 (Y.Z., D.F.Y., C.I.H.); and Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China (Y.Z.).
Lung cancer is the leading cause of cancer deaths globally. In various trials, the ability of low-dose CT screening to diagnose early lung cancers leads to high cure rates. It is widely accepted that the potential benefits of low-dose CT screening for lung cancer outweigh the harms.
View Article and Find Full Text PDFUse of a novel claw-suture technique for localization of solitary pulmonary nodules: retrospective study and experience from one center.
J Thorac Dis
December 2024
Department of Thoracic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Background: Video-assisted thoracoscopic surgery (VATS) is more effective for diagnosing and treating solitary pulmonary nodules (SPNs). It is sometimes difficult to localize through use of minimally invasive techniques. We evaluated the feasibility, effectiveness, and safety of a novel localization method for SPNs.
View Article and Find Full Text PDFThe effectiveness and safety of computed tomography-guided hook-wire localization for secondary video-assisted thoracoscopic surgery: a retrospective study.
J Thorac Dis
December 2024
Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Background: Computed tomography (CT)-guided hook-wire localization is currently the most commonly used technique for preoperative localization of pulmonary nodules in clinical practice. With the increasing incidence of multiple primary lung cancers and the increasing occurrence of second primary lung cancers or local recurrences after lung cancer surgery, some patients need to undergo an ipsilateral or contralateral second pulmonary resection. In order to reduce the surgical difficulty of the second operation and accurately guide the surgical resection, preoperative localization of some nodules is necessary.
View Article and Find Full Text PDFDevelopment of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.
BMC Med Imaging
January 2025
Department of Thoracic Surgery, The Fifth Clinical Medical College of Henan, University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, 450003, China.
Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.
Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.
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