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http://dx.doi.org/10.1148/radiol.251867 | DOI Listing |
PLoS One
September 2025
Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan, Kunming, China.
Purpose: Bronchiolar adenoma (BA) is a rare benign pulmonary neoplasm originating from the bronchial mucosal epithelium and mimics lung adenocarcinoma (LAC) both radiographically and microscopically. This study aimed to develop a nomogram for distinguishing BA from LAC by integrating clinical characteristics and artificial intelligence (AI)-derived histogram parameters across two medical centers.
Methods: This retrospective study included 215 patients with diagnoses confirmed by postoperative pathology from two medical centers.
Thorac Cancer
September 2025
Unit of Diagnostic Imaging and Interventional Radiology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Objective: This study evaluates the effectiveness and safety of C-arm cone beam CT (CBCT)-guided microcoil localization combined with uniportal video-assisted thoracoscopic surgery (VATS) for the management of small, difficult-to-localize ground-glass opacities (GGOs) and sub-solid nodules in the lungs.
Methods: We retrospectively analyzed data from 13 patients with single, small, peripheral, non-subpleural GGOs or SSN. All patients underwent successful microcoil localization using CB-CT guidance followed by uniportal VATS resection.
AJR Am J Roentgenol
September 2025
Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan City, Taiwan (333).
Medicine (Baltimore)
August 2025
Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
The growth of subsolid nodules (SSNs) is a strong predictor of lung adenocarcinoma. However, the heterogeneity in the biological behavior of SSNs poses significant challenges for clinical management. This study aimed to evaluate the clinical utility of deep learning and radiomics approaches in predicting SSN growth based on computed tomography (CT) images.
View Article and Find Full Text PDFBMC Cancer
September 2025
Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Zhongshan road No.222, Xigang District, Dalian, 116011, Liaoning Province, China.
Purpose: This study aimed to explore the correlation between the growth rate of resected ground glass nodule-featured lung adenocarcinomas (GGN-LUAD) and Ki-67, as well as various immune indexes, in patients with a follow-up period exceeding one year.
Materials And Methods: Sixty-seven tumors were divided into a growth group and a non-growth group. The volume doubling time (VDT) and mass doubling time (MDT) of the growth nodules were calculated.