CT-based Radiologic Ternary Classification Model in Predicting Pathologic Invasiveness of Pulmonary Nonsolid Nodules.

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Title: CT-based Radiologic Ternary Classification Model in Predicting Pathologic Invasiveness of Pulmonary Nonsolid Nodules.
Authors: Wan Q; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang West Rd, Yuexiu District, Guangzhou, Guangdong, China 510120., Zou Q; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang West Rd, Yuexiu District, Guangzhou, Guangdong, China 510120., Sun C; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang West Rd, Yuexiu District, Guangzhou, Guangdong, China 510120., Qi M; Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China., Pan X; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang West Rd, Yuexiu District, Guangzhou, Guangdong, China 510120., Zhang J; Department of Diagnostic, Molecular, and Interventional, Icahn School of Medicine at Mount Sinai, New York, NY., Yankelevitz DF; Department of Diagnostic, Molecular, and Interventional, Icahn School of Medicine at Mount Sinai, New York, NY., Henschke CI; Department of Diagnostic, Molecular, and Interventional, Icahn School of Medicine at Mount Sinai, New York, NY., Li X; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang West Rd, Yuexiu District, Guangzhou, Guangdong, China 510120., Zhu Y; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang West Rd, Yuexiu District, Guangzhou, Guangdong, China 510120.
Source: Radiology [Radiology] 2025 Dec; Vol. 317 (3), pp. e251524.
Publication Type: Journal Article
Journal Info: Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print Cited Medium: Internet ISSN: 1527-1315 (Electronic) Linking ISSN: 00338419 NLM ISO Abbreviation: Radiology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-1315
DOI:10.1148/radiol.251524