ArticleFrontiers in medicine2026
CT prediction of malignancy in part-solid pulmonary nodules based on vascular interruption and distortion.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To develop and validate computed tomography (CT)-based prediction models for malignancy in part-solid pulmonary nodules (PSNs). Methods: In this retrospective study, 204 surgically resected PSNs (107 malignant, 97 benign) were analyzed. Clinical data and CT morphological features were evaluated. Vascular patterns were classified into five types (I-V). Quantitative vascular counts (N1-N5, TN) were recorded. Nodules were randomly split into training ( Results: Malignant nodules were associated with older age (59 ± 10 vs. 56 ± 11 years, Conclusion: Qualitative CT assessment of vascular interruption and distortion (types IV and V) significantly improves the prediction of malignancy in PSNs over conventional morphological features alone. A model integrating these vascular patterns offers excellent diagnostic accuracy and clinical utility, potentially aiding in the preoperative risk stratification of PSNs.
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