Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions

Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions

Abstract Background Classifying and characterizing pulmonary lesions are critical for clinical decision-making process to identify optimal therapeutic strategies. The purpose of this study was to develop and validate a radiomics nomogram for distinguishing between benign and malignant pulmonary lesi...

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Bibliographic Details
Main Authors: Jiaxuan Zhou, Yu Wen, Ruolin Ding, Jieqiong Liu, Hanzhen Fang, Xinchun Li, Kangyan Zhao, Qi Wan
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Cancer Imaging
Subjects:
Magnetic resonance imaging
Diffusion weighted imaging
Radiomics
Reproducibility
Solitary pulmonary lesion
Online Access:https://doi.org/10.1186/s40644-024-00660-4

Internet

https://doi.org/10.1186/s40644-024-00660-4

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