Integration of radiomic and deep features to reliably differentiate benign renal lesions from renal cell carcinoma.
Journal:
European journal of radiology
PMID:
39938162
Abstract
PURPOSE: Accurate differentiation of benign renal lesions from renal cell carcinoma (RCC) is crucial for optimized management, particularly for small renal lesions (≤4 cm in diameter). This study aimed to integrate clinical data, radiomic features, and deep features to improve diagnostic performance in distinguishing benign renal lesions from RCC.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Carcinoma, Renal Cell
Deep Learning
Diagnosis, Differential
Female
Humans
Kidney Neoplasms
Male
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Radiomics
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity
Tomography, X-Ray Computed