CT differentiation of fat-poor angiomyolipomas from papillary renal cell carcinomas: development of a predictive model

• Published in: Abdominal imaging Vol. 46; no. 7; pp. 3280 - 3287
• Main Authors: Salvador, R., Sebastià, M., Cárdenas, G., Páez-Carpio, A., Paño, B., Solé, M., Nicolau, C.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2021; Springer Nature B.V
• Subjects: Attenuation; Bladder; Blood vessels; Demographic variables; Gastroenterology; Gender; Hepatology; Imaging; Kidney cancer; Kidneys; Medical diagnosis; Medicine; Medicine & Public Health; Papillary renal cell carcinoma; Prediction models; Radiology; Regression models; Retroperitoneum; Statistical analysis; Tomography; Tumors; Ureters; Angiomyolipoma; Renal cell carcinoma; Papillary renal cell carcinoma; Multidetector computed tomography

Purpose To identify specific contrast-enhanced CT (CECT) findings and develop a predictive model with logistic regression to differentiate fat-poor angiomyolipomas (fpAML) from papillary renal cell carcinomas (pRCC). Methods This is a single-institution retrospective study that assess CT features of...