Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Purpose: To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using texture analysis and machine learning algorithms. Methods: Fifty-two noncontrast (NC), 26 corticomedullary (CM) phase, and 35 nephrographic (NG) phase CTs of small (< 4 cm) surgically resected ccRCCs we...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 45; no. 3; pp. 789 - 799
Main Authors:	Haji-Momenian, Shawn, Lin, Zixian, Patel, Bhumi, Law, Nicole, Michalak, Adam, Nayak, Anishsanjay, Earls, James, Loew, Murray
Format:	Journal Article
Published:	Springer Nature Mar2020
Online Access:	View this record in EBSCOhost