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Authors
Demirjian, Natalie L.
Varghese, Bino A.
Cen, Steven Y.
Hwang, Darryl H.
Aron, Manju
Siddiqui, Imran
Fields, Brandon K. K.
Lei, Xiaomeng
Yap, Felix Y.
Rivas, Marielena
Reddy, Sharath S.
Zahoor, Haris
Liu, Derek H.
Desai, Mihir
Rhie, Suhn K.
Gill, Inderbir S.
Duddalwar, Vinay https://orcid.org/0000-0002-4808-5715
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Funding
Funding for this research was provided by:
american cancer society
southern california clinical and translational science institute
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Article History
Received: 13 July 2021
Revised: 26 August 2021
Accepted: 24 September 2021
First Online: 10 November 2021
Declarations
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: The scientific guarantor of this publication is Vinay Duddalwar MD, FRCR.
: Dr. Vinay Duddalwar is a consultant for Radmetrix and serves on the advisory board for DeepTek. The authors declare that they have no other disclosures and declare that they have no conflicts of interest.
: SYC and XL have significant statistical expertise.
: Written informed consent was waived and the study was approved by the USC Institutional Review Board.
: Institutional Review Board approval was obtained.
: A total of 391 study subjects have been previously reported in Yap FY et al. (2021). Shape and texture-based radiomics signature on CT effectively discriminates benign from malignant renal masses. Eur Radiol 31(2):1011–1021.
: • Retrospective• Diagnostic or prognostic study
