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Authors
Yap, Felix Y.
Varghese, Bino A.
Cen, Steven Y.
Hwang, Darryl H.
Lei, Xiaomeng
Desai, Bhushan
Lau, Christopher
Yang, Lindsay L.
Fullenkamp, Austin J.
Hajian, Simin
Rivas, Marielena
Gupta, Megha Nayyar
Quinn, Brian D.
Aron, Manju
Desai, Mihir M.
Aron, Monish
Oberai, Assad A.
Gill, Inderbir S.
Duddalwar, Vinay A.
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Funding
Funding for this research was provided by:
Radiological Society of North America (#RF1821)
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Article History
Received: 1 April 2020
Revised: 15 June 2020
Accepted: 5 August 2020
First Online: 15 August 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Vinay A. Duddalwar, MD, FRCR.
: The authors of this manuscript declare relationships with the following companies:Vinay Duddalwar, MD, FRCR, is a consultant for Intuitive Surgical and Radmetrix and sits on the advisory board of DeepTek.
: Steven Y. Cen (biostatistician), one of the authors, kindly provided statistical support for this manuscript.
: Written informed consent was obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained.
: Some study subjects or cohorts have been previously reported in <i>Yap FY, Hwang DH, Cen SY, Varghese BA, Desai B, Quinn BD,</i> et al <i>Quantitative Contour Analysis as an Image-based Discriminator Between Benign and Malignant Renal Tumors. Urology 2018;</i><b><i>114</i></b><i>:121–7.</i><i><u>.</u></i> However, significantly larger sample size and more comprehensive analysis have been performed.
: • retrospective• diagnostic study• performed at one institution (multicenter data)
