Kidney scoring surveillance: predictive machine learning models for clear cell renal cell carcinoma growth using MRI-Reference-Cited by-同舟云学术

Kidney scoring surveillance: predictive machine learning models for clear cell renal cell carcinoma growth using MRI

Published:2024-02-12 Issue:4 Volume:49 Page:1202-1209
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Yazdian Anari Pouria,Zahergivar Aryan,Gopal Nikhil,Chaurasia Aditi,Lay Nathan,Ball Mark W.,Turkbey Baris,Turkbey Evrim,Jones Elizabeth C.,Linehan W. Marston,Malayeri Ashkan A.^ORCID

Funder

NIH Clinical Center

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00261-023-04162-y.pdf

Reference27 articles.

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2. Varshney N, Kebede AA, Owusu-Dapaah H, Lather J, Kaushik M, Bhullar JS. A review of Von Hippel-Lindau syndrome. Journal of Kidney Cancer and VHL. 2017;4(3):20.

3. Rasmussen RG, Xi Y, Sibley III RC, Lee CJ, Cadeddu JA, Pedrosa I. Association of clear cell likelihood score on MRI and growth kinetics of small solid renal masses on active surveillance. AJR American journal of roentgenology. 2022;218(1):101.

4. Whelan EA, Mason RJ, Himmelman JG, Matheson K, Rendon RA. Extended duration of active surveillance of small renal masses: a prospective cohort study. The Journal of Urology. 2019;202(1):57-61.

5. Motzer RJ, Jonasch E, Agarwal N, Alva A, Baine M, Beckermann K, et al. Kidney Cancer, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2022;20(1):71–90.

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