Machine learning analysis for detecting late recurrence and loss to follow‐up after renal cell carcinoma surgery

Machine learning analysis for detecting late recurrence and loss to follow‐up after renal cell carcinoma surgery

Abstract Objectives Renal cell carcinoma (RCC) is shown to have a tendency for late recurrence, occurring 5 or more years after curative surgery. Imaging diagnosis is required for follow‐up, and there is no definitive answer as to how long this should continue. Some patients discontinue follow‐up vi...

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Main Authors: Kodai Sato, Tomokazu Sazuka, Takayuki Arai, Hiroaki Sato, Manato Kanesaka, Keisuke Ando, Shinpei Saito, Sangjon Pae, Yasutaka Yamada, Yusuke Imamura, Shinichi Sakamoto, Tomohiko Ichikawa
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:BJUI Compass
Subjects:
late recurrence
loss to follow‐up
machine learning
random survival forests
renal cell carcinoma
Online Access:https://doi.org/10.1002/bco2.425
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https://doi.org/10.1002/bco2.425

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