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 visits at their own discretion. How best to predict late recurrence and loss to follow-up (LF) remains unclear.

Patients and methods

This study targeted patients diagnosed with non-metastatic RCC who underwent either radical or partial nephrectomy at Chiba University Hospital between 1988 and 2021. Follow-up for patients with RCC is typically lifelong. We used random survival forests (RSFs), a machine learning-based survival analysis method, to predict late recurrence and LF. For verificatio

SUBMITTER: Sato K 

PROVIDER: S-EPMC11479800 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature