ESTRO 2024 - Abstract Book

S2449

Clinical - Urology

ESTRO 2024

Alessandria, Italy. 17 San Gerardo Hospital, Department of Radiation Oncology, Monza, Italy. 18 University and Spedali Civili Hospital, Radiation Oncology Department, Brescia, Italy

Purpose/Objective:

Process mining is a robust machine learning technique with significant potential for aiding clinicians in the meticulous analysis of empirical data, thereby facilitating precise and efficient workflow prototyping and visualization. The objective of this study is to conduct a process mining analysis utilizing data derived from the AIRO endorsed nationwide survey on salvage radiotherapy (SRT) for patients diagnosed with prostate cancer.

Material/Methods:

A customized script was developed to enhance and transform the available data into event log format. The eligible event categories considered for the analysis were as follows: surgery, biochemical relapse, imaging restaging at biochemical relapse, radiation therapy treatment, disease progression, development of castration resistance, death, and last follow-up. The event analysis utilized the First Order Markov Model. CareFlowMiner model was used to assess patients’ care path. The was conducted using R version 4.2.2 and the pMineR version 0.46 library.

Results:

This analysis involved a cohort of 1450 prostate cancer patients, sourced from 10 different Italian institutions. A total of 5779 events were recorded and analyzed, with a median follow-up time of 4.4 years. Starting from surgical prostatectomy as the initial point of the patients' care path, only 403 patients (28% of the total subsequent events) underwent restaging through radiological imaging at the time of biochemical relapse. The average time from surgery to salvage radiotherapy was 2.16 years. Out of the patients who received SRT, 39% experienced disease progression. No significant difference was observed in terms of the percentage among the Imaging-preSRT group. The development of castration resistance was noted in 0.1% of the cases experiencing disease progression.