ESTRO 2023 - Abstract Book

S1213

Digital Posters

ESTRO 2023

to the patient’s reports. Bowel HRQOL appeared not to be severely impacted. The low baseline and overall scores for both SF and SB were in line with the mean age of the population and the ADT use.

PO-1494 Process mining in PCa Salvage RT patients care path: an AIRO-URO group preliminary analysis

F. Mastroleo 1 , G. Marvaso 1 , R. Villa 1 , M. Zaffaroni 1 , G. Corrao 1 , M.G. Vincini 1 , F. Matrone 2 , A. Magli 3 , G. Francolini 4 , C. Franzese 5 , L. Nicosia 6 , F. Pasqualetti 7 , L. Trodella 8 , A. Vinciguerra 9 , S. Barra 10 , G. Timon 11 , M. Augugliaro 11 , M. Scorsetti 5 , B.A. Jereczek-Fossa 1 , S. Arcangeli 12 , L. Triggiani 13 1 IEO, Radiation Oncology, Milan, Italy; 2 CRO, Radiation Oncology, Aviano, Italy; 3 San Martino Hospital, Radiation Oncology, Belluno, Italy; 4 AOU Careggi, Radiation Oncology, Florence, Italy; 5 Humanitas Research Hospital, Radiation Oncology, Rozzano, Italy; 6 Sacro Cuore-Don Calabria Hospital, Radiation Oncology, Verona, Italy; 7 Pisa Hospital, Radiation Oncology, Pisa, Italy; 8 Campus Biomedico, Radiation Oncology, Rome, Italy; 9 SS. Annunziata Hospital, Radiation Oncology, Chieti, Italy; 10 San Martino Hospital, Radiation Oncology, Genova, Italy; 11 IRCCS Reggio Emilia, Radiation Oncology, Reggio Emilia, Italy; 12 ASST Monza, Radiation Oncology, Monza, Italy; 13 Spedali Civili, Radiation Oncology, Brescia, Italy Purpose or Objective Process mining is a machine learning powerful tool that could help clinicians in better analyzing real-word data to achieve an accurate and efficient workflow prototyping and visualization. The aim of this work is to perform a process mining analysis of the data coming from the AIRO endorsed national-wide survey of salvage radiotherapy (SRT) for prostate cancer patients. Materials and Methods A custom script has been developed to refine and convert the available data in event log format. The eligible event categories for the analysis were: surgery, biochemical relapse, imaging restaging at biochemical relapse, radiation therapy treatment, progression of the disease, castration resistance development, death, last follow-up. First Order Markov Model has been adopted for the event analysis and mean time to the event has been calculated for each single event category. Process mining analysis has been performed by R v.4.2.1 and pMineR v.045b library. This study has been approved by the ethics committee of IEO and centro cardiologico Monzino of Milan, UID 3576. Results This preliminary analysis included 582 prostate cancer patients, from 6 different Italian institutions. A total of 1595 events have been recorded and analyzed with a medium follow-up time of 4.82 years. Considering surgical prostatectomy as starting point of patients’ care path, at the biochemical relapse only 158 patients (26% of the total number of consequent events) underwent restaging by radiological imaging. Mean time from surgery to salvage radiotherapy was 3.25 years. The 39% of the patients who underwent SRT had disease progression in a mean time of 2.73 years. Disease progression involved the development of castration resistance in the 0.1% of the cases with a mean time of 2.39 years and death occurred in the 52% of the patients of this group.

Conclusion Our preliminary work clearly demonstrates the impact and potential of process mining methodology in analyzing patients’ care path when hundreds of records are involved. The complete accrual of the data from the ongoing AIRO national study and the development of more complex models will help us to gather further stratification and insights on the usage of salvage radiotherapy, while clarifying the role of the different variables involved in prostate cancer disease progression.

PO-1495 Sparing Neurovascular bundle with hyaluronic acid rectal spacer: a prospective study.

S. Simoes 1 , S. Ramos 2 , M. Amorim 2 , O. Carvalhosa 2 , C. Silva 2 , D. Oliveira 3 , M. Rodrigues 3 , J. Gagean 3 , C. Calçada 3 , C. Fardilha 3 , P. Costa 3