ESTRO 2025 - Abstract Book

S1562

Clinical – Mixed sites & palliation

ESTRO 2025

Purpose/Objective: his investigation sought to elucidate the suboptimal management of non-cancer-related pain in oncology patients, with a focus on those receiving radiotherapy. The study aimed to identify determinant factors that predict the effectiveness of pain management in this demographic. Material/Methods: A detailed examination of a subset of participants from the ARISE study was undertaken, targeting those reporting non-malignant pain. We collected comprehensive demographic and clinical data, alongside pain intensity ratings. The Pain Management Index (PMI) was utilized to evaluate the adequacy of pain management. Advanced computational analyses, including Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and the Classification and Regression Tree (CART) analysis, were employed to establish a predictive model for pain management outcomes. Results: The cohort included 446 individuals reporting non-cancer pain. The PMI revealed that a substantial 73.1% of patients received inadequate pain management. Notably, 83.8% of breast cancer patients were found to have suboptimal pain management, in contrast to 63.6% of patients with other cancer types. Geographically, breast cancer patients in northern Italy had a lower incidence of inadequate pain management (67.7%) compared to their counterparts in southern and central regions (86.6%). Furthermore, in the latter, younger patients under the age of 50 reported a higher prevalence of poorly managed pain (92.9%) compared to older patients (85.4%). Among non breast cancer types, gastrointestinal cancer patients reported better management outcomes (PMI<0: 62.5%) relative to those with other cancer diagnoses (PMI<0: 66.5%). Within this group, individuals with head and neck tumors experienced a more favorable pain management outcome (PMI<0: 59.6%) as opposed to a higher rate of inadequacy in others (PMI<0: 68.5%) ( Figure 1 ).

Figure 1 : inclusion flowchart