Congress:
ECR25
Poster Number:
C-16003
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
F. Palmeri, D. Caivano, A. Del Gaudio, M. Polici, S. Nardacci, M. Zerunian, F. Pucciarelli, D. Caruso, A. Laghi; Roma/IT
Disclosures:
Federica Palmeri:
Nothing to disclose
Donatella Caivano:
Nothing to disclose
Antonella Del Gaudio:
Nothing to disclose
Michela Polici:
Nothing to disclose
Stefano Nardacci:
Nothing to disclose
Marta Zerunian:
Nothing to disclose
Francesco Pucciarelli:
Nothing to disclose
Damiano Caruso:
Nothing to disclose
Andrea Laghi:
Nothing to disclose
Keywords:
Colon, Computer applications, Lung, CT, Stereotactic radiotherapy, Cancer, Multidisciplinary cancer care
The results of this study indicate that a predictive model integrating both radiomics features and clinical characteristics holds promise for assessing the risk of polymetastatic progression in patients with oligometastatic CRC treated with SABR. The combined approach allows for more accurate patient categorization into favorable and unfavorable prognostic groups, potentially guiding treatment strategies and improving patient outcomes. The application of both clinical and radiomic data may serve as a robust tool for personalized therapeutic management in this challenging clinical scenario.