M.G. Vincini

1398: Baseline radiomic features for outcome modeling in early-stage NSCLC candidates to SBRT

Stefania Volpe, Aurora Gaeta, Alessia Casbarra, Jessica Franzetti et autres

INDEPENDENT EXTERNAL VALIDATION OF FOUR NTCP MODELS FOR HEAD AND NECK CANCER PATIENTS

F. Emiro, C. Bonfiglio, M.G. Vincini, S. Vignati et autres

Predicting pathological status of prostate cancer patients – Examining the value and leading features in MRI Radiomics

Lars Johannes Isaksson, Paul Summers, Matteo Pepa, Mattia Zaffaroni et autres

The risk of patients being under- or overtreated during radiotherapy depends heavily on the pre-treatment assessment. Prediction models for surgical margin status, pathological lymph nodes, pathological tumor stage and ISUP grade group were formed using clinical and radiological features alone and together …

Comparison of whole-prostate radiomics models of disease severity derived from expert and AI based prostate segmentations

Paul Summers, Lars Johannes Isaksson, Matteo Pepa, Mattia Zaffaroni et autres

A persisting concern is that downstream models of clinical endpoints may depend on whether the contours were drawn by an expert or an AI. Prediction models for surgical margin status, and pathology-based lymph nodes, tumor stage and ISUP grade group were formed …

PD-0976 A novel anatomical robust optimization strategy for prostate cancer: a RADIOSA trial spin-off study

M.G. Vincini, F. Pansini, Mattia Zaffaroni, Giulia Corrao et autres

PO-1257 Impact of modern RT in advanced NSCLC: an exploratory real-life investigation from Lombardy

G. Corrao, M. Franchi, G. Marvaso, M. Zaffaroni et autres

PO-1254 SBRT vs 3D-CRT FOR OLIGOMETASTATIC BONE NSCLC

G. Marvaso, Ekaterina Milovanova, R. Santamaria, S. Volpe et autres