Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: a multi-institutional study
Stereotactic body radiation therapy (SBRT) has been increasingly adopted as an effective method of treatment of limited cancer metastases, owing to the high rates of local control, low risk of toxicities and its potential to be delivered to almost all anatomic sites [1,2]. In particular, SBRT represents today an alternative to metastasectomy in the oligometastatic scenario [3], defined as an intermediate stage of the disease between locoregionally advanced and wide spread metastatic disease, but still treatable curatively [4].
Source: Radiotherapy and Oncology - Category: Radiology Authors: Savino Cilla, Maura Campitelli, Maria Antonietta Gambacorta, Raffaella Michela Rinaldi, Francesco Deodato, Donato Pezzulla, Carmela Romano, Andrei Fodor, Concetta Laliscia, Fabio Trippa, Vitaliana De Sanctis, Edy Ippolito, Martina Ferioli, Francesca Titon Tags: Original Article Source Type: research
More News: Cancer | Cancer & Oncology | Learning | Radiation Therapy | Radiology | Study | Toxicology | Universities & Medical Training