Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: a multi-institutional study

CONCLUSION: ML models enable a reliable prediction of the treatment response of oligometastatic lesions receiving SBRT. This approach may assist radiation oncologists to tailor more individualized treatment plans for oligometastatic patients.PMID:38142932 | DOI:10.1016/j.radonc.2023.110072

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - December 24, 2023 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 Titone Donatella R Source Type: research