Deep Learning-Based Prognostic Prediction for Early Stage Laryngeal Cancer Patients Post-Radiotherapy: Utilizing 3D CBCT and EMR Data

Radiation therapy is a predominant treatment method for early-stage laryngeal cancer patients. The primary objective of this study is to predict the prognosis of recurrence in this specific patient group. Our study cohort comprises patients with stages 0-2, who have undergone radiation therapy with a curative intent rather than for palliative care. In this research, we endeavor to introduce a deep learning-based survival analysis model that harnesses data from multiple modalities obtained during radiation therapy.
Source: International Journal of Radiation Oncology * Biology * Physics - Category: Radiology Authors: Tags: 150 Source Type: research