A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM

Purpose: Stereotactic radiosurgery (SRS) is widely used for brain metastases (BM), but the risk of radionecrosis poses a challenge in post-SRS management. Given the lack of noninvasive imaging methods for distinguishing radionecrosis from recurrence, we aimed to design a deep ensemble learning model...

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Main Authors: Jingtong Zhao, MS, Eugene Vaios, MD, MBA, Evan Calabrese, MD, PhD, Zhenyu Yang, PhD, Scott Robertson, PhD, John Ginn, PhD, Ke Lu, PhD, Fang-Fang Yin, PhD, Zachary Reitman, MD, PhD, John Kirkpatrick, MD, PhD, Scott Floyd, MD, PhD, Peter Fecci, MD, PhD, Chunhao Wang, PhD
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2452109425001137
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