Identifying predictive factors for radiation necrosis vs local recurrence in biopsy-proven enlarging lesions post-stereotactic radiosurgery for brain metastases

Abstract Background Stereotactic radiosurgery (SRS) remains the standard of care for brain metastases (BM), offering effective local control with fewer neurocognitive side effects. However, distinguishing radiation necrosis (RN) from local recurrence (LR) is challenging in lesions that enlarge post-SRS. Identifying clinical and treatment-related factors associated with RN vs LR may improve decision-making. Prior smaller studies have suggested time to progression may help differentiate RN from LR; we aimed to reassess this observation and explore other factors in a larger cohort. Methods We retrospectively analyzed patients treated with SRS for BM between 2011 and 2022 who later underwent biopsy, with or without LITT, for imaging-suspected RN vs LR. Data included demographics, clinicopathologic characteristics, SRS-treatment parameters, and biopsy results. Results Among the identified 145 patients with 151 progressive lesions, biopsy confirmed RN in 93 (61.6%) and LR in 58 (38.4%). A subset of lesions (n = 108) had complete dosimetric data. Median age at SRS was 62 years, with a median SRS-biopsy interval of 13 months. The median prescribed dose was 20 Gy for single-fraction and 27.5 Gy for hypofractionated regimens. Multivariable models identified age ≥65 and SRS to biopsy interval ≥9 months as predictors of RN in the full cohort. In the subset group with detailed dosimetric data, V12Gy ≥ median (4.64 cm³) additionally predicted RN and improved model fit. Conclusion We identified older age, a longer SRS to biopsy interval, and higher V12Gy as predictors of RN. Our predictive models incorporate these variables and may support clinical decision-making, improve diagnostic accuracy, and optimize patient outcomes.

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Journal
Neuro-Oncology Practice
Published
2025-12-09
DOI
https://doi.org/10.1093/nop/npaf125
Primary Topic
Brain Metastases and Treatment
Type
article
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article

Identifying predictive factors for radiation necrosis vs local recurrence in biopsy-proven enlarging lesions post-stereotactic radiosurgery for brain metastases

James E. Herndon, Chunhao Wang, Ellery Reason, A. González et al.
Neuro-Oncology Practice
Brain Metastases and Treatment
article

Identifying predictive factors for radiation necrosis vs local recurrence in biopsy-proven enlarging lesions post-stereotactic radiosurgery for brain metastases

James E. Herndon, Chunhao Wang, Ellery Reason, A. González, Peter E. Fecci, Aden Haskell-Mendoza, Eugene Vaios, Claire Bradbury, Joshua Jackson, Jingtong Zhao
article en

Abstract

Abstract Background Stereotactic radiosurgery (SRS) remains the standard of care for brain metastases (BM), offering effective local control with fewer neurocognitive side effects. However, distinguishing radiation necrosis (RN) from local recurrence (LR) is challenging in lesions that enlarge post-SRS. Identifying clinical and treatment-related factors associated with RN vs LR may improve decision-making. Prior smaller studies have suggested time to progression may help differentiate RN from LR; we aimed to reassess this observation and explore other factors in a larger cohort. Methods We retrospectively analyzed patients treated with SRS for BM between 2011 and 2022 who later underwent biopsy, with or without LITT, for imaging-suspected RN vs LR. Data included demographics, clinicopathologic characteristics, SRS-treatment parameters, and biopsy results. Results Among the identified 145 patients with 151 progressive lesions, biopsy confirmed RN in 93 (61.6%) and LR in 58 (38.4%). A subset of lesions (n = 108) had complete dosimetric data. Median age at SRS was 62 years, with a median SRS-biopsy interval of 13 months. The median prescribed dose was 20 Gy for single-fraction and 27.5 Gy for hypofractionated regimens. Multivariable models identified age ≥65 and SRS to biopsy interval ≥9 months as predictors of RN in the full cohort. In the subset group with detailed dosimetric data, V12Gy ≥ median (4.64 cm³) additionally predicted RN and improved model fit. Conclusion We identified older age, a longer SRS to biopsy interval, and higher V12Gy as predictors of RN. Our predictive models incorporate these variables and may support clinical decision-making, improve diagnostic accuracy, and optimize patient outcomes.

Neuro-Oncology Practice
Duke University (US), Duke Medical Center (US), University of Colorado Anschutz Medical Campus (US)
Openalex Percentile: Top 42%
Brain Metastases and Treatment
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