ArticleMedical physics2019
Biophysical model-based parameters to classify tumor recurrence from radiation-induced necrosis for brain metastases.
Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications.Radiology. Imaging cancer · 2026Pooled it
- A Mechanistic Model of Brain Necrosis Progression Based on Vascular Heterogeneity.International journal of radiation oncology, biology, physics · 2026Article
- Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach.PLoS computational biology · 2024Article
- Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy.Advanced drug delivery reviews · 2022Review
- Clinical assessment of a biophysical model for distinguishing tumor progression from radiation necrosis.Medical physics · 2021Article
- Accounting for intraoperative brain shift ascribable to cavity collapse during intracranial tumor resection.Journal of medical imaging (Bellingham, Wash.) · 2020Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
purposeStereotactic radiosurgery (SRS) is used for local control treatment of patients with intracranial metastases. As a result of SRS, some patients develop radiation-induced necrosis. Radiographically, radiation-induced necrosis can appear similar to tumor recurrence in magnetic resonance (MR) T
methodsIn this initial, preliminary retrospective study, we evaluated five patients with tumor recurrence and five with radiation-induced necrosis. Longitudinal patient-specific MR imaging data were used in conjunction with the model to parameterize tumor cell proliferation rate and tumor cell diffusion coefficient, and Dice correlation coefficients were used to quantify degree of correlation between model-estimated mechanical stress fields and edema visualized from MR imaging.
resultsResults found four statistically relevant parameters which can differentiate tumor recurrence and radiation-induced necrosis.
conclusionsThis preliminary investigation suggests potential of this framework to noninvasively determine the etiology of enhancing lesions in patients who previously underwent SRS for intracranial metastases.
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