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- Title
Evaluating the Efficacy of Perfusion MRI and Conventional MRI in Distinguishing Recurrent Cerebral Metastasis from Brain Radiation Necrosis.
- Authors
Schack, Anders; Aunan-Diop, Jan Saip; Gerhardt, Frederik A.; Pedersen, Christian Bonde; Halle, Bo; Kofoed, Mikkel S.; Markovic, Ljubo; Wirenfeldt, Martin; Poulsen, Frantz Rom
- Abstract
Differentiating recurrent cerebral metastasis (CM) from brain radiation necrosis (BRN) is pivotal for guiding appropriate treatment and prognostication. Despite advances in imaging techniques, however, accurately distinguishing these conditions non-invasively is still challenging. This single-center retrospective study reviewed 32 cases (28 patients) with confirmed cerebral metastases who underwent surgical excision of lesions initially diagnosed by MRI and/or MR perfusion scans from 1 January 2015 to 30 September 2020. Diagnostic accuracy was assessed by comparing imaging findings with postoperative histopathology. Conventional MRI accurately identified recurrent CM in 75% of cases. MR perfusion scans showed significantly higher mean maximum relative cerebral blood volume (max. rCBV) in metastasis cases, indicating its potential as a discriminative biomarker. No single imaging modality could definitively distinguish CM from BRN. Survival analysis revealed gender as the only significant factor affecting overall survival, with no significant survival difference observed between patients with CM and BRN after controlling for confounding factors. This study underscores the limitations of both conventional MRI and MR perfusion scans in differentiating recurrent CM from BRN. Histopathological examination remains essential for accurate diagnosis. Further research is needed to improve the reliability of non-invasive imaging and to guide the management of patients with these post-radiation events.
- Subjects
SURGICAL excision; MAGNETIC resonance imaging; PERFUSION; NECROSIS; BLOOD volume; RADIATION
- Publication
Brain Sciences (2076-3425), 2024, Vol 14, Issue 4, p321
- ISSN
2076-3425
- Publication type
Article
- DOI
10.3390/brainsci14040321