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Chemical Exchange Saturation Transfer MRI for Differentiating Radiation Necrosis From Tumor Progression in Brain Metastasis—Application in a Clinical Setting
Background High radiation doses of stereotactic radiosurgery (SRS) for brain metastases (BM) can increase the likelihood of radiation necrosis (RN). Advanced MRI sequences can improve the differentiation between RN and tumor progression (TP). Purpose To use saturation transfer MRI methods including...
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Published in: | Journal of magnetic resonance imaging 2023-06, Vol.57 (6), p.1713-1725 |
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Main Authors: | , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
High radiation doses of stereotactic radiosurgery (SRS) for brain metastases (BM) can increase the likelihood of radiation necrosis (RN). Advanced MRI sequences can improve the differentiation between RN and tumor progression (TP).
Purpose
To use saturation transfer MRI methods including chemical exchange saturation transfer (CEST) and magnetization transfer (MT) to distinguish RN from TP.
Study Type
Prospective cohort study.
Subjects
Seventy patients (median age 60; 73% females) with BM (75 lesions) post‐SRS.
Field Strength/Sequence
3‐T, CEST imaging using low/high‐power (saturation B1 = 0.52 and 2.0 μT), quantitative MT imaging using B1 = 1.5, 3.0, and 5.0 μT, WAter Saturation Shift Referencing (WASSR), WAter Shift And B1 (WASABI), T1, and T2 mapping. All used gradient echoes except T2 mapping (gradient and spin echo).
Assessment
Voxel‐wise metrics included: magnetization transfer ratio (MTR); apparent exchange‐dependent relaxation (AREX); MTR asymmetry; normalized MT exchange rate and pool size product; direct water saturation peak width; and the observed T1 and T2. Regions of interests (ROIs) were manually contoured on the post‐Gd T1w. The mean (of median ROI values) was compared between groups. Clinical outcomes were determined by clinical and radiologic follow‐up or histopathology.
Statistical Tests
t‐Test, univariable and multivariable logistic regression, receiver operating characteristic, and area under the curve (AUC) with sensitivity/specificity values with the optimal cut point using the Youden index, Akaike information criterion (AIC), Cohen's d. P |
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ISSN: | 1053-1807 1522-2586 |
DOI: | 10.1002/jmri.28440 |