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Neurooncol Adv
Neurooncol Adv
noa
Neuro-Oncology Advances
2632-2498
Oxford University Press US

10.1093/noajnl/vdae090.066
vdae090.066
Final Category: Neuroimaging/Radiologic Advances
AcademicSubjects/MED00300
AcademicSubjects/MED00310
NIRL-05 DIFFERENTIATING RADIATION NECROSIS FROM TUMOR RECURRENCE IN BRAIN METASTASIS USING MRF– A FEASIBILITY STUDY
Gongala Sree Case Western Reserve University, Cleveland, USA
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA

Zhao Walter Department of Radiology, Case Western Reserve University, Cleveland, USA
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA

Vempati Prashant Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, USA

Hodges Tiffany Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, USA

Newton Herbert Department of Solid Tumor Oncology, Seidman Cancer Center, University Hospitals Cleveland Medical Center, Cleveland, USA

Ma Dan Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA

Badve Chaitra Department of Radiology, Case Western Reserve University, Cleveland, USA
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA

8 2024
02 8 2024
02 8 2024
6 Suppl 1 2024 SNO/ASCO CNS Metastases Conference i21i21
© The Author(s) 2024. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.
2024
https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

Abstract

INTRODUCTION

Current imaging modalities are limited in accurately differentiating between tumor recurrence (TR) and radiation necrosis (RN) in brain metastasis (BM) patients. This can affect the ability to treat these patients in an effective and timely manner. Magnetic Resonance Fingerprinting (MRF) is an imaging modality that provides quantitative relaxation times and information about tissue properties. In this study, we explore the ability of MRF to differentiate between TR and RN in BM patients.

METHODS

This is a retrospective IRB approved cross-sectional analysis of 13 BM patients (4 new metastases; NM, 3 TR and 6 RN). MRF and multiparametric MRI images w/wo contrast were acquired for all the patients. Diagnosis was established by histopathology or brain tumor board consensus. Image preprocessing was performed using Cancer Imaging Phenomics Toolkit (CaPTk) and Deepmedic. For MRF, the pre-contrast T1, post-contrast T1, pre-T2, post-T2, ΔT1 and ΔT2 maps were generated. Voxel based analysis was performed across three groups using Kruskal Wallis test.

RESULTS

There are significant differences in median pre-T1 (Median values in ms; NM = 1638.03, RN = 1824, TR = 1282.2), post- T1 (Median values in ms; NM = 1116.7, RN = 577.9, TR = 892.9), pre-T2 (Median values in ms; NM = 74.6, RN = 75.6, TR = 80.6) and post-T2 (Median values in ms; NM = 74.6, RN = 75.6, TR = 80.6) across NM, RN and TR patient groups. Particularly, these differences were larger, and the density plots were visibly different on T1 dependent maps as compared to T2. Consequently, the ΔT1 and ΔT2 values were also significantly different across these three groups.

CONCLUSIONS

In this ongoing study, our preliminary results show the ability of MRF in differentiating RN from TR in BM patients. Larger datasets will be accrued in the future to further test this relationship.
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