Applying a Radiation Therapy Volume Analysis Pipeline to Determine the Utility of Spectroscopic MRI-Guided Adaptive Radiation Therapy for Glioblastoma

Author:

Trivedi Anuradha G.12ORCID,Kim Su Hyun1,Ramesh Karthik K.12,Giuffrida Alexander S.12,Weinberg Brent D.34ORCID,Mellon Eric A.5,Kleinberg Lawrence R.6ORCID,Barker Peter B.7ORCID,Han Hui8,Shu Hui-Kuo G.14,Shim Hyunsuk134,Schreibmann Eduard1

Affiliation:

1. Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA 30322, USA

2. Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30332, USA

3. Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA

4. Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA

5. Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 45056, USA

6. Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD 21218, USA

7. Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD 21218, USA

8. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA

Abstract

Accurate radiation therapy (RT) targeting is crucial for glioblastoma treatment but may be challenging using clinical imaging alone due to the infiltrative nature of glioblastomas. Precise targeting by whole-brain spectroscopic MRI, which maps tumor metabolites including choline (Cho) and N-acetylaspartate (NAA), can quantify early treatment-induced molecular changes that other traditional modalities cannot measure. We developed a pipeline to determine how spectroscopic MRI changes during early RT are associated with patient outcomes to provide insight into the utility of adaptive RT planning. Data were obtained from a study (NCT03137888) where glioblastoma patients received high-dose RT guided by the pre-RT Cho/NAA twice normal (Cho/NAA ≥ 2x) volume, and received spectroscopic MRI scans pre- and mid-RT. Overlap statistics between pre- and mid-RT scans were used to quantify metabolic activity changes after two weeks of RT. Log-rank tests were used to quantify the relationship between imaging metrics and patient overall and progression-free survival (OS/PFS). Patients with lower Jaccard/Dice coefficients had longer PFS (p = 0.045 for both), and patients with lower Jaccard/Dice coefficients had higher OS trending towards significance (p = 0.060 for both). Cho/NAA ≥ 2x volumes changed significantly during early RT, putting healthy tissue at risk of irradiation, and warranting further study into using adaptive RT planning.

Funder

NIH

Publisher

MDPI AG

Subject

Radiology, Nuclear Medicine and imaging

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