Semi‐solid MT and APTw CEST‐MRI predict clinical outcome of patients with glioma early after radiotherapy

Author:

Kroh Florian12,von Knebel Doeberitz Nikolaus3ORCID,Breitling Johannes1,Maksimovic Srdjan3,König Laila4,Adeberg Sebastian45,Scherer Moritz6,Unterberg Andreas56,Bendszus Martin57,Wick Wolfgang58,Bachert Peter12,Debus Jürgen459,Ladd Mark E.125,Schlemmer Heinz‐Peter35,Korzowski Andreas1ORCID,Goerke Steffen1,Paech Daniel310ORCID

Affiliation:

1. Division of Medical Physics in Radiology German Cancer Research Center (DKFZ) Heidelberg Germany

2. Department of Physics and Astronomy University of Heidelberg Heidelberg Germany

3. Division of Radiology German Cancer Research Center (DKFZ) Heidelberg Germany

4. Department of Radiation Oncology University Hospital Heidelberg Heidelberg Germany

5. Faculty of Medicine University of Heidelberg Heidelberg Germany

6. Department of Neurosurgery Heidelberg Germany

7. Department of Neuroradiology University Hospital Heidelberg Heidelberg Germany

8. Department of Neurology University Hospital Heidelberg Heidelberg Germany

9. Clinical Cooperation Unit Radiation Oncology German Cancer Research Center (DKFZ) Heidelberg Germany

10. Department of Neuroradiology University Hospital Bonn Bonn Germany

Abstract

PurposeThe purpose of this study was to compare the potential of asymmetry‐based (APTwasym), Lorentzian‐fit‐based (PeakAreaAPT and MTconst), and relaxation‐compensated (MTRRexAPT and MTRRexMT) CEST contrasts of the amide proton transfer (APT) and semi‐solid magnetization transfer (ssMT) for early response assessment and prediction of progression‐free survival (PFS) in patients with glioma.MethodsSeventy‐two study participants underwent CEST‐MRI at 3T from July 2018 to December 2021 in a prospective clinical trial four to 6 wk after the completion of radiotherapy for diffuse glioma. Tumor segmentations were performed on T2w‐FLAIR and contrast‐enhanced T1w images. Therapy response assessment and determination of PFS were performed according to response assessment in neuro oncology (RANO) criteria using clinical follow‐up data with a median observation time of 9.2 mo (range, 1.6–40.8) and compared to CEST MRI metrics. Statistical testing included receiver operating characteristic analyses, Mann–Whitney‐U‐test, Kaplan–Meier analyses, and logrank‐test.ResultsMTconst (AUC = 0.79, p < 0.01) showed a stronger association with RANO response assessment compared to PeakAreaAPT (AUC = 0.71, p = 0.02) and MTRRexMT (AUC = 0.71, p = 0.02), and enabled differentiation of participants with pseudoprogression (n = 8) from those with true progression (AUC = 0.79, p = 0.02). Furthermore, MTconst (HR = 3.04, p = 0.01), PeakAreaAPT (HR = 0.39, p = 0.03), and APTwasym (HR = 2.63, p = 0.02) were associated with PFS. MTRRexAPT was not associated with any outcome.ConclusionMTconst, PeakAreaAPT, and APTwasym imaging predict clinical outcome by means of progression‐free survival. Furthermore, MTconst enables differentiation of radiation‐induced pseudoprogression from disease progression. Therefore, the assessed metrics may have synergistic potential for supporting clinical decision making during follow‐up of patients with glioma.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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