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

PURPOSE

The purpose of this study was to compare the potential of asymmetry-based (APTw_asym ), Lorentzian-fit-based (PeakAreaAPT and MT_const ), and relaxation-compensated (MTR_Rex APT and MTR_Rex MT) 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.

METHODS

Seventy-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 T_2w -FLAIR and contrast-enhanced T_1w 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.

RESULTS

MT_const (AUC = 0.79, p < 0.01) showed a stronger association with RANO response assessment compared to PeakAreaAPT (AUC = 0.71, p = 0.02) and MTR_Rex MT (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, MT_const (HR = 3.04, p = 0.01), PeakAreaAPT (HR = 0.39, p = 0.03), and APTw_asym (HR = 2.63, p = 0.02) were associated with PFS. MTR_Rex APT was not associated with any outcome.

CONCLUSION

MT_const , PeakAreaAPT, and APTw_asym imaging predict clinical outcome by means of progression-free survival. Furthermore, MT_const 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.