Related Experiment Video
Updated: Jan 15, 2026
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Combining quantitative susceptibility mapping, arterial spin labeling and diffusion weighted imaging for
Yanzhao Diao1, Hexin Liang2, Feng Lei3
1Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Purpose:
This study aimed to evaluate and compare the diagnostic performance of quantitative susceptibility mapping (QSM), 3D pseudo-continuous arterial spin labeling (3D-pCASL), and diffusion-weighted imaging (DWI) in differentiating true progression (TP) from pseudoprogression (PsP) in postoperative high-grade glioma (HGG) patients.
Methods:
Forty-nine postoperative HGG patients with newly enhanced lesions were enrolled. All participants underwent conventional MRI, QSM, 3D-pCASL, and DWI. Final diagnoses were confirmed by 6-month longitudinal MRI follow-up or histopathology from reoperation. Quantitative parameters-including the hemorrhagic foci area proportion (proQSM), magnetic susceptibility (SUS), relative maximum cerebral blood flow (rCBFmax), and relative minimum apparent diffusion coefficient (rADCmin)-were compared between TP and PsP groups using independent samples t-tests. Diagnostic efficacy was assessed via receiver operating characteristic (ROC) curve analysis, and interparametric correlations were evaluated.
Results:
TP lesions exhibited significantly lower proQSM (p < 0.001) and higher rCBFmax (p < 0.001) than PsP, with area under the curve (AUC) values of 0.891 and 0.881, respectively. While rADCmin was marginally reduced in TP (p < 0.05), SUS showed no intergroup difference (p = 0.164). Combining proQSM with rCBFmax significantly improved diagnostic accuracy (AUC = 0.948). Furthermore, proQSM, rADCmin showed a negative correlation with rCBFmax, respectively. (p < 0.0001).
Conclusion:
proQSM and rCBFmax serve as complementary biomarkers for TP and PsP differentiation. The integration of QSM and ASL imaging significantly improves diagnostic accuracy compared to conventional parameters, providing a noninvasive strategy for postoperative HGG surveillance.
