ArticleQuantitative imaging in medicine and surgery2025
Multiplexed sensitivity encoding diffusion-weighted imaging in the assessment of meningiomas: improving the image quality, grading accuracy, and proliferative activity evaluation.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Meningiomas often occur near the skull, where tumor imaging is prone to distortion and susceptibility artifacts, resulting in an unsatisfactory image quality of conventional single-shot echo-planar diffusion-weighted imaging (ssEPI-DWI). Our aim in this study was to evaluate the image quality of multiplexed sensitivity encoding diffusion-weighted imaging (MUSE-DWI) in meningiomas and the accuracy of the apparent diffusion coefficient (ADC) histogram parameters for tumor grading and proliferative activity evaluation based on MUSE-DWI and ssEPI-DWI. Methods: A total of 73 consecutive patients with pathologically confirmed meningiomas were included in this prospective study. Three neuroradiologists independently assessed the image quality using a 5-point Likert scale, whereas two other neuroradiologists quantitatively calculated the signal-to-noise ratio of lesion (SNR Results: Sharpness, distortion, artifact, lesion conspicuity, and overall image quality were significantly better in MUSE-DWI than those in ssEPI-DWI, with good agreement among the three raters (P<0.05; ICC: 0.83-0.90), whereas there was no significant difference in diagnostic confidence between the two DWI sequences (P>0.05; ICC: 0.80-0.82). The values of SNR Conclusions: Compared with ssEPI-DWI, MUSE-DWI improves the diffusion image quality of meningiomas, enhancing the accuracy of meningioma grading and proliferative activity evaluation.
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