ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023
Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 11 citations in OpenAlex.
- Non-Gaussian diffusion MRI models for preoperative assessment of microvascular invasion in hepatocellular carcinoma.Abdominal radiology (New York) · 2026Article
- Preoperative prediction of brain invasion in meningiomas: a comparison of diffusion kurtosis imaging and diffusion tensor imaging.BMC neurology · 2025Article
- Multiplexed sensitivity encoding diffusion-weighted imaging in the assessment of meningiomas: improving the image quality, grading accuracy, and proliferative activity evaluation.Quantitative imaging in medicine and surgery · 2025Article
- Multimodal deep learning-based radiomics for meningioma consistency prediction: integrating T1 and T2 MRI in a multi-center study.BMC medical imaging · 2025Article
- Differentiation of early-stage endometrial carcinoma from benign endometrial lesions: a comparative study of six diffusion models.Quantitative imaging in medicine and surgery · 2025Article
- Histogram analysis of multiple mathematical diffusion-weighted imaging models for preoperative prediction of Ki-67 expression in hepatocellular carcinoma.Frontiers in oncology · 2025Article
- Quantitative characterization of breast lesions and normal fibroglandular tissue using compartmentalized diffusion-weighted model: comparison of intravoxel incoherent motion and restriction spectrum imaging.Breast cancer research : BCR · 2024Article
- Grading of clear cell renal cell carcinoma by using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging.Frontiers in oncology · 2024Article
- Contribution of advanced neuroimaging in diagnosis of cerebral syphilitic gumma: a case report.Frontiers in neuroscience · 2024Article
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10 authors at 2 institutions in 1 country.
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Abstract
backgroundThe consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR diffusion-weighted imaging in predicting the consistency of meningiomas before surgery.
methodsForty-seven consecutive patients with pathologically confirmed meningiomas were prospectively enrolled in this study. Two senior neurosurgeons independently evaluated tumour consistency and classified them into soft and hard groups. A volume of interest was placed on the preoperative MR diffusion images to outline the whole tumour area. Histogram parameters (mean, median, 10th percentile, 90th percentile, kurtosis, skewness) were extracted from 6 different diffusion maps including ADC (DWI), D*, D, f (IVIM), alpha and DDC (SEM). Comparisons between two groups were made using Student's t-Test or Mann-Whitney U test. Parameters with significant differences between the two groups were included for Receiver operating characteristic analysis. The DeLong test was used to compare AUCs.
resultsDDC, D* and ADC 10th percentile were significantly lower in hard tumours than in soft tumours (P ≤ 0.05). The alpha 90th percentile was significantly higher in hard tumours than in soft tumours (P < 0.02). For all histogram parameters, the alpha 90th percentile yielded the highest AUC of 0.88, with an accuracy of 85.10%. The D* 10th percentile had a relatively higher AUC value, followed by the DDC and ADC 10th percentile. The alpha 90th percentile had a significantly greater AUC value than the ADC 10th percentile (P ≤ 0.05). The D* 10th percentile had a significantly greater AUC value than the ADC 10th percentile and DDC 10th percentile (P ≤ 0.03).
conclusionHistogram parameters of Alpha and D* may serve as better imaging biomarkers to aid in predicting the consistency of meningioma.
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