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Grading meningiomas using mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted

L Lin1, Y Xue2, Q Duan2

  • 1Department of Radiology, Huashan Hospital, Fudan University, No.12 Wulumuqi Road (Middle), Jingan District, Shanghai, China.

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Bi-exponential model (BEM) diffusion parameter D shows the most promise for distinguishing high-grade from low-grade meningiomas. This diffusion-weighted imaging metric offers superior diagnostic performance compared to other models.

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Area of Science:

  • Neuroimaging
  • Oncology
  • Radiology

Background:

  • Meningiomas are the most common primary intracranial tumors.
  • Accurate grading of meningiomas is crucial for treatment planning and prognosis.
  • Diffusion-weighted imaging (DWI) offers non-invasive insights into tissue microstructure.

Purpose of the Study:

  • To compare the efficacy of various diffusion metrics from mono-exponential (MEM), bi-exponential (BEM), and stretched exponential (SEM) models in meningioma grading.
  • To identify the most reliable diffusion parameter for differentiating high-grade from low-grade meningiomas.

Main Methods:

  • Prospective evaluation of 93 patients with histopathologically confirmed meningiomas using multi-b-value DWI.
  • Calculation of apparent diffusion coefficient (ADC), pure molecular diffusion (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and distributed diffusion coefficient (DDC).
  • Statistical analysis including ROC and logistic regression to assess diagnostic performance.

Main Results:

  • Mean and normalized ADC, D, f, and DDC were significantly lower in high-grade meningiomas.
  • The area under the curve (AUC) for D and DDC was significantly higher than for f in differentiating tumor grades.
  • Pure molecular diffusion (D) was the sole independent predictor for distinguishing high-grade from low-grade meningiomas.

Conclusions:

  • DWI models, including MEM, BEM, and SEM, are valuable for meningioma grading.
  • The diffusion parameter D derived from the BEM model demonstrates the highest potential for accurately predicting meningioma grade.