A proposed imaging scoring system to differentiate dural-based metastasis from meningioma using MR and CT images.

in BMC medical imaging by Akeel A Alali, Maryam Aljaafary, Khalid AlBaker

TLDR

  • Researchers developed a CT and MR imaging scoring system to differentiate between dural-based metastasis and meningioma, a common benign extra-axial tumor.
  • The study included 84 patients with meningioma and 31 patients with dural-based metastasis, and found a significant difference in imaging features between the two groups.
  • The proposed scoring system showed high diagnostic accuracy for meningioma, and could be a useful tool for staging patients with known primary neoplasms.

Abstract

The differentiation between dural-based metastasis and meningioma, which is the most common benign extra axial tumor, is crucial, particularly when staging patients with known primary neoplasms. The purpose of this study was to assess CT and MR imaging features and to validate a proposed imaging scoring system to differentiate between the two pathologies. A total of 84 patients with pathologically proven meningioma and 31 dural-based metastases were included in this retrospective study. The CT and MR imaging features, including the mean apparent diffusion coefficient (ADC), presence of edema, cystic changes, dural tail, leptomeningeal enhancement, calcifications, bone destruction and hyperostosis, were evaluated. The efficacy of the proposed imaging method for meningioma and its benign findings was evaluated. There was a significant difference in most of the imaging features between patients with meningiomas and those with dural-based metastasis. The presence of vasogenic edema, leptomeningeal enhancement and bone destruction was significantly greater in patients with dural-based metastasis. Bone destruction and leptomeningeal enhancement showed the highest specificity for dural-based metastasis. There was also a significant difference between the two pathologies according to the proposed scoring system, with a P value < 0.001. Receiver Operator Characteristic (ROC) curve analysis was done to optimize the cutoff point which was identified as score 2 and above which has high 89.6% diagnostic accuracy for meningioma. The proposed imaging scoring system could be an effective tool for predicting the diagnosis of meningioma. This can be utilized to discriminate between meningioma and dural-based metastasis, particularly when staging patients with known primary neoplasms.

Overview

  • The study aims to differentiate between dural-based metastasis and meningioma through CT and MR imaging features.
  • A total of 84 patients with pathologically proven meningioma and 31 dural-based metastases were included in this retrospective study.
  • The proposed imaging scoring system aims to evaluate the efficacy of CT and MR imaging features in differentiating between the two pathologies.

Comparative Analysis & Findings

  • Most of the CT and MR imaging features showed a significant difference between patients with meningiomas and those with dural-based metastasis.
  • Bone destruction and leptomeningeal enhancement showed high specificity for dural-based metastasis.
  • A proposed scoring system demonstrated a significant difference between the two pathologies, with a P value < 0.001.

Implications and Future Directions

  • The proposed imaging scoring system could be an effective tool for predicting the diagnosis of meningioma, allowing for more accurate differentiation between meningioma and dural-based metastasis.
  • This can be particularly useful when staging patients with known primary neoplasms.
  • Further studies are needed to validate and refine the proposed scoring system.