AI Article Synopsis
- The study investigates how normalized vascular intratumoral signal intensity values (nVITS) from pulsed arterial spin labeling (PASL) can help differentiate between meningiomas and dural metastases, which are often confused in standard MRI imaging.
- A total of 46 patients (30 with meningiomas and 16 with dural metastases) were analyzed, finding that meningiomas had significantly higher nVITS values compared to dural metastases.
- The research concluded that nVITS values are a quick, noninvasive MRI method that can accurately distinguish between these tumors based on their vascularity, with a 100% sensitivity and 81.2% specificity.
Article Abstract
Purpose: Using conventional magnetic resonance imaging (MRI) techniques, the imaging features of meningiomas and dural metastases overlap and a differentiation between these tumor entities therefore remains difficult, particularly in patients with a known primary neoplasm. The purpose of this study was to explore the potential role of normalized vascular intratumoral signal intensity values (nVITS) obtained from pulsed arterial spin labeling (PASL) to differentiate between meningiomas and dural metastases.
Methods: In this study PASL was performed in 46 patients with meningiomas (n = 30) and dural metastases (n = 16) on a 3T scanner, in addition to the routine diagnostic imaging protocol. The ratio between the vascular signal intensity of the tumor and the contralateral normal white matter obtained by PASL images was defined as nVITS.
Results: Meningiomas showed significantly higher nVITS values compared to dural metastases (p < 0.001). The optimal nVITS cut-off value to differentiate between the 2 tumor entities was 1.989, with 100% sensitivity and 81.2% specificity.
Conclusion: The nVITS values obtained by PASL provide a fast and noninvasive MRI technique with which to differentiate between meningiomas and dural metastases in a routine clinical setting based on tumor vascularity.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471110 | PMC |
| http://dx.doi.org/10.1007/s00062-019-00808-x | DOI Listing |
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