Development and evaluation of the diagnostic performance of a scoring system for differentiating glioblastoma, brain metastases, and solitary primary central nervous system lymphoma using multiparametric magnetic resonance imaging
Main Article Content
Abstract
This study aimed to develop and evaluate the diagnostic performance of a multiparametric MRI (mpMRI)-based scoring system for differentiating glioblastoma (GBM), brain metastasis (BM), and primary central nervous system lymphoma (PCNSL). In this retrospective study, 140 patients with histopathologically confirmed who underwent 3.0-T MRI were included. Qualitative and quantitative features derived from conventional MRI, MR spectroscopy, and perfusion imaging were analyzed to construct a two-step scoring model. Step 1 incorporated tumor necrosis, minimum intratumoral ADC (minADCt), and intratumoral relative cerebral blood volume (rCBVt) to distinguish PCNSL from GBM and BM, achieving an AUC of 0.965. Step 2 employed intratumoral relative cerebral blood flow (rCBFt), peritumoral relative cerebral blood volume (rCBVe), intratumoral Cho/NAA ratio (Cho/NAAt), and peritumoral Cho/Cr ratio (Cho/Cre) to differentiate GBM from BM, with an AUC of 0.959. The proposed branching scoring system demonstrated high diagnostic performance, with an overall accuracy of 81.4% in differentiating the three tumor types.
Article Details
Keywords
Scoring system, glioblastoma, brain metastases, primary central nervous system lymphoma, magnetic resonance
References
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