skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

The role of 3-Tesla magnetic resonance perfusion and spectroscopy in distinguishing glioblastoma from solitary brain metastasis

Journal of clinical imaging science, 2023-07, Vol.13, p.19-19, Article 19

2023 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science. ;2023 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science 2023 Journal of Clinical Imaging Science ;ISSN: 2156-7514 ;EISSN: 2156-5597 ;DOI: 10.25259/JCIS_49_2023 ;PMID: 37559877

Full text available

Citations Cited by
  • Title:
    The role of 3-Tesla magnetic resonance perfusion and spectroscopy in distinguishing glioblastoma from solitary brain metastasis
  • Author: Hung, Nguyen Duy ; Dung, Le Van ; Vi, Nguyen Ha ; Hai Anh, Nguyen-Thi ; Hong Phuong, Le-Thi ; Hieu, Nguyen Dinh ; Duc, Nguyen Minh
  • Subjects: Neuroradiology Head and Neck Imaging ; Original Research
  • Is Part Of: Journal of clinical imaging science, 2023-07, Vol.13, p.19-19, Article 19
  • Description: This study aimed to assess the value of magnetic resonance perfusion (MR perfusion) and magnetic resonance spectroscopy (MR spectroscopy) in 3.0-Tesla magnetic resonanceimaging (MRI) for differential diagnosis of glioblastoma (GBM) and solitary brain metastasis (SBM). This retrospective study involved 36 patients, including 24 cases of GBM and 12 of SBM diagnosed using histopathology. All patients underwent a 3.0-Tesla MRI examination with pre-operative MR perfusion and MR spectroscopy. We assessed the differences in age, sex, cerebral blood volume (CBV), relative CBV (rCBV), and the metabolite ratios of choline/N-acetylaspartate (Cho/NAA) and Cho/creatine between the GBM and SBM groups using the Mann-Whitney U-test and Chi-square test. The cutoff value, area under the curve, sensitivity, specificity, positive predictive value, and negative predictive value of the significantly different parameters between these two groups were determined using the receiver operating characteristic curve. In MR perfusion, the CBV of the peritumoral region (pCBV) had the highest preoperative predictive value in discriminating GBM from SBM (cutoff: 1.41; sensitivity: 70.83%; and specificity: 83.33%), followed by the ratio of CBV of the solid tumor component to CBV of normal white matter (rCBVt/n) and the ratio of CBV of the pCBV to CBV of normal white matter (rCBVp/n). In MR spectroscopy, the Cho/NAA ratio of the pCBV (pCho/NAA; cutoff: 1.02; sensitivity: 87.50%; and specificity: 75%) and the Cho/NAA ratio of the solid tumor component (tCho/NAA; cutoff: 2.11; sensitivity: 87.50%; and specificity: 66.67%) were significantly different between groups. Moreover, combining these remarkably different parameters increased their diagnostic utility for distinguishing between GBM and SBM. pCBV, rCBVt/n, rCBVp/n, pCho/NAA, and tCho/NAA are useful indices for differentiating between GBM and SBM. Combining these indices can improve diagnostic performance in distinguishing between these two tumors.
  • Publisher: United States: Scientific Scholar
  • Language: English
  • Identifier: ISSN: 2156-7514
    EISSN: 2156-5597
    DOI: 10.25259/JCIS_49_2023
    PMID: 37559877
  • Source: GFMER Free Medical Journals
    PubMed Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait