Revisiting the use of proton magnetic resonance spectroscopy in distinguishing between primary and secondary malignant tumors of the central nervous system.
Brain
glioma
magnetic resonance spectroscopy
Journal
The neuroradiology journal
ISSN: 2385-1996
Titre abrégé: Neuroradiol J
Pays: United States
ID NLM: 101295103
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
pubmed:
22
4
2022
medline:
28
9
2022
entrez:
21
4
2022
Statut:
ppublish
Résumé
Conventional magnetic resonance images (MRI) has limitations in distinguishing primary from secondary brain tumors. Proton magnetic resonance spectroscopy ( We undertook a retrospective analysis of 61 MRI and The mean NAA/Cr and Cho/Cr ratios were higher in secondary tumors, with a good correlation between NAA/Cr and Cho/Cr (r = 0.61). The mean age of patients with primary tumors was lower than for secondary tumors (43.9 vs 55.9, respectively). Receiver operating characteristic analysis yielded a cut-off value of 0.4 for the NAA/Cr ratio with an accuracy of 73.8%, a sensitivity of 73.3% and a specificity of 74.2% in predicting metastatic tumors. The model was reasonable in predicting the nature of the tumor and provides an additional tool for analyzing brain tumors.
Sections du résumé
BACKGROUND AND PURPOSE
OBJECTIVE
Conventional magnetic resonance images (MRI) has limitations in distinguishing primary from secondary brain tumors. Proton magnetic resonance spectroscopy (
MATERIALS AND METHODS
METHODS
We undertook a retrospective analysis of 61 MRI and
RESULTS
RESULTS
The mean NAA/Cr and Cho/Cr ratios were higher in secondary tumors, with a good correlation between NAA/Cr and Cho/Cr (r = 0.61). The mean age of patients with primary tumors was lower than for secondary tumors (43.9 vs 55.9, respectively). Receiver operating characteristic analysis yielded a cut-off value of 0.4 for the NAA/Cr ratio with an accuracy of 73.8%, a sensitivity of 73.3% and a specificity of 74.2% in predicting metastatic tumors.
CONCLUSION
CONCLUSIONS
The model was reasonable in predicting the nature of the tumor and provides an additional tool for analyzing brain tumors.
Identifiants
pubmed: 35446177
doi: 10.1177/19714009221083145
pmc: PMC9513916
doi:
Substances chimiques
Aspartic Acid
30KYC7MIAI
Creatine
MU72812GK0
Choline
N91BDP6H0X
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
619-626Références
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