Hippocampal Sclerosis Detection with NeuroQuant Compared with Neuroradiologists.
Adult
Bayes Theorem
Epilepsy, Temporal Lobe
/ diagnostic imaging
Female
Hippocampus
/ diagnostic imaging
Humans
Image Interpretation, Computer-Assisted
/ methods
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Neuroimaging
/ methods
Radiologists
Sclerosis
/ diagnostic imaging
Sensitivity and Specificity
Software
Journal
AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
07
11
2019
accepted:
17
01
2020
pubmed:
29
3
2020
medline:
3
11
2020
entrez:
29
3
2020
Statut:
ppublish
Résumé
NeuroQuant is an FDA-approved software that performs automated MR imaging quantitative volumetric analysis. This study aimed to compare the accuracy of NeuroQuant analysis with visual MR imaging analysis by neuroradiologists with expertise in epilepsy in identifying hippocampal sclerosis. We reviewed 144 adult patients who underwent presurgical evaluation for temporal lobe epilepsy. The reference standard for hippocampal sclerosis was defined by having hippocampal sclerosis on pathology ( NeuroQuant analysis had a similar specificity to neuroradiologist visual MR imaging analysis (90.4% versus 91.6%; Visual MR imaging analysis by a neuroradiologist with expertise in epilepsy had a higher sensitivity than did NeuroQuant analysis, likely due to the inability of NeuroQuant to evaluate changes in hippocampal T2 signal or architecture. Given that there was no significant difference in specificity between NeuroQuant analysis and visual MR imaging analysis, NeuroQuant can be a valuable tool when the results are positive, particularly in centers that lack neuroradiologists with expertise in epilepsy, to help identify and refer candidates for temporal lobe epilepsy resection. In contrast, a negative test could justify a case referral for further evaluation to ensure that false-negatives are detected.
Sections du résumé
BACKGROUND AND PURPOSE
NeuroQuant is an FDA-approved software that performs automated MR imaging quantitative volumetric analysis. This study aimed to compare the accuracy of NeuroQuant analysis with visual MR imaging analysis by neuroradiologists with expertise in epilepsy in identifying hippocampal sclerosis.
MATERIALS AND METHODS
We reviewed 144 adult patients who underwent presurgical evaluation for temporal lobe epilepsy. The reference standard for hippocampal sclerosis was defined by having hippocampal sclerosis on pathology (
RESULTS
NeuroQuant analysis had a similar specificity to neuroradiologist visual MR imaging analysis (90.4% versus 91.6%;
CONCLUSIONS
Visual MR imaging analysis by a neuroradiologist with expertise in epilepsy had a higher sensitivity than did NeuroQuant analysis, likely due to the inability of NeuroQuant to evaluate changes in hippocampal T2 signal or architecture. Given that there was no significant difference in specificity between NeuroQuant analysis and visual MR imaging analysis, NeuroQuant can be a valuable tool when the results are positive, particularly in centers that lack neuroradiologists with expertise in epilepsy, to help identify and refer candidates for temporal lobe epilepsy resection. In contrast, a negative test could justify a case referral for further evaluation to ensure that false-negatives are detected.
Identifiants
pubmed: 32217554
pii: ajnr.A6454
doi: 10.3174/ajnr.A6454
pmc: PMC7144657
doi:
Types de publication
Comparative Study
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
591-597Subventions
Organisme : NINDS NIH HHS
ID : R01 NS097719
Pays : United States
Informations de copyright
© 2020 by American Journal of Neuroradiology.
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