IDH Status in Brain Gliomas Can Be Predicted by the Spherical Mean MRI Technique
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61383082%3A_____%2F25%3A00001514" target="_blank" >RIV/61383082:_____/25:00001514 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00381686 RIV/00216208:11110/25:10489317
Result on the web
<a href="https://pubmed.ncbi.nlm.nih.gov/39779292/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/39779292/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3174/ajnr.A8432" target="_blank" >10.3174/ajnr.A8432</a>
Alternative languages
Result language
angličtina
Original language name
IDH Status in Brain Gliomas Can Be Predicted by the Spherical Mean MRI Technique
Original language description
Diffuse gliomas, a heterogeneous group of primary brain tumors, have traditionally been stratified by histology, but recent insights into their molecular features, especially the IDH mutation status, have fundamentally changed their classification and prognosis. Current diagnostic methods, still predominantly relying on invasive biopsy, necessitate the exploration of noninvasive imaging alternatives for glioma characterization. MATERIALS AND METHODS: In this prospective study, we investigated the utility of the spherical mean technique (SMT) in predicting the IDH status and histologic grade of adult-type diffuse gliomas. Patients with histologically confirmed adult-type diffuse glioma underwent a multiparametric MRI examination using a 3T system, which included a multishell diffusion sequence. Advanced diffusion parameters were obtained using SMT, diffusional kurtosis imaging, and ADC modeling. The diagnostic performance of studied parameters was evaluated by plotting receiver operating characteristic curves with associated area under curve, specificity, and sensitivity values. RESULTS: A total of 80 patients with a mean age of 48 (SD, 16) years were included in the study. SMT metrics, particularly microscopic fractional anisotropy (mFA), intraneurite voxel fraction, and mFA to the third power (mFA3), demonstrated strong diagnostic performance (all AUC ¼ 0.905, 95% CI, 0.835–0.976; P, .001) in determining IDH status and compared favorably with diffusional kurtosis imaging and ADC models. These parameters also showed a strong predictive capability for tumor grade, with intraneurite voxel fraction and mFA achieving the highest diagnostic accuracy (AUC ¼ 0.937, 95% CI, 0.880–0.993; P, .001). Control analyses on normal-appearing brain tissue confirmed the specificity of these metrics for tumor tissue. CONCLUSIONS: Our study highlights the potential of SMT for noninvasive characterization of adult-type diffuse gliomas, with a potential to predict IDH status and tumor grade more accurately than traditional ADC metrics. SMT offers a promising addition to the current diagnostic toolkit, enabling more precise preoperative assessments and contributing to personalized treatment planning.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
American Journal of Neuroradiology
ISSN
0195-6108
e-ISSN
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Volume of the periodical
46
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
121-128
UT code for WoS article
001381219600001
EID of the result in the Scopus database
2-s2.0-85214654670