IDH Status in Brain Gliomas Can Be Predicted by the Spherical Mean MRI Technique

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21730/25:00381686 RIV/00216208:11110/25:10489317

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

IDH Status in Brain Gliomas Can Be Predicted by the Spherical Mean MRI Technique

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

IDH Status in Brain Gliomas Can Be Predicted by the Spherical Mean MRI Technique

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

American Journal of Neuroradiology

ISSN

0195-6108

e-ISSN

—

Svazek periodika

46

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

121-128

Kód UT WoS článku

001381219600001

EID výsledku v databázi Scopus

2-s2.0-85214654670