The utility of multi-b-value diffusion and arterial spin labelling magnetic resonance imaging in gliomas grading and prediction of isocitrate dehydrogenase status
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F25%3A00082939" target="_blank" >RIV/65269705:_____/25:00082939 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/25:00144754
Result on the web
<a href="https://qims.amegroups.org/article/view/143233/html" target="_blank" >https://qims.amegroups.org/article/view/143233/html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21037/qims-2025-1182" target="_blank" >10.21037/qims-2025-1182</a>
Alternative languages
Result language
angličtina
Original language name
The utility of multi-b-value diffusion and arterial spin labelling magnetic resonance imaging in gliomas grading and prediction of isocitrate dehydrogenase status
Original language description
Background: Although the possibilities for grading adult gliomas by conventional magnetic resonance imaging (MRI) are limited, several advanced techniques may be used in this respect. In this study, we evaluate the feasibility of multi-b-value diffusion MRI and arterial spin labelling (ASL) in grading gliomas and predicting their isocitrate dehydrogenase (IDH) molecular status. Methods: Preoperative brain MRI including multi-b-value diffusion sequences and ASL was performed prospectively in patients with gliomas. Three-dimensional (3D) masks of tumours were semi-automatically segmented and multiple diffusion parameters and cerebral blood flow (CBF) maps calculated. Histogram analysis of all parameters was performed and the parameters' diagnostic power to differentiate between highgrade glioma (HGG) and low-grade glioma (LGG) as well as between IDH-mutated and IDH wild-type subgroups was evaluated by receiver operating characteristic (ROC) analysis and least absolute shrinkage and selection operator (LASSO) regression method. Results: The study group included 107 patients (83 HGGs and 24 LGGs, 35 IDH-mutated and 72 IDH wild-type). Overall, 49 histogram diffusion and CBF parameters differed significantly between HGG and LGG subgroups and 42 parameters differed between IDH-mutated and wild-type subgroups. ROC analysis showed multi-b-diffusion parameters to be generally stronger predictors than were CBF parameters. Decision trees using 4 parameters selected by LASSO analysis achieved sensitivity of 0.988 and specificity 0.912 for differentiating HGG from LGG and sensitivity 0.857 and specificity 0.93 for predicting IDH status. Conclusions: Multi-b diffusion MRI and ASL may be valuable diagnostic tools for grading adult brain gliomas and predicting their IDH molecular status.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
<a href="/en/project/NU21-08-00359" target="_blank" >NU21-08-00359: Classification of brain tumors using advanced techniques of multimodal diffusion MRI data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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
Quantitative Imaging in Medicine and Surgery
ISSN
2223-4292
e-ISSN
2223-4306
Volume of the periodical
15
Issue of the periodical within the volume
11
Country of publishing house
CN - CHINA
Number of pages
17
Pages from-to
10751-10767
UT code for WoS article
001599808200001
EID of the result in the Scopus database
2-s2.0-105025546770