Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F25%3A00082971" target="_blank" >RIV/65269705:_____/25:00082971 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14110/25:00144753

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/10.1111/jon.70103" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/jon.70103</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jon.70103" target="_blank" >10.1111/jon.70103</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry

Popis výsledku v původním jazyce

Background and Purpose: To evaluate feasibility of multi-b value diffusion magnetic resonance imaging (MRI) and volumetry in differentiating between brain metastases and high-grade gliomas (HGGs) while producing a differentiation tool.Methods: Preoperative brain MRI consisting of both morphological and multi-b value diffusion sequences of patients with HGGs and brain metastases was prospectively performed. Three-dimensional masks of enhancing and non-enhancing tumor and surrounding edema were semiautomatically segmented. Multiple diffusion parameters were subsequently derived together with volumes of the particular tissues. Histogram analysis of the diffusion parameters was performed, and the parameters&apos; diagnostic power to differentiate between the subgroups was evaluated by receiver operating characteristic analysis and least absolute shrinkage and selection operator (LASSO) regression method.Results: A training dataset included 97 consecutive patients (67 HGGs, 30 metastases), whereas 17 patients (9 HGGs and 8 metastases) comprised a validation group. Overall, 66 histogram diffusion parameters and tissue volumes were found to differ significantly between metastasis and HGG subgroups. LASSO regression identified 17 of these as best predictors. A decision tree using four parameters achieved sensitivity of 90% and 87.5% and specificity of 97% and 77.8% for the training and validation subgroups, respectively.Conclusion: Multi-b diffusion MRI and tumor volumetry may be valuable diagnostic tools for differentiating HGG from brain metastasis.

Název v anglickém jazyce

Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry

Popis výsledku anglicky

Background and Purpose: To evaluate feasibility of multi-b value diffusion magnetic resonance imaging (MRI) and volumetry in differentiating between brain metastases and high-grade gliomas (HGGs) while producing a differentiation tool.Methods: Preoperative brain MRI consisting of both morphological and multi-b value diffusion sequences of patients with HGGs and brain metastases was prospectively performed. Three-dimensional masks of enhancing and non-enhancing tumor and surrounding edema were semiautomatically segmented. Multiple diffusion parameters were subsequently derived together with volumes of the particular tissues. Histogram analysis of the diffusion parameters was performed, and the parameters&apos; diagnostic power to differentiate between the subgroups was evaluated by receiver operating characteristic analysis and least absolute shrinkage and selection operator (LASSO) regression method.Results: A training dataset included 97 consecutive patients (67 HGGs, 30 metastases), whereas 17 patients (9 HGGs and 8 metastases) comprised a validation group. Overall, 66 histogram diffusion parameters and tissue volumes were found to differ significantly between metastasis and HGG subgroups. LASSO regression identified 17 of these as best predictors. A decision tree using four parameters achieved sensitivity of 90% and 87.5% and specificity of 97% and 77.8% for the training and validation subgroups, respectively.Conclusion: Multi-b diffusion MRI and tumor volumetry may be valuable diagnostic tools for differentiating HGG from brain metastasis.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

<a href="/cs/project/NU21-08-00359" target="_blank" >NU21-08-00359: Klasifikace mozkových tumorů pomocí pokročilých metod analýzy dat multimodálního MR zobrazení difuze</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

Journal of Neuroimaging

ISSN

1051-2284

e-ISSN

1552-6569

Svazek periodika

35

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

"e70103"

Kód UT WoS článku

001652265600016

EID výsledku v databázi Scopus

2-s2.0-105021638925