Extended diffusion weighted magnetic resonance imaging with two-compartment and anomalous diffusion models for differentiation of low-grade and high-grade brain tumors in pediatric patients.
Purpose: The purpose of this study was to examine advanced diffusion-weighted magnetic resonance imaging (DW-MRI) models for differentiation of low- and high-grade tumors in the diagnosis of pediatric brain neoplasms. Methods: Sixty-two pediatric patients with various types and grades of brain tumor...
| Publicado en: | Neuroradiology Vol. 59; no. 8; pp. 803 - 812 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2017
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124297403&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124297403 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Aug2017 vid: 59 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124297403 124297403 144059264 124297403 10.1007/s00234-017-1865-4 124297403 ppf: 803 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Extended diffusion weighted magnetic resonance imaging with two-compartment and anomalous diffusion models for differentiation of low-grade and high-grade brain tumors in pediatric patients. aug: au: Burrowes, Delilah Fangusaro, Jason Nelson, Paige Zhang, Bin Wadhwani, Nitin Rozenfeld, Michael Deng, Jie affil: Department of Medical Imaging , Ann and Robert H. Lurie Children's Hospital of Chicago , 225 E. Chicago Ave Chicago 60611 USA sug: subj: Magnetic Resonance Imaging Brain Neoplasms Diagnosis Brain Neoplasms World Health Organization ROC Curve Logistic Regression Sensitivity and Specificity Data Collection Regression ab: Purpose: The purpose of this study was to examine advanced diffusion-weighted magnetic resonance imaging (DW-MRI) models for differentiation of low- and high-grade tumors in the diagnosis of pediatric brain neoplasms. Methods: Sixty-two pediatric patients with various types and grades of brain tumors were evaluated in a retrospective study. Tumor type and grade were classified using the World Health Organization classification (WHO I-IV) and confirmed by pathological analysis. Patients underwent DW-MRI before treatment. Diffusion-weighted images with 16 b-values (0-3500 s/mm) were acquired. Averaged signal intensity decay within solid tumor regions was fitted using two-compartment and anomalous diffusion models. Intracellular and extracellular diffusion coefficients (D and D), fractional volumes (V and V), generalized diffusion coefficient ( D), spatial constant (μ), heterogeneity index (β), and a diffusion index (index_diff = μ × V/β) were calculated. Multivariate logistic regression models with stepwise model selection algorithm and receiver operating characteristic (ROC) analyses were performed to evaluate the ability of each diffusion parameter to distinguish tumor grade. Results: Among all parameter combinations, D and index_diff jointly provided the best predictor for tumor grades, where lower D ( p = 0.03) and higher index_diff ( p = 0.009) were significantly associated with higher tumor grades. In ROC analyses of differentiating low-grade (I-II) and high-grade (III-IV) tumors, index_diff provided the highest specificity of 0.97 and D provided the highest sensitivity of 0.96. Conclusions: Multi-parametric diffusion measurements using two-compartment and anomalous diffusion models were found to be significant discriminants of tumor grading in pediatric brain neoplasms. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|