Literature DB >> 27079293

Relationship between Apparent Diffusion Coefficients and MR Spectroscopy Findings in High-Grade Gliomas.

Davide Gadda1, Lorenzo Nicola Mazzoni2, Luca Pasquini3, Simone Busoni4, Paolo Simonelli1, Gian Paolo Giordano1.   

Abstract

BACKGROUND AND
PURPOSE: The role of apparent diffusion coefficient (ADC) for preoperative grading and treatment planning of high-grade gliomas (HGG) is still debated since the assumption of inverse correlation between ADC and cellularity is not completely coherent with the results of some studies. It has been recently hypothesized that restricted diffusivity in HGG may be related to hypoxic/ischemic changes inside the tumor. We therefore investigated the differences of ADC values between areas with magnetic resonance spectroscopy (MRS) markers of hypoxia and necrosis (lactate and lipid compounds) and regions with lack of both metabolites.
METHODS: The MRS datasets and the corresponding ADC maps of 28 patients with HGG were retrospectively reviewed. Circular regions of interest (ROIs) were placed on ADC maps by means of spectral characteristics, considering the solid portions of gliomas. One-way ANOVA or Welch test were performed for multiple comparison of the Mean ADC, minimum ADC (minADC), and standard deviation of pixel-by-pixel ADC measurements (ADC SD) values among the groups of ROIs with lactate, lipids, and lack of both metabolites (LAC, LIP, and NEG group, respectively).
RESULTS: The minADC values in LAC group (908 ± 161 × 10-6 mm2 s-1 ) were found to be significantly (P = .03) higher than in NEG group (792 ± 122 × 10-6 mm2 s-1 ). We did not find other significant differences by the multiple comparison tests.
CONCLUSIONS: HGG areas with MRS markers of hypoxia and necrosis are not associated with restricted diffusivity. To explain the trend to diffusion facilitation in HGG lactate-expressing regions, we hypothesize a possible hypoxia-induced volume reduction of glioma cells with extracellular shift of cytoplasmic water.
Copyright © 2016 by the American Society of Neuroimaging.

Entities:  

Keywords:  MR; MR spectroscopy; diffusion-weighted imaging; glioma

Mesh:

Year:  2016        PMID: 27079293     DOI: 10.1111/jon.12350

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  3 in total

1.  Quantitative biparametric analysis of hybrid 18F-FET PET/MR-neuroimaging for differentiation between treatment response and recurrent glioma.

Authors:  Johannes Lohmeier; Georg Bohner; Eberhard Siebert; Winfried Brenner; Bernd Hamm; Marcus R Makowski
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

2.  Deep Learning Can Differentiate IDH-Mutant from IDH-Wild GBM.

Authors:  Luca Pasquini; Antonio Napolitano; Emanuela Tagliente; Francesco Dellepiane; Martina Lucignani; Antonello Vidiri; Giulio Ranazzi; Antonella Stoppacciaro; Giulia Moltoni; Matteo Nicolai; Andrea Romano; Alberto Di Napoli; Alessandro Bozzao
Journal:  J Pers Med       Date:  2021-04-09

3.  AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

Authors:  Luca Pasquini; Antonio Napolitano; Martina Lucignani; Emanuela Tagliente; Francesco Dellepiane; Maria Camilla Rossi-Espagnet; Matteo Ritrovato; Antonello Vidiri; Veronica Villani; Giulio Ranazzi; Antonella Stoppacciaro; Andrea Romano; Alberto Di Napoli; Alessandro Bozzao
Journal:  Front Oncol       Date:  2021-11-23       Impact factor: 6.244

  3 in total

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