Cargando…

Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study

BACKGROUND: Tumor heterogeneity poses major clinical challenges in high-grade gliomas (HGGs). Quantitative radiomic analysis with spatial tumor habitat clustering represents an innovative, non-invasive approach to represent and quantify tumor microenvironment heterogeneity. To date, habitat imaging...

Descripción completa

Detalles Bibliográficos
Autores principales: Bailo, Michele, Pecco, Nicolò, Callea, Marcella, Scifo, Paola, Gagliardi, Filippo, Presotto, Luca, Bettinardi, Valentino, Fallanca, Federico, Mapelli, Paola, Gianolli, Luigi, Doglioni, Claudio, Anzalone, Nicoletta, Picchio, Maria, Mortini, Pietro, Falini, Andrea, Castellano, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326318/
https://www.ncbi.nlm.nih.gov/pubmed/35911979
http://dx.doi.org/10.3389/fnins.2022.885291
_version_ 1784757256693219328
author Bailo, Michele
Pecco, Nicolò
Callea, Marcella
Scifo, Paola
Gagliardi, Filippo
Presotto, Luca
Bettinardi, Valentino
Fallanca, Federico
Mapelli, Paola
Gianolli, Luigi
Doglioni, Claudio
Anzalone, Nicoletta
Picchio, Maria
Mortini, Pietro
Falini, Andrea
Castellano, Antonella
author_facet Bailo, Michele
Pecco, Nicolò
Callea, Marcella
Scifo, Paola
Gagliardi, Filippo
Presotto, Luca
Bettinardi, Valentino
Fallanca, Federico
Mapelli, Paola
Gianolli, Luigi
Doglioni, Claudio
Anzalone, Nicoletta
Picchio, Maria
Mortini, Pietro
Falini, Andrea
Castellano, Antonella
author_sort Bailo, Michele
collection PubMed
description BACKGROUND: Tumor heterogeneity poses major clinical challenges in high-grade gliomas (HGGs). Quantitative radiomic analysis with spatial tumor habitat clustering represents an innovative, non-invasive approach to represent and quantify tumor microenvironment heterogeneity. To date, habitat imaging has been applied mainly on conventional magnetic resonance imaging (MRI), although virtually extendible to any imaging modality, including advanced MRI techniques such as perfusion and diffusion MRI as well as positron emission tomography (PET) imaging. OBJECTIVES: This study aims to evaluate an innovative PET and MRI approach for assessing hypoxia, perfusion, and tissue diffusion in HGGs and derive a combined map for clustering of intra-tumor heterogeneity. MATERIALS AND METHODS: Seventeen patients harboring HGGs underwent a pre-operative acquisition of MR perfusion (PWI), Diffusion (dMRI) and (18)F-labeled fluoroazomycinarabinoside ((18)F-FAZA) PET imaging to evaluate tumor vascularization, cellularity, and hypoxia, respectively. Tumor volumes were segmented on fluid-attenuated inversion recovery (FLAIR) and T1 post-contrast images, and voxel-wise clustering of each quantitative imaging map identified eight combined PET and physiologic MRI habitats. Habitats’ spatial distribution, quantitative features and histopathological characteristics were analyzed. RESULTS: A highly reproducible distribution pattern of the clusters was observed among different cases, particularly with respect to morphological landmarks as the necrotic core, contrast-enhancing vital tumor, and peritumoral infiltration and edema, providing valuable supplementary information to conventional imaging. A preliminary analysis, performed on stereotactic bioptic samples where exact intracranial coordinates were available, identified a reliable correlation between the expected microenvironment of the different spatial habitats and the actual histopathological features. A trend toward a higher representation of the most aggressive clusters in WHO (World Health Organization) grade IV compared to WHO III was observed. CONCLUSION: Preliminary findings demonstrated high reproducibility of the PET and MRI hypoxia, perfusion, and tissue diffusion spatial habitat maps and correlation with disease-specific histopathological features.
format Online
Article
Text
id pubmed-9326318
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93263182022-07-28 Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study Bailo, Michele Pecco, Nicolò Callea, Marcella Scifo, Paola Gagliardi, Filippo Presotto, Luca Bettinardi, Valentino Fallanca, Federico Mapelli, Paola Gianolli, Luigi Doglioni, Claudio Anzalone, Nicoletta Picchio, Maria Mortini, Pietro Falini, Andrea Castellano, Antonella Front Neurosci Neuroscience BACKGROUND: Tumor heterogeneity poses major clinical challenges in high-grade gliomas (HGGs). Quantitative radiomic analysis with spatial tumor habitat clustering represents an innovative, non-invasive approach to represent and quantify tumor microenvironment heterogeneity. To date, habitat imaging has been applied mainly on conventional magnetic resonance imaging (MRI), although virtually extendible to any imaging modality, including advanced MRI techniques such as perfusion and diffusion MRI as well as positron emission tomography (PET) imaging. OBJECTIVES: This study aims to evaluate an innovative PET and MRI approach for assessing hypoxia, perfusion, and tissue diffusion in HGGs and derive a combined map for clustering of intra-tumor heterogeneity. MATERIALS AND METHODS: Seventeen patients harboring HGGs underwent a pre-operative acquisition of MR perfusion (PWI), Diffusion (dMRI) and (18)F-labeled fluoroazomycinarabinoside ((18)F-FAZA) PET imaging to evaluate tumor vascularization, cellularity, and hypoxia, respectively. Tumor volumes were segmented on fluid-attenuated inversion recovery (FLAIR) and T1 post-contrast images, and voxel-wise clustering of each quantitative imaging map identified eight combined PET and physiologic MRI habitats. Habitats’ spatial distribution, quantitative features and histopathological characteristics were analyzed. RESULTS: A highly reproducible distribution pattern of the clusters was observed among different cases, particularly with respect to morphological landmarks as the necrotic core, contrast-enhancing vital tumor, and peritumoral infiltration and edema, providing valuable supplementary information to conventional imaging. A preliminary analysis, performed on stereotactic bioptic samples where exact intracranial coordinates were available, identified a reliable correlation between the expected microenvironment of the different spatial habitats and the actual histopathological features. A trend toward a higher representation of the most aggressive clusters in WHO (World Health Organization) grade IV compared to WHO III was observed. CONCLUSION: Preliminary findings demonstrated high reproducibility of the PET and MRI hypoxia, perfusion, and tissue diffusion spatial habitat maps and correlation with disease-specific histopathological features. Frontiers Media S.A. 2022-07-13 /pmc/articles/PMC9326318/ /pubmed/35911979 http://dx.doi.org/10.3389/fnins.2022.885291 Text en Copyright © 2022 Bailo, Pecco, Callea, Scifo, Gagliardi, Presotto, Bettinardi, Fallanca, Mapelli, Gianolli, Doglioni, Anzalone, Picchio, Mortini, Falini and Castellano. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bailo, Michele
Pecco, Nicolò
Callea, Marcella
Scifo, Paola
Gagliardi, Filippo
Presotto, Luca
Bettinardi, Valentino
Fallanca, Federico
Mapelli, Paola
Gianolli, Luigi
Doglioni, Claudio
Anzalone, Nicoletta
Picchio, Maria
Mortini, Pietro
Falini, Andrea
Castellano, Antonella
Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
title Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
title_full Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
title_fullStr Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
title_full_unstemmed Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
title_short Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
title_sort decoding the heterogeneity of malignant gliomas by pet and mri for spatial habitat analysis of hypoxia, perfusion, and diffusion imaging: a preliminary study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326318/
https://www.ncbi.nlm.nih.gov/pubmed/35911979
http://dx.doi.org/10.3389/fnins.2022.885291
work_keys_str_mv AT bailomichele decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT pecconicolo decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT calleamarcella decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT scifopaola decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT gagliardifilippo decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT presottoluca decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT bettinardivalentino decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT fallancafederico decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT mapellipaola decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT gianolliluigi decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT doglioniclaudio decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT anzalonenicoletta decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT picchiomaria decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT mortinipietro decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT faliniandrea decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy
AT castellanoantonella decodingtheheterogeneityofmalignantgliomasbypetandmriforspatialhabitatanalysisofhypoxiaperfusionanddiffusionimagingapreliminarystudy