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Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review

Radiomics or textural feature extraction obtained from positron emission tomography (PET) images through complex mathematical models of the spatial relationship between multiple image voxels is currently emerging as a new tool for assessing intra-tumoral heterogeneity in medical imaging. In this pap...

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Autores principales: Deleu, Anne-Leen, Sathekge, Machaba Junior, Maes, Alex, De Spiegeleer, Bart, Sathekge, Mike, Van de Wiele, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556033/
https://www.ncbi.nlm.nih.gov/pubmed/32846986
http://dx.doi.org/10.3390/biomedicines8090304
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author Deleu, Anne-Leen
Sathekge, Machaba Junior
Maes, Alex
De Spiegeleer, Bart
Sathekge, Mike
Van de Wiele, Christophe
author_facet Deleu, Anne-Leen
Sathekge, Machaba Junior
Maes, Alex
De Spiegeleer, Bart
Sathekge, Mike
Van de Wiele, Christophe
author_sort Deleu, Anne-Leen
collection PubMed
description Radiomics or textural feature extraction obtained from positron emission tomography (PET) images through complex mathematical models of the spatial relationship between multiple image voxels is currently emerging as a new tool for assessing intra-tumoral heterogeneity in medical imaging. In this paper, available literature on texture analysis using FDG PET imaging in patients suffering from tumors of the gastro-intestinal tract is reviewed. While texture analysis of FDG PET images appears clinically promising, due to the lack of technical specifications, a large variability in the implemented methodology used for texture analysis and lack of statistical robustness, at present, no firm conclusions can be drawn regarding the predictive or prognostic value of FDG PET texture analysis derived indices in patients suffering from gastro-enterologic tumors. In order to move forward in this field, a harmonized image acquisition and processing protocol as well as a harmonized protocol for texture analysis of tumor volumes, allowing multi-center studies excluding statistical biases should be considered. Furthermore, the complementary and additional value of CT-imaging, as part of the PET/CT imaging technique, warrants exploration.
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spelling pubmed-75560332020-10-19 Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review Deleu, Anne-Leen Sathekge, Machaba Junior Maes, Alex De Spiegeleer, Bart Sathekge, Mike Van de Wiele, Christophe Biomedicines Review Radiomics or textural feature extraction obtained from positron emission tomography (PET) images through complex mathematical models of the spatial relationship between multiple image voxels is currently emerging as a new tool for assessing intra-tumoral heterogeneity in medical imaging. In this paper, available literature on texture analysis using FDG PET imaging in patients suffering from tumors of the gastro-intestinal tract is reviewed. While texture analysis of FDG PET images appears clinically promising, due to the lack of technical specifications, a large variability in the implemented methodology used for texture analysis and lack of statistical robustness, at present, no firm conclusions can be drawn regarding the predictive or prognostic value of FDG PET texture analysis derived indices in patients suffering from gastro-enterologic tumors. In order to move forward in this field, a harmonized image acquisition and processing protocol as well as a harmonized protocol for texture analysis of tumor volumes, allowing multi-center studies excluding statistical biases should be considered. Furthermore, the complementary and additional value of CT-imaging, as part of the PET/CT imaging technique, warrants exploration. MDPI 2020-08-24 /pmc/articles/PMC7556033/ /pubmed/32846986 http://dx.doi.org/10.3390/biomedicines8090304 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Deleu, Anne-Leen
Sathekge, Machaba Junior
Maes, Alex
De Spiegeleer, Bart
Sathekge, Mike
Van de Wiele, Christophe
Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review
title Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review
title_full Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review
title_fullStr Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review
title_full_unstemmed Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review
title_short Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review
title_sort characterization of fdg pet images using texture analysis in tumors of the gastro-intestinal tract: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556033/
https://www.ncbi.nlm.nih.gov/pubmed/32846986
http://dx.doi.org/10.3390/biomedicines8090304
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