Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases

Abstract We sought to evaluate the utility of radiomics for Amide Proton Transfer weighted (APTw) imaging by assessing its value in differentiating brain metastases from high- and low grade glial brain tumors. We retrospectively identified 48 treatment-naïve patients (10 WHO grade 2, 1 WHO grade 3,...

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Autores principales:	Elisabeth Sartoretti, Thomas Sartoretti, Michael Wyss, Carolin Reischauer, Luuk van Smoorenburg, Christoph A. Binkert, Sabine Sartoretti-Schefer, Manoj Mannil
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7bb024bcd0cb4744ad5596f329f06979
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spelling	oai:doaj.org-article:7bb024bcd0cb4744ad5596f329f069792021-12-02T13:19:21ZAmide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases10.1038/s41598-021-85168-82045-2322https://doaj.org/article/7bb024bcd0cb4744ad5596f329f069792021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85168-8https://doaj.org/toc/2045-2322Abstract We sought to evaluate the utility of radiomics for Amide Proton Transfer weighted (APTw) imaging by assessing its value in differentiating brain metastases from high- and low grade glial brain tumors. We retrospectively identified 48 treatment-naïve patients (10 WHO grade 2, 1 WHO grade 3, 10 WHO grade 4 primary glial brain tumors and 27 metastases) with either primary glial brain tumors or metastases who had undergone APTw MR imaging. After image analysis with radiomics feature extraction and post-processing, machine learning algorithms (multilayer perceptron machine learning algorithm; random forest classifier) with stratified tenfold cross validation were trained on features and were used to differentiate the brain neoplasms. The multilayer perceptron achieved an AUC of 0.836 (receiver operating characteristic curve) in differentiating primary glial brain tumors from metastases. The random forest classifier achieved an AUC of 0.868 in differentiating WHO grade 4 from WHO grade 2/3 primary glial brain tumors. For the differentiation of WHO grade 4 tumors from grade 2/3 tumors and metastases an average AUC of 0.797 was achieved. Our results indicate that the use of radiomics for APTw imaging is feasible and the differentiation of primary glial brain tumors from metastases is achievable with a high degree of accuracy.Elisabeth SartorettiThomas SartorettiMichael WyssCarolin ReischauerLuuk van SmoorenburgChristoph A. BinkertSabine Sartoretti-ScheferManoj MannilNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elisabeth Sartoretti Thomas Sartoretti Michael Wyss Carolin Reischauer Luuk van Smoorenburg Christoph A. Binkert Sabine Sartoretti-Schefer Manoj Mannil Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
description	Abstract We sought to evaluate the utility of radiomics for Amide Proton Transfer weighted (APTw) imaging by assessing its value in differentiating brain metastases from high- and low grade glial brain tumors. We retrospectively identified 48 treatment-naïve patients (10 WHO grade 2, 1 WHO grade 3, 10 WHO grade 4 primary glial brain tumors and 27 metastases) with either primary glial brain tumors or metastases who had undergone APTw MR imaging. After image analysis with radiomics feature extraction and post-processing, machine learning algorithms (multilayer perceptron machine learning algorithm; random forest classifier) with stratified tenfold cross validation were trained on features and were used to differentiate the brain neoplasms. The multilayer perceptron achieved an AUC of 0.836 (receiver operating characteristic curve) in differentiating primary glial brain tumors from metastases. The random forest classifier achieved an AUC of 0.868 in differentiating WHO grade 4 from WHO grade 2/3 primary glial brain tumors. For the differentiation of WHO grade 4 tumors from grade 2/3 tumors and metastases an average AUC of 0.797 was achieved. Our results indicate that the use of radiomics for APTw imaging is feasible and the differentiation of primary glial brain tumors from metastases is achievable with a high degree of accuracy.
format	article
author	Elisabeth Sartoretti Thomas Sartoretti Michael Wyss Carolin Reischauer Luuk van Smoorenburg Christoph A. Binkert Sabine Sartoretti-Schefer Manoj Mannil
author_facet	Elisabeth Sartoretti Thomas Sartoretti Michael Wyss Carolin Reischauer Luuk van Smoorenburg Christoph A. Binkert Sabine Sartoretti-Schefer Manoj Mannil
author_sort	Elisabeth Sartoretti
title	Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
title_short	Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
title_full	Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
title_fullStr	Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
title_full_unstemmed	Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases
title_sort	amide proton transfer weighted (aptw) imaging based radiomics allows for the differentiation of gliomas from metastases
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7bb024bcd0cb4744ad5596f329f06979
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Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases

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