Robustness of PET Radiomics Features: Impact of Co-Registration with MRI

Radiomics holds great promise in the field of cancer management. However, the clinical application of radiomics has been hampered by uncertainty about the robustness of the features extracted from the images. Previous studies have reported that radiomics features are sensitive to changes in voxel si...

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Autores principales:	Alessandro Stefano, Antonio Leal, Selene Richiusa, Phan Trang, Albert Comelli, Viviana Benfante, Sebastiano Cosentino, Maria G. Sabini, Antonino Tuttolomondo, Roberto Altieri, Francesco Certo, Giuseppe Maria Vincenzo Barbagallo, Massimo Ippolito, Giorgio Russo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	radiomics feature robustness imaging quantification [11C]-methionine positron emission tomography PET/MRI co-registration Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/6d61fbbbf8fe4a89b7c6e22effebaaec
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spelling	oai:doaj.org-article:6d61fbbbf8fe4a89b7c6e22effebaaec2021-11-11T15:14:14ZRobustness of PET Radiomics Features: Impact of Co-Registration with MRI10.3390/app1121101702076-3417https://doaj.org/article/6d61fbbbf8fe4a89b7c6e22effebaaec2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10170https://doaj.org/toc/2076-3417Radiomics holds great promise in the field of cancer management. However, the clinical application of radiomics has been hampered by uncertainty about the robustness of the features extracted from the images. Previous studies have reported that radiomics features are sensitive to changes in voxel size resampling and interpolation, image perturbation, or slice thickness. This study aims to observe the variability of positron emission tomography (PET) radiomics features under the impact of co-registration with magnetic resonance imaging (MRI) using the difference percentage coefficient, and the Spearman’s correlation coefficient for three groups of images: (i) original PET, (ii) PET after co-registration with T1-weighted MRI and (iii) PET after co-registration with FLAIR MRI. Specifically, seventeen patients with brain cancers undergoing [11C]-Methionine PET were considered. Successively, PET images were co-registered with MRI sequences and 107 features were extracted for each mentioned group of images. The variability analysis revealed that shape features, first-order features and two subgroups of higher-order features possessed a good robustness, unlike the remaining groups of features, which showed large differences in the difference percentage coefficient. Furthermore, using the Spearman’s correlation coefficient, approximately 40% of the selected features differed from the three mentioned groups of images. This is an important consideration for users conducting radiomics studies with image co-registration constraints to avoid errors in cancer diagnosis, prognosis, and clinical outcome prediction.Alessandro StefanoAntonio LealSelene RichiusaPhan TrangAlbert ComelliViviana BenfanteSebastiano CosentinoMaria G. SabiniAntonino TuttolomondoRoberto AltieriFrancesco CertoGiuseppe Maria Vincenzo BarbagalloMassimo IppolitoGiorgio RussoMDPI AGarticleradiomics feature robustnessimaging quantification[11C]-methionine positron emission tomographyPET/MRI co-registrationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10170, p 10170 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	radiomics feature robustness imaging quantification [11C]-methionine positron emission tomography PET/MRI co-registration Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	radiomics feature robustness imaging quantification [11C]-methionine positron emission tomography PET/MRI co-registration Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Alessandro Stefano Antonio Leal Selene Richiusa Phan Trang Albert Comelli Viviana Benfante Sebastiano Cosentino Maria G. Sabini Antonino Tuttolomondo Roberto Altieri Francesco Certo Giuseppe Maria Vincenzo Barbagallo Massimo Ippolito Giorgio Russo Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
description	Radiomics holds great promise in the field of cancer management. However, the clinical application of radiomics has been hampered by uncertainty about the robustness of the features extracted from the images. Previous studies have reported that radiomics features are sensitive to changes in voxel size resampling and interpolation, image perturbation, or slice thickness. This study aims to observe the variability of positron emission tomography (PET) radiomics features under the impact of co-registration with magnetic resonance imaging (MRI) using the difference percentage coefficient, and the Spearman’s correlation coefficient for three groups of images: (i) original PET, (ii) PET after co-registration with T1-weighted MRI and (iii) PET after co-registration with FLAIR MRI. Specifically, seventeen patients with brain cancers undergoing [11C]-Methionine PET were considered. Successively, PET images were co-registered with MRI sequences and 107 features were extracted for each mentioned group of images. The variability analysis revealed that shape features, first-order features and two subgroups of higher-order features possessed a good robustness, unlike the remaining groups of features, which showed large differences in the difference percentage coefficient. Furthermore, using the Spearman’s correlation coefficient, approximately 40% of the selected features differed from the three mentioned groups of images. This is an important consideration for users conducting radiomics studies with image co-registration constraints to avoid errors in cancer diagnosis, prognosis, and clinical outcome prediction.
format	article
author	Alessandro Stefano Antonio Leal Selene Richiusa Phan Trang Albert Comelli Viviana Benfante Sebastiano Cosentino Maria G. Sabini Antonino Tuttolomondo Roberto Altieri Francesco Certo Giuseppe Maria Vincenzo Barbagallo Massimo Ippolito Giorgio Russo
author_facet	Alessandro Stefano Antonio Leal Selene Richiusa Phan Trang Albert Comelli Viviana Benfante Sebastiano Cosentino Maria G. Sabini Antonino Tuttolomondo Roberto Altieri Francesco Certo Giuseppe Maria Vincenzo Barbagallo Massimo Ippolito Giorgio Russo
author_sort	Alessandro Stefano
title	Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
title_short	Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
title_full	Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
title_fullStr	Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
title_full_unstemmed	Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
title_sort	robustness of pet radiomics features: impact of co-registration with mri
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6d61fbbbf8fe4a89b7c6e22effebaaec
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Robustness of PET Radiomics Features: Impact of Co-Registration with MRI

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