The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions

Abstract How to differentiate with MRI-based techniques testicular germ (TGCTs) and testicular non-germ cell tumors (TNGCTs) is still under debate and Radiomics may be the turning key. Our purpose is to investigate the performance of MRI-based Radiomics signatures for the preoperative prediction of...

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Autores principales:	Giacomo Feliciani, Lorenzo Mellini, Aldo Carnevale, Anna Sarnelli, Enrico Menghi, Filippo Piccinini, Emanuela Scarpi, Emiliano Loi, Roberto Galeotti, Melchiore Giganti, Gian Carlo Parenti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/87c7383624814cd6abcd80b8bd8ee411
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spelling	oai:doaj.org-article:87c7383624814cd6abcd80b8bd8ee4112021-12-02T14:26:47ZThe potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions10.1038/s41598-021-83023-42045-2322https://doaj.org/article/87c7383624814cd6abcd80b8bd8ee4112021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83023-4https://doaj.org/toc/2045-2322Abstract How to differentiate with MRI-based techniques testicular germ (TGCTs) and testicular non-germ cell tumors (TNGCTs) is still under debate and Radiomics may be the turning key. Our purpose is to investigate the performance of MRI-based Radiomics signatures for the preoperative prediction of testicular neoplasm histology. The aim is twofold: (i), differentiating TGCTs and TNGCTs status and (ii) differentiating seminomas (SGCTs) from non-seminomatous (NSGCTs). Forty-two patients with pathology-proven testicular neoplasms and referred for pre-treatment MRI, were retrospectively enrolled. Thirty-two out of 44 lesions were TGCTs. Twelve out of 44 were TNGCTs or other histologies. Two radiologists segmented the volume of interest on T2-weighted images. Approximately 500 imaging features were extracted. Least Absolute Shrinkage and Selection Operator (LASSO) was applied as method for variable selection. A linear model and a linear support vector machine (SVM) were trained with selected features to assess discrimination scores for the two endpoints. LASSO identified 3 features that were employed to build fivefold validated linear discriminant and linear SVM classifiers for the TGCT-TNGCT endpoint giving an overall accuracy of 89%. Four features were employed to build another SVM for the SGCT-SNGCT endpoint with an overall accuracy of 86%. The data obtained proved that T2-weighted-based Radiomics is a promising tool in the diagnostic workup of testicular neoplasms by discriminating germ cell from non-gem cell tumors, and seminomas from non-seminomas.Giacomo FelicianiLorenzo MelliniAldo CarnevaleAnna SarnelliEnrico MenghiFilippo PiccininiEmanuela ScarpiEmiliano LoiRoberto GaleottiMelchiore GigantiGian Carlo ParentiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giacomo Feliciani Lorenzo Mellini Aldo Carnevale Anna Sarnelli Enrico Menghi Filippo Piccinini Emanuela Scarpi Emiliano Loi Roberto Galeotti Melchiore Giganti Gian Carlo Parenti The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions
description	Abstract How to differentiate with MRI-based techniques testicular germ (TGCTs) and testicular non-germ cell tumors (TNGCTs) is still under debate and Radiomics may be the turning key. Our purpose is to investigate the performance of MRI-based Radiomics signatures for the preoperative prediction of testicular neoplasm histology. The aim is twofold: (i), differentiating TGCTs and TNGCTs status and (ii) differentiating seminomas (SGCTs) from non-seminomatous (NSGCTs). Forty-two patients with pathology-proven testicular neoplasms and referred for pre-treatment MRI, were retrospectively enrolled. Thirty-two out of 44 lesions were TGCTs. Twelve out of 44 were TNGCTs or other histologies. Two radiologists segmented the volume of interest on T2-weighted images. Approximately 500 imaging features were extracted. Least Absolute Shrinkage and Selection Operator (LASSO) was applied as method for variable selection. A linear model and a linear support vector machine (SVM) were trained with selected features to assess discrimination scores for the two endpoints. LASSO identified 3 features that were employed to build fivefold validated linear discriminant and linear SVM classifiers for the TGCT-TNGCT endpoint giving an overall accuracy of 89%. Four features were employed to build another SVM for the SGCT-SNGCT endpoint with an overall accuracy of 86%. The data obtained proved that T2-weighted-based Radiomics is a promising tool in the diagnostic workup of testicular neoplasms by discriminating germ cell from non-gem cell tumors, and seminomas from non-seminomas.
format	article
author	Giacomo Feliciani Lorenzo Mellini Aldo Carnevale Anna Sarnelli Enrico Menghi Filippo Piccinini Emanuela Scarpi Emiliano Loi Roberto Galeotti Melchiore Giganti Gian Carlo Parenti
author_facet	Giacomo Feliciani Lorenzo Mellini Aldo Carnevale Anna Sarnelli Enrico Menghi Filippo Piccinini Emanuela Scarpi Emiliano Loi Roberto Galeotti Melchiore Giganti Gian Carlo Parenti
author_sort	Giacomo Feliciani
title	The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions
title_short	The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions
title_full	The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions
title_fullStr	The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions
title_full_unstemmed	The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions
title_sort	potential role of mr based radiomic biomarkers in the characterization of focal testicular lesions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/87c7383624814cd6abcd80b8bd8ee411
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The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions

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