Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners

The aim of this retrospective study was to investigate the ability of 18 fluorine-fluorodeoxyglucose positron emission tomography/CT (<sup>18</sup>F-FDG-PET/CT) metrics and radiomics features (RFs) in predicting the final diagnosis of solitary pulmonary nodules (SPN). We retrospectively...

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Autores principales:	Domenico Albano, Roberto Gatta, Matteo Marini, Carlo Rodella, Luca Camoni, Francesco Dondi, Raffaele Giubbini, Francesco Bertagna
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	<sup>18</sup>F-FDG PET/CT radiomics texture analysis solitary pulmonary nodule lung cancer Medicine R
Acceso en línea:	https://doaj.org/article/741076d2c7b64d62852ccb1b1d7d0b7e
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spelling	oai:doaj.org-article:741076d2c7b64d62852ccb1b1d7d0b7e2021-11-11T17:41:18ZRole of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners10.3390/jcm102150642077-0383https://doaj.org/article/741076d2c7b64d62852ccb1b1d7d0b7e2021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/21/5064https://doaj.org/toc/2077-0383The aim of this retrospective study was to investigate the ability of 18 fluorine-fluorodeoxyglucose positron emission tomography/CT (<sup>18</sup>F-FDG-PET/CT) metrics and radiomics features (RFs) in predicting the final diagnosis of solitary pulmonary nodules (SPN). We retrospectively recruited 202 patients who underwent a <sup>18</sup>F-FDG-PET/CT before any treatment in two PET scanners. After volumetric segmentation of each lung nodule, 8 PET metrics and 42 RFs were extracted. All the features were tested for significant differences between the two PET scanners. The performances of all features in predicting the nature of SPN were analyzed by testing three classes of final logistic regression predictive models: two were built/trained through exploiting the separate data from the two scanners, and the other joined the data together. One hundred and twenty-seven patients had a final diagnosis of malignancy, while 64 were of a benign nature. Comparing the two PET scanners, we found that all metabolic features and most of RFs were significantly different, despite the cross correlation being quite similar. For scanner 1, a combination between grey level co-occurrence matrix (GLCM), histogram, and grey-level zone length matrix (GLZLM) related features presented the best performances to predict the diagnosis; for scanner 2, it was GLCM and histogram-related features and metabolic tumour volume (MTV); and for scanner 1 + 2, it was histogram features, standardized uptake value (SUV) metrics, and MTV. RFs had a significant role in predicting the diagnosis of SPN, but their accuracies were directly related to the scanner.Domenico AlbanoRoberto GattaMatteo MariniCarlo RodellaLuca CamoniFrancesco DondiRaffaele GiubbiniFrancesco BertagnaMDPI AGarticle<sup>18</sup>F-FDG PET/CTradiomicstexture analysissolitary pulmonary nodulelung cancerMedicineRENJournal of Clinical Medicine, Vol 10, Iss 5064, p 5064 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	<sup>18</sup>F-FDG PET/CT radiomics texture analysis solitary pulmonary nodule lung cancer Medicine R
spellingShingle	<sup>18</sup>F-FDG PET/CT radiomics texture analysis solitary pulmonary nodule lung cancer Medicine R Domenico Albano Roberto Gatta Matteo Marini Carlo Rodella Luca Camoni Francesco Dondi Raffaele Giubbini Francesco Bertagna Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
description	The aim of this retrospective study was to investigate the ability of 18 fluorine-fluorodeoxyglucose positron emission tomography/CT (<sup>18</sup>F-FDG-PET/CT) metrics and radiomics features (RFs) in predicting the final diagnosis of solitary pulmonary nodules (SPN). We retrospectively recruited 202 patients who underwent a <sup>18</sup>F-FDG-PET/CT before any treatment in two PET scanners. After volumetric segmentation of each lung nodule, 8 PET metrics and 42 RFs were extracted. All the features were tested for significant differences between the two PET scanners. The performances of all features in predicting the nature of SPN were analyzed by testing three classes of final logistic regression predictive models: two were built/trained through exploiting the separate data from the two scanners, and the other joined the data together. One hundred and twenty-seven patients had a final diagnosis of malignancy, while 64 were of a benign nature. Comparing the two PET scanners, we found that all metabolic features and most of RFs were significantly different, despite the cross correlation being quite similar. For scanner 1, a combination between grey level co-occurrence matrix (GLCM), histogram, and grey-level zone length matrix (GLZLM) related features presented the best performances to predict the diagnosis; for scanner 2, it was GLCM and histogram-related features and metabolic tumour volume (MTV); and for scanner 1 + 2, it was histogram features, standardized uptake value (SUV) metrics, and MTV. RFs had a significant role in predicting the diagnosis of SPN, but their accuracies were directly related to the scanner.
format	article
author	Domenico Albano Roberto Gatta Matteo Marini Carlo Rodella Luca Camoni Francesco Dondi Raffaele Giubbini Francesco Bertagna
author_facet	Domenico Albano Roberto Gatta Matteo Marini Carlo Rodella Luca Camoni Francesco Dondi Raffaele Giubbini Francesco Bertagna
author_sort	Domenico Albano
title	Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
title_short	Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
title_full	Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
title_fullStr	Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
title_full_unstemmed	Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
title_sort	role of <sup>18</sup>f-fdg pet/ct radiomics features in the differential diagnosis of solitary pulmonary nodules: diagnostic accuracy and comparison between two different pet/ct scanners
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/741076d2c7b64d62852ccb1b1d7d0b7e
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Role of <sup>18</sup>F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners

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