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Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation

In this paper, we investigate the role of shape and texture features from [Formula: see text] F-FDG PET/CT to discriminate between benign and malignant solitary pulmonary nodules. To this end, we retrospectively evaluated cross-sectional data from 111 patients (64 males, 47 females, age = 67.5 ± 11....

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Autores principales: Palumbo, Barbara, Bianconi, Francesco, Palumbo, Isabella, Fravolini, Mario Luca, Minestrini, Matteo, Nuvoli, Susanna, Stazza, Maria Lina, Rondini, Maria, Spanu, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555302/
https://www.ncbi.nlm.nih.gov/pubmed/32942729
http://dx.doi.org/10.3390/diagnostics10090696
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author Palumbo, Barbara
Bianconi, Francesco
Palumbo, Isabella
Fravolini, Mario Luca
Minestrini, Matteo
Nuvoli, Susanna
Stazza, Maria Lina
Rondini, Maria
Spanu, Angela
author_facet Palumbo, Barbara
Bianconi, Francesco
Palumbo, Isabella
Fravolini, Mario Luca
Minestrini, Matteo
Nuvoli, Susanna
Stazza, Maria Lina
Rondini, Maria
Spanu, Angela
author_sort Palumbo, Barbara
collection PubMed
description In this paper, we investigate the role of shape and texture features from [Formula: see text] F-FDG PET/CT to discriminate between benign and malignant solitary pulmonary nodules. To this end, we retrospectively evaluated cross-sectional data from 111 patients (64 males, 47 females, age = 67.5 ± 11.0) all with histologically confirmed benign ([Formula: see text]) or malignant ([Formula: see text]) solitary pulmonary nodules. Eighteen three-dimensional imaging features, including conventional, texture, and shape features from PET and CT were tested for significant differences (Wilcoxon-Mann-Withney) between the benign and malignant groups. Prediction models based on different feature sets and three classification strategies (Classification Tree, k-Nearest Neighbours, and Naïve Bayes) were also evaluated to assess the potential benefit of shape and texture features compared with conventional imaging features alone. Eight features from CT and 15 from PET were significantly different between the benign and malignant groups. Adding shape and texture features increased the performance of both the CT-based and PET-based prediction models with overall accuracy gain being 3.4–11.2 pp and 2.2–10.2 pp, respectively. In conclusion, we found that shape and texture features from [Formula: see text] F-FDG PET/CT can lead to a better discrimination between benign and malignant lung nodules by increasing the accuracy of the prediction models by an appreciable margin.
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spelling pubmed-75553022020-10-19 Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation Palumbo, Barbara Bianconi, Francesco Palumbo, Isabella Fravolini, Mario Luca Minestrini, Matteo Nuvoli, Susanna Stazza, Maria Lina Rondini, Maria Spanu, Angela Diagnostics (Basel) Article In this paper, we investigate the role of shape and texture features from [Formula: see text] F-FDG PET/CT to discriminate between benign and malignant solitary pulmonary nodules. To this end, we retrospectively evaluated cross-sectional data from 111 patients (64 males, 47 females, age = 67.5 ± 11.0) all with histologically confirmed benign ([Formula: see text]) or malignant ([Formula: see text]) solitary pulmonary nodules. Eighteen three-dimensional imaging features, including conventional, texture, and shape features from PET and CT were tested for significant differences (Wilcoxon-Mann-Withney) between the benign and malignant groups. Prediction models based on different feature sets and three classification strategies (Classification Tree, k-Nearest Neighbours, and Naïve Bayes) were also evaluated to assess the potential benefit of shape and texture features compared with conventional imaging features alone. Eight features from CT and 15 from PET were significantly different between the benign and malignant groups. Adding shape and texture features increased the performance of both the CT-based and PET-based prediction models with overall accuracy gain being 3.4–11.2 pp and 2.2–10.2 pp, respectively. In conclusion, we found that shape and texture features from [Formula: see text] F-FDG PET/CT can lead to a better discrimination between benign and malignant lung nodules by increasing the accuracy of the prediction models by an appreciable margin. MDPI 2020-09-15 /pmc/articles/PMC7555302/ /pubmed/32942729 http://dx.doi.org/10.3390/diagnostics10090696 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 Article
Palumbo, Barbara
Bianconi, Francesco
Palumbo, Isabella
Fravolini, Mario Luca
Minestrini, Matteo
Nuvoli, Susanna
Stazza, Maria Lina
Rondini, Maria
Spanu, Angela
Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation
title Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation
title_full Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation
title_fullStr Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation
title_full_unstemmed Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation
title_short Value of Shape and Texture Features from (18)F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation
title_sort value of shape and texture features from (18)f-fdg pet/ct to discriminate between benign and malignant solitary pulmonary nodules: an experimental evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555302/
https://www.ncbi.nlm.nih.gov/pubmed/32942729
http://dx.doi.org/10.3390/diagnostics10090696
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