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Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT

PURPOSE: To investigate the clinical value of radiomic analysis on [(18)F]FDG and [(18)F]FLT PET on the differentiation of [(18)F]FDG-avid benign and malignant pulmonary nodules (PNs). METHODS: Data of 113 patients with inconclusive PNs based on preoperative [(18)F]FDG PET/CT who underwent additiona...

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Autores principales: Ning, Jing, Li, Can, Yu, Peng, Cui, Jingjing, Xu, Xiaodan, Jia, Yan, Zuo, Panli, Tian, Jiahe, Kenner, Lukas, Xu, Baixuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657912/
https://www.ncbi.nlm.nih.gov/pubmed/37980611
http://dx.doi.org/10.1186/s13244-023-01530-6
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author Ning, Jing
Li, Can
Yu, Peng
Cui, Jingjing
Xu, Xiaodan
Jia, Yan
Zuo, Panli
Tian, Jiahe
Kenner, Lukas
Xu, Baixuan
author_facet Ning, Jing
Li, Can
Yu, Peng
Cui, Jingjing
Xu, Xiaodan
Jia, Yan
Zuo, Panli
Tian, Jiahe
Kenner, Lukas
Xu, Baixuan
author_sort Ning, Jing
collection PubMed
description PURPOSE: To investigate the clinical value of radiomic analysis on [(18)F]FDG and [(18)F]FLT PET on the differentiation of [(18)F]FDG-avid benign and malignant pulmonary nodules (PNs). METHODS: Data of 113 patients with inconclusive PNs based on preoperative [(18)F]FDG PET/CT who underwent additional [(18)F]FLT PET/CT scans within a week were retrospectively analyzed in the present study. Three methods of analysis including visual analysis, radiomic analysis based on [(18)F]FDG PET/CT images alone, and radiomic analysis based on dual-tracer PET/CT images were evaluated for differential diagnostic value of benign and malignant PNs. RESULTS: A total of 678 radiomic features were extracted from volumes of interest (VOIs) of 123 PNs. Fourteen valuable features were thereafter selected. Based on a visual analysis of [(18)F]FDG PET/CT images, the diagnostic accuracy, sensitivity, and specificity were 61.6%, 90%, and 28.8%, respectively. For the test set, the area under the curve (AUC), sensitivity, and specificity of the radiomic models based on [(18)F]FDG PET/CT plus [(18)F]FLT signature were equal or better than radiomics based on [(18)F]FDG PET/CT only (0.838 vs 0.810, 0.778 vs 0.778, 0.750 vs 0.688, respectively). CONCLUSION: Radiomic analysis based on dual-tracer PET/CT images is clinically promising and feasible for the differentiation between benign and malignant PNs. CLINICAL RELEVANCE STATEMENT: Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT. KEY POINTS: • Radiomics brings new insights into the differentiation of benign and malignant pulmonary nodules beyond the naked eyes. • Dual-tracer imaging shows the biological behaviors of cancerous cells from different aspects. • Radiomics helps us get to the histological view in a non-invasive approach. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-023-01530-6.
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spelling pubmed-106579122023-11-19 Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT Ning, Jing Li, Can Yu, Peng Cui, Jingjing Xu, Xiaodan Jia, Yan Zuo, Panli Tian, Jiahe Kenner, Lukas Xu, Baixuan Insights Imaging Original Article PURPOSE: To investigate the clinical value of radiomic analysis on [(18)F]FDG and [(18)F]FLT PET on the differentiation of [(18)F]FDG-avid benign and malignant pulmonary nodules (PNs). METHODS: Data of 113 patients with inconclusive PNs based on preoperative [(18)F]FDG PET/CT who underwent additional [(18)F]FLT PET/CT scans within a week were retrospectively analyzed in the present study. Three methods of analysis including visual analysis, radiomic analysis based on [(18)F]FDG PET/CT images alone, and radiomic analysis based on dual-tracer PET/CT images were evaluated for differential diagnostic value of benign and malignant PNs. RESULTS: A total of 678 radiomic features were extracted from volumes of interest (VOIs) of 123 PNs. Fourteen valuable features were thereafter selected. Based on a visual analysis of [(18)F]FDG PET/CT images, the diagnostic accuracy, sensitivity, and specificity were 61.6%, 90%, and 28.8%, respectively. For the test set, the area under the curve (AUC), sensitivity, and specificity of the radiomic models based on [(18)F]FDG PET/CT plus [(18)F]FLT signature were equal or better than radiomics based on [(18)F]FDG PET/CT only (0.838 vs 0.810, 0.778 vs 0.778, 0.750 vs 0.688, respectively). CONCLUSION: Radiomic analysis based on dual-tracer PET/CT images is clinically promising and feasible for the differentiation between benign and malignant PNs. CLINICAL RELEVANCE STATEMENT: Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT. KEY POINTS: • Radiomics brings new insights into the differentiation of benign and malignant pulmonary nodules beyond the naked eyes. • Dual-tracer imaging shows the biological behaviors of cancerous cells from different aspects. • Radiomics helps us get to the histological view in a non-invasive approach. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-023-01530-6. Springer Vienna 2023-11-19 /pmc/articles/PMC10657912/ /pubmed/37980611 http://dx.doi.org/10.1186/s13244-023-01530-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Ning, Jing
Li, Can
Yu, Peng
Cui, Jingjing
Xu, Xiaodan
Jia, Yan
Zuo, Panli
Tian, Jiahe
Kenner, Lukas
Xu, Baixuan
Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT
title Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT
title_full Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT
title_fullStr Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT
title_full_unstemmed Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT
title_short Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)F]FDG and [(18)F]FLT PET/CT
title_sort radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [(18)f]fdg and [(18)f]flt pet/ct
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657912/
https://www.ncbi.nlm.nih.gov/pubmed/37980611
http://dx.doi.org/10.1186/s13244-023-01530-6
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