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(18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule

BACKGROUND: The main purpose is to explore the use of visual assessment of the heterogeneous distribution of (18)F-FDG in single pulmonary solid lesions to differentiate the benign from the malignant. METHODS: The 200 cases of pulmonary nodules or masses examined by (18)F-FDG PET/CT were retrospecti...

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Autores principales: Zhou, Nina, Zhang, Annan, Su, Hua, Zhao, Wei, Li, Nan, Yang, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583886/
https://www.ncbi.nlm.nih.gov/pubmed/36276149
http://dx.doi.org/10.3389/fonc.2022.983833
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author Zhou, Nina
Zhang, Annan
Su, Hua
Zhao, Wei
Li, Nan
Yang, Zhi
author_facet Zhou, Nina
Zhang, Annan
Su, Hua
Zhao, Wei
Li, Nan
Yang, Zhi
author_sort Zhou, Nina
collection PubMed
description BACKGROUND: The main purpose is to explore the use of visual assessment of the heterogeneous distribution of (18)F-FDG in single pulmonary solid lesions to differentiate the benign from the malignant. METHODS: The 200 cases of pulmonary nodules or masses examined by (18)F-FDG PET/CT were retrospectively analyzed. The heterogeneity of (18)F-FDG distribution of the lesion was visually and quantitatively evaluated and the higher part of metabolism was observed and measured at the proximal or distal part to determine the lesion nature. The sensitivity, specificity, PPV, NPV, and accuracy of this method were calculated. RESULTS: Total 171 pulmonary lesions showed heterogeneity of (18)F-FDG uptake, including the 111 malignant and 60 benign. 54/60 (90.00%) benign lesions showed higher (18)F-FDG uptake visually at distal part, while 104/111 (93.69%) malignant lesions showed higher (18)F-FDG uptake visually at the proximal part. This visual method has good repeatability with a high kappa value (0.821, p<0.001). 52/60 (86.67%) benign lesions showed higher (18)F-FDG uptake quantitatively at distal part, while 107/111 (96.40%) malignant lesions showed higher (18)F-FDG uptake quantitatively at the proximal part. The sensitivity, specificity, PPV, NPV and accuracy of visual and quantitative methods were 93.69%; 96.40%, 90.0%; 86.67%, 94.55%; 93.04%, 88.52%; 92.86%, 92.40%; 92.98%, respectively (p<0.001). When combining the metabolic value and morphological characteristics of PET/CT with visual (18)F-FDG heterogeneous features, the accuracy reached to 98.25%. The other 29 lesions (14.5%) with no heterogeneity were smaller (2.17 ± 1.06 vs 3.58 ± 1.48, P<0.001). CONCLUSIONS: Benign and malignant lung lesions showed different heterogeneity of (18)F-FDG uptake. Lung cancer can be effectively distinguished from infectious or inflammatory lesions by this simple and convenient method.
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spelling pubmed-95838862022-10-21 (18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule Zhou, Nina Zhang, Annan Su, Hua Zhao, Wei Li, Nan Yang, Zhi Front Oncol Oncology BACKGROUND: The main purpose is to explore the use of visual assessment of the heterogeneous distribution of (18)F-FDG in single pulmonary solid lesions to differentiate the benign from the malignant. METHODS: The 200 cases of pulmonary nodules or masses examined by (18)F-FDG PET/CT were retrospectively analyzed. The heterogeneity of (18)F-FDG distribution of the lesion was visually and quantitatively evaluated and the higher part of metabolism was observed and measured at the proximal or distal part to determine the lesion nature. The sensitivity, specificity, PPV, NPV, and accuracy of this method were calculated. RESULTS: Total 171 pulmonary lesions showed heterogeneity of (18)F-FDG uptake, including the 111 malignant and 60 benign. 54/60 (90.00%) benign lesions showed higher (18)F-FDG uptake visually at distal part, while 104/111 (93.69%) malignant lesions showed higher (18)F-FDG uptake visually at the proximal part. This visual method has good repeatability with a high kappa value (0.821, p<0.001). 52/60 (86.67%) benign lesions showed higher (18)F-FDG uptake quantitatively at distal part, while 107/111 (96.40%) malignant lesions showed higher (18)F-FDG uptake quantitatively at the proximal part. The sensitivity, specificity, PPV, NPV and accuracy of visual and quantitative methods were 93.69%; 96.40%, 90.0%; 86.67%, 94.55%; 93.04%, 88.52%; 92.86%, 92.40%; 92.98%, respectively (p<0.001). When combining the metabolic value and morphological characteristics of PET/CT with visual (18)F-FDG heterogeneous features, the accuracy reached to 98.25%. The other 29 lesions (14.5%) with no heterogeneity were smaller (2.17 ± 1.06 vs 3.58 ± 1.48, P<0.001). CONCLUSIONS: Benign and malignant lung lesions showed different heterogeneity of (18)F-FDG uptake. Lung cancer can be effectively distinguished from infectious or inflammatory lesions by this simple and convenient method. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9583886/ /pubmed/36276149 http://dx.doi.org/10.3389/fonc.2022.983833 Text en Copyright © 2022 Zhou, Zhang, Su, Zhao, Li and Yang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhou, Nina
Zhang, Annan
Su, Hua
Zhao, Wei
Li, Nan
Yang, Zhi
(18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
title (18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
title_full (18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
title_fullStr (18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
title_full_unstemmed (18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
title_short (18)F-FDG distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
title_sort (18)f-fdg distribution pattern improves the diagnostic accuracy of single pulmonary solid nodule
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583886/
https://www.ncbi.nlm.nih.gov/pubmed/36276149
http://dx.doi.org/10.3389/fonc.2022.983833
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