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Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography

The classification according to uptake patterns and metabolic parameters on ring-type dedicated breast positron emission tomography (dbPET) is useful for detecting breast cancer. This study investigated the performance of dbPET for incidental findings that were not detected by mammography and ultras...

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Autores principales: Sasada, Shinsuke, Masumoto, Norio, Emi, Akiko, Kadoya, Takayuki, Okada, Morihito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782852/
https://www.ncbi.nlm.nih.gov/pubmed/35064184
http://dx.doi.org/10.1038/s41598-022-05166-2
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author Sasada, Shinsuke
Masumoto, Norio
Emi, Akiko
Kadoya, Takayuki
Okada, Morihito
author_facet Sasada, Shinsuke
Masumoto, Norio
Emi, Akiko
Kadoya, Takayuki
Okada, Morihito
author_sort Sasada, Shinsuke
collection PubMed
description The classification according to uptake patterns and metabolic parameters on ring-type dedicated breast positron emission tomography (dbPET) is useful for detecting breast cancer. This study investigated the performance of dbPET for incidental findings that were not detected by mammography and ultrasonography. In 1,076 patients with breast cancer who underwent dbPET, 276 findings were incidentally diagnosed before treatment. Each finding was categorized as focus (uptake size ≤ 5 mm), mass (> 5 mm), or non-mass (multiple uptake) according to uptake patterns. Non-mass uptakes were additionally classified based on their distributions as—linear, focal, segmental, regional, or diffuse. Thirty-two findings (11.6%) were malignant and 244 (88.4%) were benign. Visually, 227 (82.3%) findings were foci, 7 (2.5%) were masses, and 42 (15.2%) were non-masses. Malignant rates of focus, mass, and non-mass were 9.7%, 28.6%, and 19.0%, respectively. In the non-mass findings, 23 were regional and diffuse distributions, and presented as benign lesions. Focus uptake with low lesion-to-background ratio (LBR) and no hereditary risk were relatively low (2.7%) in breast cancer. In multivariate analysis, LBR and hereditary risk were significantly associated with breast cancer (p = 0.006 and p = 0.013, respectively). Uptake patterns, LBR, and hereditary risk are useful for predicting breast cancer risk in incidental dbPET findings.
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spelling pubmed-87828522022-01-24 Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography Sasada, Shinsuke Masumoto, Norio Emi, Akiko Kadoya, Takayuki Okada, Morihito Sci Rep Article The classification according to uptake patterns and metabolic parameters on ring-type dedicated breast positron emission tomography (dbPET) is useful for detecting breast cancer. This study investigated the performance of dbPET for incidental findings that were not detected by mammography and ultrasonography. In 1,076 patients with breast cancer who underwent dbPET, 276 findings were incidentally diagnosed before treatment. Each finding was categorized as focus (uptake size ≤ 5 mm), mass (> 5 mm), or non-mass (multiple uptake) according to uptake patterns. Non-mass uptakes were additionally classified based on their distributions as—linear, focal, segmental, regional, or diffuse. Thirty-two findings (11.6%) were malignant and 244 (88.4%) were benign. Visually, 227 (82.3%) findings were foci, 7 (2.5%) were masses, and 42 (15.2%) were non-masses. Malignant rates of focus, mass, and non-mass were 9.7%, 28.6%, and 19.0%, respectively. In the non-mass findings, 23 were regional and diffuse distributions, and presented as benign lesions. Focus uptake with low lesion-to-background ratio (LBR) and no hereditary risk were relatively low (2.7%) in breast cancer. In multivariate analysis, LBR and hereditary risk were significantly associated with breast cancer (p = 0.006 and p = 0.013, respectively). Uptake patterns, LBR, and hereditary risk are useful for predicting breast cancer risk in incidental dbPET findings. Nature Publishing Group UK 2022-01-21 /pmc/articles/PMC8782852/ /pubmed/35064184 http://dx.doi.org/10.1038/s41598-022-05166-2 Text en © The Author(s) 2022 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 Article
Sasada, Shinsuke
Masumoto, Norio
Emi, Akiko
Kadoya, Takayuki
Okada, Morihito
Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
title Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
title_full Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
title_fullStr Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
title_full_unstemmed Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
title_short Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
title_sort malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782852/
https://www.ncbi.nlm.nih.gov/pubmed/35064184
http://dx.doi.org/10.1038/s41598-022-05166-2
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