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The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions

BACKGROUND: The upgrade of high-risk breast lesions (HRLs) is closely related to subsequent treatment, but the current predictors for upgrade are limited to intratumoral features of single imaging mode. METHODS: We retrospectively reviewed 230 HRLs detected by mammography, ultrasound, and magnetic r...

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Autores principales: Zhou, Jiayin, Sun, Shiyun, Lin, Luyi, Jiang, Tingting, Hu, Xiaoxin, Gu, Yajia, You, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445707/
https://www.ncbi.nlm.nih.gov/pubmed/36082087
http://dx.doi.org/10.21037/gs-22-155
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author Zhou, Jiayin
Sun, Shiyun
Lin, Luyi
Jiang, Tingting
Hu, Xiaoxin
Gu, Yajia
You, Chao
author_facet Zhou, Jiayin
Sun, Shiyun
Lin, Luyi
Jiang, Tingting
Hu, Xiaoxin
Gu, Yajia
You, Chao
author_sort Zhou, Jiayin
collection PubMed
description BACKGROUND: The upgrade of high-risk breast lesions (HRLs) is closely related to subsequent treatment, but the current predictors for upgrade are limited to intratumoral features of single imaging mode. METHODS: We retrospectively reviewed 230 HRLs detected by mammography, ultrasound, and magnetic resonance imaging (MRI) before biopsy at the Fudan University Cancer Hospital from January 2017 to March 2018. The clinical features, imaging data according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon, and tumor upgrade situation were received. Based on the different risks of upgrade reported, the lesions were classified into high-risk I [HR-I, with atypical hyperplasia (AH)] and high-risk II (HR-II, without AH). We analyzed the association between clinicopathological and imaging factors and upgrade. We used the receiver operating characteristic (ROC) curve to compare the efficacy of three imaging modes for predicting upgrade. RESULTS: We included 230 HRLs in 230 women in the study, and the overall upgrade rate was 20.4% (47/230). The upgrade rate was higher in HR-I compared to HR-II (38.5% vs. 4.1%, P<0.01). In patients with AH, estrogen receptor-positive (ER+) patients accounted for 81.0% (64/79). For all HRLs and HR-I, in clinical characteristics, age, maximum size of lesion, and menopausal status were significantly associated with upgrade (P<0.05). In imaging factors, MRI background parenchymal enhancement (BPE), signs of MRI and ultrasound were significantly correlated with upgrade (P<0.05). Patients with negative MRI or ultrasound manifestations had lower upgrade rates (P<0.01). For HR-II, only BPE showed a significant difference between groups (P=0.001). Multifactorial analysis of all HRLs showed that age and BPE were independent predictors of upgrade (P<0.01). The areas under the ROC cure (AUCs) for predicting upgrade in mammography, ultrasound, and MRI were 0.606, 0.590, and 0.913, respectively, indicating that MRI diagnosis was significantly better than mammography and ultrasound (P<0.001). CONCLUSIONS: HRLs with AH had a higher rate of upgrade and increased ER expression. Among three imaging modes, MRI was more effective than ultrasound and mammography in diagnosing the upgrade of HRLs. Older age and moderate to marked BPE can indicate malignant upgrade. MRI can provide a certain value for the diagnosis and follow-up of HRLs.
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spelling pubmed-94457072022-09-07 The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions Zhou, Jiayin Sun, Shiyun Lin, Luyi Jiang, Tingting Hu, Xiaoxin Gu, Yajia You, Chao Gland Surg Original Article BACKGROUND: The upgrade of high-risk breast lesions (HRLs) is closely related to subsequent treatment, but the current predictors for upgrade are limited to intratumoral features of single imaging mode. METHODS: We retrospectively reviewed 230 HRLs detected by mammography, ultrasound, and magnetic resonance imaging (MRI) before biopsy at the Fudan University Cancer Hospital from January 2017 to March 2018. The clinical features, imaging data according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon, and tumor upgrade situation were received. Based on the different risks of upgrade reported, the lesions were classified into high-risk I [HR-I, with atypical hyperplasia (AH)] and high-risk II (HR-II, without AH). We analyzed the association between clinicopathological and imaging factors and upgrade. We used the receiver operating characteristic (ROC) curve to compare the efficacy of three imaging modes for predicting upgrade. RESULTS: We included 230 HRLs in 230 women in the study, and the overall upgrade rate was 20.4% (47/230). The upgrade rate was higher in HR-I compared to HR-II (38.5% vs. 4.1%, P<0.01). In patients with AH, estrogen receptor-positive (ER+) patients accounted for 81.0% (64/79). For all HRLs and HR-I, in clinical characteristics, age, maximum size of lesion, and menopausal status were significantly associated with upgrade (P<0.05). In imaging factors, MRI background parenchymal enhancement (BPE), signs of MRI and ultrasound were significantly correlated with upgrade (P<0.05). Patients with negative MRI or ultrasound manifestations had lower upgrade rates (P<0.01). For HR-II, only BPE showed a significant difference between groups (P=0.001). Multifactorial analysis of all HRLs showed that age and BPE were independent predictors of upgrade (P<0.01). The areas under the ROC cure (AUCs) for predicting upgrade in mammography, ultrasound, and MRI were 0.606, 0.590, and 0.913, respectively, indicating that MRI diagnosis was significantly better than mammography and ultrasound (P<0.001). CONCLUSIONS: HRLs with AH had a higher rate of upgrade and increased ER expression. Among three imaging modes, MRI was more effective than ultrasound and mammography in diagnosing the upgrade of HRLs. Older age and moderate to marked BPE can indicate malignant upgrade. MRI can provide a certain value for the diagnosis and follow-up of HRLs. AME Publishing Company 2022-08 /pmc/articles/PMC9445707/ /pubmed/36082087 http://dx.doi.org/10.21037/gs-22-155 Text en 2022 Gland Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zhou, Jiayin
Sun, Shiyun
Lin, Luyi
Jiang, Tingting
Hu, Xiaoxin
Gu, Yajia
You, Chao
The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
title The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
title_full The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
title_fullStr The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
title_full_unstemmed The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
title_short The value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
title_sort value of imaging combined with clinicopathological features in the diagnosis of high-risk breast lesions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445707/
https://www.ncbi.nlm.nih.gov/pubmed/36082087
http://dx.doi.org/10.21037/gs-22-155
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