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Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study
BACKGROUND: Multiparametric magnetic resonance imaging (MP-MRI) has high sensitivity for diagnosing breast cancers but cannot always be used as a routine diagnostic tool. The present study aimed to evaluate whether the diagnostic performance of perfluorobutane (PFB) contrast-enhanced ultrasound (CEU...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228005/ https://www.ncbi.nlm.nih.gov/pubmed/37254149 http://dx.doi.org/10.1186/s13058-023-01650-3 |
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author | Lang, Manlin Liang, Ping Shen, Huiming Li, Hang Yang, Ning Chen, Bo Chen, Yixu Ding, Hong Yang, Weiping Ji, Xiaohui Zhou, Ping Cui, ligang Wang, Jiandong Xu, Wentong Ye, Xiuqin Liu, Zhixing Yang, Yu Wei, Tianci Wang, Hui Yan, Yuanyuan Wu, Changjun Wu, Yiyun Shi, Jingwen Wang, Yaxi Fang, Xiuxia li, Ran Yu, Jie |
author_facet | Lang, Manlin Liang, Ping Shen, Huiming Li, Hang Yang, Ning Chen, Bo Chen, Yixu Ding, Hong Yang, Weiping Ji, Xiaohui Zhou, Ping Cui, ligang Wang, Jiandong Xu, Wentong Ye, Xiuqin Liu, Zhixing Yang, Yu Wei, Tianci Wang, Hui Yan, Yuanyuan Wu, Changjun Wu, Yiyun Shi, Jingwen Wang, Yaxi Fang, Xiuxia li, Ran Yu, Jie |
author_sort | Lang, Manlin |
collection | PubMed |
description | BACKGROUND: Multiparametric magnetic resonance imaging (MP-MRI) has high sensitivity for diagnosing breast cancers but cannot always be used as a routine diagnostic tool. The present study aimed to evaluate whether the diagnostic performance of perfluorobutane (PFB) contrast-enhanced ultrasound (CEUS) is similar to that of MP-MRI in breast cancer and whether combining the two methods would enhance diagnostic efficiency. PATIENTS AND METHODS: This was a head-to-head, prospective, multicenter study. Patients with breast lesions diagnosed by US as Breast Imaging Reporting and Data System (BI-RADS) categories 3, 4, and 5 underwent both PFB-CEUS and MP-MRI scans. On-site operators and three reviewers categorized the BI-RADS of all lesions on two images. Logistic-bootstrap 1000-sample analysis and cross-validation were used to construct PFB-CEUS, MP-MRI, and hybrid (PFB-CEUS + MP-MRI) models to distinguish breast lesions. RESULTS: In total, 179 women with 186 breast lesions were evaluated from 17 centers in China. The area under the receiver operating characteristic curve (AUC) for the PFB-CEUS model to diagnose breast cancer (0.89; 95% confidence interval [CI] 0.74, 0.97) was similar to that of the MP-MRI model (0.89; 95% CI 0.73, 0.97) (P = 0.85). The AUC of the hybrid model (0.92, 95% CI 0.77, 0.98) did not show a statistical advantage over the PFB-CEUS and MP-MRI models (P = 0.29 and 0.40, respectively). However, 90.3% false-positive and 66.7% false-negative results of PFB-CEUS radiologists and 90.5% false-positive and 42.8% false-negative results of MP-MRI radiologists could be corrected by the hybrid model. Three dynamic nomograms of PFB-CEUS, MP-MRI and hybrid models to diagnose breast cancer are freely available online. CONCLUSIONS: PFB-CEUS can be used in the differential diagnosis of breast cancer with comparable performance to MP-MRI and with less time consumption. Using PFB-CEUS and MP-MRI as joint diagnostics could further strengthen the diagnostic ability. Trial registration Clinicaltrials.gov; NCT04657328. Registered 26 September 2020. IRB number 2020-300 was approved in Chinese PLA General Hospital. Every patient signed a written informed consent form in each center. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01650-3. |
format | Online Article Text |
id | pubmed-10228005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102280052023-05-31 Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study Lang, Manlin Liang, Ping Shen, Huiming Li, Hang Yang, Ning Chen, Bo Chen, Yixu Ding, Hong Yang, Weiping Ji, Xiaohui Zhou, Ping Cui, ligang Wang, Jiandong Xu, Wentong Ye, Xiuqin Liu, Zhixing Yang, Yu Wei, Tianci Wang, Hui Yan, Yuanyuan Wu, Changjun Wu, Yiyun Shi, Jingwen Wang, Yaxi Fang, Xiuxia li, Ran Yu, Jie Breast Cancer Res Research BACKGROUND: Multiparametric magnetic resonance imaging (MP-MRI) has high sensitivity for diagnosing breast cancers but cannot always be used as a routine diagnostic tool. The present study aimed to evaluate whether the diagnostic performance of perfluorobutane (PFB) contrast-enhanced ultrasound (CEUS) is similar to that of MP-MRI in breast cancer and whether combining the two methods would enhance diagnostic efficiency. PATIENTS AND METHODS: This was a head-to-head, prospective, multicenter study. Patients with breast lesions diagnosed by US as Breast Imaging Reporting and Data System (BI-RADS) categories 3, 4, and 5 underwent both PFB-CEUS and MP-MRI scans. On-site operators and three reviewers categorized the BI-RADS of all lesions on two images. Logistic-bootstrap 1000-sample analysis and cross-validation were used to construct PFB-CEUS, MP-MRI, and hybrid (PFB-CEUS + MP-MRI) models to distinguish breast lesions. RESULTS: In total, 179 women with 186 breast lesions were evaluated from 17 centers in China. The area under the receiver operating characteristic curve (AUC) for the PFB-CEUS model to diagnose breast cancer (0.89; 95% confidence interval [CI] 0.74, 0.97) was similar to that of the MP-MRI model (0.89; 95% CI 0.73, 0.97) (P = 0.85). The AUC of the hybrid model (0.92, 95% CI 0.77, 0.98) did not show a statistical advantage over the PFB-CEUS and MP-MRI models (P = 0.29 and 0.40, respectively). However, 90.3% false-positive and 66.7% false-negative results of PFB-CEUS radiologists and 90.5% false-positive and 42.8% false-negative results of MP-MRI radiologists could be corrected by the hybrid model. Three dynamic nomograms of PFB-CEUS, MP-MRI and hybrid models to diagnose breast cancer are freely available online. CONCLUSIONS: PFB-CEUS can be used in the differential diagnosis of breast cancer with comparable performance to MP-MRI and with less time consumption. Using PFB-CEUS and MP-MRI as joint diagnostics could further strengthen the diagnostic ability. Trial registration Clinicaltrials.gov; NCT04657328. Registered 26 September 2020. IRB number 2020-300 was approved in Chinese PLA General Hospital. Every patient signed a written informed consent form in each center. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01650-3. BioMed Central 2023-05-30 2023 /pmc/articles/PMC10228005/ /pubmed/37254149 http://dx.doi.org/10.1186/s13058-023-01650-3 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lang, Manlin Liang, Ping Shen, Huiming Li, Hang Yang, Ning Chen, Bo Chen, Yixu Ding, Hong Yang, Weiping Ji, Xiaohui Zhou, Ping Cui, ligang Wang, Jiandong Xu, Wentong Ye, Xiuqin Liu, Zhixing Yang, Yu Wei, Tianci Wang, Hui Yan, Yuanyuan Wu, Changjun Wu, Yiyun Shi, Jingwen Wang, Yaxi Fang, Xiuxia li, Ran Yu, Jie Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study |
title | Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study |
title_full | Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study |
title_fullStr | Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study |
title_full_unstemmed | Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study |
title_short | Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study |
title_sort | head-to-head comparison of perfluorobutane contrast-enhanced us and multiparametric mri for breast cancer: a prospective, multicenter study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228005/ https://www.ncbi.nlm.nih.gov/pubmed/37254149 http://dx.doi.org/10.1186/s13058-023-01650-3 |
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