全氟丁烷增强超声造影和多参数MRI对乳腺癌的正面比较:一项前瞻性、多中心研究

Manlin Lang, Ping Liang, Huiming Shen, Hang Li, Ning Yang, Bo Chen, Yixu Chen, Hong Ding, Weiping Yang, Xiaohui Ji, Ping Zhou, Ligang Cui, Jiandong Wang, Wentong Xu, Xiuqin Ye, Zhixing Liu, Yu Yang, Tianci Wei, Hui Wang, Yuanyuan Yan, Changjun Wu, Yiyun Wu, Jingwen Shi, Yaxi Wang, Xiuxia Fang, Ran Li, Jie Yu
{"title":"全氟丁烷增强超声造影和多参数MRI对乳腺癌的正面比较:一项前瞻性、多中心研究","authors":"Manlin Lang,&nbsp;Ping Liang,&nbsp;Huiming Shen,&nbsp;Hang Li,&nbsp;Ning Yang,&nbsp;Bo Chen,&nbsp;Yixu Chen,&nbsp;Hong Ding,&nbsp;Weiping Yang,&nbsp;Xiaohui Ji,&nbsp;Ping Zhou,&nbsp;Ligang Cui,&nbsp;Jiandong Wang,&nbsp;Wentong Xu,&nbsp;Xiuqin Ye,&nbsp;Zhixing Liu,&nbsp;Yu Yang,&nbsp;Tianci Wei,&nbsp;Hui Wang,&nbsp;Yuanyuan Yan,&nbsp;Changjun Wu,&nbsp;Yiyun Wu,&nbsp;Jingwen Shi,&nbsp;Yaxi Wang,&nbsp;Xiuxia Fang,&nbsp;Ran Li,&nbsp;Jie Yu","doi":"10.1186/s13058-023-01650-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":9283,"journal":{"name":"Breast Cancer Research : BCR","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228005/pdf/","citationCount":"0","resultStr":"{\"title\":\"Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study.\",\"authors\":\"Manlin Lang,&nbsp;Ping Liang,&nbsp;Huiming Shen,&nbsp;Hang Li,&nbsp;Ning Yang,&nbsp;Bo Chen,&nbsp;Yixu Chen,&nbsp;Hong Ding,&nbsp;Weiping Yang,&nbsp;Xiaohui Ji,&nbsp;Ping Zhou,&nbsp;Ligang Cui,&nbsp;Jiandong Wang,&nbsp;Wentong Xu,&nbsp;Xiuqin Ye,&nbsp;Zhixing Liu,&nbsp;Yu Yang,&nbsp;Tianci Wei,&nbsp;Hui Wang,&nbsp;Yuanyuan Yan,&nbsp;Changjun Wu,&nbsp;Yiyun Wu,&nbsp;Jingwen Shi,&nbsp;Yaxi Wang,&nbsp;Xiuxia Fang,&nbsp;Ran Li,&nbsp;Jie Yu\",\"doi\":\"10.1186/s13058-023-01650-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":9283,\"journal\":{\"name\":\"Breast Cancer Research : BCR\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228005/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Breast Cancer Research : BCR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s13058-023-01650-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Cancer Research : BCR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13058-023-01650-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:多参数磁共振成像(MP-MRI)对乳腺癌的诊断具有很高的敏感性,但并不总是作为常规诊断工具。本研究旨在评价全氟丁烷(PFB)造影增强超声(CEUS)对乳腺癌的诊断效能是否与MP-MRI相似,两者结合是否能提高诊断效率。患者和方法:这是一项头对头、前瞻性、多中心研究。美国诊断为乳腺成像报告和数据系统(BI-RADS) 3、4和5类乳腺病变的患者同时进行PFB-CEUS和MP-MRI扫描。现场操作人员和三名评论者对两张图像上所有病变的BI-RADS进行分类。使用Logistic-bootstrap 1000样本分析和交叉验证构建PFB-CEUS、MP-MRI和混合(PFB-CEUS + MP-MRI)模型来区分乳腺病变。结果:来自中国17个中心的179名女性共评估了186个乳腺病变。PFB-CEUS模型诊断乳腺癌的受者工作特征曲线下面积(AUC) (0.89;95%可信区间[CI] 0.74, 0.97)与MP-MRI模型相似(0.89;95% ci 0.73, 0.97) (p = 0.85)。混合模型的AUC (0.92, 95% CI 0.77, 0.98)与PFB-CEUS和MP-MRI模型相比没有统计学上的优势(P分别= 0.29和0.40)。然而,PFB-CEUS放射科医师的90.3%假阳性和66.7%假阴性结果以及MP-MRI放射科医师的90.5%假阳性和42.8%假阴性结果可以通过混合模型得到纠正。PFB-CEUS, MP-MRI和混合模型诊断乳腺癌的三种动态图在网上免费提供。结论:PFB-CEUS可用于乳腺癌的鉴别诊断,其性能与MP-MRI相当,且耗时更短。采用PFB-CEUS与MP-MRI联合诊断可进一步增强诊断能力。临床试验。gov;NCT04657328。注册2020年9月26日IRB编号2020-300在中国人民解放军总医院获批。每个中心的每位患者都签署了一份书面知情同意书。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study.

Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study.

Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study.

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 (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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信