The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis.

IF 4.7 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Radiology Pub Date : 2024-10-01 Epub Date: 2024-03-21 DOI:10.1007/s00330-024-10690-y

Yoav Amitai, Vivianne A R Freitas, Orit Golan, Rivka Kessner, Tamar Shalmon, Rina Neeman, Michal Mauda-Havakuk, Diego Mercer, Miri Sklair-Levy, Tehillah S Menes

{"title":"The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis.","authors":"Yoav Amitai, Vivianne A R Freitas, Orit Golan, Rivka Kessner, Tamar Shalmon, Rina Neeman, Michal Mauda-Havakuk, Diego Mercer, Miri Sklair-Levy, Tehillah S Menes","doi":"10.1007/s00330-024-10690-y","DOIUrl":null,"url":null,"abstract":"Objectives: To assess the diagnostic performance of ultrafast magnetic resonance imaging (UF-DCE MRI) in differentiating benign from malignant breast lesions.Materials and methods: A comprehensive search was conducted until September 1, 2023, in Medline, Embase, and Cochrane databases. Clinical studies evaluating the diagnostic performance of UF-DCE MRI in breast lesion stratification were screened and included in the meta-analysis. Pooled summary estimates for sensitivity, specificity, diagnostic odds ratio (DOR), and hierarchic summary operating characteristics (SROC) curves were pooled under the random-effects model. Publication bias and heterogeneity between studies were calculated.Results: A final set of 16 studies analyzing 2090 lesions met the inclusion criteria and were incorporated into the meta-analysis. Using UF-DCE MRI kinetic parameters, the pooled sensitivity, specificity, DOR, and area under the curve (AUC) for differentiating benign from malignant breast lesions were 83% (95% CI 79-88%), 77% (95% CI 72-83%), 18.9 (95% CI 13.7-26.2), and 0.876 (95% CI 0.83-0.887), respectively. We found no significant difference in diagnostic accuracy between the two main UF-DCE MRI kinetic parameters, maximum slope (MS) and time to enhancement (TTE). DOR and SROC exhibited low heterogeneity across the included studies. No evidence of publication bias was identified (p = 0.585).Conclusions: UF-DCE MRI as a stand-alone technique has high accuracy in discriminating benign from malignant breast lesions.Clinical relevance statement: UF-DCE MRI has the potential to obtain kinetic information and stratify breast lesions accurately while decreasing scan times, which may offer significant benefit to patients.Key points: • Ultrafast breast MRI is a novel technique which captures kinetic information with very high temporal resolution. • The kinetic parameters of ultrafast breast MRI demonstrate a high level of accuracy in distinguishing between benign and malignant breast lesions. • There is no significant difference in accuracy between maximum slope and time to enhancement kinetic parameters.","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11399157/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00330-024-10690-y","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives: To assess the diagnostic performance of ultrafast magnetic resonance imaging (UF-DCE MRI) in differentiating benign from malignant breast lesions.

Materials and methods: A comprehensive search was conducted until September 1, 2023, in Medline, Embase, and Cochrane databases. Clinical studies evaluating the diagnostic performance of UF-DCE MRI in breast lesion stratification were screened and included in the meta-analysis. Pooled summary estimates for sensitivity, specificity, diagnostic odds ratio (DOR), and hierarchic summary operating characteristics (SROC) curves were pooled under the random-effects model. Publication bias and heterogeneity between studies were calculated.

Results: A final set of 16 studies analyzing 2090 lesions met the inclusion criteria and were incorporated into the meta-analysis. Using UF-DCE MRI kinetic parameters, the pooled sensitivity, specificity, DOR, and area under the curve (AUC) for differentiating benign from malignant breast lesions were 83% (95% CI 79-88%), 77% (95% CI 72-83%), 18.9 (95% CI 13.7-26.2), and 0.876 (95% CI 0.83-0.887), respectively. We found no significant difference in diagnostic accuracy between the two main UF-DCE MRI kinetic parameters, maximum slope (MS) and time to enhancement (TTE). DOR and SROC exhibited low heterogeneity across the included studies. No evidence of publication bias was identified (p = 0.585).

Conclusions: UF-DCE MRI as a stand-alone technique has high accuracy in discriminating benign from malignant breast lesions.

Clinical relevance statement: UF-DCE MRI has the potential to obtain kinetic information and stratify breast lesions accurately while decreasing scan times, which may offer significant benefit to patients.

Key points: • Ultrafast breast MRI is a novel technique which captures kinetic information with very high temporal resolution. • The kinetic parameters of ultrafast breast MRI demonstrate a high level of accuracy in distinguishing between benign and malignant breast lesions. • There is no significant difference in accuracy between maximum slope and time to enhancement kinetic parameters.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

超快磁共振成像区分乳腺良性和恶性病变的诊断性能：系统综述和荟萃分析。

目的评估超快磁共振成像（UF-DCE MRI）在区分乳腺良性和恶性病变方面的诊断性能：在 Medline、Embase 和 Cochrane 数据库中进行全面检索，直至 2023 年 9 月 1 日。筛选出评估 UF-DCE MRI 在乳腺病变分层中诊断性能的临床研究，并将其纳入荟萃分析。在随机效应模型下，对敏感性、特异性、诊断几率比（DOR）和分层汇总操作特征曲线（SROC）的汇总估计值进行了汇总。计算了研究之间的发表偏倚和异质性：最终有 16 项研究（分析了 2090 个病灶）符合纳入标准，并被纳入荟萃分析。使用 UF-DCE MRI 动力学参数，区分良性和恶性乳腺病变的汇总灵敏度、特异性、DOR 和曲线下面积（AUC）分别为 83% (95% CI 79-88%)、77% (95% CI 72-83%)、18.9 (95% CI 13.7-26.2) 和 0.876 (95% CI 0.83-0.887)。我们发现，UF-DCE MRI 的两个主要动力学参数--最大斜率（MS）和增强时间（TTE）--在诊断准确性上没有明显差异。纳入研究的 DOR 和 SROC 显示出较低的异质性。未发现发表偏倚的证据（P = 0.585）：结论：UF-DCE MRI 作为一种独立的技术，在鉴别乳腺良性和恶性病变方面具有很高的准确性：临床相关性声明：超快乳腺磁共振成像（UF-DCE MRI）有可能获得动力学信息并对乳腺病变进行准确分层，同时减少扫描时间，这可能会给患者带来显著的益处：- 要点：超快乳腺磁共振成像是一种新型技术，能以极高的时间分辨率捕捉动力学信息。- 超快乳腺磁共振成像的动力学参数在区分乳腺良性和恶性病变方面具有很高的准确性。- 最大斜率和增强时间这两个动力学参数的准确性没有明显差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

European Radiology 医学-核医学

CiteScore

11.60

自引率

8.50%

发文量

874

审稿时长

2-4 weeks

期刊介绍： European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.