Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Iris Allajbeu, Muzna Nanaa, Roido Manavaki, Vasiliki Papalouka, Ioana Bene, Nicholas Payne, Elisabetta Giannotti, Thiemo van Nijnatten, Fleur Kilburn-Toppin, Nuala Healy, Fiona Gilbert
{"title":"Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.","authors":"Iris Allajbeu, Muzna Nanaa, Roido Manavaki, Vasiliki Papalouka, Ioana Bene, Nicholas Payne, Elisabetta Giannotti, Thiemo van Nijnatten, Fleur Kilburn-Toppin, Nuala Healy, Fiona Gilbert","doi":"10.1007/s00330-025-11501-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To analyze qualitative and quantitative enhancement of breast lesions on CEM and their impact on specificity and overall diagnostic performance in predicting malignancy. A secondary objective was to compare lesion enhancement patterns between CEM and contrast-enhanced (CE)-MRI.</p><p><strong>Methods: </strong>The cohort included screening and symptomatic cases from CEM research studies (December 2016-March 2023) with an identifiable lesion. Three breast radiologists independently assessed lesion conspicuity as low, moderate, or high, based on the BI-RADS CEM lexicon. Lesion enhancement was quantified by drawing two regions of interest representing lesion and background parenchyma, to calculate contrast enhancement from the early (CE<sub>early</sub>) and late (CE<sub>late</sub>) views. Area-under-the-curve (AUC) was used to assess diagnostic performance, with thresholds determined using the maximum Youden index. Cohen's κ was used to measure agreement between CEM and DCE-MRI enhancement patterns. p-values < 0.05 were deemed statistically significant.</p><p><strong>Results: </strong>From 503 CEM studies, 143 BI-RADS 2-5 lesions were analyzed. Lesion conspicuity was significantly associated with lesion histology (p < 0.001), contrast enhancement metrics (CE<sub>early</sub>, CE<sub>late</sub>), and enhancement patterns on CEM recombined images. CE<sub>early</sub> performed better in differentiating malignant from benign lesions or background parenchymal enhancement (BPE), with AUC values of 0.83 and 0.88 and 90% specificity in distinguishing BPE from cancers. There was fair/moderate agreement between lesion enhancement patterns on CEM and DCE-MRI (Cohen's κ = 0.35, p < 0.001), with a higher agreement for lesions exhibiting a wash-out pattern (Cohen's κ = 0.5, p < 0.001).</p><p><strong>Conclusion: </strong>Both conspicuity and quantification of lesion enhancement can improve CEM specificity in predicting malignancy, with CE<sub>early</sub> offering the best diagnostic performance.</p><p><strong>Key points: </strong>Question Quantifying lesion enhancement conspicuity on contrast-enhanced mammography (CEM) has demonstrated potential in differentiating malignancy from benign lesions and BPE. Finding Contrast from the early recombined view (CEearly) performed better in discriminating malignant from benign lesions and BPE, with 90% specificity for BPE vs cancers. Clinical relevance Conspicuity and quantification of lesion enhancement on CEM can improve the specificity and overall diagnostic performance of CEM in cancer detection. Implementation of conspicuity thresholds in routine CEM interpretation could potentially reduce unnecessary recalls and benign biopsies.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00330-025-11501-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: To analyze qualitative and quantitative enhancement of breast lesions on CEM and their impact on specificity and overall diagnostic performance in predicting malignancy. A secondary objective was to compare lesion enhancement patterns between CEM and contrast-enhanced (CE)-MRI.

Methods: The cohort included screening and symptomatic cases from CEM research studies (December 2016-March 2023) with an identifiable lesion. Three breast radiologists independently assessed lesion conspicuity as low, moderate, or high, based on the BI-RADS CEM lexicon. Lesion enhancement was quantified by drawing two regions of interest representing lesion and background parenchyma, to calculate contrast enhancement from the early (CEearly) and late (CElate) views. Area-under-the-curve (AUC) was used to assess diagnostic performance, with thresholds determined using the maximum Youden index. Cohen's κ was used to measure agreement between CEM and DCE-MRI enhancement patterns. p-values < 0.05 were deemed statistically significant.

Results: From 503 CEM studies, 143 BI-RADS 2-5 lesions were analyzed. Lesion conspicuity was significantly associated with lesion histology (p < 0.001), contrast enhancement metrics (CEearly, CElate), and enhancement patterns on CEM recombined images. CEearly performed better in differentiating malignant from benign lesions or background parenchymal enhancement (BPE), with AUC values of 0.83 and 0.88 and 90% specificity in distinguishing BPE from cancers. There was fair/moderate agreement between lesion enhancement patterns on CEM and DCE-MRI (Cohen's κ = 0.35, p < 0.001), with a higher agreement for lesions exhibiting a wash-out pattern (Cohen's κ = 0.5, p < 0.001).

Conclusion: Both conspicuity and quantification of lesion enhancement can improve CEM specificity in predicting malignancy, with CEearly offering the best diagnostic performance.

Key points: Question Quantifying lesion enhancement conspicuity on contrast-enhanced mammography (CEM) has demonstrated potential in differentiating malignancy from benign lesions and BPE. Finding Contrast from the early recombined view (CEearly) performed better in discriminating malignant from benign lesions and BPE, with 90% specificity for BPE vs cancers. Clinical relevance Conspicuity and quantification of lesion enhancement on CEM can improve the specificity and overall diagnostic performance of CEM in cancer detection. Implementation of conspicuity thresholds in routine CEM interpretation could potentially reduce unnecessary recalls and benign biopsies.

通过病变显著性和增强量化提高乳腺造影的诊断效能。
目的:分析乳腺病变在CEM上的定性和定量增强及其对预测恶性肿瘤的特异性和总体诊断性能的影响。次要目的是比较CEM和对比增强(CE)-MRI之间的病变增强模式。方法:该队列包括筛查和有症状的CEM研究(2016年12月- 2023年3月)中可识别病变的病例。三位乳腺放射科医生根据BI-RADS CEM词汇独立评估病变显著性为低、中、高。通过绘制代表病变和背景实质的两个感兴趣区域来量化病变增强,从早期(CEearly)和晚期(CElate)视图计算对比度增强。曲线下面积(AUC)用于评估诊断性能,使用最大约登指数确定阈值。Cohen's κ用于测量CEM和DCE-MRI增强模式之间的一致性。p值结果:从503个CEM研究中,分析了143个BI-RADS 2-5病变。病变的显著性与病变组织学(p早期,CElate)和CEM重组图像的增强模式显著相关。CEearly在区分良恶性病变或背景实质增强(BPE)方面表现较好,AUC值分别为0.83和0.88,区分BPE与癌症的特异性为90%。CEM和DCE-MRI的病灶增强模式具有中等一致性(Cohen’s κ = 0.35, p)。结论:病灶增强的显著性和量化都能提高CEM预测恶性肿瘤的特异性,CEearly的诊断效果最好。量化对比增强乳房x线摄影(CEM)上病变增强的显著性已经证明了区分恶性、良性病变和BPE的潜力。从早期重组视图(CEearly)对比在区分良性病变和BPE方面表现更好,BPE与癌症的特异性为90%。病灶增强在CEM上的显著性和量化可以提高CEM在癌症检测中的特异性和整体诊断效能。在常规CEM解释中实施显著性阈值可以潜在地减少不必要的召回和良性活检。
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 求助全文
来源期刊
European Radiology
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.
×
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