Enhanced Masses on Contrast‐Enhanced Breast: Differentiation Using a Combination of Dynamic Contrast‐Enhanced MRI and Quantitative Evaluation with Synthetic MRI

乳房磁振造影 动态增强MRI 医学 接收机工作特性 核医学 乳房成像 磁共振成像 逻辑回归 单变量分析 放射科 乳腺癌 动态对比度 多元分析 癌症 乳腺摄影术 内科学
作者
Megumi Matsuda,Takaharu Tsuda,Rui Ebihara,Wataru Toshimori,Shiori Takeda,Kanako Okada,Kaori Nakasuka,Yasuhiro Shiraishi,Hiroshi Suekuni,Yoshiaki Kamei,Mie Kurata,Riko Kitazawa,Teruhito Mochizuki,Teruhito Kido
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:53 (2): 381-391 被引量:40
标识
DOI:10.1002/jmri.27362
摘要

BACKGROUND: The addition of synthetic MRI might improve the diagnostic performance of dynamic contrast-enhanced MRI (DCE-MRI) in patients with breast cancer. PURPOSE: To evaluate the diagnostic value of a combination of DCE-MRI and quantitative evaluation using synthetic MRI for differentiation between benign and malignant breast masses. STUDY TYPE: Retrospective, observational. POPULATION: In all, 121 patients with 131 breast masses who underwent DCE-MRI with additional synthetic MRI were enrolled. FIELD STRENGTH/SEQUENCE: -weighted DCE-MRI and synthetic MRI acquired by a multiple-dynamic, multiple-echo sequence. ASSESSMENT: All lesions were differentiated as benign or malignant using the following three diagnostic methods: DCE-MRI type based on the Breast Imaging-Reporting and Data System; synthetic MRI type using quantitative evaluation values calculated by synthetic MRI; and a combination of the DCE-MRI + Synthetic MRI types. The diagnostic performance of the three methods were compared. STATISTICAL TESTS: Univariate (Mann-Whitney U-test) and multivariate (binomial logistic regression) analyses were performed, followed by receiver-operating characteristic curve (AUC) analysis. RESULTS: ) was the only significant quantitative value acquired by synthetic MRI that could independently differentiate between malignant and benign breast masses. The AUC for all enrolled breast masses assessed by DCE-MRI + Synthetic MRI type (0.83) was significantly greater than that for the DCE-MRI type (0.70, P < 0.05) or synthetic MRI type (0.73, P < 0.05). The AUC for category 4 masses assessed by the DCE-MRI + Synthetic MRI type was significantly greater than that for those assessed by the DCE-MRI type (0.74 vs. 0.50, P < 0.05). DATA CONCLUSION: A combination of synthetic MRI and DCE-MRI improves the accuracy of diagnosis of benign and malignant breast masses, especially category 4 masses. Level of Evidence 4 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2021;53:381-391.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
韦恩完成签到 ,获得积分10
2秒前
suzhu完成签到,获得积分10
2秒前
啊伟发布了新的文献求助10
3秒前
3秒前
ZHENZHEN发布了新的文献求助10
3秒前
4秒前
5秒前
jack1完成签到,获得积分10
5秒前
suzhu发布了新的文献求助30
6秒前
杨佳楠发布了新的文献求助10
7秒前
科研通AI6.4应助张二十八采纳,获得10
8秒前
Wwww完成签到 ,获得积分10
8秒前
直率的三问完成签到 ,获得积分10
9秒前
10秒前
破忒头完成签到,获得积分10
10秒前
李爱国应助可靠铸海采纳,获得10
10秒前
科研狗应助阿晚采纳,获得30
11秒前
12秒前
ilmadf发布了新的文献求助10
14秒前
Lutras发布了新的文献求助10
15秒前
komorebi完成签到,获得积分10
15秒前
Jin完成签到,获得积分20
16秒前
16秒前
18秒前
小丁同学完成签到,获得积分0
18秒前
19秒前
20秒前
20秒前
杨佳楠完成签到,获得积分20
20秒前
科研乞丐发布了新的文献求助10
22秒前
王博士发布了新的文献求助10
23秒前
23秒前
25秒前
25秒前
刻苦碧彤发布了新的文献求助10
26秒前
26秒前
充电宝应助li采纳,获得10
26秒前
热心的梦桃完成签到,获得积分10
29秒前
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7595178
求助须知:如何正确求助?哪些是违规求助? 9171949
关于积分的说明 19633791
捐赠科研通 7172523
什么是DOI,文献DOI怎么找? 3267793
关于科研通互助平台的介绍 2432592
邀请新用户注册赠送积分活动 2260843