Assessment of quantitative dynamic contrast-enhanced MRI in distinguishing different histologic grades of breast phyllode tumor

医学 乳房磁振造影 神经组阅片室 放射科 乳腺肿瘤 核医学 乳腺癌 乳腺摄影术 分级(工程) 内科学 癌症 神经学 精神科 工程类 土木工程
作者
Zhilong Yi,Mingwei Xie,Guangzi Shi,Ziliang Cheng,Hong Zeng,Ningyi Jiang,Zhuo Wu
出处
期刊:European Radiology [Springer Nature]
卷期号:32 (3): 1601-1610 被引量:2
标识
DOI:10.1007/s00330-021-08232-x
摘要

To investigate whether quantitative DCE-MRI (qDCE-MRI) could help distinguish breast phyllodes tumor (PT) grades. This retrospective study included 67 breast PTs (26 benign lesions, 25 borderline lesions, and 16 malignant lesions) from April 2016 to July 2020. MRI was performed with a 1.5-T MR system. Perfusion parameters (Ktrans, kep, ve, iAUC60) derived from qDCE-MRI, tumor size, and the mean ADC value were correlated with histologic grades using Spearman’s rank correlation coefficient. Ktrans, kep, ve, and iAUC60 of three histologic grades were also calculated and compared. The Spearman correlation coefficient with histologic grade of the tumor size was 0.578 (p < 0.001); the ADC value was not correlated with histologic grades of breast PT (p = 0.059). The Ktrans, kep, ve, and iAUC60 of benign breast PTs were significantly lower than those of borderline breast PTs (p < 0.001) and lower than those of malignant breast PTs (p < 0.001). In comparison, the Ktrans, ve, and iAUC60 of borderline breast PTs were significantly lower than those of malignant breast PTs (p < 0.001, p < 0.001, p = 0.007, respectively). For ROC analysis, AUCs of Ktrans, ve, and iAUC60 were higher than tumor size and ADC value for differentiating three PT grades. Quantitative and semi-quantitative perfusion parameters (Ktrans, ve, and iAUC60, especially Ktrans) derived from qDCE-MRI showed better diagnosis efficiency than tumor size and ADC for grading breast PTs. Therefore, qDCE-MRI may be helpful for preoperative differentiating breast PT grades. • Quantitative dynamic contrast-enhanced MRI can be used as a complementary noninvasive method to improve the differential diagnosis of breast PT. • Ktrans, ve, and iAUC60 derived from qDCE-MRI showed better diagnosis efficiency than tumor size and ADC for grading breast PTs.
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
搜集达人应助科研通管家采纳,获得10
刚刚
斯文败类应助科研通管家采纳,获得10
1秒前
Owen应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
wjj发布了新的文献求助10
1秒前
汉堡包应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
彭于晏应助鱼与树采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得30
1秒前
Orange应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
1秒前
我是老大应助科研通管家采纳,获得10
1秒前
xiuxiu_27发布了新的文献求助10
1秒前
爆米花应助科研通管家采纳,获得10
1秒前
猪猪hero发布了新的文献求助10
1秒前
1秒前
思源应助科研通管家采纳,获得10
1秒前
桐桐应助科研通管家采纳,获得10
2秒前
在水一方应助科研通管家采纳,获得30
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
剑兰先生应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
3秒前
3秒前
Gaoge发布了新的文献求助10
3秒前
kimoto完成签到 ,获得积分10
4秒前
Tsuki完成签到,获得积分10
4秒前
4秒前
孙瞳完成签到,获得积分10
4秒前
小池同学完成签到,获得积分10
5秒前
JamesPei应助大白采纳,获得10
5秒前
mi发布了新的文献求助10
6秒前
小夭完成签到,获得积分10
6秒前
畅快自行车完成签到 ,获得积分10
6秒前
爱听歌的糖豆完成签到,获得积分10
6秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678