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 Science+Business Media]
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.

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
Lin_Focus完成签到,获得积分10
刚刚
sengseng完成签到,获得积分10
1秒前
曾经碧蓉完成签到,获得积分10
1秒前
fanch1122完成签到,获得积分10
1秒前
margaret发布了新的文献求助10
1秒前
2秒前
瓜兵是官爷完成签到,获得积分10
3秒前
guse完成签到 ,获得积分10
3秒前
wythu16完成签到,获得积分10
3秒前
dawd12完成签到,获得积分10
3秒前
今天完成签到,获得积分10
3秒前
冯宇完成签到,获得积分10
4秒前
风暴战斧完成签到,获得积分10
4秒前
luckypig发布了新的文献求助10
4秒前
神奇的种子完成签到 ,获得积分10
4秒前
羽婕完成签到,获得积分10
5秒前
mryun完成签到,获得积分10
5秒前
啦哈啦哈啦完成签到,获得积分10
5秒前
小马过河完成签到,获得积分10
5秒前
Hannah完成签到,获得积分10
5秒前
Orange应助明理的音响采纳,获得30
6秒前
毕院士完成签到,获得积分10
6秒前
快乐觅波发布了新的文献求助10
6秒前
炸薯条大王完成签到,获得积分10
6秒前
jacob发布了新的文献求助10
6秒前
高挑的小蕊完成签到,获得积分10
6秒前
无限的板栗完成签到 ,获得积分10
6秒前
todo完成签到,获得积分10
7秒前
儒雅的若翠完成签到,获得积分0
7秒前
llk完成签到,获得积分10
7秒前
fcc完成签到 ,获得积分10
7秒前
zhangfengyu玉完成签到 ,获得积分10
7秒前
LLL完成签到,获得积分10
8秒前
你好完成签到,获得积分20
8秒前
在水一方应助yangts2021采纳,获得10
8秒前
知了完成签到,获得积分10
8秒前
zyx完成签到 ,获得积分10
8秒前
zzzlll完成签到,获得积分10
8秒前
牧之完成签到,获得积分10
8秒前
单薄的冥茗完成签到,获得积分10
8秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7579814
求助须知:如何正确求助?哪些是违规求助? 9159288
关于积分的说明 19594255
捐赠科研通 7162441
什么是DOI,文献DOI怎么找? 3265750
关于科研通互助平台的介绍 2430774
邀请新用户注册赠送积分活动 2256569