Comparison of mammography, digital breast tomosynthesis, automated breast ultrasound, magnetic resonance imaging in evaluation of residual tumor after neoadjuvant chemotherapy

医学 乳腺癌 乳腺摄影术 磁共振成像 组内相关 超声波 接收机工作特性 乳房磁振造影 放射科 核医学 技术 乳腺超声检查 癌症 内科学 临床心理学 心理测量学
作者
Jiyoon Park,Eun Young Chae,Joo Hee,Hee Jung Shin,Woo Jung Choi,Young-Wook Choi,Hak Hee Kim
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:108: 261-268 被引量:42
标识
DOI:10.1016/j.ejrad.2018.09.032
摘要

Background To compare the accuracy of mammography (MG), digital breast tomosynthesis (DBT), automated breast ultrasound (ABUS) and magnetic resonance imaging (MRI) for the assessment of residual tumor extent in breast cancer after neoadjuvant chemotherapy (NAC). Methods Fifty-one stage II-III breast cancer undergoing NAC were enrolled from March 2015 to December 2016. The longest diameter of residual tumor measured with MG, DBT, ABUS and MRI was compared with the pathologic tumor size. Statistical analysis was performed using intraclass correlation coefficients (ICC) and marginal homogeneity test. Receiver operating characteristics (ROC) analysis was used to evaluate the diagnostic performance for predicting pathologic complete response (pCR). Results MRI size correlated well with pathology (ICC = 0.83), significantly better than MG, DBT and ABUS size (ICC = 0.56, ICC = 0.63 and ICC = 0.55, respectively). The discrepancy between MRI and pathology was statistical different from that of MG and ABUS (p = 0.0231 and 0.0039, respectively), but not different from that of DBT (p = 0.5727). For predicting pCR, MRI and DBT had a better performance compared to MG and US (area under the ROC curve: 0.92, 0.84, 0.72, 0.75, respectively; p = 0.3749 for DBT, p = 0.0972 for MG and p = 0.0596 for ABUS, when MRI being reference). Conclusions MRI and DBT allow more accurate assessment of tumor size compared to pathology compared with MG and ABUS. MRI and DBT outperform MG and ABUS in the prediction of pathologic complete response.

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
刚刚
刚刚
CodeCraft应助LvYuJ采纳,获得10
1秒前
1秒前
1秒前
猫喵喵发布了新的文献求助10
1秒前
4秒前
4秒前
哈哈哈发布了新的文献求助10
4秒前
柠檬发布了新的文献求助10
4秒前
神经蛙发布了新的文献求助10
5秒前
YH发布了新的文献求助10
5秒前
aroseisarose完成签到,获得积分10
6秒前
6秒前
kakaable应助曲线采纳,获得10
7秒前
Super完成签到 ,获得积分10
9秒前
Tici发布了新的文献求助10
10秒前
lyon完成签到,获得积分10
11秒前
11秒前
约定完成签到,获得积分10
14秒前
仙兮熙完成签到 ,获得积分10
15秒前
Hello应助猫喵喵采纳,获得10
15秒前
totoro发布了新的文献求助10
17秒前
三千完成签到,获得积分10
18秒前
19秒前
科研通AI2S应助柠檬采纳,获得10
20秒前
21秒前
21秒前
23秒前
闵夜梦发布了新的文献求助20
24秒前
迅哥发布了新的文献求助10
26秒前
26秒前
wangji_2017完成签到,获得积分10
26秒前
猫喵喵完成签到,获得积分10
27秒前
憨憨完成签到,获得积分10
27秒前
Tici完成签到,获得积分10
28秒前
28秒前
梦华老师发布了新的文献求助10
29秒前
务实的一斩完成签到 ,获得积分10
30秒前
30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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6346037
求助须知:如何正确求助?哪些是违规求助? 8160699
关于积分的说明 17163254
捐赠科研通 5402145
什么是DOI,文献DOI怎么找? 2861031
邀请新用户注册赠送积分活动 1838920
关于科研通互助平台的介绍 1688189