MRI Measurements of Breast Tumor Volume Predict Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival

医学 化疗 单变量分析 磁共振成像 预测值 多元分析 试验预测值 新辅助治疗 乳腺癌 核医学 放射科 肿瘤科 内科学 癌症
作者
Savannah C. Partridge,Jessica Gibbs,Ying Lü,Laura J. Esserman,Debasish Tripathy,Dulcy Wolverton,Hope S. Rugo,E. Shelley Hwang,Cheryl A. Ewing,Nola M. Hylton
出处
期刊:American Journal of Roentgenology [American Roentgen Ray Society]
卷期号:184 (6): 1774-1781 被引量:251
标识
DOI:10.2214/ajr.184.6.01841774
摘要

The purpose of this study was to assess the value of MRI measurements of breast tumor size for predicting recurrence-free survival (RFS) in patients undergoing neoadjuvant (preoperative) chemotherapy and to compare the predictive value of MRI with that of established prognostic indicators.The study included 62 patients undergoing neoadjuvant chemotherapy. The longest diameter and volume of each tumor were measured on MRI before and after one and four cycles of treatment. Change in diameter on clinical examination, tumor size at pathology, and the number of positive nodes were determined. Each measure of tumor extent was assessed for the ability to predict RFS.Univariate Cox analysis showed initial MRI volume was the strongest predictor of RFS (p = 0.002). Final change in MRI volume (p = 0.015) was more predictive than change in diameter on MRI (p = 0.077) or clinical examination (p = 0.27). Initial diameter on MRI (p = 0.003) and clinical examination (p = 0.033), tumor size at pathology (p = 0.016), and number of positive nodes (p = 0.045) were also significantly predictive of RFS. Early change in MRI volume (p = 0.071) and diameter (p = 0.081) after one chemotherapy cycle showed trends of association with RFS. Multivariate analysis showed initial MRI volume (p = 0.005) and final change in MRI volume (p = 0.003) were significant independent predictors.MRI tumor volume was more predictive of RFS than tumor diameter, suggesting that volumetric changes measured using MRI may provide a more sensitive assessment of treatment efficacy.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Draeck发布了新的文献求助10
1秒前
丘比特应助薛定谔的猫采纳,获得10
1秒前
kirirto发布了新的文献求助30
1秒前
圈儿完成签到,获得积分10
2秒前
在水一方应助Nature采纳,获得10
2秒前
小班完成签到,获得积分10
3秒前
3秒前
老板娘完成签到,获得积分10
4秒前
赘婿应助liuguohua126采纳,获得10
6秒前
6秒前
6秒前
6秒前
Draeck完成签到,获得积分10
9秒前
10秒前
zyr完成签到 ,获得积分10
10秒前
DJ发布了新的文献求助10
10秒前
10秒前
JasonTrue完成签到,获得积分10
11秒前
13秒前
str1ngs发布了新的文献求助10
15秒前
南宫若翠发布了新的文献求助10
15秒前
17秒前
活泼饼干完成签到,获得积分10
20秒前
gratitude完成签到,获得积分10
21秒前
在水一方应助树池采纳,获得10
23秒前
23秒前
23秒前
masonzhang发布了新的文献求助20
24秒前
所所应助南宫若翠采纳,获得10
24秒前
六六完成签到 ,获得积分10
25秒前
25秒前
26秒前
老牛鼓励看文献完成签到,获得积分10
27秒前
DJ完成签到,获得积分10
27秒前
27秒前
v小飞侠101发布了新的文献求助10
28秒前
28秒前
28秒前
29秒前
32秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
The SAGE Handbook of Qualitative Research 800
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135113
求助须知:如何正确求助?哪些是违规求助? 2786095
关于积分的说明 7775189
捐赠科研通 2441915
什么是DOI,文献DOI怎么找? 1298256
科研通“疑难数据库(出版商)”最低求助积分说明 625108
版权声明 600839