Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer

医学 病态的 列线图 乳腺癌 队列 接收机工作特性 置信区间 肿瘤科 新辅助治疗 放射科 内科学 癌症
作者
Meng Jiang,Changli Li,Xiaomao Luo,Zhi-Rui Chuan,Wenzhi Lv,Xu Li,Xin‐Wu Cui,Christoph F. Dietrich
出处
期刊:European Journal of Cancer [Elsevier BV]
卷期号:147: 95-105 被引量:158
标识
DOI:10.1016/j.ejca.2021.01.028
摘要

Abstract

Purpose

The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) for preoperatively assessing breast cancer pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) based on the pre- and post-treatment ultrasound.

Methods

Patients with locally advanced breast cancer (LABC) proved by biopsy who proceeded to undergo preoperative NAC were enrolled from hospital #1 (training cohort, 356 cases) and hospital #2 (independent external validation cohort, 236 cases). Deep learning and handcrafted radiomic features reflecting the phenotypes of the pre-treatment (radiomic signature [RS] 1) and post-treatment tumour (RS2) were extracted. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator regression were used for feature selection and RS construction. A DLRN was then developed based on the RSs and independent clinicopathological risk factors. The performance of the model was assessed with regard to calibration, discrimination and clinical usefulness.

Results

The DLRN predicted the pCR status with accuracy, yielded an area under the receiver operator characteristic curve of 0.94 (95% confidence interval, 0.91–0.97) in the validation cohort, with good calibration. The DLRN outperformed the clinical model and single RS within both cohorts (P < 0.05, as per the DeLong test) and performed better than two experts' prediction of pCR (both P < 0.01 for comparison of total accuracy). Besides, prediction within the hormone receptor–positive/human epidermal growth factor receptor 2 (HER2)–negative, HER2+ and triple-negative subgroups also achieved good discrimination performance, with an AUC of 0.90, 0.95 and 0.93, respectively, in the external validation cohort. Decision curve analysis confirmed that the model was clinically useful.

Conclusion

A deep learning–based radiomic nomogram had good predictive value for pCR in LABC, which could provide valuable information for individual treatment.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
3秒前
tuanhust完成签到,获得积分0
4秒前
跳跃的白云完成签到 ,获得积分10
16秒前
穆奕完成签到 ,获得积分10
24秒前
26秒前
leo完成签到,获得积分10
32秒前
www完成签到 ,获得积分10
33秒前
王佳豪完成签到,获得积分10
37秒前
39秒前
44秒前
呵呵发布了新的文献求助10
45秒前
小星历险记完成签到 ,获得积分10
46秒前
Robe完成签到 ,获得积分10
49秒前
liberation完成签到 ,获得积分0
53秒前
55秒前
呵呵完成签到,获得积分20
57秒前
tzy6665完成签到,获得积分10
58秒前
杨天天完成签到,获得积分10
59秒前
roundtree完成签到 ,获得积分0
1分钟前
nengzou完成签到 ,获得积分10
1分钟前
Sandy应助帅气的宛凝采纳,获得20
1分钟前
laber完成签到,获得积分0
1分钟前
Fly完成签到 ,获得积分10
1分钟前
kanong完成签到,获得积分0
1分钟前
穿山的百足公主完成签到 ,获得积分10
1分钟前
诺亚方舟哇哈哈完成签到 ,获得积分0
1分钟前
JayL完成签到,获得积分10
1分钟前
1分钟前
小井盖完成签到 ,获得积分10
1分钟前
故意的小猫咪完成签到,获得积分10
1分钟前
真真完成签到 ,获得积分10
1分钟前
故意的鼠标完成签到,获得积分10
1分钟前
summer完成签到,获得积分10
1分钟前
阿敬完成签到,获得积分10
1分钟前
漂漂亮亮大番薯完成签到,获得积分10
1分钟前
dream完成签到 ,获得积分10
1分钟前
和谐的夏岚完成签到 ,获得积分10
1分钟前
勤奋的灯完成签到 ,获得积分10
1分钟前
现代风格完成签到,获得积分10
1分钟前
luffy完成签到 ,获得积分10
1分钟前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968559
求助须知:如何正确求助?哪些是违规求助? 3513358
关于积分的说明 11167370
捐赠科研通 3248804
什么是DOI,文献DOI怎么找? 1794465
邀请新用户注册赠送积分活动 875116
科研通“疑难数据库(出版商)”最低求助积分说明 804664