Intelligent Vacuum-Assisted Biopsy to Identify Breast Cancer Patients With Pathologic Complete Response (ypT0 and ypN0) After Neoadjuvant Systemic Treatment for Omission of Breast and Axillary Surgery

医学 乳腺癌 癌症 乳腺活检 活检 腋窝 放射科 肿瘤科 新辅助治疗 内科学 乳腺摄影术
作者
André Pfob,Chris Sidey‐Gibbons,Geraldine Rauch,Bettina Thomas,Benedikt Schaefgen,Sherko Kuemmel,Toralf Reimer,Markus Hahn,Marc Thill,Jens‐Uwe Blohmer,John Hackmann,Wolfram Malter,Inga Bekes,Kay Friedrichs,Sebastian Wojcinski,Sylvie Joos,Stefan Paepke,Tom Degenhardt,Joachim Rom,Achim Rody
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:40 (17): 1903-1915 被引量:52
标识
DOI:10.1200/jco.21.02439
摘要

Neoadjuvant systemic treatment (NST) elicits a pathologic complete response in 40%-70% of women with breast cancer. These patients may not need surgery as all local tumor has already been eradicated by NST. However, nonsurgical approaches, including imaging or vacuum-assisted biopsy (VAB), were not able to accurately identify patients without residual cancer in the breast or axilla. We evaluated the feasibility of a machine learning algorithm (intelligent VAB) to identify exceptional responders to NST.We trained, tested, and validated a machine learning algorithm using patient, imaging, tumor, and VAB variables to detect residual cancer after NST (ypT+ or in situ or ypN+) before surgery. We used data from 318 women with cT1-3, cN0 or +, human epidermal growth factor receptor 2-positive, triple-negative, or high-proliferative Luminal B-like breast cancer who underwent VAB before surgery (ClinicalTrials.gov identifier: NCT02948764, RESPONDER trial). We used 10-fold cross-validation to train and test the algorithm, which was then externally validated using data of an independent trial (ClinicalTrials.gov identifier: NCT02575612). We compared findings with the histopathologic evaluation of the surgical specimen. We considered false-negative rate (FNR) and specificity to be the main outcomes.In the development set (n = 318) and external validation set (n = 45), the intelligent VAB showed an FNR of 0.0%-5.2%, a specificity of 37.5%-40.0%, and an area under the receiver operating characteristic curve of 0.91-0.92 to detect residual cancer (ypT+ or in situ or ypN+) after NST. Spiegelhalter's Z confirmed a well-calibrated model (z score -0.746, P = .228). FNR of the intelligent VAB was lower compared with imaging after NST, VAB alone, or combinations of both.An intelligent VAB algorithm can reliably exclude residual cancer after NST. The omission of breast and axillary surgery for these exceptional responders may be evaluated in future trials.
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
fxh完成签到,获得积分10
刚刚
刚刚
xialuoke发布了新的文献求助10
刚刚
1秒前
为常发布了新的文献求助10
2秒前
DDDD发布了新的文献求助10
2秒前
哈哈客完成签到,获得积分20
4秒前
云不归发布了新的文献求助10
4秒前
无情的瑾瑜完成签到,获得积分10
4秒前
华仔应助dalin采纳,获得10
5秒前
砖瓦厂完成签到,获得积分10
5秒前
5秒前
FOODHUA完成签到,获得积分10
6秒前
7秒前
xialuoke完成签到,获得积分10
8秒前
super完成签到,获得积分10
8秒前
Roman完成签到,获得积分10
9秒前
henry完成签到,获得积分10
9秒前
鸟与野鹿发布了新的文献求助20
10秒前
糖果不甜发布了新的文献求助10
10秒前
11秒前
11秒前
jjjdj发布了新的文献求助10
11秒前
May完成签到,获得积分10
11秒前
维奈克拉完成签到,获得积分0
15秒前
小方汪汪汪完成签到,获得积分10
15秒前
15秒前
16秒前
16秒前
Jason-1024发布了新的文献求助10
17秒前
Mic应助平淡砖头采纳,获得10
19秒前
量子星尘发布了新的文献求助20
21秒前
LU41完成签到,获得积分10
22秒前
led灯泡发布了新的文献求助10
22秒前
23秒前
JamesPei应助jjjdj采纳,获得10
24秒前
MI发布了新的文献求助10
24秒前
25秒前
25秒前
DL完成签到,获得积分10
25秒前
高分求助中
Encyclopedia of Immunobiology Second Edition 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5586418
求助须知:如何正确求助?哪些是违规求助? 4669685
关于积分的说明 14779607
捐赠科研通 4619993
什么是DOI,文献DOI怎么找? 2530909
邀请新用户注册赠送积分活动 1499681
关于科研通互助平台的介绍 1467850