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
祖安诳人完成签到,获得积分10
刚刚
hhhh完成签到,获得积分20
1秒前
吕曼完成签到,获得积分10
1秒前
1秒前
2秒前
Wri发布了新的文献求助10
2秒前
领导范儿应助初心采纳,获得10
2秒前
甜甜完成签到 ,获得积分10
2秒前
2秒前
SciGPT应助曹曹采纳,获得10
2秒前
嘴角微微仰起笑应助丽莉采纳,获得10
3秒前
3秒前
3秒前
3秒前
大模型应助茂茂采纳,获得10
3秒前
量子星尘发布了新的文献求助10
4秒前
4秒前
5秒前
深情怀亦发布了新的文献求助10
6秒前
Zx_1993应助peng采纳,获得10
6秒前
6秒前
jxm发布了新的文献求助10
6秒前
6秒前
宛筠完成签到,获得积分10
7秒前
Harry应助shtatbf采纳,获得10
7秒前
ssss发布了新的文献求助10
7秒前
ding应助土土b采纳,获得10
7秒前
lilili完成签到,获得积分10
8秒前
pshhhz1994完成签到,获得积分10
8秒前
火星上兰完成签到,获得积分10
8秒前
8秒前
lmd发布了新的文献求助10
8秒前
海绵宝宝完成签到,获得积分10
8秒前
张先生发布了新的文献求助10
8秒前
9秒前
传奇3应助柴犬采纳,获得10
9秒前
10秒前
11秒前
李白发布了新的文献求助10
11秒前
杜欣完成签到,获得积分20
11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
List of 1,091 Public Pension Profiles by Region 1581
Encyclopedia of Agriculture and Food Systems Third Edition 1500
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
The Scope of Slavic Aspect 600
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5531309
求助须知:如何正确求助?哪些是违规求助? 4620136
关于积分的说明 14571914
捐赠科研通 4559695
什么是DOI,文献DOI怎么找? 2498561
邀请新用户注册赠送积分活动 1478526
关于科研通互助平台的介绍 1449957