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乳腺 X 线摄影检查中浸润性乳腺癌生长率的预后预测价值:奈梅亨乳腺癌筛查队列研究

The prognostic potential of mammographic growth rate of invasive breast cancer in the Nijmegen breast cancer screening cohort.

机构信息

Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands.

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

出版信息

J Med Screen. 2024 Sep;31(3):166-175. doi: 10.1177/09691413231222765. Epub 2024 Jan 31.

DOI:10.1177/09691413231222765
PMID:38295359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11330081/
Abstract

OBJECTIVES

Insight into the aggressiveness of potential breast cancers found in screening may optimize recall decisions. Specific growth rate (SGR), measured on mammograms, may provide valuable prognostic information. This study addresses the association of SGR with prognostic factors and overall survival in patients with invasive carcinoma of no special type (NST) from a screened population.

METHODS

In this historic cohort study, 293 women with NST were identified from all participants in the Nijmegen screening program (2003-2007). Information on clinicopathological factors was retrieved from patient files and follow-up on vital status through municipalities. On consecutive mammograms, tumor volumes were estimated. After comparing five growth functions, SGR was calculated using the best-fitting function. Regression and multivariable survival analyses described associations between SGR and prognostic factors as well as overall survival.

RESULTS

Each one standard deviation increase in SGR was associated with an increase in the Nottingham prognostic index by 0.34 [95% confidence interval (CI): 0.21-0.46]. Each one standard deviation increase in SGR increased the odds of a tumor with an unfavorable subtype (based on histologic grade and hormone receptors; odds ratio 2.14 [95% CI: 1.45-3.15]) and increased the odds of diagnosis as an interval cancer (versus screen-detected; odds ratio 1.57 [95% CI: 1.20-2.06]). After a median of 12.4 years of follow-up, 78 deaths occurred. SGR was not associated with overall survival (hazard ratio 1.12 [95% CI: 0.87-1.43]).

CONCLUSIONS

SGR may indicate prognostically relevant differences in tumor aggressiveness if serial mammograms are available. A potential association with cause-specific survival could not be determined and is of interest for future research.

摘要

目的

深入了解筛查中发现的潜在乳腺癌的侵袭性,可能会优化召回决策。在乳房 X 光片上测量的特定增长率(SGR)可能提供有价值的预后信息。本研究探讨了在筛查人群中,无特殊类型浸润性癌(NST)患者的 SGR 与预后因素和总生存率的关系。

方法

在这项历史性队列研究中,从奈梅亨筛查计划(2003-2007 年)的所有参与者中确定了 293 名 NST 女性。从患者档案中检索了临床病理因素信息,并通过市政府对生存状况进行随访。在连续的乳房 X 光片上,估计肿瘤体积。在比较了五种生长函数后,使用最佳拟合函数计算 SGR。回归和多变量生存分析描述了 SGR 与预后因素以及总生存率之间的关系。

结果

SGR 每增加一个标准差,诺丁汉预后指数就会增加 0.34(95%置信区间:0.21-0.46)。SGR 每增加一个标准差,肿瘤具有不良亚型的可能性就会增加(基于组织学分级和激素受体;比值比 2.14[95%置信区间:1.45-3.15]),并且被诊断为间隔癌的可能性也会增加(与筛查发现相比;比值比 1.57[95%置信区间:1.20-2.06])。中位随访 12.4 年后,78 人死亡。SGR 与总生存率无关(风险比 1.12[95%置信区间:0.87-1.43])。

结论

如果有连续的乳房 X 光片,SGR 可能表明肿瘤侵袭性存在预后相关差异。SGR 与特定原因生存率的潜在关联尚无法确定,这是未来研究的兴趣所在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/20ea88e3dc7b/10.1177_09691413231222765-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/d4b01d3688b3/10.1177_09691413231222765-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/a6968264ddaa/10.1177_09691413231222765-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/20ea88e3dc7b/10.1177_09691413231222765-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/d4b01d3688b3/10.1177_09691413231222765-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/a6968264ddaa/10.1177_09691413231222765-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8313/11330081/20ea88e3dc7b/10.1177_09691413231222765-fig3.jpg

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本文引用的文献

1
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2
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Breast. 2020 Jun;51:114-119. doi: 10.1016/j.breast.2020.03.006. Epub 2020 Apr 1.
3
Breast Cancer, Version 3.2020, NCCN Clinical Practice Guidelines in Oncology.《NCCN 肿瘤学临床实践指南:乳腺癌》第 3.2020 版
J Natl Compr Canc Netw. 2020 Apr;18(4):452-478. doi: 10.6004/jnccn.2020.0016.
4
Different ODE models of tumor growth can deliver similar results.不同的肿瘤生长 ODE 模型可以得到相似的结果。
BMC Cancer. 2020 Mar 17;20(1):226. doi: 10.1186/s12885-020-6703-0.
5
Causes of death after breast cancer diagnosis: A US population-based analysis.乳腺癌诊断后的死因分析:一项基于美国人群的分析。
Cancer. 2020 Apr 1;126(7):1559-1567. doi: 10.1002/cncr.32648. Epub 2019 Dec 16.
6
Machine learning-based prediction of breast cancer growth rate in vivo.基于机器学习的体内乳腺癌生长速度预测。
Br J Cancer. 2019 Sep;121(6):497-504. doi: 10.1038/s41416-019-0539-x. Epub 2019 Aug 9.
7
Prognostic models for breast cancer: a systematic review.乳腺癌预后模型:系统评价。
BMC Cancer. 2019 Mar 14;19(1):230. doi: 10.1186/s12885-019-5442-6.
8
Does breast cancer growth rate really depend on tumor subtype? Measurement of tumor doubling time using serial ultrasonography between diagnosis and surgery.乳腺癌的生长速度真的取决于肿瘤亚型吗?使用诊断和手术之间的连续超声测量肿瘤倍增时间。
Breast Cancer. 2019 Mar;26(2):206-214. doi: 10.1007/s12282-018-0914-0. Epub 2018 Sep 26.
9
Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features.基于乳腺影像组学特征的乳腺癌分子亚型预测。
Acad Radiol. 2019 Feb;26(2):196-201. doi: 10.1016/j.acra.2018.01.023. Epub 2018 Mar 8.
10
Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012.2000 - 2012年美国女性乳腺癌分子亚型的筛查、治疗与乳腺癌死亡率的关联
JAMA. 2018 Jan 9;319(2):154-164. doi: 10.1001/jama.2017.19130.