Outcomes of Active Surveillance for Ductal Carcinoma in Situ: A Computational Risk Analysis

被引:57
作者
Ryser, Marc D. [1 ,3 ]
Worni, Mathias [3 ,5 ,6 ]
Turner, Elizabeth L. [2 ,7 ]
Marks, Jeffrey R. [4 ]
Durrett, Rick [1 ]
Hwang, E. Shelley [3 ]
机构
[1] Duke Univ, Dept Math, Durham, NC 27710 USA
[2] Duke Univ, Duke Global Hlth Inst, Durham, NC 27710 USA
[3] Duke Univ, Med Ctr, Dept Surg, Div Adv Oncol & GI Surg, Durham, NC 27710 USA
[4] Duke Univ, Med Ctr, Dept Surg, Div Surg Sci, Durham, NC 27710 USA
[5] Univ Hosp Bern, Inselspital, Dept Visceral Surg & Med, CH-3010 Bern, Switzerland
[6] Univ Bern, Bern, Switzerland
[7] Duke Univ, Med Ctr, Dept Biostat & Bioinformat, Durham, NC 27710 USA
来源
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE | 2016年 / 108卷 / 05期
基金
美国国家卫生研究院; 瑞士国家科学基金会; 美国国家科学基金会;
关键词
BREAST-CANCER; OVERDIAGNOSIS; MAMMOGRAPHY; WOMEN; DCIS; TAMOXIFEN; FEATURES;
D O I
10.1093/jnci/djv372
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Ductal carcinoma in situ (DCIS) is a noninvasive breast lesion with uncertain risk for invasive progression. Usual care (UC) for DCIS consists of treatment upon diagnosis, thus potentially overtreating patients with low propensity for progression. One strategy to reduce overtreatment is active surveillance (AS), whereby DCIS is treated only upon detection of invasive disease. Our goal was to perform a quantitative evaluation of outcomes following an AS strategy for DCIS. Methods: Age-stratified, 10-year disease-specific cumulative mortality (DSCM) for AS was calculated using a computational risk projection model based upon published estimates for natural history parameters, and Surveillance, Epidemiology, and End Results data for outcomes. AS projections were compared with the DSCM for patients who received UC. To quantify the propagation of parameter uncertainty, a 95% projection range (PR) was computed, and sensitivity analyses were performed. Results: Under the assumption that AS cannot outperform UC, the projected median differences in 10-year DSCM between AS and UC when diagnosed at ages 40, 55, and 70 years were 2.6% (PR = 1.4%-5.1%), 1.5% (PR = 0.5%-3.5%), and 0.6% (PR = 0.0%-2.4), respectively. Corresponding median numbers of patients needed to treat to avert one breast cancer death were 38.3 (PR = 19.7-69.9), 67.3 (PR = 28.7-211.4), and 157.2 (PR = 41.1-3872.8), respectively. Sensitivity analyses showed that the parameter with greatest impact on DSCM was the probability of understaging invasive cancer at diagnosis. Conclusion: AS could be a viable management strategy for carefully selected DCIS patients, particularly among older age groups and those with substantial competing mortality risks. The effectiveness of AS could be markedly improved by reducing the rate of understaging.
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收藏
页数:8
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