30 research outputs found
Should a Sentinel Node Biopsy Be Performed in Patients with High-Risk Breast Cancer?
A negative sentinel lymph node (SLN) biopsy spares many breast cancer patients the complications associated with lymph node irradiation or additional surgery. However, patients at high risk for nodal involvement based on clinical characteristics may remain at unacceptably high risk of axillary disease even after a negative SLN biopsy result. A Bayesian nomogram was designed to combine the probability of axillary disease prior to nodal biopsy with customized test characteristics for an SLN biopsy and provides the probability of axillary disease despite a negative SLN biopsy. Users may individualize the sensitivity of an SLN biopsy based on factors known to modify the sensitivity of the procedure. This tool may be useful in identifying patients who should have expanded upfront exploration of the axilla or comprehensive axillary irradiation
Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches
Background. Ductal carcinoma in situ (DCIS) can be a precursor to invasive breast cancer. Since the advent of screening mammography in the 1980’s, the incidence of DCIS has increased dramatically. The value of screen detection and treatment of DCIS, however, is a matter of controversy, as it is unclear the extent to which detection and treatment of DCIS prevents invasive disease and reduces breast cancer mortality. The aim of this paper is to provide an overview of existing Cancer Intervention and Surveillance Modelling Network (CISNET) modeling approaches for the natural history of DCIS, and to compare these to other modeling approaches reported in the literature. Design. Five of the 6 CISNET models currently include DCIS. Most models assume that some, but not all, lesions progress to invasive cancer. The natural history of DCIS cannot be directly observed and the CISNET models differ in their assumptions and in the data sources used to estimate the DCIS model parameters. Results. These model differences translate into variation in outcomes, such as the amount of overdiagnosis of DCIS, with estimates ranging from 34% to 72% for biennial screening from ages 50 to 74 y. The other models described in the literature also report a large range in outcomes, with progression rates varying from 20% to 91%. Limitations. DCIS grade was not yet included in the CISNET models. Conclusion. In the future, DCIS data by grade from active surveillance trials, the development of predictive markers of progression probability, and evidence from other screening modalities, such as tomosynthesis, may be used to inform and improve the models’ representation of DCIS, and might lead to convergence of the model estimates. Until then, the CISNET model results consistently show a considerable amount of overdiagnosis of DCIS, supporting the safety and value of observational trials for low-risk DCIS
Impact of pre-diagnosis major depressive disorder and health-related quality of life on treatment choice for ductal carcinoma in situ in older women.
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Cost Effectiveness of DCISionRT for Guiding Treatment of Ductal Carcinoma in Situ.
The DCISionRT test estimates the risk of an ipsilateral breast event (IBE) in patients with ductal carcinoma in situ (DCIS) as well as the benefit of adjuvant radiation therapy (RT). We determined the cost-effectiveness of DCISionRT using a Markov model simulating 10-year outcomes for 60-year-old women with DCIS based on nonrandomized data. Three strategies were compared: no testing, no RT (strategy 1); test all, RT for elevated risk only (strategy 2); and no testing, RT for all (strategy 3). We used utilities and costs from the literature and Medicare claims to determine incremental cost-effectiveness ratios and examined the number of women irradiated per IBE prevented. In the base-case scenario, strategy 1 was the cost-effective strategy. Strategy 2 was cost-effective compared with strategy 3 when the cost of DCISionRT was less than $4588. The number irradiated per IBE prevented were 8.37 and 15.46 for strategies 2 and 3, respectively, relative to strategy 1