Cost-effectiveness of breast MR imaging and screen-film mammography for screening BRCA1 gene mutation carriers

PURPOSE

To evaluate the clinical effectiveness and cost-effectiveness of screening strategies in which MR imaging and screen-film mammography were used, alone and in combination, in women with BRCA1 mutations.

MATERIALS AND METHODS

Because this study did not involve primary data collection from individual patients, institutional review board approval was not needed. By using a simulation model, we compared three annual screening strategies for a cohort of 25-year-old BRCA1 mutation carriers, as follows: (a) screen-film mammography, (b) MR imaging, and (c) combined MR imaging and screen-film mammography (combined screening). The model was used to estimate quality-adjusted life-years (QALYs) and lifetime costs. Incremental cost-effectiveness ratios were calculated. Input parameters were obtained from the medical literature, existing databases, and calibration. Costs (2007 U.S. dollars) and quality-of-life adjustments were derived from Medicare reimbursement rates and the medical literature. Sensitivity analysis was performed to evaluate the effect of uncertainty in parameter estimates on model results.

RESULTS

In the base-case analysis, annual combined screening was most effective (44.62 QALYs), and had the highest cost ($110973), followed by annual MR imaging alone (44.50 QALYs, $108641), and annual mammography alone (44.46 QALYs, $100336). Adding annual MR imaging to annual mammographic screening cost $69125 for each additional QALY gained. Sensitivity analysis indicated that, when the screening MR imaging cost increased to $960 (base case, $577), or breast cancer risk by age 70 years decreased below 58% (base case, 65%), or the sensitivity of combined screening decreased below 76% (base case, 94%), the cost of adding MR imaging to mammography exceeded $100000 per QALY.

CONCLUSION

Annual combined screening provides the greatest life expectancy and is likely cost-effective when the value placed on gaining an additional QALY is in the range of $50000-$100000.

SUPPLEMENTAL MATERIAL

http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.09091086/-/DC1.

How to define and measure concordance between patients' preferences and medical treatments: A systematic review of approaches and recommendations for standardization

OBJECTIVE

The purpose is to systematically review the methods used to calculate the association between patients' preferences and treatment choices and to present a set of recommendations for definition and measurement of this concept.

METHODS

A systematic review of the literature from 1967 to 2007 identified articles that reported a relationship between patients' preferences and their treatment choices. Potential citations were identified from electronic databases, the Cochrane Collaborative review, and identified experts. Relevant articles were abstracted by two reviewers independently using standard forms.

RESULTS

The search identified 3114 unique citations, the full text of 180 articles was examined, and 49 articles were included. These 49 studies used a variety of definitions of preferences and choices, and calculated concordance in different ways. Half of the studies tied their method to a theoretical framework. There were problems with many of the studies that limit the ability to generalize or make comparisons across studies.

CONCLUSION

There is no consistent method for defining or calculating the match between patients' preferences and treatment choices. There is a need for more clarity in the definition and reporting of this type of concordance in measures of decision quality.

PRACTICE IMPLICATIONS

The match between an informed patient's preferences and treatment choices is a key component of patient-centered care. Valid and reliable measures of the level of concordance are needed.

Electronic health records and the management of women at high risk of hereditary breast and ovarian cancer

Currently, management strategies exist that can decrease the morbidity and mortality associated with having a BRCA1 or BRCA2 mutation. Unfortunately, the task of identifying these patients at high risk is a daunting challenge. This problem is intensified because Electronic Health Records (EHRs) today lack the functionality needed to identify these women and to manage those women once they have been identified. Numerous niche software programs have been developed to fill this gap. Unfortunately, these extremely valuable niche programs are prevented from being interoperable with the EHRs, on the premise that each EHR vendor will build their own programs. Effectively, in our efforts to adopt EHRs, we have lost sight of the fact that they can only have a major impact on quality of care if they contain structured data and if they interact with robust Clinical Decision Support (CDS) tools. We are at a cross roads in the development of the health care Information Technology infrastructure. We can choose a path where each EHR vendor develops each CDS module independently. Alternatively, we can choose a path where experts in each field develop external niche software modules that are interoperable with any EHR vendor. We believe that the modular approach to development of niche software programs that are interoperable with current EHRs will markedly increase the speed at which useful and functional EHRs that improve quality of care become a reality. Thus, in order to realize the benefits of CDS, we suggest vendors develop means to become interoperable with external modular niche programs.

Breast cancer prevention: patient decision making and risk communication in the high risk setting

The purpose of this study was to investigate prevention decision making among women at high risk for breast cancer, including patient preferences for preventive interventions, patient understanding of disease risk, and patient preferences for risk communication methods, and the corresponding physician understanding of these factors. A prospective interview and survey study was conducted of consecutive new patients seen at a cancer risk and prevention clinic and their physicians. One hundred and forty-six of 217 eligible patients participated and completed all components of the study (67%), and they were seen by a four physicians. Women's preferences for prevention intervention varied widely across women but were stable across time. Physicians were very often unable to predict their patients' preferences for prevention efforts. Patients overestimated their risk of disease, and physicians overestimated the decrease in perceived risk resulting from counseling (p < 0.001). As risk stratification for breast cancer improves, and prevention options become more tolerable, it becomes increasingly important to appropriately counsel women considering such options. This study provides insight into the decision making process of women at high risk for breast cancer and highlights the importance of addressing patient preferences for interventions and risk perception during risk assessment and counseling consultations.

Patient preferences for the chemoprevention of colorectal cancer

Although evidence suggests that aspirin and celecoxib may reduce the risk of colorectal cancer (CRC), these drugs can also cause harmful side effects. The aim of this study was to characterize patient preferences for celecoxib and aspirin. Participants completed a computer-based patient decision-making questionnaire that included an educational component outlining the benefits and harms of celecoxib and aspirin. Under the base conditions 7.4% would take celecoxib and 43.6% would take aspirin; males were more willing than females to take aspirin. Patients identified the increased risk of myocardial infarction and gastrointestinal events as the primary reasons for their unwillingness to take celecoxib and aspirin, respectively. A majority of subjects would not take either drug, after considering their benefits and harms, although participants were almost six times more likely to take aspirin than celecoxib. These data serve to inform physicians and researchers regarding the variability and factors that affect patient preferences for CRC chemoprevention.

Identification and management of women at high risk for hereditary breast/ovarian cancer syndrome

Despite advances in identifying genetic markers of high risk patients and the availability of genetic testing, it remains challenging to efficiently identify women who are at hereditary risk and to manage their care appropriately. HughesRiskApps, an open-source family history collection, risk assessment, and Clinical Decision Support (CDS) software package, was developed to address the shortcomings in our ability to identify and treat the high risk population. This system is designed for use in primary care clinics, breast centers, and cancer risk clinics to collect family history and risk information and provide the necessary CDS to increase quality of care and efficiency. This paper reports on the first implementation of HughesRiskApps in the community hospital setting. HughesRiskApps was implemented at the Newton-Wellesley Hospital. Between April 1, 2007 and March 31, 2008, 32,966 analyses were performed on 25,763 individuals. Within this population, 915 (3.6%) individuals were found to be eligible for risk assessment and possible genetic testing based on the 10% risk of mutation threshold. During the first year of implementation, physicians and patients have fully accepted the system, and 3.6% of patients assessed have been referred to risk assessment and consideration of genetic testing. These early results indicate that the number of patients identified for risk assessment has increased dramatically and that the care of these patients is more efficient and likely more effective.

Is There a Role for Decision Aids in Advanced Breast Cancer?

Background . A diagnosis of metastatic breast cancer (BC) forces patients and providers to make difficult treatment decisions. Objective . To pilot test a decision aid (DA) for advanced BC. Design . Pretest, posttest study. Setting . Two academic cancer centers in Boston, Massachusetts. Patients . Fifty patients diagnosed with advanced BC. Intervention . A patient DA that consisted of a 30-minute DVD and booklet. Measurements . Patients were surveyed at baseline, after the intervention, and at 3 months. Measures included use and acceptability of DA, distress, treatment goals, and preference for and actual participation in decisions. Physicians were surveyed at baseline and 3 months. Measures included treatment goals, assessment of patients' experience with treatments, and patients' preference for and actual participation in decisions. Results . Thirty-two patients (64%) enrolled and completed the baseline survey, 30 completed the postvideo survey, and 25 completed the 3-month survey. The DA was acceptable and did not increase distress. The majority desired to share decision making with their doctor. Only 38% achieved their desired level of participation. At baseline, agreement between patients and providers on the main goal of treatment (lengthen life v. relieve symptoms) was 50% (κ = —0.045, P = 0.71), and at 3 months it was 74% (κ = 0.125, P = 0.48). Conclusions . It is feasible to perform a clinical trial of a DA with advanced BC patients. Most participants wanted to participate in decisions about their care and found the DA acceptable. This study highlights several issues in developing and implementing DAs in this vulnerable population facing complex decisions.

Hypertension is an independent predictor of survival disparity between African-American and white breast cancer patients

The objective of this study was to determine whether comorbidity, or pre-existing conditions, can account for some of the disparity in survival between African-American and white breast cancer patients. A historical cohort study was conducted of 416 African-American and 838 white women diagnosed with breast cancer between 1973 and 1986, and followed through 1999 in the Kaiser Permanente Northern California Medical Care Program. Information on comorbidity, tumor characteristics and breast cancer treatment was obtained from medical records, and Surveillance, Epidemiology and End Results, Northern California Cancer Center Registry. Associations between comorbidity and survival were analyzed with multiple Cox proportional hazards regression. Over a mean follow-up of 9 years, African Americans had higher overall crude mortality than whites: 165 (39.7%) versus 279 (33.3%), respectively. When age, race, tumor characteristics and breast cancer treatment were controlled, the presence of hypertension was associated with all cause survival [hazard ratio (HR) = 1.33, 95% confidence intervals (CI) 1.07-1.67] and it accounted for 30% of racial disparity in this outcome. Hypertension-augmented Charlson Comorbidity Index was a significant predictor of survival from all causes (HR = 1.32, 95%CI 1.18-1.49), competing causes (HR = 1.52, 95%CI 1.32-1.76) and breast cancer specific causes (HR = 1.18, 95%CI 1.03-1.35). In conclusion, hypertension has prognostic significance in relation to survival disparity between African-American and white breast cancer patients. If our findings are replicated in contemporary cohorts, it may be necessary to include hypertension in the Charlson Comorbidity Index and other comorbidity measures.

Identification of high-risk lesions through automated natural language processing (NLP) of pathology reports

Abstract #3001

Purpose&#x2028; Pathology reports contain extensive research information that is inaccessible except through costly and time consuming chart reviews. This is due to the fact that pathology reports are recorded as semi-structured prose with critically important descriptive text intended for human interpretation. Key challenges for processing this data include interpreting multiple methods of describing the same finding, and subsequently aggregating the findings of multiple reports into episodes of care. Investigators tested NLP techniques in the processing of pathology reports into structured data and episodes of care, allowing for the rapid identification and epidemiologic modeling of high-risk breast lesions.&#x2028; Methods&#x2028; Using state-of-the-art NLP software (ClearForest, A Thomson Reuters Company, Waltham, MA), breast pathology reports stored as text files were processed into a structured electronic database using these steps: 1) identification of diagnosis of interest (i.e. high risk lesions, cancer), 2) use of NLP to identify all terms and phrases used to report each finding (e.g. atypical hyperplasia, hyperplasia with atypia), 3) grouping of relevant terms into categories, 4) identification of categories occurring in each patient report, and 5) grouping of patient reports into episodes of care (defined as all reports within 6 months of an initial diagnosis).&#x2028; Results&#x2028; Under IRB approval, 27,931 breast pathology reports from Massachusetts General Hospital in 16,208 patients seen between 1990-2007 were analyzed. The results were compared against manually reviewed pathology reports for quality control. For DCIS diagnoses, the initial error rate for both the NLP process and the manual process was 2%. The NLP process was then re-tuned using the identified discrepancies which reduced the error rate to zero. Using the refined model, we identified 1) patients with atypical lesions (atypical ductal hyperplasia (ADH), severe ADH, atypical lobular hyperplasia (ALH), and lobular carcinoma in situ (LCIS)) without prior or concurrent cancer, and 2) patients who developed cancer greater than 6 months post diagnosis.&#x2028; &#x2028; Conclusion&#x2028; This process successfully identified high-risk diagnoses that were otherwise relatively inaccessible, and appears to match the accuracy of a human research associate. The results of this first implementation are promising and will be further validated over time. In the future, this approach can be applied to other medical reports and diseases. NLP has significant potential to decrease the cost of research and for improving patient care.

Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 3001.

Cost-effectiveness of surgical interventions for BRCA gene mutation carriers: impact of delaying decision-making

Abstract #503

Purpose&#x2028; Women who carry a BRCA1 or BRCA2 genetic mutation are at significantly increased risk of breast and ovarian cancer. Interventions to reduce the risk of these cancers available these women include bilateral prophylactic mastectomy (PM) and oophorectomy (PO), or both (PMPO). However, women are often reluctant to choose these options, and prefer to delay these surgeries for childbearing or other reasons. We sought to identify the effectiveness and cost-effectiveness of these interventions and to evaluate the potential consequences of delaying prophylactic surgery in terms of risk of cancer diagnosis and life expectancy.&#x2028; Methods&#x2028; A Markov model was developed to compare the effectiveness and cost-effectiveness of prophylactic surgery in cohorts of women with the BRCA1 and BRCA2 mutations without prior breast or ovarian cancer. Multiple strategies were explored to evaluate the benefit of these interventions at various ages. Costs were estimated using Medicare reimbursement rates and secondary sources. Other model variables were estimated from the literature. Effectiveness was measured in life-years gained and quality-adjusted life-years gained in addition to breast and ovarian cancers diagnosed.&#x2028; Results&#x2028; All surgeries significantly prolong survival at all ages explored (age 30 to 45), although much more so in younger women and in BRCA1 compared to BRCA2 carriers. BRCA1 carriers at age 30 have an increased life expectancy of 4, 8, and 13 years for PM, PO, and PMPO, whereas BRCA2 carriers have an increased life expectancy of 3, 3, and 6 years respectively, vs. 2, 4, 6 years (BRCA1) and 2, 2, 4 years (BRCA2) at age 45. BRCA1 carriers who delay prophylactic surgery are projected to have a 6.4% chance of a cancer diagnosis before age 35 vs. 35% chance before age 45. BRCA2 carriers who delay surgery are projected to have a 2.6% vs. 12.1% chance of cancer diagnosis before age 35 and 45 respectively. Compared to surveillance, all options have incremental cost effectiveness ratios (ICER) less than $50,000 per quality adjusted life year gained in BRCA1 carries. However, some of these strategies are not considered cost-effective in BRCA2 carriers.&#x2028; Conclusions&#x2028; Surgical prophylactic interventions for known BRCA mutation carriers are very effective and cost-effective, although more so in younger women and in BRCA1 carriers as compared to BRCA2 carriers. These interventions are life-saving even when delayed; however, for individuals who have high disutility for prophylactic surgery, these options may reduce quality-adjusted life expectancy regardless of when the surgery is performed. Patients need to be aware of the short-term cancer risk from delaying prophylactic intervention to ensure informed trade-offs. Selection of individuals who perceive low harm or anticipate minimal adjustment to the prophylactic interventions will ensure cost-effective use of these surgical interventions.

Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 503.

Sensitivity to input variability of the Adjuvant! Online breast cancer prognostic model

PURPOSE

Adjuvant! Online (www.adjuvantonline.org) is a software model that predicts the benefit of adjuvant therapy for women with early-stage breast cancer. The model has been validated, is widely consulted, and has been shown to influence patient choices in the clinical setting. Adjuvant! requires the clinician to input patient age, tumor size, grade, hormone receptor status, number of positive lymph nodes, and comorbidity level. Because comorbidity is strongly and independently associated with survival, this study tested the hypothesis that Adjuvant! predictions would be sensitive to comorbidity inputs.

METHODS

Investigators used single-variable deterministic sensitivity analysis to evaluate the effect of varying each input of the model independently for three representative case examples based on National Comprehensive Cancer Network guidelines (NCCN). The main outcome of interest was 10-year mortality prediction.

RESULTS

The analyses show that Adjuvant!'s 10-year mortality predictions are most sensitive to patients' comorbidity levels and the extent of nodal involvement for the cases, particularly among older women. Comorbidity was the most influential input except in younger women, aged 40 years.

CONCLUSION

The Adjuvant! model is sensitive to patient comorbidity, and impact on the model outputs are significant enough that they are likely to affect physician recommendations and patients' treatment choices. For example, incorrect assessments of comorbidities could lead physicians to overtreat or undertreat a patient who is in a gray zone relative to the NCCN guidelines. These results point to the importance of accurately assessing comorbidities in patients with breast cancer when using Adjuvant! and highlight the need for a standardized process of comorbidity ascertainment.

Implementing breast cancer decision aids in community sites: barriers and resources

OBJECTIVE

To assess the feasibility of implementing four patient decision aids (PtDAs) for early stage breast cancer treatment decisions into routine clinical care in community settings.

BACKGROUND

There is very limited information available about implementing decision aids into routine clinical practice and most of this information is based on academic centres; more information is needed about implementing them into routine clinical practice in community settings.

DESIGN

Structured individual interviews.

SETTING AND PARTICIPANTS

Providers from 12 sites, including nine community hospitals, a community oncology centre and two academic centres.

MAIN OUTCOME MEASURES

Usage data, barriers to and resources for implementing the PtDAs.

RESULTS

Nine of the 12 sites were using the PtDAs with patients. All of the sites were lending the PtDAs to patients, usually without a formal sign-out system. The keys to successful implementation included nurses' and social workers' interest in distributing the PtDAs and the success of the lending model. Barriers that limited or prevented sites from using the PtDA included a lack of physician support, a lack of an organized system for distributing the PtDAs and nurses' perceptions about patients' attitude towards participation in decision making.

CONCLUSIONS

It is feasible to implement PtDAs for early stage breast cancer into routine clinical care in community settings, even with few resources available.

A role for biomarkers in the screening and diagnosis of breast cancer in younger women

The widespread usage of screening mammography has resulted in an increase in the detection of early-stage disease, particularly in situ (stage 0) and early-stage (stage 1) cancers. However, incidence of stage 2 and 3 disease has not fallen commensurately, suggesting a bias in the detection of indolent cancers rather than aggressive cancers. Improved screening and diagnosis of a broader range of cancers is therefore an important need. Although MRI is a very sensitive breast cancer detection tool that has become standard for women at very high risk, it lacks sufficient specificity and cost-effectiveness for use as a general screen. The greatest opportunity for molecular tools to improve breast cancer outcomes is to better discern biologically aggressive cancers, especially in women under the age of 50 years. In this age group, presentation in stage 2 or 3 is more common and mammographic screening is less efficacious. We propose a multi-tiered triage strategy that uses emerging markers of susceptibility to segment the population for more focused screening with imaging. In particular, it would be helpful to identify a subset of at-risk, younger women who would benefit from intensive surveillance or preventive interventions. It is likely that tests for susceptibility, unless they are highly specific, will need to be combined with indicators of short-term risk. Although the combined sensitivity and specificity of screening must be high, each individual test does not require high specificity. It is important, however, for the susceptibility tests and short-term risk markers to be highly sensitive. If the majority of women under 50 years of age who develop breast cancer are captured with this strategy, then mammography screening for the general population can start at age 50 years. Finally, and perhaps most importantly, biomarkers of susceptibility and short-term risk are likely to provide insight into the biology of tumors that develop, leading to new interventions to support prevention. The most effective preventive strategies will be those where a marker predicts risk for the disease, as well as the benefit from preventive interventions.

Pilot Trial of a Computerized Decision Aid for Breast Cancer Prevention

This study sought to evaluate a shared decision-making aid for breast cancer prevention care designed to help women make appropriate prevention decisions by presenting information about risk in context. The decision aid was implemented in a high-risk breast cancer prevention program and pilot-tested in a randomized clinical trial comparing standard consultations to use of the decision aid. Physicians completed training with the decision aid prior to enrollment. Thirty participants enrolled (15 per group) and completed measures of clinical feasibility and effectiveness prior to, immediately after, and at 9 months after their consultations. The decision aid was feasible to use during the consultations as measured by consultation duration, user satisfaction, patient knowledge, and decisional conflict. The mean consultation duration was not significantly different between groups (24 minutes for intervention group versus 21 minutes for control group, p = 0.42). The majority found the decision aid acceptable and useful and would recommend it to others. Both groups showed an improvement in breast cancer prevention knowledge postvisit, which was significant in the intervention group (p = 0.01) but not the control group (p = 0.13). However, the knowledge scores returned to baseline at follow-up in both groups. Decision preference for patients who chose chemoprevention post consultations remained constant at follow-up for the intervention group, but not for the control group. The decision framework provides access to key information during consultations and facilitates the integration of emerging biomarkers in this setting. Initial results suggest that the decision aid is feasible for use in the consultation room. The tendency for the decision choices and knowledge scores to return to baseline at follow-up suggests the need for initial and ongoing prevention decision support.

Breast Cancer Risk Assessment and Prevention: A Framework for Shared Decision-Making Consultations

Options for breast cancer prevention, used in combination with screening and surveillance, include lifestyle modifications, chemoprevention with tamoxifen, and prophylactic surgery. Preventive health decisions are often preference driven: patients typically must choose whether to initiate effective treatments that hold the possibility of side effects that can negatively impact quality of life. This situation demands that patients be well informed and have a full understanding of the risks associated with each option. Investigators have developed a comprehensive decision-making framework designed to support breast cancer prevention consultations within a shared decision-making setting. The framework integrates predictive information from current risk models within the context of a woman's general health to appropriately frame breast cancer risk management consultations and outlines the application of available treatments and emerging biomarker information to individual patient decisions. Using an evidence-based approach, specialized risk-benefit projections can be provided in the clinical setting. A more comprehensive individualized risk profile allows for tailored medical management plans and can better prepare patients to make informed decisions. The framework is intended to encourage a shared decision-making approach to prevention consultations, a method for researchers to increase accrual to trials, and to more quickly incorporate new findings into the routine of practice.

Tamoxifen may prevent both ER+ and ER- breast cancers and select for ER- carcinogenesis: an alternative hypothesis

INTRODUCTION

Breast Cancer Prevention Trial (BCPT) and Multiple Outcomes of Raloxifene (MORE) data have been interpreted to indicate that tamoxifen reduces the risk of ER+ but not ER- breast carcinogenesis. We explored whether these data also support an alternative hypothesis, that tamoxifen influences the natural history of both ER+ and ER- cancers, that it may be equally effective in abrogating or delaying ER- and ER+ carcinogenesis, and place selection pressure, in some cases, for the outgrowth of ER- cancers.

METHODS

BCPT and MORE data were used to investigate whether: first, tamoxifen could reduce equally the emergence of ER- and ER+ tumors; and second, tamoxifen could select a fraction of emerging ER+ cancers and promote their transformation to ER- cancers. Assuming that some proportion, Z, of ER+ tumors becomes ER- after tamoxifen exposure and that the risk reduction for both ER- and ER+ tumors is equal, we solved for both the transformation rate and the risk reduction rate.

RESULTS

If tamoxifen equally reduces the incidence of ER+ and ER- tumors by 60%, the BCPT results are achieved with a transformation of approximately Z = 20% of ER+ to ER- tumors. Validation with MORE data using an equal risk reduction of 60% associated with tamoxifen produces an almost identical transformation rate Z of 23%.

CONCLUSION

Data support an alternative hypothesis that tamoxifen may promote ER- carcinogenesis from a precursor lesion that would otherwise have developed as ER+ without tamoxifen selection.

Evaluation of breast cancer risk assessment techniques: a cost-effectiveness analysis

OBJECTIVE

Assess the effectiveness and cost-effectiveness of using biomarkers and risk assessment tools to stratify women for breast cancer preventive interventions.

METHODS

A Markov model was developed to compare risk management strategies for high-risk women considering chemoprevention. Annual screening is compared to the use of chemoprevention for all women and the use of risk assessment technologies to stratify patients for chemoprevention. The biomarker atypia was used to stratify women by risk. Random fine-needle aspiration (rFNA) and ductal lavage (DL) were evaluated and compared as the risk assessment tools used to discover atypia. Sensitivity analyses explore assumptions regarding the prognostic and predictive characteristics of atypia, both the relative breast cancer risk and benefit from chemoprevention women with atypia incur.

RESULTS

Risk assessment strategies using rFNA or DL in combination with chemoprevention are found to be cost-effective (<$50,000 per life year saved) in high-risk groups under most scenarios. Both strategies were more effective and less costly in younger cohorts. Effectiveness of the risk assessment strategies increased when higher risk and increased benefit from chemoprevention were associated with atypia. Within the scenarios tested, rFNA is less costly than DL.

CONCLUSION

rFNA and DL appear to be cost-effective in high-risk women, assuming women with detected atypia choose tamoxifen. The tools are largely effective for women who are not motivated to take tamoxifen but would be if atypia were found. As biomarker risk assessment tools better predict the risk of breast cancer and or benefit of interventions, their cost-effectiveness increases.

Evaluation of Breast Cancer Risk Assessment Techniques: A Cost-effectiveness Analysis

Objective: Assess the effectiveness and cost-effectiveness of using biomarkers and risk assessment tools to stratify women for breast cancer preventive interventions.

Methods: A Markov model was developed to compare risk management strategies for high-risk women considering chemoprevention. Annual screening is compared to the use of chemoprevention for all women and the use of risk assessment technologies to stratify patients for chemoprevention. The biomarker atypia was used to stratify women by risk. Random fine-needle aspiration (rFNA) and ductal lavage (DL) were evaluated and compared as the risk assessment tools used to discover atypia. Sensitivity analyses explore assumptions regarding the prognostic and predictive characteristics of atypia, both the relative breast cancer risk and benefit from chemoprevention women with atypia incur.

Results: Risk assessment strategies using rFNA or DL in combination with chemoprevention are found to be cost-effective (&lt;$50,000 per life year saved) in high-risk groups under most scenarios. Both strategies were more effective and less costly in younger cohorts. Effectiveness of the risk assessment strategies increased when higher risk and increased benefit from chemoprevention were associated with atypia. Within the scenarios tested, rFNA is less costly than DL.

Conclusion: rFNA and DL appear to be cost-effective in high-risk women, assuming women with detected atypia choose tamoxifen. The tools are largely effective for women who are not motivated to take tamoxifen but would be if atypia were found. As biomarker risk assessment tools better predict the risk of breast cancer and or benefit of interventions, their cost-effectiveness increases.