Abstract
Background & Objectives
Mammographic screening has been shown to result in downward stage migration, reflected by smaller tumor sizes and less extensive nodal involvement. New national guidelines restrict screening recommendations in women age 40-49. The purpose of this study is to evaluate the specific impact of mammographic screening patterns on the surgical management of breast cancer in women aged 40-49.
Methods
The study is a population-based retrospective review of the Vermont Breast Cancer Surveillance System of women aged 40 to 49 with a diagnosis of breast cancer. Tumor stage and related characteristics at the time of diagnosis, as well as the type of surgical intervention performed were recorded for women presenting with screen-detected versus non-screen-detected breast cancer.
Results
Screen-detected breast cancers in women aged 40-49 were associated with a greater incidence of DCIS, smaller invasive tumor size, fewer cases of positive nodes, and higher rates of breast conservation compared to non-screened women presenting with symptomatic disease.
Conclusions
Mammographic screening is associated with less aggressive surgical treatment of breast cancer including higher rates of breast conservation. The observed changes in surgical management should factor into individual decision-making regarding screening mammography.
Keywords: mammogram, screening, quality, breast cancer, breast conserving surgery
Introduction
Screening mammography has demonstrated significant mortality reduction in both randomized controlled trials and evaluations of large, population-based organized screening programs. 1-8 Concerns have been raised, however, over potential risks and harms of mammographic screening including the risk of over-diagnosis. 9,10 In 2009, the US Preventive Services Task Force issued new guidelines for screening mammography, notably restricting recommendations in women aged 40-49 to shared decision-making, while recommending biennial screening for women ages 50-74.11 These guidelines are a departure from the prior USPSTF recommendations of routine screening every 1 to 2 years for all women starting at age 40,12 and have generated considerable controversy. Other organizations such as the American Cancer Society (ACS) have also amended prior guidelines. The ACS now endorses a process of informed decision making where women aged 40-44 are given the option to consider screening based on individual priorities, whereas routine annual screening is only recommended for women beginning at age 45.13,14 The central argument has focused on the number of lives saved compared to the risks of screening, which include over-diagnosis and false-positive findings.15 Despite the differing views on the benefits/harms of mammography, there has been increasing consensus for a more personalized approach based on patient preferences and individual risk assessment.16,17
The fundamental goal of mammographic screening is to reduce the incidence rate of advanced disease. It is important to note that screening mammography leads to significant downward stage migration, reflected by smaller tumor size and fewer cases of positive nodes at the time of treatment, which may impact options and outcomes for breast cancer surgery.18-24 Woman presenting with smaller, node-negative tumors are more likely to be candidates for breast conservation and minimal (if any) axillary node staging. These benefits in surgical management associated with screening may greatly affect patient morbidity, satisfaction, and cost of care.
We have previously shown a decline in state-wide screening rates among low-risk women aged 40-49 following the introduction of the USPSTF guidelines in 2009.25 It remains unknown how variations in screening patterns in this age group have influenced their surgical management. The purpose of this study is to evaluate the influence of state-wide mammography screening patterns on surgical management at the time of breast cancer diagnosis in women aged 40-49. We hypothesize that tumor size and axillary node status are affected by screening patterns, and that this in turn influences the surgical treatment performed.
Methods
Overview
We conducted a retrospective review of data from the Vermont Breast Cancer Surveillance System (VBCSS), to identify patients diagnosed with breast cancer between January 1, 1996 and December 31, 2012. The VBCSS includes a statewide registry of all breast imaging with linked patient, radiology, and pathology data.26 It is part of the National Cancer Institute’s Breast Cancer Surveillance Consortium (BCSC)27 and the National Cancer Institute’s recently formed Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) program.28 This study was compliant with the Health Insurance Portability and Accountability Act and was approved by the University of Vermont Institutional Review Board with a waiver of informed consent. Approximately 5% of the women in the VBCSS indicated that they did not wish their data to be used in research via an opt-out mechanism and were thus excluded from the study.
At each mammography visit to any breast imaging facility in Vermont, each patient completes a standardized questionnaire including health history and demographic information, which is provided to the VBCSS. Radiologists and mammography technologists provide information on the clinical mammography findings and the reason for the visit. Pathology reports are provided to the VBCSS for all breast specimens. Linkage with the Vermont Cancer Registry provides detailed data on all malignant breast diagnoses. Information on biopsies and treatments received were obtained from pathology reports (via specimen type) and from information within the Vermont Cancer Registry.
Study population
We identified 1,449 women (aged 40 to 49) with a diagnosis of breast cancer from the VBCSS records. Eligibility was restricted to first primary breast cancer cases diagnosed between 1996 and 2012 with a known method of detection. Patients with an unknown stage at diagnosis were removed from analyses (n=100).
Screening classification
Cases were characterized into “screened” vs. “non-screened” categories based on the following definitions. “Screened” cases were those diagnosed with breast cancer within 12 months following a screening or short interval follow-up mammogram. Non-screened, symptom-detected cases were defined at those diagnosed among women without a screening mammogram in the past year who presented at mammography a diagnostic evaluation of symptoms (such as a palpable lump, pain, nodal enlargement, or swelling).
Tumor classification and Surgical Management
Breast cancers were classified based on data provided by the mandatory statewide Vermont Cancer Registry, including SEER summary stage (in situ, localized, regional, or distant), tumor size, tumor grade, estrogen receptor status, lymph node removal, and nodal status (positive vs. negative). For certain analyses, late stage disease was defined as SEER summary stage regional or distant and large tumors were defined as those greater than 20 mm in diameter. First course of treatment for each case was also obtained from the Vermont Cancer Registry, including surgery type (breast conserving surgery vs. total mastectomy).
Statistical analyses
Descriptive statistics were used to characterize patient characteristics, cancer characteristics, and surgical management according to screening classification (screened vs. non-screened symptomatic). Pearson chi-square tests were used to assess differences in these factors between screened and non-screened cases. All reported P values are two-sided, with p < 0.05 indicative of significance. Multivariable logistic regression was used to compare the frequency of adverse tumor characteristics by screening classification, with adjustment for age and year of diagnosis. All statistical analysis was performed using SAS software.
Results
Between 1996 and 2012, there were 1,449 women between ages 40 to 49 diagnosed with breast cancer with known stage and mode of detection. The demographic data for patient characteristics at the time of diagnosis for the study cohort of women ages 40-49 are presented in Table 1. Sixty-eight percent of the breast cancer diagnoses in patients 40-49 were associated with a screening mammogram. The vast majority of women with screen-detected and non-screen detected breast cancer had no family history of breast cancer, 72.1% and 71.5%, respectively.
Table 1.
Variable | Screened (%) (n=979) |
Non-screened (%) (n=470) |
P-value |
---|---|---|---|
Body Mass Index | 0.08 | ||
<18.5 kg/m2 | 12 (1.2) | 13 (2.8) | |
18.5-24.9 kg/m2 | 490 (50.1) | 225 (47.9) | |
25.0-29.9 kg/m2 | 248 (25.3) | 98 (20.9) | |
30.0+ kg/m2 | 188 (19.2) | 93 (19.8) | |
Unknown | 41 (4.2) | 41 (8.7) | |
First-Degree Family History | 0.02 | ||
No | 706 (72.1) | 336 (71.5) | |
Yes | 200 (20.4) | 66 (14.0) | |
Unknown | 73 (7.5) | 68 (14.5) | |
Education | <0.0001 | ||
Less than high school diploma | 21 (2.2) | 31 (6.6) | |
High school diploma | 216 (22.1) | 120 (25.5) | |
Some college | 197 (20.1) | 111 (23.6) | |
College degree | 541 (55.3) | 197 (41.9) | |
Unknown | 4 (0.4) | 11 (2.3) | |
Breast Density | 0.30 | ||
Almost entirely fat | 18 (1.8) | 8 (1.7) | |
Scattered fibroglandular elements | 234 (23.9) | 99 (21.1) | |
Heterogeneously dense | 418 (42.7) | 198 (42.1) | |
Extremely dense | 113 (11.5) | 69 (14.7) | |
Unknown | 196 (20.0) | 96 (20.4) |
The percent of patients with non-invasive disease (DCIS) was significantly higher in the screened population (29.4%) than in the non-screened symptomatic group (7.0%) (p<0.0001). Screened women with invasive disease were more likely to have a lower stage at diagnosis (p<0.0001), smaller tumor size (p<0.0001) and lower tumor grade (p=0.04) than women in the non-screened, symptomatic group. (Table 2).
Table 2.
Variable | Screened (%) (n=979) |
Non-screened (%) (n=470) |
P-value |
---|---|---|---|
Diagnosis Type | <0.0001 | ||
In situ | 288 (29.4) | 33 (7.0) | |
Invasive | 691 (70.6) | 437 (93.0) | |
Stage at Diagnosis | <0.0001 | ||
In situ | 288 (29.4) | 33 (7.0) | |
Localized | 447 (45.7) | 206 (43.8) | |
Regional | 221 (22.6) | 201 (42.8) | |
Distant | 12 (1.2) | 24 (5.1) | |
Unknown | 11 (1.1) | 6 (1.3) | |
Tumor Size | <0.0001 | ||
In situ | 288 (29.4) | 33 (7.0) | |
≤ 2.0 cm | 491 (50.2) | 208 (44.3) | |
2.1-5.0 cm | 147 (15.0) | 162 (34.5) | |
≥ 5.0 cm | 26 (2.7) | 47 (10.0) | |
Unknown | 27 (2.8) | 20 (4.4) | |
Tumor Grade | 0.04 | ||
Low | 181 (18.5) | 70 (14.9) | |
Intermediate | 386 (39.4) | 187 (39.8) | |
High | 271 (27.7) | 162 (34.5) | |
Unknown | 141 (14.4) | 51 (10.9) |
The surgical management and treatment data for women with primary breast cancer is shown in Table 3. Women aged 40-49 who received a screening mammogram were less likely to require removal of lymph nodes than non-screened symptomatic patients (30.8% vs. 20.4%, p<0.0001). In addition, women in the screened group were more likely to receive a sentinel node biopsy rather than a regional node dissection compared to the non-screened symptomatic patients (21.3% vs. 13.4%, p<0.0001). The frequency of positive nodes encountered was lower in patients receiving screening mammograms when compared to the non-screened group (22.4% vs. 43.4%, p<0.0001). Patients in the non-screen-detected group were more likely to undergo total mastectomy when compared to the screen detected group (31.1% vs. 25.3%, p<0.0001). Similarly, the rate of breast conservation surgery was higher in the screened detected group compared to the non-screened group (69.6% vs. 58.7%, p<0.0001). The remaining patients either had no surgery or the specific surgical intervention was unknown.
Table 3.
Variable | Screened (%) (n=979) |
Non-screened (%) (n=470) |
P-value |
---|---|---|---|
Lymph Node Surgery | <0.0001 | ||
No nodes removed | 301 (30.8) | 96 (20.4) | |
Sentinel Lymph Node Biopsy | 208 (21.3) | 63 (13.4) | |
Regional nodes removed | 457 (46.7) | 308 (65.5) | |
Unknown | 13 (1.3) | 3 (0.6) | |
Nodal Disease | <0.0001 | ||
All nodes negative | 478 (48.8) | 197 (41.9) | |
Positive nodes found | 219 (22.4) | 204 (43.4) | |
No nodes examined | 274 (28.0) | 61 (13.0) | |
Unknown | 8 (0.8) | 8 (1.7) | |
Surgical Management of Tumor | <0.0001 | ||
None | 39 (4.0) | 44 (9.4) | |
Breast Conservation Surgery | 681 (69.6) | 276 (58.7) | |
Total mastectomy | 248 (25.3) | 146 (31.1) | |
Unknown | 11 (1.1) | 4 (0.9) |
Results from the multivariable-adjusted regression models are presented in Table 4. After adjusting for age and year of diagnosis, cancers diagnosed among non-screened symptomatic women were more likely to have adverse tumor characteristics and undergo more aggressive treatments compared to cancers diagnosed among screened women. Specifically, breast cancers among non-screened symptomatic women were more frequently invasive, larger in size, later in stage, higher grade, more frequently node positive (all p<0.0001), and were more likely to be treated with total mastectomy (p=0.05).
Table 4.
Odds Ratios* (95% Confidence Interval) | |||
---|---|---|---|
Screened | Non-Screened | P-value | |
Invasive (vs. in situ) | 1.00 (Ref) | 4.85 (3.40, 6.91) | <0.0001 |
Late stage | 1.00 (Ref) | 2.77 (2.20, 3.48) | <0.0001 |
Large size | 1.00 (Ref) | 3.70 (2.90, 4.73) | <0.0001 |
High grade (vs. low/intermediate) | 1.00 (Ref) | 1.33 (1.04-1.69) | 0.02 |
ER negative | 1.00 (Ref) | 1.50 (1.11, 2.03) | 0.01 |
Any nodes removed | 1.00 (Ref) | 1.89 (1.44, 2.48) | <0.0001 |
Regional nodes removed | 1.00 (Ref) | 1.94 (1.54-2.44) | <0.0001 |
Nodes positive | 1.00 (Ref) | 2.48 (1.97, 3.13) | <0.0001 |
Mastectomy | 1.00 (Ref) | 1.28 (1.00, 1.62) | 0.05 |
All analysis adjusted for year and age
Discussion
Although much of the discussion about breast cancer screening traditionally centers on survival, our data suggests that other clinically relevant outcomes are affected by screening recommendations and should be considered when weighing the potential benefits and harms in individualized screening recommendations. Specifically, our study demonstrated an increase in the stage of disease at presentation in non-screened women aged 40-49, compared to screened women in the same age group. The Breast Health Global Initiative (BHGI)29 uses median invasive tumor size as an indicator of the quality of breast cancer detection and the ability of a screening system to optimize early identification of disease. In our study, the comparison of screen-detected versus non screen-detected breast cancer for women in their 40s not only demonstrated smaller tumor size, but also less invasive surgical procedures associated with screened versus non-screened patient populations. Women aged 40-49 who did not receive screening mammograms were less likely to be treated with breast conservation and more frequently required axillary node dissections. Similar findings have been reported by Malmgren et al.,18 who showed that screening mammograms resulted in lower rates of mastectomy in women aged 40-49 at a single institution prior to the USPSTF recommendations. Our study confirms this finding on a larger state-wide scale, adding evidence to the impact of breast cancer screening on surgical management.
Although not directly measured in our data, undergoing more invasive surgical procedures for breast cancer has been associated with poorer function and lower quality of life scores in breast cancer survivors.30-35 Disruption in body image, sexual health and lifestyle is observed in women requiring more aggressive procedures such as total mastectomy and axillary node dissection; especially in the younger patient population. 36,37
It is important to note that we intended to compare women participating in a screening program to women who were not participating in a screening program. The cases among woman participating in a screening program will inevitably include interval cases. Interval cases will have a different set of characteristics from true screen-detected cases (which is an interesting question in its own right), but the focus of this study was to determine overall how cases among women involved in screening program (screen-detected and interval) compare to women not involved in a screening program. Similarly, our population of screened women includes a mix of women being screened for the first time, screened for the Nth consecutive annual exam, screened after a lag of 5 years, and so on. Future analyses could examine treatments received in relation to these details among the regularlyscreened cases (ideally in a national dataset).
One noted limitation is that some screening classifications could not be determined either due to 1) not having mammography records for that individual within the time period of the cancer diagnosis, or 2) not having the indication for exam known (i.e. screening vs. diagnostic). The first scenario occurred most frequently when records from the Vermont Cancer Registry were from an individual living in Vermont who may have received breast imaging out of state. Of note, the second scenario occurred with relative rarity. We postulate that the missing data reflect limitations in the completeness of the database (e.g., not capturing out of state imaging) but does not reflect limitations in accuracy. For this study caution was taken to ensure that the screening classification was performed accurately, such that the results reflect the true differences between screen-detected cancers and those presenting with symptomatic disease. We have no reason to believe that the results would be different for the cases with imaging performed out of state and the exclusion of these cases is very unlikely to bias the results. Another recognized limitation is the lack of data on adherence to regular screening. As mentioned previously, since the classification of patients into screened (including intervals) and non-screened cohorts was made primarily to distinguish cancer detection between groups of women in a screening program compared to those with “symptomatic” cancer detection, determining adherence rates, or proportion of interval detections would not alter the main findings of the study.
Our study is also subject to limitations inherent to retrospective observational studies. Women undergoing screening often differ in many ways from women not undergoing screening.38,39 Differences in breast cancer risk according to screening utilization could influence our results. To minimize bias, we used multivariable-adjusted regression analyses that controlled for family history of breast cancer and mammographic breast density, which are the strongest breast cancer risk factors in the general population (i.e., aside from rare high penetrance mutations such as BRCA1/2).
Other limitations included our inability to assess more detailed aspects of surgical management as we did not have access to timing or dosing of neoadjuvant, adjuvant and radiation treatments. Finally, our study population reflects a relatively homogenous Caucasian patient population which may limit the applicability of our findings to more ethnically diverse regions. Nevertheless, a key strength of our data is the statewide coverage of the VBCSS and the inclusion of breast cancer cases from all health care systems in the state.
Conclusions
Mammographic screening leads to downward stage migration of breast cancer and less aggressive surgical treatment. Screened women aged 40-49 diagnosed with breast cancer have smaller tumor size, higher rates of DCIS, fewer cases of positive nodes, and undergo less aggressive surgical procedures for the management of breast cancer compared to non-screened women presenting with symptomatic/palpable disease. The extent of surgical intervention has implications for patient satisfaction, treatment-related morbidity, cost and quality of life. We believe that women, health care providers and policy makers should consider these findings as they consider individual breast cancer screening decisions and policy guidelines.
Synopsis.
A statewide clinical database demonstrated that mammographic screening was associated with smaller tumor size and fewer positive nodes at the time of diagnosis. This in turn resulted in higher rates of breast conservation and fewer axillary lymph node dissections performed in the treatment of breast cancer. These findings have implications for the quality of clinical outcomes as well as cost of cancer care.
Acknowledgements
This study was supported in part by grants from the National Cancer Institute (U54 CA163303 and P01 CA154292). The collection of cancer data used in this study was supported in part by the Vermont Cancer Registry, Vermont Department of Health. The authors wish to thank Ali Johnson and Jennifer Kachajian for providing access to the Vermont Cancer Registry data.
References
- 1.Kerlikowske K, Zhu W, Hubbard RA, et al. Outcomes of screening mammography by frequency, breast density, and postmenopausal hormone therapy. JAMA internal medicine. 2013;173(9):807–816. doi: 10.1001/jamainternmed.2013.307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Shapiro S, Venet W, Strax P, Venet L, Roeser R. Ten- to fourteen-year effect of screening on breast cancer mortality. Journal of the National Cancer Institute. 1982;69(2):349–355. [PubMed] [Google Scholar]
- 3.Strax P. Control of breast cancer through mass screening. Jama. 1976;235(15):1600–1602. [PubMed] [Google Scholar]
- 4.Oluwole SF, Ali AO, Adu A, et al. Impact of a cancer screening program on breast cancer stage at diagnosis in a medically underserved urban community. Journal of the American College of Surgeons. 2003;196(2):180–188. doi: 10.1016/S1072-7515(02)01765-9. [DOI] [PubMed] [Google Scholar]
- 5.Armstrong K, Moye E, Williams S, Berlin JA, Reynolds EE. Screening mammography in women 40 to 49 years of age: a systematic review for the American College of Physicians. Annals of internal medicine. 2007;146(7):516–526. doi: 10.7326/0003-4819-146-7-200704030-00008. [DOI] [PubMed] [Google Scholar]
- 6.Moss SM, Cuckle H, Evans A, Johns L, Waller M, Bobrow L. Effect of mammographic screening from age 40 years on breast cancer mortality at 10 years' follow-up: a randomised controlled trial. Lancet. 2006;368(9552):2053–2060. doi: 10.1016/S0140-6736(06)69834-6. [DOI] [PubMed] [Google Scholar]
- 7.Warner E. Clinical practice. Breast-cancer screening. The New England journal of medicine. 2011;365(11):1025–1032. doi: 10.1056/NEJMcp1101540. [DOI] [PubMed] [Google Scholar]
- 8.White E, Miglioretti DL, Yankaskas BC, et al. Biennial versus annual mammography and the risk of late-stage breast cancer. J Natl Cancer Inst. 2004;96(24):1832–1839. doi: 10.1093/jnci/djh337. [DOI] [PubMed] [Google Scholar]
- 9.Jorgensen K. Is the tide turning against breast screening? Breast cancer research : BCR. 2012;14(4):107. doi: 10.1186/bcr3212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Gotzsche PC, Jorgensen KJ. Screening for breast cancer with mammography. The Cochrane database of systematic reviews. 2013;6 doi: 10.1002/14651858.CD001877.pub5. Cd001877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.USPSTF Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement. Annals of internal medicine. 2009;151(10):716–726. doi: 10.7326/0003-4819-151-10-200911170-00008. W-236. [DOI] [PubMed] [Google Scholar]
- 12.USPSTF Screening for breast cancer: recommendations and rationale. Annals of internal medicine. 2002;137(5 Part 1):344–346. doi: 10.7326/0003-4819-137-5_part_1-200209030-00011. [DOI] [PubMed] [Google Scholar]
- 13.Smith RA, Cokkinides V, Brawley OW. Cancer screening in the United States, 2009: a review of current American Cancer Society guidelines and issues in cancer screening. CA: a cancer journal for clinicians. 2009;59(1):27–41. doi: 10.3322/caac.20008. [DOI] [PubMed] [Google Scholar]
- 14.Lee CH, Dershaw DD, Kopans D, et al. Breast cancer screening with imaging: recommendations from the Society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer. Journal of the American College of Radiology : JACR. 2010;7(1):18–27. doi: 10.1016/j.jacr.2009.09.022. [DOI] [PubMed] [Google Scholar]
- 15.Duffy SW, Agbaje O, Tabar L, et al. Overdiagnosis and overtreatment of breast cancer: estimates of overdiagnosis from two trials of mammographic screening for breast cancer. Breast Cancer Res. 2005;7(6):258–265. doi: 10.1186/bcr1354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Schousboe JT, Kerlikowske K, Loh A, Cummings SR. Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness. Annals of internal medicine. 2011;155(1):10–20. doi: 10.7326/0003-4819-155-1-201107050-00003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Nelson HD, Zakher B, Cantor A, et al. Risk factors for breast cancer for women aged 40 to 49 years: a systematic review and meta-analysis. Ann Intern Med. 2012;156(9):635–648. doi: 10.1059/0003-4819-156-9-201205010-00006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Malmgren JA, Parikh J, Atwood MK, Kaplan HG. Impact of mammography detection on the course of breast cancer in women aged 40-49 years. Radiology. 2012;262(3):797–806. doi: 10.1148/radiol.11111734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Malmgren JA, Parikh J, Atwood MK, Kaplan HG. Improved prognosis of women aged 75 and older with mammography-detected breast cancer. Radiology. 2014;273(3):686–694. doi: 10.1148/radiol.14140209. [DOI] [PubMed] [Google Scholar]
- 20.Plecha D, Salem N, Kremer M, et al. Neglecting to screen women between 40 and 49 years old with mammography: what is the impact on treatment morbidity and potential risk reduction? AJR. American journal of roentgenology. 2014;202(2):282–288. doi: 10.2214/AJR.13.11382. [DOI] [PubMed] [Google Scholar]
- 21.Agarwal S, Pappas L, Neumayer L, Kokeny K, Agarwal J. Effect of breast conservation therapy vs mastectomy on disease-specific survival for early-stage breast cancer. JAMA Surg. 2014;149(3):267–274. doi: 10.1001/jamasurg.2013.3049. [DOI] [PubMed] [Google Scholar]
- 22.Kremer ME, Downs-Holmes C, Novak RD, et al. Neglecting to screen women between the ages of 40 and 49 years with mammography: what is the impact on breast cancer diagnosis? AJR Am J Roentgenol. 2012;198(5):1218–1222. doi: 10.2214/AJR.11.7200. [DOI] [PubMed] [Google Scholar]
- 23.Boughey JC, Suman VJ, Mittendorf EA, et al. Sentinel lymph node surgery after neoadjuvant chemotherapy in patients with node-positive breast cancer: the ACOSOG Z1071 (Alliance) clinical trial. JAMA. 2013;310(14):1455–1461. doi: 10.1001/jama.2013.278932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Tabar L, Yen AM, Wu WY, et al. Insights from the breast cancer screening trials: how screening affects the natural history of breast cancer and implications for evaluating service screening programs. Breast J. 2015;21(1):13–20. doi: 10.1111/tbj.12354. [DOI] [PubMed] [Google Scholar]
- 25.Sprague BL, Bolton KC, Mace JL, et al. Registry-based study of trends in breast cancer screening mammography before and after the 2009 U.S. Preventive Services Task Force recommendations. Radiology. 2014;270(2):354–361. doi: 10.1148/radiol.13131063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Bolton KC, Mace JL, Vacek PM, et al. Changes in breast cancer risk distribution among Vermont women using screening mammography. Journal of the National Cancer Institute. 2014;106(8) doi: 10.1093/jnci/dju157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ballard-Barbash R, Taplin SH, Yankaskas BC, et al. Breast Cancer Surveillance Consortium: a national mammography screening and outcomes database. AJR. American journal of roentgenology. 1997;169(4):1001–1008. doi: 10.2214/ajr.169.4.9308451. [DOI] [PubMed] [Google Scholar]
- 28.Onega T, Beaber EF, Sprague BL, et al. Breast cancer screening in an era of personalized regimens: a conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level. Cancer. 2014;120(19):2955–2964. doi: 10.1002/cncr.28771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Yip CH, Anderson BO. The Breast Health Global Initiative: clinical practice guidelines for management of breast cancer in low- and middle-income countries. Expert Rev Anticancer Ther. 2007;7(8):1095–1104. doi: 10.1586/14737140.7.8.1095. [DOI] [PubMed] [Google Scholar]
- 30.Kiebert GM, de Haes JC, van de Velde CJ. The impact of breast-conserving treatment and mastectomy on the quality of life of early-stage breast cancer patients: a review. J Clin Oncol. 1991;9(6):1059–1070. doi: 10.1200/JCO.1991.9.6.1059. [DOI] [PubMed] [Google Scholar]
- 31.Del Bianco P, Zavagno G, Burelli P, et al. Morbidity comparison of sentinel lymph node biopsy versus conventional axillary lymph node dissection for breast cancer patients: results of the sentinella-GIVOM Italian randomised clinical trial. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology. 2008;34(5):508–513. doi: 10.1016/j.ejso.2007.05.017. [DOI] [PubMed] [Google Scholar]
- 32.Burak WE, Hollenbeck ST, Zervos EE, Hock KL, Kemp LC, Young DC. Sentinel lymph node biopsy results in less postoperative morbidity compared with axillary lymph node dissection for breast cancer. American journal of surgery. 2002;183(1):23–27. doi: 10.1016/s0002-9610(01)00848-0. [DOI] [PubMed] [Google Scholar]
- 33.Schulze T, Mucke J, Markwardt J, Schlag PM, Bembenek A. Long-term morbidity of patients with early breast cancer after sentinel lymph node biopsy compared to axillary lymph node dissection. J Surg Oncol. 2006;93(2):109–119. doi: 10.1002/jso.20406. [DOI] [PubMed] [Google Scholar]
- 34.Arndt V, Stegmaier C, Ziegler H, Brenner H. Quality of life over 5 years in women with breast cancer after breast-conserving therapy versus mastectomy: a population-based study. J Cancer Res Clin Oncol. 2008;134(12):1311–1318. doi: 10.1007/s00432-008-0418-y. [DOI] [PubMed] [Google Scholar]
- 35.Crane-Okada R, Wascher RA, Elashoff D, Giuliano AE. Long-term morbidity of sentinel node biopsy versus complete axillary dissection for unilateral breast cancer. Ann Surg Oncol. 2008;15(7):1996–2005. doi: 10.1245/s10434-008-9909-y. [DOI] [PubMed] [Google Scholar]
- 36.Engel J, Kerr J, Schlesinger-Raab A, Sauer H, Holzel D. Quality of life following breast-conserving therapy or mastectomy: results of a 5-year prospective study. Breast J. 2004;10(3):223–231. doi: 10.1111/j.1075-122X.2004.21323.x. [DOI] [PubMed] [Google Scholar]
- 37.Fleissig A, Fallowfield LJ, Langridge CI, et al. Post-operative arm morbidity and quality of life. Results of the ALMANAC randomised trial comparing sentinel node biopsy with standard axillary treatment in the management of patients with early breast cancer. Breast Cancer Res Treat. 2006;95(3):279–293. doi: 10.1007/s10549-005-9025-7. [DOI] [PubMed] [Google Scholar]
- 38.Coughlin SS, King J. Breast and cervical cancer screening among women in metropolitan areas of the United States by county-level commuting time to work and use of public transportation, 2004 and 2006. BMC public health. 2010;10:146. doi: 10.1186/1471-2458-10-146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Smith-Bindman R, Miglioretti DL, Lurie N, et al. Does utilization of screening mammography explain racial and ethnic differences in breast cancer? Ann Intern Med. 2006;144(8):541–553. doi: 10.7326/0003-4819-144-8-200604180-00004. [DOI] [PubMed] [Google Scholar]