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Breast Cancer Screening Recommendations Inclusive of All Women at Average RiskUpdate from the ACR and Society of Breast Imaging

Learning Objective
Describe the American College of Radiology and the Society for Breast Imaging's recommendations for screening mammography
1 Credit

While mammography screening has been proven effective in reducing breast cancer deaths, treatment advances cannot overcome the disadvantage of being diagnosed with an advanced-stage tumor. New screening guidance from the American College of Radiology and Society of Breast Imaging recommends annual mammography screening beginning at age 40, which provides the greatest mortality reduction, diagnosis at earlier stage, better surgical options, and more effective chemotherapy. Screening should continue past age 74 years, without an upper age limit unless severe comorbidities limit life expectancy. Updated guidelines also cover screening for transgender patients.


Breast cancer remains the most common nonskin cancer, the second leading cause of cancer death, and the leading cause of premature death, measured by the average and total years of life lost, for women in the United States.1 Breast cancer currently accounts for 30% of all new invasive cancer diagnoses in women. For 2021, 333 490 new invasive and in situ cases and 44 130 breast cancer deaths are expected nationwide.2

Breast imaging experts from the ACR and Society of Breast Imaging (SBI) have reviewed extensive data from randomized controlled trials (RCTs), observational trials, and peer-reviewed literature on digital mammography, digital breast tomosynthesis (DBT), ultrasound, and MRI. Our analysis incorporates the ACR Appropriateness Criteria, which use accepted robust strength-of-evidence methodology.3

Since our most recent guideline4, new data are available to evaluate the impact of screening using advanced-stage and fatal breast cancers, to assess the utilization and benefits of DBT, and to evaluate disparities in breast cancer screening and treatment among minority women. With this guideline, we offer recommendations more inclusive of all women of average risk for breast cancer.

Mammography Screening

Mammography remains the principal modality of early detection for women of average risk. Early detection allows for diagnosis of tumors of smaller sizes with fewer nodal metastases and less histologic grade progression, making treatment more effective.58 The decline in advanced-stage disease afforded by mammography screening is directly related to substantial declines in breast cancer mortality.5,912 The ACR and SBI recommend annual mammography screening starting at age 40 to maximize these benefits. Both benefits and risks of mammography screening should be considered to assist women in making informed choices.

Benefits of Mammography Screening

Mammography screening has been proven effective in reducing breast cancer death in women age 40 years and over.4,9,1317

The 11 mammography RCTs have demonstrated a collective 22% reduction in breast cancer mortality9,18, despite the limitations of RCT design. RCTs test only the invitation to screening, not actual screening. RCTs that achieved a 20% or greater reduction in advanced-stage disease (a measure of trial efficacy) had average mortality reduction of 28% for invited women—corresponding to an approximately 40% mortality reduction for women actually screened.9

Numerous observational trials have demonstrated mortality reductions of 40% or greater with organized screening.13,14,1923 The largest service screening trial to date screened 2.8 million women and achieved a 40% mortality reduction in every province in Canada in every age group, including those 40 to 49 years.14

Cancer Intervention and Surveillance Modeling Network (CISNET) models have been used to evaluate US screening. The US Preventive Service Task Force has commissioned CISNET to examine outcomes of particular interest to them.2426 For example, 2016 CISNET models considered screening only to age 74, even though data exist beyond that age, so that recommendations by organizations other than the US Preventive Service Task Force could not be evaluated.26,27 Regardless, independent researchers studying CISNET models have confirmed that annual screening starting at age 40 would result in a 40% reduction in breast cancer mortality24,27, consistent with observational studies worldwide.

There is risk in not screening. Treatment advances are important but cannot overcome the disadvantage of being diagnosed with an advanced-stage tumor. Using the incidence rates of fatal breast cancers, Tabar et al have shown that, with equivalent state-of-the-art treatment, screened women had 60% lower breast cancer mortality at 10-year follow-up and 47% lower mortality at 20-year follow-up than unscreened women over a 58-year study period.6 Using similar methodologies, Duffy et al found that among 559 091 women who participated in screening, there was a statistically significant 41% reduction in breast cancer deaths within 10 years of diagnosis and a 25% reduction in the rate of advanced cancers, compared with unscreened women, independent of treatment regimen.5 Participation in screening saved lives that would otherwise be lost with current therapies.

Mammography-detected tumors are more effectively treated.2833 Women in their 40s29 and women 75 and older30 with mammographically detected cancers have lower-stage disease, less treatment, lower recurrence rates, and better disease-specific survival. The method of detection is an independent prognostic factor for breast cancer mortality.28,31

Risks of Mammography Screening

The primary, quantifiable risks of screening mammography are recall for additional imaging and, after diagnostic evaluation, recommendation for biopsy that yields benign results. Recall occurs when an abnormality identified at screening requires further evaluation; if the ultimate result is not malignant, this is referred to by some as a false-positive mammogram. Lee et al reviewed 5 680 743 screening examinations in the National Mammography Database, the largest mammography registry in the United States. On average, 9.6% of screened women had to return for additional imaging.34 In other studies, risk of recall after a screening examination for women of all ages ranged from 9.6% to 11.6%.3437 Most abnormal screening examinations are resolved by imaging alone. Recommendations for biopsy, most performed with minimally invasive percutaneous techniques, occur in fewer than 2% of screened women.38

A woman screened annually starting at age 40 could expect recall for benign diagnostic workup once every 13 years and to undergo a benign biopsy once every 187 years, based on CISNET modeling.27 Modeling the risks of screening based on different screening regimens demonstrates more risks (primarily recalls) with annual screening beginning at age 40 compared with other strategies, but often these risks are overstated.26,27 Although recall and biopsy recommendations are higher with more frequent screening, so are life-years gained and deaths averted.27 Comparing biopsy risk to benefit shows that a woman screened annually starting at age 40 could expect 1 life-year gained for every benign biopsy.27

Efforts to reduce risks have been made through improvements in mammographic technology. Specifically, DBT decreases false-positive mammograms while simultaneously increasing cancer detection. In the largest study to date, involving 454 850 patients, Friedewald et al showed the recall rate decreased from 10.7% to 9.1% (relative decrease 15%) using DBT, with a concomitant increase in cancer detection rate (CDR) from 4.2 in 1000 to 5.4 in 1000 (relative increase 29%).39

These improvements are sustainable. The digital mammography recall rate decreased from 10.4% to 8.8% after the prevalent screen with DBT. After 5 years of DBT screening, the recall rate decreased to 6.1% while maintaining the improvement in CDR.40

Anxiety has been given as a reason to delay the onset and decrease the frequency of screening mammography.18,41 This fails to account for the highly variable experience of anxiety among women who attend screening4245 and also the added anxiety and regret women may endure when diagnosed with advanced breast cancer that might have been detected earlier with screening. Women have repeatedly indicated their willingness to undergo diagnostic mammograms and false-positive results in exchange for increased likelihood of early detection.46,47 Efforts to diminish anxiety, such as individual and public education of patients, rapid delivery of results, and other strategies, are encouraged.4852

Overdiagnosis occurs when a cancer is detected that would not have otherwise become clinically apparent in a woman's lifetime.53,54 Overdiagnosis cannot be measured directly. Unless specificity and sensitivity are 100%, the results of any test will either overdiagnose or underdiagnose disease. A meta-analysis by the EUROSCREEN group showed overdiagnosis ranged from 0% to 10% (including ductal carcinoma in situ) among adequately adjusted studies [55]. The higher end of the range occurs in older women, who are more likely to die of other causes than younger women. Current benchmarks produce less than 1% overdiagnosis for women in their 40s and less than 2% for women in their 50s (Table 1).54,56,57

Table 1. Overdiagnosis rates as a function of age and assuming an average lead time of 24 months

Age (y)DCISInvasiveAll Cancer

Delaying screening until age 45 or 50, or lengthening screening interval, will not decrease the already low levels of overdiagnosis.58 Overdiagnosed tumors persist on imaging just as lethal tumors do and will be diagnosed at the next screening, which, if delayed, could result in later-stage diagnosis.58 Delay in discovery of lethal tumors would result in underdiagnosis, with concomitant increases in anxiety, cost, treatment, morbidity, and mortality.24,33,59

Based on limited existing data, the international scientific consensus recognizes a linear relationship between radiation dose and risk of radiation-induced solid organ cancers, including breast cancer, for doses above 100 mGy.60,61 The mean glandular dose from a screening mammogram is approximately 3 mGy, or the equivalent of 6 weeks of natural background radiation.62 Based on models that consider the unverified possibility (there are no documented cases) of radiation-induced breast cancer at doses of 3 mGy6365, lives saved by screening mammography far outweigh the theoretical possibility of lives lost from radiation exposure by a ratio of 50 to 75:1.62,66,67

Interval and Age

Annual screening is recommended. This results in more screening-detected tumors, tumors of smaller size, and fewer interval cancers than biennial screening, the latter a key determinant of survival33,6875. Webb et al found that interval cancers presenting in the second year after a negative mammogram caused 34% of deaths from breast cancer in screened women and 47% of breast cancer deaths in women 40 to 49 years old.33 Modeling by Wu et al shows that biennial screening misses the diagnosis of breast cancer in preclinical stages in nearly 2 of 3 women.71

Annual mammography before a breast cancer diagnosis is predictive of increased overall survival; women who had missed any of the previous five annual mammograms had a 2.3-fold increase in all-cause mortality compared with those who had missed none.76 Although annual surveillance is thought to be more important in younger women, Sanderson et al used the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) data to show that women 69 to 84 years of age screened annually had lower 10-year breast cancer mortality than women screened biennially or sporadically regardless of race.77 CISNET models confirm that annual screening affords the best mortality reduction for all age groups.24,27

Screening should begin at age 40. Screened women in their 40s are more likely to have early-stage disease, negative lymph nodes, and smaller tumors than unscreened women.78,79 A 10-year review showed statistically significant improvement in 5-year disease-free survival (94% versus 71%) and overall survival (97% versus 78%) for screened versus unscreened women ages 40 to 49 years with breast cancer, all of whom had similar treatments [79]. For a single cohort who turned 40 years old in 2000, annual screening from 40 to 84 years would avert 29 369 breast cancer deaths, 71% more deaths averted than biennial screening limited to ages 50 to 74.27

Recommendations to delay screening until age 50 adversely affect minority women as one-third of all breast cancers in Black, Asian, and Hispanic women are diagnosed under age 50.80 The SEER program describes the different ethnic groups as non-Hispanic White (NHW), non-Hispanic Black (NHB), Hispanic, American Indian or Alaska Native, and Asian or Pacific Islander. Analysis of SEER 21 data by Hendrick et al81 shows that, among all women with breast cancer, minority women are 72% more likely to be diagnosed with invasive breast cancer under age 50 years and 58% more likely to be diagnosed with advanced-stage disease under age 50 years than NHW women. Among women dying of breast cancer, minority women are 127% more likely to die under age 50 years than NHW women (personal communication, R.E. Hendrick). Comparison of younger (15-44 years) and older (45-64 years) women using SEER 18 data found a greater proportion of younger women were diagnosed at late stages compared with older women (48.1% versus 38.7%, P < .0001) and a significant 54.5% of younger NHB women and 52.9% of younger Hispanic women were diagnosed with late-stage disease, compared with 46.0% for younger NHW women (P < .0001 for both).82

Screening should continue past age 74 without an upper age limit, unless severe comorbidities limit life expectancy or ability to accept treatment. One in five breast cancers occurs in women 75 years or older.83 Performance metrics among women ages 75 to 90 years are increasingly favorable with higher CDRs, sensitivity, and specificity and fewer false-positives compared with younger women.34 Destounis et al found a substantial CDR of 8.4 in 1000 in 18 497 women aged 75 or older, with most cancers invasive but highly treatable.84 CISNET confirms that screening women after age 74 results in benefits in terms of breast cancer deaths averted and life-years gained with no upper age limit, although both metrics steadily decline with age.85 In addition, quality-adjust life-years remain positive for screening up to age 90.27,85

Mammography-detected invasive breast cancer in women aged 75 and older is associated with significantly better 5-year disease-specific survival (97% versus 87%, P < .001).30 Even with mild to moderate comorbidities, the relative risk of death for mammography-detected tumors is 53% less for women aged 75 to 79 years and 48% less for women 80 years and older.83 Using recent SEER data, Hendrick et al showed that, among women over 40, women aged 70 to 79 years have had the steepest increase in distant-stage breast cancer rates and slowest mortality declines86, highlighting the need to continue screening this cohort.


In addition to being diagnosed at younger ages, NHB women have 40% higher breast cancer mortality than NHW women.87 Contributing factors include higher incidence of BRCA1 and BRCA2 mutations [88,89] and twice the incidence of aggressive, triple-negative breast cancers in NHB women.9092 Systems-based factors contribute to the mortality disparity and could be targeted to eliminate much of the mortality difference.93,94 For example, Black and NHW women had equal breast cancer mortality rates in the 1980s but rates declined only for NHW women after widespread utilization of screening mammography in the 1990s.94 Other minority groups face worse breast cancer outcomes as well. Examining the SEER-17 database, Banegas et al found that breast-cancer-specific mortality for Hispanic Black, Hispanic White and NHB women was 10% to 50% higher than for NHW women.95

Although the disadvantages of younger age at diagnosis and tumor biology cannot be eliminated, providing all women earlier risk assessment, equal access to high-quality screening mammography beginning at age 40, and equitable treatment could reduce disparity in the breast cancer mortality. Chen et al reported that screening mammography reduced the mortality disparity when Black and White women had equitable treatment of triple-negative breast cancer.96

Individuals who identify as lesbian, gay, bisexual, transgender, or queer are less likely to present for cancer screening than non–lesbian, gay, bisexual, transgender, or queer persons.97 Facilities must work to create a respectful environment that welcomes all people.98 For average-risk transgender patients, recommendations depend on sex assigned at birth, use and duration of hormones, and surgical history and are based on limited data and expert opinion. Annual screening at age 40 is recommended for transfeminine (male-to-female) patients who have used hormones for ≥5 years, as well as for transmasculine (female-to-male) patients who have not had mastectomy.99

Risk Assessment

In 2018, the ACR issued new recommendations that all women be evaluated for breast cancer risk by age 30, so that those at higher risk can be identified and begin screening before age 40.100 Similarly, the American College of Breast Surgeons advises all women over age 25 to undergo risk assessment. There are a variety of risk assessment models available, and new methods, including deep-learning-based systems, are being tested.100102

Other Modalities

Evidence continues to accumulate confirming the ability of supplemental screening technologies, including MRI, whole breast ultrasound, contrast-enhanced mammography, and molecular breast imaging, to detect incremental cancers after negative mammographic screening.103,104 Most studies involve women at elevated risk. Kuhl et al showed that screening MR found incremental cancers in women at average risk (Interval Cancer Detection Rate [ICDR] = 15.5 per 1000), 40% of which occurred in women with ACR category A or B breast density.105 However, at this time, there is insufficient evidence to support supplemental screening in average-risk women.

Other Considerations

The ACR Appropriateness Criteria are evidence-based recommendations using a process that entails extensive assessment of the literature and follows well-established methodologies to rate the appropriateness of imaging for specific clinical scenarios. The ACR Appropriateness Criteria for breast cancer screening in average-risk women assigned the highest rating (“usually appropriate”) to annual screening mammography or DBT beginning at age 40 with no upper age limit.106

The ACR Practice Parameters are expert-authored policy statements regarding the safe and effective use of imaging. The goal of the parameters is to narrow variability among radiology practices and provide guidance to optimize quality. The ACR Practice Parameter for the Performance of Screening and Diagnostic Mammography recommends annual screening mammography beginning at age 40 for average-risk women with no specific upper age for cessation of screening.107

The National Comprehensive Cancer Network (NCCN) is a not-for-profit organization of 30 leading cancer centers with multidisciplinary clinical experts.108 The NCCN states that the primary goal of screening is reduction of mortality and treatment-related morbidity and, therefore, recommends annual screening mammography starting at age 40.109 Per the NCCN, upper age of screening should be based on assessment of comorbid conditions that affect life expectancy and the individual's treatment desires. These recommendations are of Category 1 Evidence and Consensus.110

NCCN recognizes that all major organizations are in agreement that maximum mortality reduction is achieved when screening begins at age 40, but differences occur because of “subjective value judgments between the benefits versus the risks.” The ACR, SBI, and NCCN believe that each woman should have the opportunity to choose the regimen with the highest associated benefit and that there should be financial coverage for her choice.


Women have a choice of whether and how often to be screened for breast cancer. Annual mammography screening starting at age 40 provides the greatest breast cancer mortality reduction, diagnosis at earlier stage, better surgical options, and more effective chemotherapy. These benefits should be considered along with the possibility of recall for additional imaging and benign biopsy and the less tangible risks of anxiety and overdiagnosis. Assessing the relative importance of these factors is a value judgement, not a scientific calculation. As stated in our previous work, weighing benefits and risks should be done by women, not for women, once accurate information is given. Women who wish to maximize the benefits will choose annual screening starting at age 40 and will not stop screening prematurely. Delaying the age to start screening will result in unnecessary loss of life to breast cancer and will disadvantage minority women in particular. All women, especially minority women, should have a risk assessment by age 30, to ensure that they are not in a higher-risk category, for which supplemental screening might be considered.100

Take-Home Points

  • Mammography screening has been proven effective in reducing breast cancer deaths in women age 40 years and older, with a mortality reduction of 40% possible with regular screening.

  • Annual mammography screening starting at age 40 provides the greatest breast cancer mortality reduction by enabling diagnosis at smaller sizes and earlier stages, better surgical options, and more effective chemotherapy.

  • Delaying screening until age 45 or 50 results in unnecessary loss of life to breast cancer, adversely affecting minority women in particular.

  • Breast cancer screening in women ages 75 years and older has continued benefits in terms of deaths averted and life-years gained.

  • Annual screening results in more screening-detected tumors, tumors of smaller sizes, and fewer interval cancers than longer screening intervals.

  • There is risk in not screening; treatment advances are important but cannot overcome the disadvantage of being diagnosed with an advanced-stage tumor.

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This content and the individual contributions contained in it are protected under copyright by the American College of Radiology.

To read more about imaging and patient-centered care, visit the Journal of the American College of Radiology.

Disclosure Statement: Dr Friedewald reports Hologic consultant and Google research grant; Dr Leung reports advisory board Subtle Medical; speaker at educational events supported by Fujfilm,, and Hologic; Dr Hendrick reports consultant, GE Healthcare; Dr Moy reports iCAD advisory board, institutional grants, stock unit. The other authors state that they have no conflict of interest related to the material discussed in this article. Dr Monticciolo, Dr Malak, Dr Friedewald, Dr Eby, Dr Newell, Dr Moy, Dr Leung, and Dr Smetherman are nonpartner, non–partnership track employees. Dr Hendrick is retired. Dr Destounis is Partner; Owner and Managing Partner at Elizabeth Wende Breast Care, Rochester, New York.

Smith  RA, Andrews  KS, Brooks  D,  et al Cancer screening in the United States, 2019: a review of current American Cancer Society guidelines and current issues in cancer screening .  CA Cancer J Clin. 2019;69:184–210. Google ScholarCrossref
Siegel  RL, Miller  KD, Fuchs  HE, Jemal  A.  Cancer statistics, 2021 .  CA Cancer J Clin. 2021;71:7–33. Google ScholarCrossref
ACR.  ACR Appropriateness Criteria . Available at: https://www.acr.org/Clinical-Resources/ACR-Appropriateness-Criteria. Accessed February 28, 2021.
Monticciolo  DL, Newell  MS, Hendrick  RE,  et al Breast cancer screening for average-risk women: recommendations from the ACR Commission on Breast Imaging .  J Am Coll Radiol. 2017;14:1137–1143. Google ScholarCrossref
Duffy  SW, Tabar  L, Yen  AM,  et al Mammography screening reduces rates of advanced and fatal breast cancers: results in 549,091 women .  Cancer. 2020;126:2971–2979. Google ScholarCrossref
Tabar  L, Dean  PB, Chen  TH,  et al The incidence of fatal breast cancer measures the increased effectiveness of therapy in women participating in mammography screening .  Cancer. 2019;125:515–523. Google ScholarCrossref
Tabar  L, Chen  TH, Yen  AM,  et al Effect of mammography screening on mortality by histological grade .  Cancer Epidemiol Biomarkers Prev. 2018;27:154–157. Google ScholarCrossref
Tabar  L, Duffy  SW, Vitak  B, Chen  H-H, Prevost  TC.  The natural history of breast carcinoma .  Cancer. 1999;86:449–462. Google ScholarCrossref
Tabár  L, Yen  AM-F, Wu  WY-Y,  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. 2014;21:13–20. Google ScholarCrossref
Helvie  MA, Chang  JT, Hendrick  RE, Banerjee  M.  Reduction in late-stage breast cancer incidence in the mammography era: implications for overdiagnosis of invasive cancer .  Cancer. 2014;120:2649–2656. Google ScholarCrossref
Puliti  D, Bucchi  L, Mancini  S,  et al Advanced breast cancer rates in the epoch of service screening: the 400,000 women cohort study from Italy .  Eur J Cancer. 2017;75:109–116. Google ScholarCrossref
Foca  F, Mancini  S, Bucchi  L,  et al Decreasing incidence of late-stage breast cancer after the introduction of organized mammography screening in Italy .  Cancer. 2013;119:2022–2028. Google ScholarCrossref
Broeders  M, Moss  S, Nyström  L,  et al The impact of mammographic screening on breast cancer mortality in Europe: a review of observational studies .  J Med Screen. 2012;19(1 Suppl):14–25. Google Scholar
Coldman  A, Phillips  N, Wilson  C,  et al Pan-Canadian study of mammography screening and mortality from breast cancer .  J Natl Cancer Inst. 2014;106:dju261–dju. Google ScholarCrossref
Tabár  L, Vitak  B, Chen  TH-H,  et al Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades .  Radiology. 2011;260:658–663. Google ScholarCrossref
Ray  KM, Joe  BN, Freimanis  RI, Sickles  EA, Hendrick  RE.  Screening mammography in women 40-49 years old: current evidence .  AJR Am J Roentgenol. 2018;210:264–270. Google ScholarCrossref
Chen  TH-H, Yen  AM-F, Fann  JC-Y,  et al Clarifying the debate on population-based screening for breast cancer with mammography .  Medicine. 2017;96:. Google Scholar
Oeffinger  KC, Fontham  ETH, Etzioni  R,  et al Breast cancer screening for women at average risk .  JAMA. 2015;314:1599–1614. Google ScholarCrossref
Pocobelli  G, Weiss  NS.  Breast cancer mortality in relation to receipt of screening mammography: a case–control study in Saskatchewan, Canada .  Cancer Causes Control. 2014;26:231–237. Google ScholarCrossref
Yen  AM-F, Tsau  H-S, Fann  JC-Y,  et al Population-based breast cancer screening with risk-based and universal mammography screening compared with clinical breast examination .  JAMA Oncol. 2016;2:915. Google ScholarCrossref
Morrell  S, Taylor  R, Roder  D, Robson  B, Gregory  M, Craig  K.  Mammography service screening and breast cancer mortality in New Zealand: a National Cohort Study 1999–2011 .  Br J Cancer. 2017;116:828–839. Google ScholarCrossref
Moss  S, Nyström  L, Jonsson  H,  et al The impact of mammographic screening on breast cancer mortality in Europe: a review of trend studies .  J Med Screen. 2012;19(1 Suppl):26–32. Google Scholar
Nickson  C, Mason  KE, English  DR, Kavanagh  AM.  Mammographic screening and breast cancer mortality: a case–control study and meta-analysis .  Cancer Epidemiol Biomarkers Prev. 2012;21:1479–1488. Google ScholarCrossref
Hendrick  RE, Helvie  MA.  United States Preventive Services Task Force Screening mammography recommendations: science ignored .  AJR Am J Roentgenol. 2011;196:W112–W116. Google ScholarCrossref
Mandelblatt  JS, Cronin  KA, Bailey  S,  et al Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms .  Ann Intern Med. 2009;151:738–747. Google ScholarCrossref
Mandelblatt  JS, Stout  NK, Schechter  CB,  et al Collaborative modeling of the benefits and harms associated with different U.S. breast cancer screening strategies .  Ann Intern Med. 2016;164:215–225. Google ScholarCrossref
Arleo  EK, Hendrick  RE, Helvie  MA, Sickles  EA.  Comparison of recommendations for screening mammography using CISNET models .  Cancer. 2017;123:3673–3680. Google ScholarCrossref
Dong  W, Berry  DA, Bevers  TB,  et al Prognostic role of detection method and its relationship with tumor biomarkers in breast cancer: the University of Texas M.D. Anderson Cancer Center experience .  Cancer Epidemiol Biomarkers Prev. 2008;17:1096–1103. Google ScholarCrossref
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;262:797–806. Google ScholarCrossref
Malmgren  JA, Parikh  J, Atwood  MK, Kaplan  HG.  Improved prognosis of women aged 75 and older with mammography-detected breast cancer .  Radiology. 2014;273:686–694. Google ScholarCrossref
Puvanesarajah  S, Gapstur  SM, Patel  AV,  et al Mode of detection and breast cancer mortality by follow-up time and tumor characteristics among screened women in Cancer Prevention Study-II .  Breast Cancer Res Treat. 2019;177:679–689. Google ScholarCrossref
Spencer  DB, Potter  JE, Chung  MA, Fulton  J, Hebert  W, Cady  B.  Mammographic screening and disease presentation of breast cancer patients who die of disease .  Breast J. 2004;10:298–303. Google ScholarCrossref
Webb  ML, Cady  B, Michaelson  JS,  et al A failure analysis of invasive breast cancer: most deaths from disease occur in women not regularly screened .  Cancer. 2014;120:2839–2846. Google ScholarCrossref
Lee  CS, Sengupta  D, Bhargavan-Chatfield  M, Sickles  EA, Burnside  ES, Zuley  ML.  Association of patient age with outcomes of current-era, large-scale screening mammography: analysis of data from the national mammography database .  JAMA Oncol. 2017;3:1134–1136. Google ScholarCrossref
Rosenberg  RD, Yankaskas  BC, Abraham  LA,  et al Performance benchmarks for screening mammography .  Radiology. 2006;241:55–66. Google ScholarCrossref
Lehman  CD, Arao  RF, Sprague  BL,  et al National performance benchmarks for modern screening digital mammography: update from the Breast Cancer Surveillance Consortium .  Radiology. 2017;283:49–58. Google ScholarCrossref
Lee  CS, Bhargavan-Chatfield  M, Burnside  ES, Nagy  P, Sickles  EA.  The National Mammography Database: preliminary data .  AJR Am J Roentgenol. 2016;206:883–890. Google ScholarCrossref
Blanchard  K, Colbert  JA, Kopans  DB,  et al Long-term risk of false-positive screening results and subsequent biopsy as a function of mammography use .  Radiology. 2006;240:335–342. Google ScholarCrossref
Friedewald  SM, Rafferty  EA, Rose  SL,  et al Breast cancer screening using tomosynthesis in combination with digital mammography .  JAMA. 2014;311:2499. Google ScholarCrossref
Conant  EF, Zuckerman  SP, McDonald ES  JA, ,  et al Five consecutive years of screening with digital breast tomosynthesis: outcomes by screening year and round .  Radiology. 2020;295:285–293. Google ScholarCrossref
Siu  AL.  Screening for Breast Cancer: U.S. Preventive Services Task Force recommendation statement .  Ann Intern Med. 2016;164:279. Google ScholarCrossref
Bolejko  A, Hagell  P, Wann-Hansson  C, Zackrisson  S.  Prevalence, long-term development, and predictors of psychosocial consequences of false-positive mammography among women attending population-based screening .  Cancer Epidemiol Biomarkers Prev. 2015;24:1388–1397. Google ScholarCrossref
Bond  M, Pavey  T, Welch  K,  et al Systematic review of the psychological consequences of false-positive screening mammograms .  Health Technol Assess. 2013;17:1–170. v-vi. Google ScholarCrossref
Brett  J, Austoker  J.  Women who are recalled for further investigation for breast screening: psychological consequences 3 years after recall and factors affecting re-attendance .  J Public Health Med. 2001;23:292–300. Google ScholarCrossref
Brodersen  J, Siersma  VD.  Long-term psychosocial consequences of false-positive screening mammography .  Ann Fam Med. 2013;11:106–115. Google ScholarCrossref
Ganott  MA, Sumkin  JH, King  JL,  et al Screening mammography: do women prefer a higher recall rate given the possibility of earlier detection of cancer?  Radiology. 2006;238:793–800. Google ScholarCrossref
Mathioudakis  AG, Salakari  M, Pylkkanen  L,  et al Systematic review on women's values and preferences concerning breast cancer screening and diagnostic services .  Psychooncology. 2019;28:939–947. Google ScholarCrossref
Ashton  JC, Bousquet  D, Fevrier  E,  et al Massage therapy in the breast imaging department: repurposing an ancient anxiety reducing method .  Clin Imaging. 2020;67:49–54. Google ScholarCrossref
Barton  MB, Morley  DS, Moore  S,  et al Decreasing women's anxieties after abnormal mammograms: a controlled trial .  J Natl Cancer Inst. 2004;96:529–538. Google ScholarCrossref
Lee  J, Hardesty  LA, Kunzler  NM, Rosenkrantz  AB.  Direct interactive public education by breast radiologists about screening mammography: impact on anxiety and empowerment .  J Am Coll Radiol. 2016;13:12–20. Google ScholarCrossref
Lungulescu  CV, Lungulescu  C, Lungulescu  LT,  et al The effect of psychoeducation on anxiety in women undergoing their initial breast cancer screening mammography .  J Nerv Ment Dis. 2018;206:931–934. Google ScholarCrossref
Zavotsky  KE, Banavage  A, James  P, Easter  K, Pontieri-Lewis  V, Lutwin  L.  The effects of music on pain and anxiety during screening mammography .  Clin J Oncol Nurs. 2014;18:E45–E49. Google ScholarCrossref
Lee  CI, Etzioni  R.  Missteps in current estimates of cancer overdiagnosis .  Acad Radiol. 2017;24:226–229. Google ScholarCrossref
Monticciolo  DL, Helvie  MA, Hendrick  RE.  Current issues in the overdiagnosis and overtreatment of breast cancer .  AJR Am J Roentgenol. 2018;210:285–291. Google ScholarCrossref
Puliti  D, Duffy  SW, Miccinesi  G,  et al Overdiagnosis in mammographic screening for breast cancer in Europe: a literature review .  J Med Screen. 2012;19(1 Suppl):42–56. Google Scholar
Hendrick  RE.  Obligate overdiagnosis due to mammographic screening: a direct estimate for U.S. women .  Radiology. 2018;287:391–397. Google ScholarCrossref
van Luijt  PA, Heijnsdijk  EAM, van Ravesteyn  NT, Hofvind  S, de Koning  HJ.  Breast cancer incidence trends in Norway and estimates of overdiagnosis .  J Med Screen. 2016;24:83–91. Google ScholarCrossref
Arleo  EK, Monticciolo  DL, Monsees  B, McGinty  G, Sickles  EA.  Persistent untreated screening-detected breast cancer: an argument against delaying screening or increasing the interval between screenings .  J Am Coll Radiol. 2017;14:863–867. Google ScholarCrossref
DeSantis  CE, Lin  CC, Mariotto  AB,  et al Cancer treatment and survivorship statistics, 2014 .  CA Cancer J Clin. 2014;64:252–271. Google ScholarCrossref
 Health risks from exposure to low levels of ionizing radiation: BEIR VII, phase 2 .  Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation, Monson RR, chair. Washington, DC: National Academies Press; 2006. Google Scholar
Charles  MW.  ICRP publication 103: recommendations of the ICRP .  Radiat Prot Dosimetry. 2007;129:500–507. Google ScholarCrossref
Hendrick  RE.  Radiation doses and risks in breast screening .  J Breast Imaging. 2020;2:188–200. Google ScholarCrossref
Cardarelli  JJ, Ulsh  BA.  It Is time to move beyond the linear no-threshold theory for low-dose radiation protection .  Dose Response. 2018;16. 155932581877965. Google Scholar
Hendee  WR, O'Connor  MK.  Radiation risks of medical imaging: separating fact from fantasy .  Radiology. 2012;264:312–321. Google ScholarCrossref
Preston  RJ.  Update on linear non-threshold dose-response model and implications for diagnostic radiology procedures .  Health Phys. 2008;95:541–546. Google ScholarCrossref
Hendrick  RE, Tredennick  T.  Benefit to radiation risk of breast-specific gamma imaging compared with mammography in screening asymptomatic women with dense breasts .  Radiology. 2016;281:583–588. Google ScholarCrossref
Yaffe  MJ, Mainprize  JG.  Risk of radiation-induced breast cancer from mammographic screening .  Radiology. 2011;258:98–105. Google ScholarCrossref
Field  LR, Wilson  TE, Strawderman  M, Gabriel  H, Helvie  MA.  Mammographic screening in women more than 64 years old: a comparison of 1- and 2-year intervals .  AJR Am J Roentgenol. 1998;170:961–965. Google ScholarCrossref
Hunt  KA, Rosen  EL, Sickles  EA.  Outcome analysis for women undergoing annual versus biennial screening mammography: a review of 24,211 examinations .  AJR Am J Roentgenol. 1999;173:285–289. Google ScholarCrossref
Miglioretti  DL, Zhu  W, Kerlikowske  K,  et al Breast tumor prognostic characteristics and biennial vs annual mammography, age, and menopausal status .  JAMA Oncol. 2015;1:1069. Google ScholarCrossref
Wu  JC, Hakama  M, Anttila  A,  et al Estimation of natural history parameters of breast cancer based on non-randomized organized screening data: subsidiary analysis of effects of inter-screening interval, sensitivity, and attendance rate on reduction of advanced cancer .  Breast Cancer Res Treat. 2010;122:553–566. Google ScholarCrossref
Michaelson  JS, Satija  S, Kopans  D,  et al Gauging the impact of breast carcinoma screening in terms of tumor size and death rate .  Cancer. 2003;98:2114–2124. Google ScholarCrossref
Randall  D, Morrell  S, Taylor  R, Hung  WT.  Annual or biennial mammography screening for women at a higher risk with a family history of breast cancer: prognostic indicators of screen-detected cancers in New South Wales, Australia .  Cancer Causes Control. 2009;20:559–566. Google ScholarCrossref
Saadatmand  S, Bretveld  R, Siesling  S, Tilanus-Linthorst  MMA.  Influence of tumour stage at breast cancer detection on survival in modern times: population based study in 173 797 patients .  BMJ. 2015. h4901. Google Scholar
Destounis  S, Santacroce  A.  Age to begin and intervals for breast cancer screening: balancing benefits and harms .  AJR Am J Roentgenol. 2018;210:279–284. Google ScholarCrossref
Engel  JM, Stankowski-Drengler  TJ, Stankowski  RV, Liang  H, Doi  SA, Onitilo  AA.  All-cause mortality is decreased in women undergoing annual mammography before breast cancer diagnosis .  AJR Am J Roentgenol. 2015;204:898–902. Google ScholarCrossref
Sanderson  M, Levine  RS, Fadden  MK,  et al Mammography screening among the elderly: a research challenge .  Am J Med. 2015;128:1362 e7–14. Google ScholarCrossref
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 Am J Roentgenol. 2014;202:282–288. Google ScholarCrossref
Shen  N, Hammonds  LS, Madsen  D, Dale  P.  Mammography in 40-year-old women: what difference does it make? The potential impact of the U.S. Preventative Services Task Force (USPSTF) mammography guidelines .  Ann Surg Oncol. 2011;18:3066–3071. Google ScholarCrossref
Stapleton  SM, Oseni  TO, Bababekov  YJ, Hung  Y-C, Chang  DC.  Race/ethnicity and age distribution of breast cancer diagnosis in the United States .  JAMA Surg. 2018;153:594. Google ScholarCrossref
Hendrick  RE, Monticciolo  DL, Biggs  KW, Malak  SF.  Age distributions of breast cancer diagnosis and mortality by race and ethnicity in United States women .  Cancer. 2021. May, In press. Google Scholar
Hung  M-C, Ekwueme  DU, Rim  SH, White  A.  Racial/ethnicity disparities in invasive breast cancer among younger and older women: an analysis using multiple measures of population health .  Cancer Epidemiol. 2016;45:112–118. Google ScholarCrossref
Lee  CS, Moy  L, Joe  BN, Sickles  EA, Niell  BL.  Screening for breast cancer in women age 75 years and older .  AJR Am J Roentgenol. 2018;210:256–263. Google ScholarCrossref
Destounis  S, Arieno  A, Santacroce  A.  Screening mammography: there is value in screening women aged 75 years and older .  J Breast Imaging. 2019;1:182–185. Google ScholarCrossref
van Ravesteyn  NT, Stout  NK, Schechter  CB,  et al Benefits and harms of mammography screening after age 74 years: model estimates of overdiagnosis .  J Natl Cancer Inst. 2015;107:djv103–djv. Google ScholarCrossref
Hendrick  RE, Helvie  MA, Monticciolo  DL.  Breast cancer mortality rates have stopped declining in U.S. women younger than 40 years .  Radiology. 2021;299:143–149. Google ScholarCrossref
American Cancer Society.  Cancer facts & figures 2021. Atlanta, GA: American Cancer Society; 2021.
Churpek  JE, Walsh  T, Zheng  Y,  et al Inherited predisposition to breast cancer among African American women .  Breast Cancer Res Treat. 2014;149:31–39. Google ScholarCrossref
Hall  MJ, Reid  JE, Burbidge  LA,  et al BRCA1 and BRCA2 mutations in women of different ethnicities undergoing testing for hereditary breast-ovarian cancer .  Cancer. 2009;115:2222–2233. Google ScholarCrossref
Amirikia  KC, Mills  P, Bush  J, Newman  LA.  Higher population-based incidence rates of triple-negative breast cancer among young African-American women .  Cancer. 2011;117:2747–2753. Google ScholarCrossref
Kohler  BA, Sherman  RL, Howlader  N,  et al Annual report to the nation on the status of cancer, 1975-2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state .  J Natl Cancer Inst. 2015;107http://dx.doi.org/10.1093/jnci/djv048. Google Scholar
Newman  LA, Kaljee  LM.  Health disparities and triple-negative breast cancer in African American women .  JAMA Surg. 2017;152:485. Google ScholarCrossref
Hunt  BR, Hurlbert  MS.  Black:white disparities in breast cancer mortality in the 50 largest cities in the United States, 2005–2014 .  Cancer Epidemiol. 2016;45:169–173. Google ScholarCrossref
Whitman  S, Ansell  D, Orsi  J, Francois  T.  The racial disparity in breast cancer mortality .  J Community Health. 2010;36:588–596. Google ScholarCrossref
Banegas  MP, Li  CI.  Breast cancer characteristics and outcomes among Hispanic Black and Hispanic White women .  Breast Cancer Res Treat. 2012;134:1297–1304. Google ScholarCrossref
Chen  Y, Susick  L, Davis  M,  et al Evaluation of triple-negative breast cancer early detection via mammography screening and outcomes in African American and White American patients .  JAMA Surg. 2020;155:440–442. Google ScholarCrossref
Haviland  K, Swette  S, Kelechi  T, Mueller  M.  Barriers and facilitators to cancer screening among LGBTQ individuals with cancer .  Oncol Nurs Forum. 2020;47:44–55. Google ScholarCrossref
Perry  H, Fang  AJ, Tsai  EM, Slanetz  PJ.  Imaging health and radiology care of transgender patients: a call to build evidence-based best practices .  J Am Coll Radiol. 2021;18:475–480. Google ScholarCrossref
American College of Radiology ACR Appropriateness Criteria®.  Transgender breast cancer screening. Reston, Virginia: ACR; 2021. Available at: https://www.acr.org/Clinical-Resources/ACR-Appropriateness-Criteria. Accessed June 15, 2021.
Monticciolo  DL, Newell  MS, Moy  L, Niell  B, Monsees  B, Sickles  EA.  Breast cancer screening in women at higher-than-average risk: recommendations from the ACR .  J Am Coll Radiol. 2018;15(3 Pt A):408–414. Google Scholar
Lee  CS, Sickles  EA, Moy  L.  Risk stratification for screening mammography: benefits and harms .  AJR Am J Roentgenol. 2019;212:250–258. Google ScholarCrossref
Yala  A, Lehman  C, Schuster  T, Portnoi  T, Barzilay  R.  A deep learning mammography-based model for improved breast cancer risk prediction .  Radiology. 2019;292:60–66. Google ScholarCrossref
Vourtsis  A, Berg  WA.  Screening breast ultrasound using handheld or automated technique in women with dense breasts .  J Breast Imaging. 2019;1:283–296. Google Scholar
Berg  WA, Rafferty  EA, Friedewald  SM, Hruska  CB, Rahbar  H.  Screening algorithms in dense breasts: AJR Expert Panel Narrative Review .  AJR Am J Roentgenol. 2021;216:275–294. Google ScholarCrossref
Kuhl  CK, Strobel  K, Bieling  H, Leutner  C, Schild  HH, Schrading  S.  Supplemental breast MR imaging screening of women with average risk of breast cancer .  Radiology. 2017;283:361–370. Google ScholarCrossref
Mainiero  MB, Moy  L, Baron  P,  et al ACR Appropriateness Criteria ® Breast Cancer Screening .  J Am Coll Radiol. 2017;14:S383–S390. Google ScholarCrossref
 ACR Practice Parameter for the Performance of Screening and Diagnostic Mammography . Available at: https://www.acr.org/-/media/ACR/Files/Practice-Parameters/Screen-Diag-Mammo.pdf Published 2018. Accessed March 13, 2021.
Bevers  TB, Helvie  M, Bonaccio  E,  et al NCCN Guidelines V 1.2021, Breast Cancer Screening and Diagnosis . National Comprehensive Cancer Network. Available at: https://www.nccn.org/professionals/development.aspx.

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