Skip to main content
HHS Author Manuscripts logoLink to HHS Author Manuscripts
. Author manuscript; available in PMC: 2026 Sep 19.
Published in final edited form as: JAMA. 2024 Jun 11;331(22):1931–1946. doi: 10.1001/jama.2023.25844

Screening for Breast Cancer: A Comparative Effectiveness Review for the US Preventive Services Task Force

Jillian T Henderson 1, Elizabeth M Webber 1, Meghan S Weyrich 2, Marykate Miller 2, Joy Melnikow 2
PMCID: PMC13587997  NIHMSID: NIHMS2198552  PMID: 38687490

Abstract

Importance:

Breast cancer is a leading cause of cancer mortality for US women. Trials have established that screening mammography can reduce mortality risk, but optimal screening ages, intervals, and modalities for population screening guidelines remain unclear.

Objective:

To review studies comparing different breast cancer screening strategies for the U.S. Preventive Services Task Force.

Data Sources:

MEDLINE, Cochrane Library through August 22, 2022; literature surveillance through May 2023.

Study Selection:

English-language; RCTs and nonrandomized studies comparing screening strategies; expanded criteria for screening harms.

Data Extraction and Synthesis:

Two reviewers independently assessed study eligibility and quality; data extracted from fair- and good-quality studies.

Main Outcomes and Measures:

Mortality, morbidity, progression to advanced cancer, interval cancers, screening harms.

Results:

7 RCTs and 13 nonrandomized studies were included; 2 nonrandomized studies reported mortality outcomes. A nonrandomized trial emulation estimated no mortality difference for screening beyond age 74 (aHR 1.00 [95%CI 0.83 to 1.19]). Advanced cancer detection did not differ following annual or biennial screening intervals in a nonrandomized study. Three trials compared digital breast tomosynthesis (DBT) mammography screening with digital mammography alone. With DBT, more invasive cancers were detected at the first screening round than with DM, but there were no statistically significant differences in interval cancers (pooled RR 0.87 [95% CI, 0.64–1.17] k = 3, n = 130,196, I2 0%). Risk of advanced cancer (stage II+) at the subsequent screening round was not statistically significant for DBT versus DM in the individual trials. Limited evidence from trials and nonrandomized studies suggested lower recall rates with DBT. An RCT randomizing individuals with dense breasts to invitations for supplemental screening with magnetic resonance imaging reported reduced interval cancer risk (RR 0.47 [95% CI 0.29–0.77]) and additional false-positive recalls and biopsies with the intervention; advanced breast cancer incidence, morbidity and mortality outcomes were not available. One RCT and 1 nonrandomized study of supplemental ultrasound screening reported additional false positives and no differences in interval cancers.

Conclusions and Relevance:

Evidence comparing the effectiveness of different breast cancer screening strategies is inconclusive because key studies have not yet been completed and few studies have reported the stage shift or mortality outcomes necessary to assess relative benefits.


Breast cancer is the second leading cause of cancer mortality for US women, despite a steady overall decline in breast-cancer mortality rates over the past 20 years.1 The average age-adjusted rate for the years 2016–2020 was 19.6 per 100,000, with an estimated 43,170 deaths in 2023.2,1 The majority of cases occur between the ages of 55 and 74 years,1 and incidence is highest among women ages 70 to 74 (468.2 per 100,000).3 Non-Hispanic White women have the highest breast cancer incidence,4 but mortality is 40% higher for non-Hispanic Black women (27.6 per 100,000) compared with White women (19.7 per 100,000); non-Hispanic Black women experience lower 5-year survival regardless of the cancer subtype or stage at the time of detection. 1,5–7

Previous reviews of breast cancer screening effectiveness established the benefits and harms of mammography based primarily on large, long-term trials.8,9 In 2016, the USPSTF recommended screening for breast cancer in women starting at age 50 years every two years continuing through age 74 years (B recommendation), and that screening from ages of 40 to 49 years should be based on clinical discussions of patient preferences and individual breast cancer risk (C recommendation).10 This comparative effectiveness systematic review of breast cancer screening strategies was conducted concurrently with a separate decision modeling study [citation not yet available]. Both informed the United Preventive Services Task Force (USPSTF) updated breast cancer screening recommendations [citation not yet available].

METHODS

Scope of Review

This review addressed 3 key questions (KQs) on the comparative effectiveness and harms of different screening strategies (Figure 1). Methodological details including study selection, a list of excluded studies, detailed study-level results for all outcomes and for specific subpopulations, and contextual observations are available in the full evidence report [Insert full URL once known].

Figure 1.

Figure 1.

Analytic Framework: Screening for Breast Cancer:

Evidence reviews for the USPSTF use an analytic framework to visually display the key questions that the review will address in order to allow the USPSTF to evaluate the effectiveness and safety of a preventative service. The questions are depicted by linkages that relate interventions and outcomes. A dashed line indicates a health outcome that immediately follows an intermediate outcome. For additional details see the US Preventive Services Task Force ProcedureManual.13

Data Sources and Searches

Studies included in the 2016 USPSTF reviews8,9,11,12 were evaluated for inclusion with eligibility criteria for the current review. In addition, database searches for relevant studies published between January 2014 and August 22, 2022 were conducted in MEDLINE, the Cochrane Central Register of Controlled Clinical Trials, and the Cochrane Database of Systematic Reviews (eMethods). Reference lists of other systematic reviews were searched to identify additional relevant studies. ClinicalTrials.gov was searched for relevant ongoing trials. Ongoing surveillance to identify newly published studies was conducted through August 2023 to identify major studies published in the interim . Two new nonrandomized studies were identified13,14 and are not further discussed, as they would not change interpretation of the review findings or conclusions.

Study Selection

Two independent reviewers screened titles, abstracts, and relevant full-text articles to ensure consistency with a priori inclusion and exclusion criteria (eTable 1). We included English-language studies of asymptomatic screening populations not at high risk for breast cancer. Included studies compared mammography screening modalities (mammography with or without DBT), different screening strategies with respect to interval, age to start, age to stop, or supplemental screening strategies using ultrasound or magnetic resonance imaging (MRI) with mammography.

For KQ1, randomized clinical trials (RCTs) or nonrandomized studies of interventions with contemporaneous comparison groups that reported breast cancer morbidity, mortality, all-cause mortality, or quality of life were included. For KQ2, the primary outcome of interest was progression to advanced breast cancer, defined for this review as stage IIB or higher, which encompasses tumors with local lymph node involvement or distant metastases.15 Study defined advanced breast cancer outcomes were used when this outcome was not reported (E.g., stage II or higher). Invasive breast cancer detection outcomes from multiple screening rounds can indicate whether a screening modality or strategy reduces the risk of advanced cancer by detecting early cancers that would otherwise have progressed (stage shift), reducing breast cancer morbidity and mortality.16–19

For KQ3, RCTs and nonrandomized studies of interventions reporting adverse events, including psychological harms, radiation exposure, and false-negative invasive cancer (missed at screening) were included regardless of the number of screening rounds reported. False-positive recall, false positive biopsy recommendation, and false positive biopsy rates (individuals who underwent a biopsy for a benign lesion) were obtained from included RCTs and from nonrandomized studies reporting cumulative rates of these potential harms of screening.

Data Extraction and Quality Assessment

Two reviewers evaluated all articles that met inclusion criteria using prespecified quality criteria (eTable 2). Discordant quality ratings were resolved through discussion and input from a third reviewer. Risk of bias assessment was conducted using the USPSTF-specific criteria for randomized trials 20 and an adapted tool from the Risk of Bias in Non-randomized Studies of Interventions (ROBIN-I).21 Studies determined to be at high risk of bias were excluded. One reviewer extracted key elements of included studies into standardized evidence tables in DistillerSR (Evidence Partners, Ottawa, Canada) and a second reviewer checked the data for accuracy. Limited evidence on sub-KQs is available in the full report. When available, reported relative risks were provided in the tables, but we calculated and reported crude effect estimates and confidence intervals when studies did not provide them. For KQ2 intermediate detection outcomes, the definition of advanced cancer reported in the studies was used for synthesis; commonly this was stage II or later. Comparisons of prognostic characteristics or markers (e.g., grade, tumor size, nodal involvement, receptor status) were included for comparisons as data allowed.

All quantitative analyses were conducted in Stata version 16 (StataCorp LP, College Station, TX). The presence of statistical heterogeneity was assessed among pooled studies using the I2 statistic. Where effects were sufficiently consistent and clinical and statistical heterogeneity low, random-effects meta-analyses were conducted using the restricted maximum likelihood (REML); all tests were 2-sided with a P value less than .05 indicating statistical significance.

Aggregate strength of evidence (i.e., high, moderate, or low) was assessed for each KQ and comparison using the approach described in the Methods Guide for the Effectiveness and Comparative Effectiveness Reviews,22 based on consistency, precision, publication bias, and study quality.

RESULTS

Investigators reviewed 10,378 unique citations and 419 full text articles for all KQs (Figure 2). Twenty studies reported in 45 publications were included.23–42 A full list of included studies by key question is located in the Supplement (eTable 3).

Figure 2.

Figure 2.

Literature Search Flow Diagram: Screening for Breast Cancer

Reasons for exclusion: Design: Study did not use an included design. Outcomes: Study did not have relevant outcomes or had incomplete outcomes. Comparator: Study used an excluded comparator. Intervention: Study used an excluded intervention/screening approach. Population: Study was not conducted in an average-risk population. Timing: Study only reported first (prevalence) round screening follow-up. Publication type: Study was published in non–English-language or only available in an abstract. Quality: Study did not meet criteria for fair or good quality. Setting: Study was not conducted in a setting relevant to US practice. KQ indicates key question.

Health Benefits of Screening

Key Question 1.

What is the comparative effectiveness of different mammography-based breast cancer screening strategies (e.g., by modality, interval, initiation and stopping age, use of supplemental imaging, or personalization based on risk factors) on breast cancer morbidity and mortality?

Two nonrandomized studies reported on the association of different screening programs with breast cancer morbidity and mortality. One study was designed to compare different ages to stop screening27 and another compared annual and triennial screening intervals.38

A fair-quality observational study (N=1,058,013) on age to stop screening used an emulated trial methodology to analyze a random sample of U.S. Medicare A and B claims data for enrollees ages 70 to 84 years (1999 to 2008), eligible for breast cancer screening, and with at least a 10-year estimated life expectancy. The study estimated the effect of stopping screening at ages 70, 75, and 80 compared with continued annual screening.27,43 Continuation of screening between the ages of 70 and 74 was associated with reduced mortality risk based on survival analysis (HR 0.78 [95% CI 0.63 to 0.95]), but the absolute difference in the risk of death for the age group was small and the confidence interval included null (1.0 fewer deaths per 1000 screened [95% CI, −2.3 to 0.1]). These results indicate a difference in the cumulative incidence curves that approached a difference in the mortality risk for the age group. Conversely, continued screening versus no screening from ages 75 to 84 did not result in statistically significant differences in the absolute risk of breast cancer mortality (0.07 fewer deaths per 1,000 [95% CI –0.93 to 1.3]) or the cumulative mortality incidence (HR 1.00 [95% CI 0.83 to 1.19]).

A fair-quality nonrandomized clinical study (N=14,765) conducted in Finland during the years 1985 to 1995 assigned participants 40 to 49 years of age to annual or triennial screening invitations by alternating birth year.38 The study reported no difference in breast cancer mortality; 20.3 deaths per 100,000 person-years with annual screening invitations and 17.9 deaths per 100,000 person-years with triennial screening invitations (RR 1.14, [95% CI 0.59–1.27]).

Prevention of Cancer Progression (Intermediate Outcome)

Key Question 2.

What is the comparative effectiveness of different mammography-based breast cancer screening strategies (e.g., by modality, interval, initiation and stopping age, use of supplemental imaging, or personalization based on risk factors) on the incidence of and progression to advanced breast cancer?

No eligible studies of age to start or stop screening, supplemental screening, or personalized screening were included, because no RCTs or nonrandomized studies reported more than a single round of screening comparing screening strategies. For screening interval, 1 RCT23 and 1 nonrandomized study38, and for comparisons of different screening modalities (DBT vs DM) 3 RCTs24,30,39 and 2 nonrandomized studies31,41 met eligibility criteria.

Screening Interval

Two fair-quality studies addressed the effect of screening interval on the characteristics of detected cancers. A fair-quality United Kingdom Co-ordinating Committee on Cancer Research (UKCCCR) RCT comparing screening intervals was conducted as part of the UK National Breast Screening Program. The study randomized participants ages 50 to 62 to annual (N= 37,530) or triennial (N=38,492) breast cancer screening during the years 1989 to 1996.23 After 3 years of screening (1 incidence screen in the triennial arm) a similar number of cancers (screen-detected and interval) had been diagnosed in the annual and triennial screening arms (6.26 and 5.40 per 1000 screened, respectively; RR 1.16 [95% CI 0.96–1.40]). No statistically significant differences were found in the cancer characteristics (tumor size, nodal status, histological grade) between arms over the course of the study.

A fair-quality nonrandomized study using Breast Cancer Screening Consortium (BCSC) registry data (1996 to 2012)36 found the relative risk of being diagnosed with a breast cancer with less favorable prognostic characteristics (stage IIB+, tumor size >15 mm, or node-positive) was not statistically different for women screened biennially compared with those screened annually for any age category (40 to 49, 50 to 59, 60 to 69, 70 to 85).

Mammography modality

Three fair-quality RCTs24,30,39 reported cancer detection over 2 rounds of screening, comparing the effects of screening with digital breast tomosynthesis (DBT) and digital mammography (DM) on the presence of advanced cancer at subsequent screening rounds (Table 1). Participants were randomized to the DBT intervention arm or the DM control arm at a first round of screening, followed in 2 trials by a second round of screening with DM for all second-round participants (Proteus Donna24, RETomo39) and in 1 trial with DBT for all second-round participants (To-Be30). The trials used an identical screening modality for both study groups at the second round because using the same instrument is a stronger design for detection of stage shift.

Table 1.

Study Characteristics of Included Trials and Non-Randomized Studies of Digital Breast Tomosynthesis-based Screening Strategiesa

Author, Year Study/Trial Name Quality Country N Screened (Round 1) Brief population description Study Years Screening Intervention Screening Control
Randomized Controlled Trials
Armaroli, 202224
Proteus Donna
Fair
Italy 73,866 Women aged 46 to 68 years attending a population-based screening program 2004 to 2017 Round 1: DBT/DM
Round 2: DM
DM
Heindel, 202228
TOSYMA
Good
Germany 99,634 Women aged 50–69 years attending a population-based screening program 2018 to 2020 DBT/sDM DM
Pattacini, 202239
RETomo
Good
Italy 26,877 Women aged 45 to 69 years attending screening in 1 of 3 clinics equipped with DBT who had already participated in at least 1 round of the Reggio Emilia screening program 2014 to 2017 Round 1: DBT/DM
Round 2: DM
Annual DM (age 45–49), biennial DM (age 50–69)
Hofvind, 202130
To-Be
Good
Norway 28,749 Women aged 50–69 years attending a population-based screening program 2016 to 2020 DBT/sDM Round 1: DM
Round 2: DBT/sDM
Non-Randomized Studies
Sprague, 2023
BCSC-202341
Fair
US 504,863 Women aged 40 to 79 years with no personal history of breast cancer or mastectomy who had a previous mammogram within the past 30 months 2011 to 2020 DBT DM
Ho, 202229
BCSC-2022a
Fair
US 903,495 Women aged 40 to 79 years 2005 to 2018 DBT DM
Kerlikowske, 202233
BCSC-2022b
Fair
US 504,427 Women aged 40 to 79 years with no history of breast cancer or mastectomy who had a screening mammogram and/or DBT 2011 to 2018 DBT DM
Johnson, 202132
MBTST
Fair
Sweden 40,107 Women enrolled in a breast cancer screening trial and population-based match controls 2010 to 2015 DBT/DM DM
Richman, 202140
Fair
US 4,580,698 Women aged 40–64 years with at least 1 screening mammogram between January 1, 2015, and December 31, 2017 2015 to 2017 DBT/DM DM
Hovda, 202031
OVVV
Fair
Norway 92,404 Women aged 50 to 69 years participating in population-based screening program 2014 to 2017 Round 1: DBT/DM
Round 2: DM
DM
Conant, 201625
PROSPR
Fair
US 103,401 Women aged 40 to 74 years attending screening at academic medical centers participating in screening consortium 2011 to 2014 DBT/DM DM

Abbreviations: BCSC=Breast Cancer Surveillance Consortium; DBT=Digital breast tomosynthesis; DM=Digital mammography; MBTST=Malmo Breast Tomosynthesis Screening Trial; MRI=magnetic resonance imaging; N=sample size; RETomo=Reggio Emilia Tomosynthesis Trial; sDM=synthetic mammography; PROSPR=Population-based Research Optimizing Screening through Personalized Regimens; To-Be=Tomosynthesis Trial in Bergen; TOSYMA=TOmosynthesis plus SYnthesized MAmmography study; OVVV=Oslo-Vestfold-Vestre Viken

a

DBT-based screening strategies involve use DBT in addition to DM, which can be either a separate 2D digital mammography (DM) scan or a 2D image constructed from the DBT scan (sDM). Studies did not consistency specify what type of 2D image was received.

The RCTs reported increased detection of invasive cancer with DBT at the first round of screening (pooled RR 1.41 [95% CI 1.20 to 1.64] I2 7.6%, k=3, n = 129,492) and no statistical difference in invasive cancer at the subsequent screening (pooled RR 0.87 [95% 0.73 to 1.05] I2 0%, k=3, n = 105,064) (eFigure 1).24,30,39 There was no statistically significant difference in the incidence of advanced cancers at the subsequent screening round (progression of cancers not found at prior screening that would indicate stage shift) in the individual trials or for outcomes pooled in meta-analysis (Figure 3a-d). Results were inconsistent and thus not pooled for the advanced cancer, larger tumor (>20mm), and node positive cancer outcomes. The results for histologic grade 3 cancer at the second screening were consistent (pooled RR 0.97 [95% CI 0.61–1.55], I2 0%, k=3, n = 105,244) (Figure 3c). Due to the small number of cases, it was not possible to assess differences in the detection of cancers lacking hormone or growth factor receptors (I.e., triple-negative) that have the worst prognosis among breast cancer subtypes. .

Figure 3.

Figure 3.

Proportion of Screen-Detected Invasive Cancers Diagnosed (Advanced Stage [II or Higher], Tumor Size >20mm, Tumor Grade 3, Node-Positive Cancer) With Digital Breast Tomosynthesis vs Digital Mammography

DBT indicates digital breast tomosynthesis; DM, digital mammography; and RR, relative risk.

aFrom random-effects restricted maximum likelihood model.

Two fair-quality non-randomized studies of interventions (NRSIs), including a US study using BCSC data, compared breast cancer detection outcomes from screening over multiple rounds (≥2) with either DBT-based mammography or DM alone.31,41 The findings were generally consistent with the trial results for cancer detection and stage shift.

Harms of Screening

Key Question 3.

What are the comparative harms of different mammography-based breast cancer screening strategies (modality, interval, initiation age, use of supplemental imaging, or personalization based on risk factors)?

No eligible studies of age to start screening or personalized screening were identified. For age to stop screening, 1 fair quality nonrandomized study met eligibility criteria.27 For comparisons of potential harms associated with different screening intervals, a fair-quality RCT23 and 2 fair-quality nonrandomized studies36,38 were included. For comparisons of different screening modalities (DBT versus DM), 4 RCTs (3 good- and 1 fair-quality)24,28,30,39 and 7 fair-quality nonrandomized studies were included.25,29,31–33,40,41

Age to stop screening

In the NRSI using an emulated trial methodology to evaluate the age to stop screening,27 the 8-year cumulative proportion of participants with a breast cancer diagnosis was higher among those who continued annual screening from ages 70 to 84 (5.5%) compared with those who discontinued screening (3.9%) at age 70. Because fewer cancers were diagnosed among those who discontinued screening, there was a lower risk of undergoing cancer treatment and experiencing related morbidity. Notably, for participants ages 75 to 84, screening (and treatment) did not have an effect on breast cancer mortality (see KQ1 results).

Screening interval

The UKCCCR trial included for KQ223 reported fewer interval cancers (false negative and incident cancers) diagnosed in the annual invitation group compared with triennial screening (1.84 versus 2.70 per 1,000 women screened, respectively, RR 0.68 [95% CI 0.50 to 0.92]). The nonrandomized clinical trial conducted in Finland included for KQ138 also reported interval cancers diagnosed with annual versus triennial screening and found no statistical difference in incidence (p = 0.22, data not reported). Data from 2 studies from the BCSC registry reported higher probabilities of false positive recalls and biopsy recommendations with annual screening compared with biennial screening and no statistical difference in interval cancers in adjusted analyses.36,41,29

Mammography modality

Four RCTs (3 good-quality, 1 fair-quality)24,28,30,39 and 7 fair-quality nonrandomized studies25,29,31–33,40,41 reported outcomes related to potential screening harms associated with DBT-based screening compared with DM only screening, including interval cancer rates, round specific and cumulative false-positive recalls and biopsies, and radiation exposure. Meta-analysis of 3 large trials did not show a statistically significant difference in rates of interval cancer after screening with DBT compared with DM (pooled RR 0.87, 95% CI 0.64 to 1.17, k = 3, n = 130,196, I2 0%) (eFigure 2).24,30,39

Data on interval cancers were also obtained from 7 nonrandomized studies.25,29,31–33,40,41 The most recent BCSC analysis, reporting interval cancer rates across multiple screening rounds with either DBT or DM, did not identify statistically significant differences in invasive or advanced interval cancers.41

The effects of DBT screening on false-positive recall and false-positive biopsy rates varied across studies 24,30,39 and by screening round, with small or no statistical differences between study groups, not consistently favoring DBT-based mammography or DM.

Evidence from 2 nonrandomized BCSC studies provided false-positive results across several screening rounds.29,41 In 1 study, rates of false positive recall and false positive biopsy rates were lower with DBT in initial screening rounds, but differences were attenuated and not statistically significant compared with DM only after additional rounds of screening (Table 2).41 The other study reported no statistical difference in 10-year cumulative false positive biopsy recommendation rates between biennial DBT and DM screening, but false-positive recall was slightly lower with DBT (eFigures 3 and 4); no differences by modality were identified for individuals with extremely dense breasts in stratified analyses (eFigure 5).29

Table 2.

Harms Reported in Studies Comparing Digital Breast Tomosynthesis-based Screening Strategiesa and Digital Mammography

Source Study Design Followup Round Modality (previous round modality) n/N (rate per 1000 screened) Effect (95% CI)
Recalled for further assessment
Proteus Donnab
Armaroli, 202224
RCT 1 DBT/DM 1995/30844 (63.4) RR: 1.24 (95% CI, 1.17 to 1.32)
DM 2191/43022 (50.9)
2 DM (DBT/DM) 1000/23760 (42.1) RR: 0.97 (95% CI, 0.89 to 1.05)
DM 1456/33534 (43.4)
RETomoc
Pattacini, 202239
RCT 1 DBT/DM 511/13356 (38.3) RR: 0.99 (95% CI, 0.88 to 1.10)
DM 522/13521 (38.6)
2 DM (DBT/DM) 464/12733 (36.4) RR: 0.93 (95% CI, 0.82 to 1.10)
DM 506/12911 (39.2)
To-Bec
Hofvind, 202130
RCT 1 DBT/sDM 444/14380 (30.9) RR: 0.78 (95% CI, 0.69 to 0.88)d
DM 571/14369 (39.7)
2 DBT/sDM 440/11201 (39.3) RR: 0.99 (95% CI, 0.87 to 1.13)d
DBT/sDM (DM) 441/11105 (39.7)
OVVVc
Hovda, 202031
NRSI 1 DBT/sDM 1253/37185 (33.7) RR: 1.02 (95% CI, 0.95 to 1.09)d
DM 2037/61742 (33.0)
2 DM (DBT/sDM) 621/26474 (23.5) RR: 0.76 (95% CI, 0.69 to 0.83)d
DM 1408/45543 (30.9)
Sprague, 202341
BCSC, 2023
NRSI 1 DBT NR (75) Proportion difference: −33 (95% CI, −46 to –21)
DM NR (109)
2 DBT NR (69) Proportion difference: −18 (95% CI, −29 to –7)
DM NR (86)
≥3 DBT NR (61) Proportion difference: −12 (95% CI, −24 to –1)
DM NR (73)
Percutaneous needle biopsy
RETomoc
Pattacini, 202239
RCT 1 DBT/DM 159/13356 (11.9) RR: 1.50 (95% CI, 1.10 to 1.90)
DM 110/13521 (8.1)
2 DM (DBT/DM) 78/12733 (6.1) RR: 0.76 (95% CI, 0.57 to 1.00)
DM 104/12911 (8.1)
Biopsy (undefined)
To-Bec
Hofvind, 202130
RCT 1 DBT/sDM 252/14380 (17.5) RR: 0.93 (95% CI, 0.78 to 1.10)d
DM 271/14369 (18.9)
2 DBT/sDM 248/11201 (22.1) RR: 0.95 (95% CI, 0.80 to 1.13)d
DBT/sDM (DM) 258/11105 (23.2)
Sprague, 202341
BCSC, 2023
NSRI 1 DBT NR (15) Proportion difference: −3 (95% CI, −5 to –1)
DM NR (18)
2 DBT NR (13) Proportion difference: 0 (95% CI, −3 to 2)
DM NR (14)
≥3 DBT NR (12) Proportion difference: 0 (95% CI, −2 to 3)
DM NR (13)
Surgical referrals
Proteus Donnab
Armaroli, 202224
RCT 1 DBT/DM 305/30844 (9.9) RR: 1.54 (95% CI, 1.31 to 1.82)d
DM 276/43022 (6.4)
2 DM (DBT/DM) 103/23760 (4.3) RR: 0.76 (95% CI, 0.59 to 0.97)d
DM 191/33534 (5.7)
Surgical procedures (including open biopsy)
RETomoc
Pattacini, 202239
RCT 1 DBT/DM 116/13356 (8.7) RR: 1.70 (95% CI, 1.30 to 2.30)
DM 68/13521 (5.0)
2 DM (DBT/DM) 68/12733 (5.3) RR: 0.83 (95% CI, 0.60 to 1.10)
DM 83/12911 (6.4)
False positive recall e
Proteus Donnab
Armaroli, 202224
RCT 1 DBT/DM 1699/30844 (55.1) RR: 1.22 (95% CI, 1.14 to 1.30)d
DM 1943/43022 (45.2)
2 DM (DBT/DM) 900/23760 (37.9) RR: 0.99 (95% CI, 0.91 to 1.08)d
DM 1286/33534 (38.3)
RETomoc
Pattacini, 202239
RCT 1 DBT/DM 410/13356 (30.7) RR: 0.90 (95% CI, 0.79 to 1.00)d
DM 461/13521 (34.1)
2 DM (DBT/DM) 403/12733 (31.7) RR: 0.95 (95% CI, 0.83 to 1.09)d
DM 430/12911 (33.3)
To-Bec
Hofvind, 202130
RCT 1 DBT/sDM 349/14380 (24.3) RR: 0.72 (95% CI, 0.63 to 0.83)d
DM 484/14369 (33.7)
2 DBT/sDM 349/11201 (31.2) RR:1.02 (95% CI, 0.88 to 1.18)d
DBT/sDM (DM) 340/11105 (30.6)
Sprague, 202341
BCSC, 2023
NSRI 1 DBT NR (66) Proportion difference: −34 (95% CI, −47 to –22)
DM NR (101)
2 DBT NR (60) Proportion difference: −18 (95% CI, −30 to −7)
DM NR (78)
≥3 DBT NR (55) Proportion difference: −11 (95% CI, −23 to 2)
DM NR (66)
OVVVc
Hovda, 202031
NRSI 1 DBT/sDM 905/37185 (24.3) RR: 0.91 (95% CI, 0.84 to 0.98)d
DM 1658/61742 (26.9)
2 DM (DBT/sDM) 518/26474 (19.6) RR: 0.77 (95% CI, 0.70 to 0.86)d
DM 1154/45543 (25.3)
False positive biopsy f
To-Bec
Hofvind, 202130
RCT 1 DBT/sDM 157/14380 (10.9) RR: 0.85 (95% CI, 0.69 to 1.05)d
DM 184/14369 (12.8)
2 DBT/sDM 157/11201 (14.0) RR: 0.99 (95% CI: 0.80 to 1.24)d
157/11105 (14.1)
Sprague, 202341
BCSC, 2023
NRSI 1 DBT NR (10) Proportion difference: −3 (95% CI, −5 to −2)
DM NR (13)
2 DBT NR (8) Proportion difference: −2 (95% CI, −4 to 0)
DM NR (10)
≥3 DBT NR (8) Proportion difference: −1 (95% CI, −3 to 1)
DM NR (8)

Abbreviations: CI, confidence interval; DBT, Digital Breast Tomosynthesis; DM, Digital mammography; NRSI, nonrandomized study of intervention; RCT, randomized controlled trial; RETomo, Reggio Emilia Tomosynthesis Trial; RR, relative risk; sDM, synthetic 2-view mammography; To-Be, Tomosynthesis Trial in Bergen; OVVV=Oslo-Vestfold-Vestre Viken

a

DBT-based screening strategies involve use DBT in addition to DM, which can be either a separate 2D digital mammography (DM) scan or a 2D image constructed from the DBT scan (sDM). Studies did not consistency specify what type of 2D image was received.

b

Recalled for an assessment after double reading based on positive or suspicious screening result by either radiologist (without consensus or arbitration)

c

Recalled for an assessment (after double reading and arbitration) based on positive or suspicious screening results.

d

Relative risk calculated from Ns.

e

Recalled for assessment without a finding of invasive cancer or DCIS

f

Underwent biopsy without a finding of invasive cancer or DCIS

Four RCTs24 28 39 30 and 1 NRSI32 reported the mean, median, or relative radiation dose received in each study arm at a single screening round. The three studies using DBT/DM screening reported radiation exposure approximately two times higher in the intervention group compared with the DM only group.24,32,39 Differences between study groups in radiation exposure were smaller in studies using DBT with synthetic DM.44 30

Supplemental screening

The Dense Tissue and Early Breast Neoplasm Screening (DENSE) trial, a good-quality RCT conducted in the Netherlands, randomized (1:4) participants ages 50 to 75 with extremely dense breasts and negative mammography (2011 – 2015) (N = 40,373) to an invitation or no invitation for supplemental MRI screening.42 (The RCT was not included for KQ2 because second round results in the control group were unavailable). Fifty-nine percent of those randomized to the invitation underwent an MRI examination (n = 4,783). In intention-to-treat analysis, 2.2 per 1,000 experienced interval breast cancer diagnoses in the supplemental screening invitation group compared with 4.7 per 1,000 screened in the DM control group (RR 0.47, 95% CI 0.29 to 0.77). Adverse events related to the supplemental MRI screening reported in the trial included 5 classified as serious adverse events (2 vasovagal reactions and 3 allergic reactions to the contrast agent) and 2 reports of extravasation (leaking) of the contrast agents and 1 shoulder subluxation. Twenty-seven participants (0.6% of MRI arm) reported a serious adverse event within 30 days of the MRI. Those who underwent supplemental MRI screening also experienced additional recalls (94.9 per 1,000 screened), false-positive recalls (80.0 per 1,000 screened), and biopsies (62.7 per 1000 screened).

A fair-quality nonrandomized study used claims data from commercially insured women (MarketScan database) ages 40 to 64 years who had received at least 1 bilateral screening breast MRI (n = 9,208) or mammogram (n = 9,208) between January 2017 and June 2018.26 Following propensity score matching, those undergoing screening with MRI were more likely to have additional health care cascade events such as office visits and followup tests unrelated to breast conditions (adjusted difference between groups 19.6 per 100 screened [95% CI 8.6 – 30.7]) in the subsequent 6 months.

A fair-quality RCT, the Japan Strategic Anti-cancer Randomized Trial, randomly assigned asymptomatic women ages 40 to 49 years (2007–2011) to breast cancer screening with mammography plus handheld ultrasound (DM/US) (n = 36,859) or mammography only (DM) (n = 36,139).37 The relative risk of invasive interval cancer was not statistically significantly different for ultrasound with DM versus DM only (RR: 0.58, 95% CI 0.31 to 1.08). This result differs from the statistically significant population-average effect reported in the study (p=0.034) which included interval DCIS (Proportion difference: −0.05%, 95% CI −0.09 to 0). Those undergoing ultrasound in addition to DM experienced 48.0 per 1,000 additional false-positive recall results compared with those assigned to DM screening only.

A fair-quality nonrandomized study using data from 2 BCSC registry sites compared screening outcomes for participants receiving ultrasonography on the same day as a screening mammogram (DM/US) (n = 3,386, contributing 6081 screens) compared with those that received only a mammogram (DM) (n = 15,176, contributing 30,062 screens).34 However, 31% of participants had a first-degree family history of breast cancer or previous breast biopsy. There was no statistical difference in interval cancer risk (aRR 0.67, 95% CI 0.33 to 1.37) and rates of false-positive biopsy were twice as high for the mammography-ultrasound group (aRR 2.23, 95% CI 1.03 to 2.58).

DISCUSSION

Prior screening effectiveness reviews based on large trials initiated in previous decades established a statistically significant mortality benefit for mammography screening of women ages 50 to 69.8,9,11 The current review considered comparative effectiveness questions on the relative benefits and harms of different screening start and stop ages, intervals, and modalities for women at average breast cancer risk. Findings are summarized in Table 3.

Table 3.

Summary of Evidence for Breast Cancer Screeninga

Screening strategy No. of studies and study design (total sample size) by screening strategy Summary of findings by screening strategy or outcome Consistency and precision Other limitations Overall strength of evidence Applicability
KQ 1: Morbidity and Mortality
Age to start or stop screening Age to start: 0

Age to stop: 1 NRSI
(n = 1,058,013)
Age to start: NA

Age to stop: Screening from age 70 to 74: 8-year risk of breast cancer mortality was 1 fewer death per 1,000 women who continued screening (RD, −1.0 [95% CI: −2.3 to 0.1]). Adjusted hazard ratio suggested a 22% lower hazard of 8-year breast cancer mortality with continued screening (aHR, 0.78 [95% CI: 0.63 to 0.95])

Screening beyond age 74: No difference in 8-year estimated risk in breast cancer mortality (RD, 0.07 [95% CI, −0.93 to 1.3]; aHR, 1.00 [95% CI: 0.83 to 1.19]) with continued screening.
Age to start: NA


Age to stop:
NA (for consistency)

Imprecise
Advanced statistical methods to emulate per protocol trial; differences in estimates of effects depending on adjustments used. Risk of bias from unmeasured confounding and selection. Insufficient US Medicare A, B enrollees ages 70 to 84 in the years 1999 to 2008 with high probability of living >10 years; Population over 90% White non-Hispanic
Screening interval Annual vs. Triennial:
1 NSRI (n = 14,765)

Annual vs. Biennial: 0
Annual vs. triennial: No difference in breast cancer mortality (RR, 1.14, [95% CI: 0.59 to 1.27]) or all-cause mortality (RR, 1.20 [95% CI 0.99 to 1.46]) at 13 years.

Annual vs. biennial: NA
Annual vs Triennial:
NA (for consistency)
Imprecise

Annual vs. biennial: NA
Assignment based on birth year, limited information baseline characteristics, potential risk of bias due to unmeasured confounding and selection. Insufficient Invitation to annual or triennial film mammography for ages 40 to 49 in Finnish national screening program; treatment advances since the study conducted (1985–1995). No reporting of participant characteristics.
KQ2: Incidence and Progression to Advanced Cancer
Screening Interval
Annual vs. Triennial:
1 RCT (n = 76,022)



Annual vs. Biennial: 1 NRSI (n = 15,440)
Annual vs. Triennial: More invasive cancers screen-detected over 3 years with annual screening screen (RR, 1.64 [95% CI: 1.28 to 2.09]) Total number of invasive cancers similar (RR, 1.16 [95% CI 0.96 to 1.40]); no statistical differences by screening interval in tumor size, nodal status, grade, or prognostic index for all cancers diagnosed.

Annual vs. Biennial: No difference in risk of stage IIB+ or less favorable prognosis cancers diagnosed after a biennial compared with annual interval for any age group.
Annual vs. Triennial:
NA (for consistency)
Imprecise

Annual vs. Biennial: NA (for consistency)
Imprecise
Annual vs. Triennial: Birth month used to assign intervention group first 2 years of trial, which could introduce bias, no reporting of participant characteristics. Study never reported mortality outcome as planned.

Annual vs. Biennial: Risk of bias due to limited adjustment for confounding and potential unmeasured confounding and selection into study groups.
Annual vs. Triennial:
Low for greater detection of invasive cancer and no difference in tumor characteristics with annual screening

Annual vs biennial: Insufficient
Annual vs. Triennial: People ages 50 to 62 screened in UK screening program 1989 to 1996; changes in population health, cancer treatment, screening modalities. No reporting of participant characteristics.

Annual vs. Biennial: Conducted using BCSC data linked with US SEER and other tumor registry sources; Ages 40 to 85; >77% population White non-Hispanic
DBT vs DM
3 RCTs (n = 130,196)
2 NRSI (n = 597,267)
3 RCTs reported higher invasive cancer detection in first screening round with DBT (pooled RR 1.41, 95% CI 1.20 to 1.64, I2 8%, k = 3, n = 129,492) with absolute differences in the trials ranging from 0.6 to 2.4 additional cancers per 1000 screened. No detection difference was seen at round 2 (pooled RR 0.87, 95% CI 0.73 to 1.05, I2 0%, k = 3, n = 105,064).

2 NRSI also reported higher invasive cancer detection rates with DBT screening.

3 RCTs and 1 NRSI reported advanced cancer detection (stage ≥ II) after the first screening round. There were no statistical differences in the individual trials or the NRSI.3 RCTs and 2 NRSI reported tumor characteristics that inform staging (tumor diameter, histologic grade, or node status). No statistically significant differences in these or other individual tumor prognostic characteristics were reported at the first or second round of screening for any of the included studies; statistical power was limited for comparisons of less common tumor types.
Detection of invasive cancer:
Consistent
Precise

Stage Shift:
Consistent,
Imprecise
At round 2 screening, 2 RCTs used DM for both arms and 1 RCT used DBT for both arms.
The fair-quality RCT did not describe randomization procedures and balance in baseline characteristics could not be assessed due to limited reporting.

2 NRSI provided generally consistent evidence but with higher risk of bias.
Moderate for increased detection with DBT

Low for absence of stage shift after the first screening round.
All trials conducted in European countries with national organized screening programs (Italy, Sweden) that use independent dual reading and consensus procedures different from US practice.

Some studies used DBT paired with DM and some used DBT paired with sDM. Prior readings were generally available.

All studies had limited reporting of participant characteristics with no data on racial and/or ethnic characteristics.
KQ3: Harms of Screening
Age to start or stop screening
Age to start: 0

Age to stop: 1 NRSI (n = 1,058,013)
Fewer cancers diagnosed in stop screening strategy; possible overdiagnosis with continued screening. Cancers diagnosed in stop screening strategy more likely to receive aggressive treatments (radical mastectomy and chemotherapy versus lumpectomy and radiotherapy) Age to start: NA

Age to stop:
NA (for consistency)
Imprecise
Advanced statistical methods to emulate per protocol trial; differences in estimates of effects depending on adjustments used.
Risk of bias from unmeasured confounding and selection.
Insufficient US Medicare A, B enrollees ages 70 to 84 in the years 1999 to 2008 with high probability of living >10 years; Population over 90% White non-Hispanic
Screening Interval Annual vs. Triennial:
1 RCT (n = 76,022)
1 NRSI (n = 14,765)

Annual vs. Biennial:
3 NRSI (n = 920,954)
Annual versus triennial:
Interval cancers: 1 RCT (n= 76,022) estimated 1 less invasive interval cancer per 1000 in the annual screening arm (1.8 vs 2.7 per 1,000 screened; RR: 0.68 [95% CI 0.50 to 0.92]). 1 NRSI (n = 14,765) using birth year to assign screening intervals found no difference in interval cancer incidence (p = 0.22).

False positives: NR

Annual vs biennial:
Interval cancers: 1 NRSI using BCSC data (n = 15,440) reported the unadjusted interval cancer proportion for people screened negative after an annual (22.2%) or biennial screening (27.2%) interval.

False positive recall and biopsy:
FP recall and biopsy higher with annual compared with biennial screening. 1 study using BCSC data (n = 903.495) reported that over 10-years of DBT screening approximately 50% of those undergoing annual screening had at least 1 false positive recall, compared with approximately 35% of those undergoing biennial screening; annual screening resulted in ~50 additional FP biopsies per 1,000 screened over 10 years (annual ~115 per 1,000 versus biennial ~66 per 1,000). 1 NRSI (n = 2,019) reported >2 times higher odds (OR 2.2, 95% CI 1.7 to 2.8) of a false positive result over a median of 8.9 years.
Annual vs triennial:
Interval cancer: Inconsistent, Precise
False positives:
NA

Annual vs. Biennial:
Interval cancer:
NA (for consistency)
Imprecise

False positives:
Consistent, Precise
Annual vs. Triennial: RCT did not use random allocation first 2 years of study (birth month) and NRSI assigned interval based on birth year (odd, even), lack of information on group baseline characteristics in both studies; potential risk of bias due to unmeasured confounding and selection.

Annual vs Biennial: NRSIs used EMR, registry, and self-report data; the largest study (n = 903,945) did not provide information participant characteristics; data on interval cancers is unadjusted for participant characteristics; risk of bias from potential selection and confounding bias, including time varying factors. BCSC NRSI with cumulative FP did not include prevalence screens, may underestimate cumulative FP from start of screening
Annual vs triennial: Low for a small difference interval cancer with annual screening; Insufficient for other harms

Annual vs. Biennial:
Insufficient for interval cancers; Moderate for higher recall, biopsy, and false positives with annual screening
Annual vs triennial: Both triennial screening interval studies conducted in Europe in 1990s; RCT women screened ages 50 to 62; NRSI among women screened ages 40 to 49. No information on participant characteristics other than age.

Annual vs biennial: screening studies conducted in US, 1 NRSI conducted in a single academic medical center that reported FP recall had majority Hispanic population (76%). BCSC data occurred in primarily non-Hispanic White participants (78%).
DBT vs. DM 4 RCTs (n = 229,830)
7 NRSI (n = 6,735,868b)
Interval cancers: 3 RCTs did not find difference in interval cancer rates (pooled RR = 0.87, 95% CI 0.64 to 1.17, k = 3 RCT, n = 130,196, I2 = 0%). 6 NRSI with varied study designs reported interval cancer rates; 4 reported results consistent with the trial evidence.

Recall and false positive recalls: 3 RCTs and 2 NRSI reported on recall rates and false positive recall rates from at least 2 rounds of screening. RCT evidence from 2 screening rounds and NRSI risk across 2 or more cumulative screening rounds suggested little or no difference in FP recall. 1 NRSI reporting cumulative probability of at least 1 false-positive recall over 10 years of screening estimated slightly lower FP recall with annual DBT (50% versus 56%) and similar rates with biennial screening (36% versus 38%). A second NRSI found lower rates of recall with DBT, especially with fewer screening rounds.

Biopsy and false positive biopsy: Two RCTs reported no difference in biopsy risk across 2 rounds of screening with 1 reporting higher risk with DBT in the first round; 1 RCT reported no difference in false positive biopsy. Two NRSI reported no difference in false positive biopsy risk over several screening rounds, with 1 reporting the cumulative probability of at least 1 false-positive biopsy over 10 years of screening finding no difference in cumulative FP biopsy for DBT v DM regardless of screening interval (11–12% annual, 7–8% biennial).

Over-detection: Three RCTs did not find differences in DCIS, screen-detected lesions that could contribute to over-detection, at round 1 (pooled RR 1.33, 95% CI 0.92 to 1.93, k = 3 RCT, n = 130,196, I2 = 0%) or round 2 (pooled RR 0.75, 95% CI 0.49 to 1.14, k = 3 RCT, n = 130,196, I2 = 0%)

Adverse events: 1 RCT (n = 99,634) reported the same number of adverse events for both screening tests (DBT/sDM vs DM) (n=6), all nonserious.

Radiation exposure: In 3 studies using DBT/DM the dose was ~2x mGy higher than DM; for 2 studies using DBT/sDM the dose was similar to DM only.
Interval cancer:
Consistent, Imprecise

Recall and false-positive recall:
Inconsistent, Precise

Biopsy and false-positive biopsy:
Inconsistent, Imprecise

Overdetection/ overtreatment: Consistent, Imprecise


Adverse events: NA (for consistency), Imprecise

Radiation: Consistent, Imprecise
None of the RCT maintained the same IG and CG modality both rounds; 2 screened all with DM and 1 all with DBT at the next screening.

NRSIs had substantial risk of bias, limited adjustment for potential confounding and selection.

Most NRSI included retrospective assessment screening from records; limited adjust for all factors that may contribute to DBT vs. DM screening, including time dependent factors.

1 NRSI age-matched trial participants with controls from general screening population lacked adjustment for any factor other than age.

NRSI with geographical comparator did not describe characteristics by study group, only minor statistical adjustment elevated selection and confounding risk of bias concerns.



Interval cancer: Moderate for no difference

Recall and false-positive recall: Low for lower with DBT

Biopsy and false positive biopsy: Low for no difference

Overdetection/overtreatment: Low for no difference

Adverse events: Insufficient

Radiation: Moderate for increased radiation with DBT/DM and no increased radiation with DBT/sDM
No US-based RCTs; European RCTs and NRSI based in organized screening programs and use independent dual mammography reading, consensus. Limited reporting on population characteristics, including no racial/ethnic data.

Of the 7 NRSI, 5 were conducted in the US and 1 each in Sweden and Norway. The US-based studies included data from the BCSC, medical administrative claims, and the multisite PROSPR study. Participants characteristics were only reported in 3 US studies with ~70% non-Hispanic White participants. The Swedish and Norwegian studies reported no baseline characteristics.

Supplemental screening with MRI 1 RCT (n = 40,373)
1 NRSI (n = 18,416)
Interval cancer: 1 RCT reported reduced invasive interval cancer with invitation to screening for those with extremely dense breasts and negative mammogram (2.2 versus 4.7 per 1,000 invited to screening, RR 0.47, 95% CI 0.29 to 0.77)

Adverse events: RCT reported 8 adverse events (5 serious) during or immediately after MRI - vasovagal reactions, allergic reactions to contrast agent, leaking of contrast agent (extravasation), shoulder subluxation.
Downstream consequences of supplemental imaging (including incidental findings): MRI resulted in additional recall (95 per 1,000 screened), FP recall (80 per 1,000) and biopsy (63 per 1,000 screened) that did not occur for the DM only group. RCT did not report on incidental findings from MRI. 1 NRSI reported no difference in new diagnoses unrelated to breast conditions. Events unrelated to breast diagnostic codes were higher in the MRI group (304.5 per 100) than in the mammography group (284.8 per 100), and the adjusted difference between groups (19.6 per 100, 95% CI 8.6 to 30.7) was mostly comprised of additional health care visits.
Interval cancer: NA (for consistency)
Precise


Adverse events: NA (for consistency), Imprecise

Downstream consequences: Consistent, Imprecise
In the trial, 59% invited to MRI screening attended; possible unmeasured differences between population invited to screening and those attending (e.g., breast cancer risk, concerns about FP and overdiagnosis). Screening outcomes in the control arm at round 2 not available, limiting interpretation of results.

The NRSI was based on US insurance claims with no clinical data to determine if followup was causally linked to breast screening.
Interval cancer: Low for reduced interval cancers with invitation to MRI


Adverse events: Insufficient


Downstream consequences: Low for increased followup
RCT conducted in The Netherlands through organized biennial breast screening program. Limited to women with extremely dense breasts identified using Volpara (category D).

Study randomized people with extremely dense breasts to MRI screening invitation – provides estimates of likely response and effects of invitation to MRI

No data on race or ethnicity for either study population. In the NRSI 50% of individuals had a family history of breast cancer or genetic susceptibility.
Supplemental screening with ultrasound 1 RCT (n = 72,717)
1 NRSI (n = 18,562)
Interval cancer: RCT of supplemental US did not find statistical difference in invasive interval cancer (0.4 (DM/US) versus 0.8 (DM) per 1,000 screened; RR 0.58, 95% CI 0.31 to 1.08) nor did NRSI using BCSC data (1.5 (DM/US) vs. 1.9 (DM) per 1,000 screened; aRR 0.67, 95% CI 0.33 to 1.37)

Downstream consequences of supplemental imaging (including incidental findings): The RCT reported recall attributable to positive findings only on US resulting in an additional 50 recalls per 1000 screened of which 48 were false positives. Incidental findings were not reported. A BCSC NRSI found that referral to biopsy and false positive biopsy were twice as high for those who underwent ultrasound.
Interval cancer: Consistent, Imprecise

Downstream consequences: Consistent, Imprecise
Interval cancers rare in young women enrolled in RCT (age 40–49), limited power to detect differences. Population-averaged GEE effect estimate for interval cancer reported in RCT including DCIS lesions (23% of CG interval tumors) was statistically significant; second round results not yet published

NRSI used propensity score matching to adjust for potential confounding by indication for screening; unmeasured confounding may still affect results. Ultrasound and mammography results not reported separately, therefore attribution of follow up specifically to US screening not possible.
Interval cancer: Low for no difference

Downstream consequences: Low for increased follow up with ultrasound
RCT conducted in Japan; included people ages 40 to 49; 23% of study population prevalence screened; 58% reported to have dense breasts, distribution not reported; US and DM results interpreted independently; performance could differ if considered together

BCSC NRSI included population representative of US overall; age included 30 to 80+ years; inadequate numbers for comparisons of effects by race and ethnicity (80% White, non-Hispanic); 31% had a first-degree family history of breast cancer.

Abbreviations: aHR=adjusted hazard ratio; DBT=digital breast tomosynthesis; DM=digital mammography; NRSI=non-randomized study of intervention; RD=risk difference

a

Comparisons with no included studies are not included in this Summary of Evidence Table. This includes DBT vs. DM (KQ1), age to start/stop screening (KQ2), supplemental screening with MRI (KQ1, KQ2), supplemental screening with ultrasound (KQ1, KQ2), and personalized screening (KQ1, KQ2, KQ3).

b

This N includes individuals who were likely included in more than 1 of the studies that analyzed screening populations obtaining care at sites involved in the US Breast Cancer Screening Consortium.

The evidence was insufficient for addressing the age to start or end screening. No eligible studies comparing different ages to start screening were identified. Limited evidence from 1 nonrandomized study, using an emulated trial study design, suggested that screening beyond age 74 may not be reduce breast cancer mortality.27

Evidence was also insufficient for evaluating the effect of screening intervals on breast cancer morbidity and mortality. Two nonrandomized studies found no difference in breast cancer outcomes.23,36 Moderate evidence supported longer screening intervals (e.g., biennial) to reduce the cumulative risk of false-positive recall and biopsy. The observational studies of different screening intervals compared individuals who self-selected or were referred for different screening intervals, contributing to risk of bias in the results.

Results from 3 RCTs24,30,39 and 2 nonrandomized studies31,41 provided moderate evidence that DBT-based mammography does not reduce the risk of invasive interval cancer or advanced cancer at subsequent screening rounds. Additional rounds of screening and longer followup are needed to fully evaluate whether DBT reduces breast cancer morbidity and mortality. Consistent with trial findings, a nonrandomized BCSC study did not find reduced risks of advanced or interval cancers with DBT.41 Limited evidence from trials on harms of screening with DBT24,30,39 indicated similar FP recall and biopsy rates. An observational BCSC study did not show differences in the 10-year cumulative false-positive biopsy rates;29 lower FP recall and biopsy with DBT screening were attenuated after several screening rounds.41 Additional research is needed to ascertain whether DBT-based screening would reduce false-positives over a lifetime of screening.

The evidence was not adequate to evaluate the benefits and harms of supplemental MRI screening for people with dense breasts. No eligible studies were identified that provide evidence on breast cancer morbidity or mortality outcomes with supplemental MRI screening compared with mammography alone among individuals with dense breasts. The DENSE trial42 reported fewer interval cancers with one round of supplemental MRI screening, but results from a second screening round are not yet published. Evidence of higher advanced cancer incidence in the mammography only group relative to the MRI group would be needed to anticipate effects on morbidity or mortality. Supplemental MRI led to additional false positive recalls and biopsies and uncommon but serious adverse events were observed.42 Two recent systematic reviews of the test performance literature reported higher cancer detection with supplemental MRI screening along with substantially increased recall and biopsy rates among individuals without cancer.45,46

Lack of a standardized and reliable assessment tool for measuring breast density and density variation across the lifespan pose challenges for research into the optimal screening strategy for persons with dense breasts.12 Research is also needed to evaluate personalized risk-based screening, based on breast cancer risk factors and personal screening preferences. The ongoing WISDOM trial and My Personalized Breast Screening study (expected completion in 2025) may help to address these research gaps.47,48

Breast cancer is an active area of research, yet few longitudinal RCTs comparing different screening strategies have been conducted following completion of the major trials that established the effectiveness of mammography for reducing breast cancer mortality for women ages 50 to 69 years. This review included 6 new randomized trials,24,28,30,37,39,42 4 comparing DBT with DM screening24,28,30,39 and 2 on supplemental screening compared with mammography alone.37,42 Three of these trials are ongoing28,37,42 and have reported preliminary results only. Observational studies were also included, but few studies were available that followed a screening population over time to compare the health outcomes associated with different screening approaches. These studies, while potentially more representative of a screening population, have higher risk of biased results due to confounding and selection.

Limitations

Changes in population health, imaging technologies, and available treatments may limit the applicability of previous studies. Recent trials included in this review were conducted outside of the United States and enrolled mostly White European populations. No studies evaluated screening outcomes for racial or ethnic groups in the US that experience health inequities and higher rates of breast cancer mortality. Black women are at highest risk of breast cancer mortality,49 with lower 5-year survival than all other race and ethnicity groups.7 Breast cancer mortality risk also increases at younger ages for Black women compared with White women.50 This review did not address additional factors beyond screening that contribute to breast cancer mortality inequities.51 Rigorous research is essential to understand and identify improvements needed along the pathway from screening to treatment,52 and to address inequities in time to follow-up after a positive screening result, time to diagnosis,53–57 and receipt of high quality treatment and support services.56,58,59

Evidence comparing outcomes for different screening intervals and ages to start and stop screening was limited or absent. Trials of personalized screening based on risk and patient preferences are in progress and may address evidence gaps related to optimal screening start ages and intervals. Research is needed to better characterize potential harms of screening, including patient perspectives on experiencing false positive screening results. Women with false positive screening results may be less likely to return for their next scheduled mammogram, as reported in a large US health system study.52,60 Rigorous studies that enroll screening populations and report advanced cancer detection, morbidity, and mortality outcomes from multiple rounds of screening are needed to overcome persistent limitations in the evidence on breast cancer screening. Multiple screening rounds are essential to determine whether a screening modality or strategy reduces the risk of advanced cancer by detecting early cancers that would otherwise have progressed (stage shift), reducing breast cancer morbidity and mortality.16–19

The potential benefits of risk-stratified screening strategies, including the use of supplemental screening with ultrasound or MRI, have not been fully evaluated, although some harms are evident. Longer term followup on existing comparative effectiveness trials, complete results from ongoing RCTs of personalized screening programs,61,62 and rigorous new studies are needed to further strengthen the evidence and optimize breast cancer screening strategies.

Conclusions

Evidence comparing the effectiveness of different breast cancer screening strategies is inconclusive because key studies have not yet been completed and few studies have reported the stage shift or mortality outcomes necessary to assess relative benefits.

Supplementary Material

Supplemental

Funding/Support:

This research was funded under contract number 75Q80120D00004, Task Order No. 75Q80121F32004from the Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services.

Role of Sponsor:

Investigators worked with USPSTF members and AHRQ staff to develop the scope, analytic framework, and key questions for this review. AHRQ had no role in study selection, quality assessment, or synthesis. AHRQ staff provided project oversight, reviewed the report to ensure that the analysis met methodological standards, and distributed the draft for peer review. Otherwise, AHRQ had no role in the conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript findings. The opinions expressed in this document are those of the authors and do not reflect the official position of AHRQ or the U.S. Department of Health and Human Services.

Footnotes

Additional Information: A draft version of this evidence report underwent external peer review from 5 content and methods experts (Nehmat Houssami, MBBS, MPH, Med, PhD [University of Sydney-Australia]; Patricia Ganz, MD [UCLA]; Gerald Gartlehner, MD, MPH [Cochrane Austria]; Karla Kerlikowske, MD [UC San Francisco]; Lisa Newman, MD, MPH [New York Presbyterian/Weill Cornell Medical Center]) and 4 scientific representatives from 3 federal partner organizations (Centers for Disease Control and Prevention; Office of Research on Women’s Health; National Institute on Minority Health and Health Disparities). Comments were presented to the USPSTF during its deliberation of the evidence and were considered in preparing the final evidence review.

Editorial Disclaimer: This evidence report is presented as a document in support of the accompanying USPSTF Recommendation Statement. It did not undergo additional peer review after submission to JAMA.

Access to Data:

Dr. Henderson had full access to all data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

REFERENCES

  • 1.National Cancer Institute. SEER Cancer Stat Facts: Female Breast Cancer. National Institutes of Health and National Cancer Institute. https://seer.cancer.gov/statfacts/html/breast.html. Published 2023. Accessed July 31, 2023. [Google Scholar]
  • 2.U.S. Cancer Statistics Working Group. U.S. Cancer Statistics Data Visualizations Tool, based on 2022 submission data (1999–2020). Centers for Disease Control and Prevention and National Cancer Institute. www.cdc.gov/cancer/dataviz. Published 2023. Updated June 2023. Accessed July 31, 2023. [Google Scholar]
  • 3.SEER Explorer. Breast Cancer: SEER Incidence Rates by Age at Diagnosis, 2016–2020, by Sex (based on November 2022 SEER incidence data). National Institutes of Health and National Cancer Institute. https://seer.cancer.gov/explorer/application.html. Published 2022. Accessed July 31, 2023. [Google Scholar]
  • 4.SEER Explorer. Breast Cancer: SEER 5-year Age-Adjusted Incidence Rates, 2015–2019. National Institutes of Health and National Cancer Institute. https://seer.cancer.gov/explorer/application.html. Published 2022. Accessed February 16, 2023. [Google Scholar]
  • 5.DeSantis CE, Ma J, Gaudet MM, et al. Breast cancer statistics, 2019. CA Cancer J Clin. 2019;69(6):438–451. [DOI] [PubMed] [Google Scholar]
  • 6.American Association for Cancer Research. AACR Cancer Disparities Progress Report 2020. http://www.CancerDisparitiesProgressReport.org. Published 2020. Accessed September 23, 2020.
  • 7.SEER Explorer. Breast Cancer: SEER 5-Year Relative Survival Rates, 2013–2019, by Race/Ethnicity (based on November 2022 SEER incidence data). National Institutes of Health and National Cancer Institute. https://seer.cancer.gov/explorer/application.html. Published 2022. Accessed February 16, 2023. [Google Scholar]
  • 8.Nelson HD, Fu R, Cantor A, Pappas M, Daeges M, Humphrey L. Effectiveness of Breast Cancer Screening: Systematic Review and Meta-analysis to Update the 2009 U.S. Preventive Services Task Force Recommendation. Ann Intern Med. 2016;164(4):244–255. [DOI] [PubMed] [Google Scholar]
  • 9.Nelson HD, Pappas M, Cantor A, Griffin J, Daeges M, Humphrey L. Harms of Breast Cancer Screening: Systematic Review to Update the 2009 U.S. Preventive Services Task Force Recommendation. Ann Intern Med. 2016;164(4):256–267. [DOI] [PubMed] [Google Scholar]
  • 10.Siu AL. Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement. Ann Intern Med. 2016;164(4):279–296. [DOI] [PubMed] [Google Scholar]
  • 11.Nelson HD, O'Meara ES, Kerlikowske K, Balch S, Miglioretti D. Factors Associated With Rates of False-Positive and False-Negative Results From Digital Mammography Screening: An Analysis of Registry Data. Ann Intern Med. 2016;164(4):226–235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Melnikow J, Fenton JJ, Whitlock EP, et al. Supplemental screening for breast cancer in women with dense breasts: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2016;164(4):268–278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wang S, Sultana F, Kavanagh A, et al. Benefits and harms of breast cancer screening: Cohort study of breast cancer mortality and overdiagnosis. Cancer Med. 2023;12(17):18120–18132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Richman IB, Long JB, Soulos PR, Wang SY, Gross CP. Estimating Breast Cancer Overdiagnosis After Screening Mammography Among Older Women in the United States. Ann Intern Med. 2023;176(9):1172–1180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.National Comprehensive Cancer Network. NCCN Guidelines: Breast Cancer Screening and Diagnosis. https://www.nccn.org/guidelines/nccn-guidelines/guidelines-detail?category=2&id=1421. Published 2022. Accessed March 10, 2023.
  • 16.Welch HG, Prorok PC, O'Malley AJ, Kramer BS. Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness. N Engl J Med. 2016;375(15):1438–1447. [DOI] [PubMed] [Google Scholar]
  • 17.Canelo-Aybar C, Carrera L, Beltran J, et al. Digital breast tomosynthesis compared to diagnostic mammographic projections (including magnification) among women recalled at screening mammography: a systematic review for the European Commission Initiative on Breast Cancer (ECIBC). Cancer Med. 2021;10(7):2191–2204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ryser MD, Lange J, Inoue LYT, et al. Estimation of Breast Cancer Overdiagnosis in a U.S. Breast Screening Cohort. Ann Intern Med. 2022;175(4):471–478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dunn BK, Woloshin S, Xie H, Kramer BS. Cancer overdiagnosis: A challenge in the era of screening. J Natl Cancer Cent. 2022;2(4):235–242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.U.S. Preventive Services Task Force. U.S. Preventive Services Task Force Procedure Manual. Rockville, MD: U.S. Preventive Services Task Force; 2023. [Google Scholar]
  • 21.Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Berkman ND, Lohr KN, Ansari M, et al. AHRQ Methods for Effective Health Care: Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An Update. In: Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Rockville (MD): Agency for Healthcare Research and Quality (US); 2008. [PubMed] [Google Scholar]
  • 23.The frequency of breast cancer screening: results from the UKCCCR Randomised Trial. United Kingdom Co-ordinating Committee on Cancer Research. Eur J Cancer. 2002;38(11):1458–1464. [DOI] [PubMed] [Google Scholar]
  • 24.Armaroli P, Frigerio A, Correale L, et al. A randomised controlled trial of Digital Breast Tomosynthesis versus Digital Mammography as primary screening tests: screening results over subsequent episodes of the Proteus Donna study. Int J Cancer. 2022;151(10):1778–1790. [DOI] [PubMed] [Google Scholar]
  • 25.Conant EF, Beaber EF, Sprague BL, et al. Breast cancer screening using tomosynthesis in combination with digital mammography compared to digital mammography alone: a cohort study within the PROSPR consortium. Breast Cancer Res Treat. 2016;156(1):109–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ganguli I, Keating NL, Thakore N, Lii J, Raza S, Pace LE. Downstream Mammary and Extramammary Cascade Services and Spending Following Screening Breast Magnetic Resonance Imaging vs Mammography Among Commercially Insured Women. JAMA Netw Open. 2022;5(4):e227234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Garcia-Albeniz X, Hernan MA, Logan RW, Price M, Armstrong K, Hsu J. Continuation of Annual Screening Mammography and Breast Cancer Mortality in Women Older Than 70 Years. Ann Intern Med. 2020;172(6):381–389. [DOI] [PubMed] [Google Scholar]
  • 28.Heindel W, Weigel S, Gerß J, et al. Digital breast tomosynthesis plus synthesised mammography versus digital screening mammography for the detection of invasive breast cancer (TOSYMA): a multicentre, open-label, randomised, controlled, superiority trial. Lancet Oncol. 2022;23(5):601–611. [DOI] [PubMed] [Google Scholar]
  • 29.Ho TH, Bissell MCS, Kerlikowske K, et al. Cumulative Probability of False-Positive Results After 10 Years of Screening With Digital Breast Tomosynthesis vs Digital Mammography. JAMA Netw Open. 2022;5(3):e222440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hofvind S, Moshina N, Holen AS, et al. Interval and Subsequent Round Breast Cancer in a Randomized Controlled Trial Comparing Digital Breast Tomosynthesis and Digital Mammography Screening. Radiology. 2021;300(1):66–76. [DOI] [PubMed] [Google Scholar]
  • 31.Hovda T, Holen AS, Lang K, et al. Interval and Consecutive Round Breast Cancer after Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Standard 2D Digital Mammography in BreastScreen Norway. Radiology. 2020;294(2):256–264. [DOI] [PubMed] [Google Scholar]
  • 32.Johnson K, Lang K, Ikeda DM, Akesson A, Andersson I, Zackrisson S. Interval Breast Cancer Rates and Tumor Characteristics in the Prospective Population-based Malmo Breast Tomosynthesis Screening Trial. Radiology. 2021;299(3):559–567. [DOI] [PubMed] [Google Scholar]
  • 33.Kerlikowske K, Su Y-R, Sprague BL, et al. Association of Screening With Digital Breast Tomosynthesis vs Digital Mammography With Risk of Interval Invasive and Advanced Breast Cancer. JAMA. 2022;327(22):2220–2230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lee JM, Arao RF, Sprague BL, et al. Performance of Screening Ultrasonography as an Adjunct to Screening Mammography in Women Across the Spectrum of Breast Cancer Risk. JAMA internal medicine. 2019;179(5):658–667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.McGuinness JE, Ueng W, Trivedi MS, et al. Factors Associated with False Positive Results on Screening Mammography in a Population of Predominantly Hispanic Women. Cancer Epidemiol Biomarkers Prev. 2018;27(4):446–453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.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(8):1069–1077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Ohuchi N, Suzuki A, Sobue T, et al. Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial. Lancet. 2016;387(10016):341–348. [DOI] [PubMed] [Google Scholar]
  • 38.Parvinen I, Chiu S, Pylkkänen L, et al. Effects of annual vs triennial mammography interval on breast cancer incidence and mortality in ages 40–49 in Finland. Br J Cancer. 2011;105(9):1388–1391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Pattacini P, Nitrosi A, Giorgi Rossi P, et al. A Randomized Trial Comparing Breast Cancer Incidence and Interval Cancers after Tomosynthesis Plus Mammography versus Mammography Alone. Radiology. 2022:211132. [DOI] [PubMed] [Google Scholar]
  • 40.Richman IB, Long JB, Hoag JR, et al. Comparative Effectiveness of Digital Breast Tomosynthesis for Breast Cancer Screening among Women 40–64 Years Old. J Natl Cancer Cent. 2021;03:03. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Sprague B, Coley RY, Lowry K, et al. Digital breast tomosynthesis versus digital mammography screening performance on successive screening rounds from the Breast Cancer Surveillance Consortium. Radiology 2023;307(5):e223142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Veenhuizen SGA, de Lange SV, Bakker MF, et al. Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial. Radiology. 2021;299(2):278–286. [DOI] [PubMed] [Google Scholar]
  • 43.Hernán MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016;183(8):758–764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Aase HS, Holen AS, Pedersen K, et al. A randomized controlled trial of digital breast tomosynthesis versus digital mammography in population-based screening in Bergen: interim analysis of performance indicators from the To-Be trial. Eur Radiol. 2019;29(3):1175–1186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Mizzi D, Allely C, Zarb F, et al. Examining the effectiveness of supplementary imaging modalities for breast cancer screening in women with dense breasts: A systematic review and meta-analysis. Eur J Radiol. 2022;154:110416. [DOI] [PubMed] [Google Scholar]
  • 46.Yuan WH, Hsu HC, Chen YY, Wu CH. Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis. Br J Cancer. 2020;123(4):673–688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Shieh Y, Eklund M, Madlensky L, et al. Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial. J Natl Cancer Cent. 2017;109(5):01. [DOI] [PubMed] [Google Scholar]
  • 48.Roux A, Cholerton R, Sicsic J, et al. Study protocol comparing the ethical, psychological and socio-economic impact of personalised breast cancer screening to that of standard screening in the “My Personal Breast Screening” (MyPeBS) randomised clinical trial. BMC Cancer. 2022;22(1):507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.SEER Explorer. Breast Cancer: U.S Mortality Rates by Age at Death, 2016–2020, by Race/Ethnicity (based on US mortality data 1969–2020). National Institutes of Health and National Cancer Institute. https://seer.cancer.gov/explorer/application.html. Published 2022. Accessed February 16, 2023. [Google Scholar]
  • 50.Chen T, Kharazmi E, Fallah M. Race and Ethnicity-Adjusted Age Recommendation for Initiating Breast Cancer Screening. JAMA Netw Open. 2023;6(4):e238893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Jatoi I, Sung H, Jemal A. The Emergence of the Racial Disparity in U.S. Breast-Cancer Mortality. N Engl J Med. 2022;386(25):2349–2352. [DOI] [PubMed] [Google Scholar]
  • 52.Mottram R, Knerr WL, Gallacher D, et al. Factors associated with attendance at screening for breast cancer: a systematic review and meta-analysis. BMJ Open. 2021;11(11):e046660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Fayanju OM, Ren Y, Stashko I, et al. Patient-reported causes of distress predict disparities in time to evaluation and time to treatment after breast cancer diagnosis. Cancer. 2021;127(5):757–768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Warner ET, Tamimi RM, Hughes ME, et al. Time to diagnosis and breast cancer stage by race/ethnicity. Breast Cancer Res Treat. 2012;136(3):813–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Kovar A, Bronsert M, Jaiswal K, et al. The Waiting Game: How Long Are Breast Cancer Patients Waiting for Definitive Diagnosis? Ann Surg Oncol. 2020;27(10):3641–3649. [DOI] [PubMed] [Google Scholar]
  • 56.Elmore JG, Nakano CY, Linden HM, Reisch LM, Ayanian JZ, Larson EB. Racial inequities in the timing of breast cancer detection, diagnosis, and initiation of treatment. Med Care. 2005;43(2):141–148. [DOI] [PubMed] [Google Scholar]
  • 57.Lawson MB, Bissell MCS, Miglioretti DL, et al. Multilevel Factors Associated With Time to Biopsy After Abnormal Screening Mammography Results by Race and Ethnicity. JAMA Oncol. 2022;8(8):1115–1126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Emerson MA, Golightly YM, Aiello AE, et al. Breast cancer treatment delays by socioeconomic and health care access latent classes in Black and White women. Cancer. 2020;126(22):4957–4966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Selove R, Kilbourne B, Fadden MK, et al. Time from Screening Mammography to Biopsy and from Biopsy to Breast Cancer Treatment among Black and White, Women Medicare Beneficiaries Not Participating in a Health Maintenance Organization. Womens Health Issues. 2016;26(6):642–647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Dabbous FM, Dolecek TA, Berbaum ML, et al. Impact of a False-Positive Screening Mammogram on Subsequent Screening Behavior and Stage at Breast Cancer Diagnosis. Cancer Epidemiol Biomarkers Prev. 2017;26(3):397–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Women Informed to Screen Depending on Measures of Risk (Wisdom Study) (WISDOM). ClinicalTrials.gov identifer: NCT02620852. https://www.clinicaltrials.gov/study/NCT02620852. Published Last updated December 8, 2022. Accessed August 7, 2023.
  • 62.My Personalized Breast Screening (MyPeBS). ClinicalTrials.gov identifer: NCT03672331. https://clinicaltrials.gov/study/NCT03672331. Published Last updated June 15, 2023. Accessed August 7, 2023.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental

Data Availability Statement

Dr. Henderson had full access to all data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

RESOURCES