Breast ScreeningPhase 3NCT03233191
Digital Tomosynthesis Mammography and Digital Mammography in Screening Patients for Breast Cancer
A Phase 3 study testing Digital Mammography, Digital Tomosynthesis Mammography and Laboratory Biomarker Analysis in people with Breast Screening, run by ECOG-ACRIN Cancer Research Group at 149 sites in 11 countries.
Trial summary
This randomized phase III trial studies digital tomosynthesis mammography and digital mammography in screening patients for breast cancer. Screening for breast cancer with tomosynthesis mammography may be superior to digital mammography for breast cancer screening and may help reduce the need for additional imaging or… Read more about this study
- Who is it for?
- Ages 45 to 74 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- Breast Screening
- What is being tested?
- Digital Mammography, Digital Tomosynthesis Mammography and Laboratory Biomarker Analysis
- Type of treatment
- Surgery or procedure
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 108,508 participants
- Where
- 149 sitesin 11 countries
- Study dates
- 28 Sep 2017to 31 Dec 2029
- Phase
- Phase 3
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 45 to 74 years
- Women only
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Women of childbearing potential must not be known to be pregnant or lactating
- Patients must be scheduled for, or have intent to schedule, a screening mammogram
- Patients must be able to tolerate digital breast tomosynthesis and full-field digital mammographic imaging required by protocol.
- Patients must be willing and able to provide a written informed consent
- Patients must not have symptoms or signs of benign or malignant breast disease (eg, nipple discharge, breast lump) warranting a diagnostic rather than a screening mammogram, and/or other imaging studies (eg, sonogram); patients with breast pain are eligible as long as other criteria are met
- Patients must not have had a screening mammogram within the last 11 months prior to date of randomization
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- Patients must not have previous personal history of breast cancer including ductal carcinoma in situ
- Patients must not have breast enhancements (e.g., implants or injections)
- ANNUAL SCREENING REGIMEN ELIGIBILITY CHECK
- To be eligible for inclusion in the annual screening regimen one of the following three conditions must be met in addition to the eligibility criteria above:
- Patients are pre-menopausal; OR
- Post-menopausal aged 45-69 with any of the following three risks factors:
- Dense breasts (BIRADS density categories c-heterogeneously dense or d-extremely dense), or
- Family history of breast cancer (first degree relative with breast cancer), or, positive genetic testing for any deleterious genes that indicate an increased risk for breast cancer, or
- Currently on hormone therapy; OR
- Post-menopausal ages 70-74 with either of the following two risk factors:
- Dense breasts (BIRADS density categories c-heterogeneously dense or d-extremely dense), or
- Currently on hormone therapy
- Postmenopausal women are defined as those with their last menstrual period more than 12 months prior to study entry; for the purpose of defining menopausal status for women who have had surgical cessation of their periods, women who no longer have menses due to hysterectomy and oophorectomy will be considered postmenopausal; women who no longer have menses due to hysterectomy without oophorectomy will be considered premenopausal until age 52 and postmenopausal thereafter
- All other postmenopausal women are eligible for inclusion in the biennial screening regimen
- For those women who cannot be assigned to annual or biennial screening at the time of study entry and randomization because they are postmenopausal, have no family history or known deleterious breast cancer mutation, are not on hormone therapy AND have not had a prior mammogram, breast density will be determined by the radiologist?s recording of it at the time of interpretation of the first study screening examination, either DM or TM; for those who are randomized to TM, radiologists will assign BI-RADS density through review of the DM or synthetic DM portion of the TM examination; such women cannot be part of the planned stratification by screening frequency and are expected to represent far less than 1% of the Tomosynthesis Mammographic Imaging Screening Trial (TMIST) population
- Breast density will be determined by prior mammography reports, when available; all other risk factors used to determine patient eligibility for annual or biennial screening will be determined by subject self-report
Who cannot join
None listed.
Trial locations and contacts
149 sites in 11 countries.
149 sites in 11 countries
United States133 sites
University of New Mexico Cancer Center
Albuquerque, New Mexico, 87106
Trinity Health Saint Joseph Mercy Hospital Ann Arbor
Ann Arbor, Michigan, 48106
University of Michigan Comprehensive Cancer Center
Ann Arbor, Michigan, 48109
ThedaCare Regional Cancer Center
Appleton, Wisconsin, 54911
Northside Hospital
Atlanta, Georgia, 30342
UCHealth University of Colorado Hospital
Aurora, Colorado, 80045
Kern Radiology Medical Group Inc
Bakersfield, California, 93306
Mary Bird Perkins Cancer Center
Baton Rouge, Louisiana, 70809
Woman's Hospital
Baton Rouge, Louisiana, 70817
Bronson Battle Creek
Battle Creek, Michigan, 49017
Cleveland Clinic Cancer Center Beachwood
Beachwood, Ohio, 44122
University of Alabama at Birmingham Cancer Center
Birmingham, Alabama, 35233
Sanford Bismarck Medical Center
Bismarck, North Dakota, 58501
Bromenn Lifecare Center
Bloomington, Illinois, 61701
Saint Alphonsus Cancer Care Center-Boise
Boise, Idaho, 83706
Saint Luke's Cancer Institute - Boise
Boise, Idaho, 83712
Boston Medical Center
Boston, Massachusetts, 02118
Northeast Georgia Medical Center Braselton
Braselton, Georgia, 30517
Aultman Health Foundation
Canton, Ohio, 44710
Carson Tahoe Regional Medical Center
Carson City, Nevada, 89703
UNC Lineberger Comprehensive Cancer Center
Chapel Hill, North Carolina, 27599
Medical University of South Carolina
Charleston, South Carolina, 29425
University of Virginia Cancer Center
Charlottesville, Virginia, 22908
John H Stroger Jr Hospital of Cook County
Chicago, Illinois, 60612
University of Cincinnati Cancer Center-UC Medical Center
Cincinnati, Ohio, 45219
Cleveland Clinic Foundation
Cleveland, Ohio, 44195
Penrose-Saint Francis Healthcare
Colorado Springs, Colorado, 80907
Prisma Health Richland Hospital
Columbia, South Carolina, 29203
Ohio State University Comprehensive Cancer Center
Columbus, Ohio, 43210
UT Southwestern/Simmons Cancer Center-Dallas
Dallas, Texas, 75390
Carle at The Riverfront
Danville, Illinois, 61832
Carle on Fairchild
Danville, Illinois, 61832
Decatur Memorial Hospital
Decatur, Illinois, 62526
The Women's Imaging Center
Denver, Colorado, 80209
Mercy Medical Center - Des Moines
Des Moines, Iowa, 50314
Wayne State University/Karmanos Cancer Institute
Detroit, Michigan, 48201
Henry Ford Hospital
Detroit, Michigan, 48202
Essentia Health Cancer Center
Duluth, Minnesota, 55805
Duke University Medical Center
Durham, North Carolina, 27710
Easton Hospital
Easton, Pennsylvania, 18042
Arnot Ogden Medical Center/Falck Cancer Center
Elmira, New York, 14905
Radiology Imaging Associates
Englewood, Colorado, 80112
Southpointe-Sanford Medical Center Fargo
Fargo, North Dakota, 58103
Weisberg Cancer Treatment Center
Farmington Hills, Michigan, 48334
Hunterdon Medical Center
Flemington, New Jersey, 08822
Corewell Health Grand Rapids Hospitals - Butterworth Hospital
Grand Rapids, Michigan, 49503
Prisma Health Greenville Memorial Hospital
Greenville, South Carolina, 29605
Penn State Milton S Hershey Medical Center
Hershey, Pennsylvania, 17033-0850
UCHealth Highlands Ranch Hospital
Highlands Ranch, Colorado, 80129
University of North Carolina-Hillsborough Campus
Hillsborough, North Carolina, 27278
Saint Mary Medical Center
Hobart, Indiana, 46342
Queen's Medical Center
Honolulu, Hawaii, 96813
Carle Hoopeston Regional Health Center
Hoopeston, Illinois, 60942
M D Anderson Cancer Center
Houston, Texas, 77030
Memorial Hermann Texas Medical Center
Houston, Texas, 77030
Memorial Hermann Imaging Center - Upper Kirby
Houston, Texas, 77098
Indiana University/Melvin and Bren Simon Cancer Center
Indianapolis, Indiana, 46202
University of Iowa/Holden Comprehensive Cancer Center
Iowa City, Iowa, 52242
University of Florida Health Science Center - Jacksonville
Jacksonville, Florida, 32209
West Michigan Cancer Center
Kalamazoo, Michigan, 49007
Kaiser Permanente - Kensington Medical Center
Kensington, Maryland, 20895
University of Tennessee - Knoxville
Knoxville, Tennessee, 37920
Gundersen Lutheran Medical Center
La Crosse, Wisconsin, 54601
University of Arkansas for Medical Sciences
Little Rock, Arkansas, 72205
UCHealth Lone Tree Health Center
Lone Tree, Colorado, 80124
Los Angeles General Medical Center
Los Angeles, California, 90033
USC / Norris Comprehensive Cancer Center
Los Angeles, California, 90033
University of Wisconsin Carbone Cancer Center - University Hospital
Madison, Wisconsin, 53792
Marshfield Medical Center-Marshfield
Marshfield, Wisconsin, 54449
Carle Physician Group-Mattoon/Charleston
Mattoon, Illinois, 61938
Baptist Memorial Hospital and Cancer Center-Memphis
Memphis, Tennessee, 38120
Baptist Memorial Hospital for Women
Memphis, Tennessee, 38120
Bon Secours Westchester Emergency Center
Midlothian, Virginia, 23113
Hennepin County Medical Center
Minneapolis, Minnesota, 55415
Mobile Infirmary Medical Center
Mobile, Alabama, 36607
Kaiser Permanente-Modesto
Modesto, California, 95356
West Virginia University Healthcare
Morgantown, West Virginia, 26506
MUSC Health East Cooper
Mt. Pleasant, South Carolina, 29464
ProHealth D N Greenwald Center
Mukwonago, Wisconsin, 53149
The Community Hospital
Munster, Indiana, 46321
Women's Diagnostic Center - Munster
Munster, Indiana, 46321
Vanderbilt Breast Center at One Hundred Oaks
Nashville, Tennessee, 37204
Vanderbilt University/Ingram Cancer Center
Nashville, Tennessee, 37232
Saint Peter's University Hospital
New Brunswick, New Jersey, 08901
Tulane University School of Medicine
New Orleans, Louisiana, 70112
University Medical Center New Orleans
New Orleans, Louisiana, 70112
NYP/Columbia University Medical Center/Herbert Irving Comprehensive Cancer Center
New York, New York, 10032
Memorial Sloan Kettering Cancer Center
New York, New York, 10065
NYP/Weill Cornell Medical Center
New York, New York, 10065
Helen F Graham Cancer Center
Newark, Delaware, 19713
Sentara Leigh Hospital
Norfolk, Virginia, 23502
Sentara Norfolk General Hospital
Norfolk, Virginia, 23507
Bromenn Regional Medical Center
Normal, Illinois, 61761
ProHealth Oconomowoc Memorial Hospital
Oconomowoc, Wisconsin, 53066
Owensboro Health Mitchell Memorial Cancer Center
Owensboro, Kentucky, 42303
Pennsylvania Hospital
Philadelphia, Pennsylvania, 19107
Thomas Jefferson University Hospital
Philadelphia, Pennsylvania, 19107
Fox Chase Cancer Center
Philadelphia, Pennsylvania, 19111
Banner-University Medical Center Phoenix
Phoenix, Arizona, 85006
University of Arizona College of Medicine Phoenix
Phoenix, Arizona, 85006
Valleywise Comprehensive Health Center - Phoenix
Phoenix, Arizona, 85008
Mayo Clinic Hospital in Arizona
Phoenix, Arizona, 85054
Allegheny General Hospital
Pittsburgh, Pennsylvania, 15212
Riverview Medical Center/Booker Cancer Center
Red Bank, New Jersey, 07701
Mayo Clinic in Rochester
Rochester, Minnesota, 55905
University of Rochester
Rochester, New York, 14642
Park Nicollet Clinic - Saint Louis Park
Saint Louis Park, Minnesota, 55416
Regions Hospital
Saint Paul, Minnesota, 55101
University Hospital
San Antonio, Texas, 78229
Zuckerberg San Francisco General Hospital
San Francisco, California, 94110
Lewis Cancer and Research Pavilion at Saint Joseph's/Candler
Savannah, Georgia, 31405
Scottsdale Medical Imaging Limited
Scottsdale, Arizona, 85258
Swedish Medical Center-First Hill
Seattle, Washington, 98122
Sidney Kimmel Cancer Center Washington Township
Sewell, New Jersey, 08080
Ochsner LSU Health Saint Mary's Medical Center
Shreveport, Louisiana, 71101
LSU Health Sciences Center at Shreveport
Shreveport, Louisiana, 71103
Baptist Memorial Hospital and Cancer Center-Desoto
Southhaven, Mississippi, 38671
Spartanburg Medical Center
Spartanburg, South Carolina, 29303
Spartanburg Medical Center - Mary Black Campus
Spartanburg, South Carolina, 29307
Essentia Health Saint Mary's Hospital - Superior
Superior, Wisconsin, 54880
Montefiore Medical Center-Einstein Campus
The Bronx, New York, 10461
Montefiore Medical Center-Weiler Hospital
The Bronx, New York, 10461
Sanford Thief River Falls Medical Center
Thief River Falls, Minnesota, 56701
Carle Cancer Center
Urbana, Illinois, 61801
Northwest Cancer Center - Valparaiso
Valparaiso, Indiana, 46383
Essentia Health Virginia Clinic
Virginia, Minnesota, 55792
Sentara Princess Anne Hospital
Virginia Beach, Virginia, 23456
MedStar Georgetown University Hospital
Washington D.C., District of Columbia, 20007
UW Cancer Center at ProHealth Care
Waukesha, Wisconsin, 53188
Henry Ford West Bloomfield Hospital
West Bloomfield, Michigan, 48322
Wexford Health and Wellness Pavilion
Wexford, Pennsylvania, 15090
Wake Forest University Health Sciences
Winston-Salem, North Carolina, 27157
UMass Memorial Medical Center - University Campus
Worcester, Massachusetts, 01655
Canada7 sites
Saint Joseph's Health Care London
London, Ontario, N6A 4V2
Hopital Du Sacre-Coeur de Montreal
Montreal, Quebec, H4J 1C5
Ottawa Hospital and Cancer Center-General Campus
Ottawa, Ontario, K1H 8L6
CHU de Quebec-Hopital du Saint-Sacrement (HSS)
Québec, Quebec, G1S 4L8
Odette Cancer Centre- Sunnybrook Health Sciences Centre
Toronto, Ontario, M4N 3M5
Mount Sinai Hospital
Toronto, Ontario, M5G 1X5
BCCA-Vancouver Cancer Centre
Vancouver, British Columbia, V5Z 4E6
Italy1 site
Ospedale Ca Foncello di Treviso - ULSS 2 Marca Trevigiana
Treviso, 31100
South Korea1 site
National Cancer Center-Korea
Goyang-si, Gyeonggi-do, 410-769
Spain1 site
Parc Tauli Sabadell Hospital Universitari
Sabadell, Barcelona, 08208
About this study
Official title: Tomosynthesis Mammographic Imaging Screening Trial (TMIST)
This randomized phase III trial studies digital tomosynthesis mammography and digital mammography in screening patients for breast cancer. Screening for breast cancer with tomosynthesis mammography may be superior to digital mammography for breast cancer screening and may help reduce the need for additional imaging or treatment.
Read the detailed description
PRIMARY OBJECTIVES:
- To compare the proportions of participants in the tomosynthesis mammography (TM) and digital mammography (DM) study arms experiencing the occurrence of an ?advanced? breast cancer at any time during a period of 4.5 years from randomization, including the period of active screening and a period of clinical follow-up after the last screen (T4).
SECONDARY OBJECTIVES:
- To assess the potential effect of age, menopausal and hormonal status, breast density, and family cancer history on the primary endpoint difference between the two arms.
II. To compare the diagnostic performance of TM and DM, as measured by the area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).
III. To compare the recall rates and biopsy rates for TM versus DM, with subset analyses by the same variables as listed in aim II.
IV. To compare the rate of interval cancers for TM and DM and to assess the mechanism of diagnosis for these interval cancers with categorization by symptomatic versus (vs) asymptomatic, and how detected: diagnosed via physical examination, mammography, ultrasound (US), magnetic resonance imaging (MRI) or other technologies.
- To examine the correlation between Breast Imaging Reporting and Data System (BIRADS) imaging features and histologic and genetic features, such as invasive ductal and invasive lobular histology, high grade, high stage at diagnosis, and aggressive genetic subtypes.
VI. To assess different combinations of TM and synthesized 2 dimensional (2D) or DM in reader studies to assist in determining the optimum balance between diagnostic performance, radiation exposure and technique.
VII. To estimate and compare breast-cancer-specific mortality between the two study arms.
VIII. To estimate and compare the prevalence of breast cancer subtypes (luminal A, luminal B, HER2+, basal-like) low, medium or high proliferation via PAM50 proliferation signatures, and p53 mutant-like or wild-type-like according to a validated p53 dependent signature in the two arms, overall and stratified on whether cancers were detected through screening or as interval cancers, and whether cancers were invasive or in situ.
IX. To classify histologically malignant (true positive cases) and benign lesions (false positive cases) as normal-like or tumor-like using the PAM50 gene expression assay subtype (luminal A, luminal B, HER2, basal-like,), and low, medium, or high proliferation according to PAM50 proliferation signatures, and p53 mutant-like or wild-type-like according to a validated p53-dependent signature.
- To assess the agreement between local and expert study pathologists for all breast lesions (benign and malignant) biopsied during the 4.5 years of screening with TM or DM.
XI. To create a blood and buccal cell biobank for future biomarker and genetic testing.
XII. To compare health care utilization (including cancer care received) and cost of an episode of breast cancer screening by TM versus DM, overall and within subsets.
XIII. To implement a centralized quality control (QC) monitoring program for both 2D digital mammography (DM) and tomosynthesis (TM), which provides rapid feedback on image quality, using quantitative tools, taking advantage of the automated analysis of digital images.
XIV. To assess temporal and site-to site variations in image quality, breast radiation dose, and other quality control parameters in TM vs. DM.
XV. To refine and implement task-based measures of image quality to assess the effects of technical parameters, including machine type, and detector spatial and contrast resolution on measures of diagnostic accuracy for TM.
XVI. To evaluate which QC tests are useful for determination of image quality and those that are predictive of device failure, in order to recommend an optimal QC program for TM.
OUTLINE: Patients are randomized to 1 of 2 arms.
ARM A: Patients undergo bilateral screening DM with standard craniocaudal (CC) and mediolateral oblique (MLO) views at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal.
ARM B: Patients undergo manufacturer-defined screening TM at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal.
After completion of study, patients are followed up for at least 3- 8 years after study entry.
- Conditions
- Breast Screening
- Being tested
- Digital Mammography, Digital Tomosynthesis Mammography, Laboratory Biomarker Analysis
- Keywords
- Digital Mammography, Breast Tomography, Screening Mammography, TMIST
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Digital MammographyProcedure or surgery
Also called Full Field Digital Mammography, FFDM
Undergo DM
Digital Tomosynthesis MammographyProcedure or surgery
Also called DBT, Digital Breast Tomosynthesis, Digital Tomosynthesis of the Breast
Undergo TM
Laboratory Biomarker AnalysisOther
Also called Biomarker analysis, genetic analysis, PAM50
Correlative studies
| Study group | Role | What they receive |
|---|---|---|
| Arm A (digital mammography) | Experimental | Patients undergo bilateral screening DM with standard CC and MLO views at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal. Receives: Procedure: Digital Mammography; Other: Laboratory Biomarker Analysis |
| Arm B (digital tomosynthesis mammography) | Experimental | Patients undergo manufacturer-defined screening TM at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal. Receives: Procedure: Digital Tomosynthesis Mammography; Other: Laboratory Biomarker Analysis |
What is being measured
The primary outcome is the main question the study is designed to answer.
Proportion of women diagnosed with an advanced breast cancer at any time during a period of 4.5 years from randomization, including the period of active screening and a period of follow up after the last screen
The cumulative proportions of participants experiencing the primary endpoint in the two study arms will be compared. The primary comparison of the two study arms will be approached from an Intent-to-Treat perspective and will be based on a two-sided test for comparing binomial proportions.
Measured: 4.5 years after last registration
Secondary outcomes (17)
Agreement between local and expert study pathologists for all breast lesions (benign and malignant) biopsied during the five years of screening
Measures of agreement such as kappa statistics and concordance coefficients to assess the agreement of local and central pathology readings. In addition, the variability among local pathologists will be examined with respect to the degree of agreement with the central study interpretation. This analysis will utilize mixed models with random effects for local pathologists. There will be up to two central study independent pathologist interpretations for each representative diagnostic slide set.
Measured: Up to 8 years
Breast Imaging-Reporting and Data System (BIRADS) imaging features
The correlation between BIRADS imaging features and histologic and genetic features, such as invasive ductal and invasive lobular histology, high grade, high stage at diagnosis, and aggressive genetic subtypes will be examined. Using data on patients with cancer, estimates of the correlation between the two sets of features (BIRADS imaging features and histologic/genetic features) will be derived. Cluster analysis will be used to identify clusters of patients based on imaging features and will examine the association of these clusters with histology and genetic features. Using data from the fu
Measured: Up to 8 years
Breast-cancer-specific mortality
Breast-cancer-specific mortality between the two study arms will be estimated and compared. Information on cancer recurrence and mortality will be obtained for a period of at least 4.5-8 years on all study participants. Mortality rates will be estimated as the ratio of the number of breast cancer deaths during a time period to the number of person-years at risk. Person-years will be measured as time from randomization to breast cancer death or censoring. Cumulative mortality rates from breast cancer at the end of the study period in each arm will be compared via the relative risk (rate ratio).
Measured: Up to 8 years
Centralized quality control (QC) monitoring program implementation
Centralized QC monitoring program for both DM and TM, which provides rapid feedback on image quality, using quantitative tools, taking advantage of the automated analysis of digital images. The QC program will provide an auditable trail of QC activities and image quality parameters, while at the same time reducing QC effort required by the technologist at the site.
Constant monitoring of data from all sites will occur, and Root Cause Analysis will be performed for non-compliant items. The remote monitoring system will be evaluated in terms of its percent ?up-time?, technologist compliance (vi
Measured: Up to 8 years
Diagnostic and predictive performance of tomosynthesis mammography (TM) and digital mammography (DM) [AUC]
ROC analysis will be performed to compare the performance characteristics of DM vs TM at each screening visit
Measured: Up to 8 years
Assess the predictive performance of tomosynthesis mammography (TM) and digital mammography (DM)
Compare the predictive characteristics (PPV,NPV,Sens, and Spec) of DM vs TM at each screening visit
Measured: Up to 8 years
Health care costs (including diagnostic procedures and cancer care received) as the result of an episode of breast cancer screening by tomosynthesis mammography (TM) versus digital mammography (DM)
Rates of utilization of key diagnostic procedures (e.g. extra TM or DM views, Ultrasound, Short-term interval follow-up, surgical consultation, percutaneous biopsy with, needle-localized open surgical biopsy, breast MRI) will be estimated; Medicare reimbursement costs will be used to derive a standardized measure of cost per participant; and these costs will be compared across the two study arms. These measures of cost will be compared across study arms using non-parametric methods.
Measured: Up to 8 years
Health care utilization (including cancer care received) of an episode of breast cancer screening by tomosynthesis mammography (TM) versus digital mammography (DM)
Rates of utilization of key diagnostic procedures (e.g. extra TM or DM views, Ultrasound, Short-term interval follow-up, surgical consultation, percutaneous biopsy with, needle-localized open surgical biopsy, breast MRI) will be estimated and compared across the two study arms. The comparisons will be made using regression modeling
Measured: Up to 8 years
Histologically malignant (true positive cases) and benign lesions (false positive cases)
Classification of histologically benign-appearing lesions (false positive cases) will be explored as normal-like or tumor-like using the PAM50 gene expression assay subtype and low, medium, or high proliferation according to a PAM50 proliferation signature, and p53 mutant-like or wild-type-like according to a validated p53-dependent signature, and according to histological features. The benign-appearing (false positive) biopsies will be characterized using digital histologic analysis tools that capture percent of area represented by stroma, epithelium, and fat as well as the density of nuclei
Measured: Up to 8 years
Prevalence of breast cancer subtypes (luminal A, luminal B, HER2+, basal-like) and p53 signature in the two arms
Prevalence of breast cancer subtypes (luminal A, luminal B, HER2+, basal-like) and p53 signature in the two arms will be estimated and compared, overall and stratified on whether cancers were detected through screening or as interval cancers. subtypes in each arm and to compare them across arms. The analysis will be performed overall, and stratified by screen detected or interval detected. Estimates of the prevalence of subtypes and confidence intervals will be developed for each screening round and for the full period of screening. The comparison of rates across arms will be based on multinom
Measured: Up to 8 years
Proportion of women diagnosed with an ?advanced? breast cancer in the two arms
The potential effect of age, menopausal and hormonal status, breast density, and family cancer history will be assessed on the primary endpoint difference between the two arms. Regression modeling will be used to assess the effect of age, menopausal and hormonal status, breast density, and family cancer history. Multiple imputation will be used to handle missing data in the response and the covariates, and a sensitivity analysis to assumptions about the missing data will be performed. An exploratory analysis using alternative definitions of the primary endpoint will also be conducted in order
Measured: Up to 8 years
Quality control (QC) tests useful for determination of image quality and those that are predictive of device failure
QC tests that are useful for determination of image quality and those that are predictive of device failure will be evaluated, in order to recommend an optimal QC program for TM. Tests that are most sensitive to changes in system performance will be established and tests that are inferior and/or redundant and can be eliminated. Changes will be tracked against site records of alterations or repairs to the system, recalibration and changes in imaging parameters. Changes in test results will be observed and if they are suggestive that remedial action is required, we will determine after such acti
Measured: Up to 8 years
Rate of interval cancers
The rate of interval cancers for TM and DM will be compared and the mechanism of diagnosis for these interval cancers will be assessed with categorization by symptomatic vs asymptomatic, and how detected: diagnosed via physical examination, mammography, ultrasound (US), magnetic resonance imaging (MRI) or other technologies. Interval cancers are those that occur between screening examinations. Interval cancer rates for each screening occasion and over the full set of screens will be estimated using Wilson intervals and compared across arms using two-sided tests for binomial proportions. The di
Measured: Up to 8 years
Recall rates
The recall rates for TM versus (vs) DM will be compared. Recall rates are defined as the number of screening examinations that are interpreted as BIRADS 0, 3, 4 and 5 divided by the total number of screening examinations. Recall rates for each screening occasion and over the full set of screens will be estimated using Wilson intervals and compared across arms using two-sided tests for binomial proportions. Logistic regression will be used to analyze potential differences across patient subsets.
Measured: Up to 8 years
Biopsy rates
The biopsy rates for TM versus (vs) DM will be compared. biopsy rates are defined as the number of biopsies divided by the total number of screening examinations. rates for each screening occasion and over the full set of screens will be estimated using Wilson intervals and compared across arms using two-sided tests for binomial proportions. Logistic regression will be used to analyze potential differences across patient subsets
Measured: Up to 8 years
Task-based measure of image quality
Task-based measures of image quality will be refined and implemented to assess the effects of technical parameters, including machine type, and detector spatial and contrast resolution on diagnostic accuracy for TM. the diagnostic accuracy of the resulting Task-based analysis, using mathematical observers, will be assessed from image information using techniques based on signal and noise transfer.
Measured: Up to 8 years
Variability of quality control parameters
The variability of standard quality control parameters will be assessed and compared temporally, within, and across sites for both DM and TM.
Measured: Up to 8 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Jul 2017
- Study start28 Sep 2017
- Primary completion31 Mar 2028 (estimated)
- Study completion31 Dec 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Breast ScreeningStudies of the same condition, open and under way.
- More trials run by ECOG-ACRIN Cancer Research GroupThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase 3
- Primary purpose
- Screening
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants will be randomized to either Digital Breast Tomography (TM) or Full Field Digital Mammography (DM)
- Masking
- None (open label)
- Enrolment
- 108,508 participants (estimated)
Sponsor and investigators
- Lead sponsor
- ECOG-ACRIN Cancer Research Group
- Sponsor type
- Research network
- Collaborators
- National Cancer Institute (NCI), Canadian Cancer Trials Group (CCTG)
- Responsible party
- Sponsor
- Investigators
- Etta Pisano, Principal investigator, ECOG-ACRIN Cancer Research Group
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03233191
- Sponsor's protocol ID
- EA1151
- Other IDs
- NCI-2017-01111, EA1151, EA1151, EA1151, U10CA180820, U10CA180794
- Status last verified
- Oct 2026
- First submitted
- 5 Jul 2017
- Last updated
- 19 Oct 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Lee JM, Ichikawa L, Su YR, Noguchi N, Hubbard RA, Kerlikowske K, Specht JM, O'Meara ES, Henderson LM, Houssami N. Comparative Accuracy of Digital Breast Tomosynthesis and Digital Mammography for Surveillance After Breast Cancer Treatment. J Natl Compr Canc Netw. 2025 Oct 16;23(11):445-452. doi: 10.6004/jnccn.2025.7057.
PubMed 41101341Maki AK, Mawdsley GE, Mainprize JG, Pisano ED, Shen SZ, Alonzo-Proulx O, Yaffe MJ. Quality control for digital tomosynthesis in the ECOG-ACRIN EA1151 TMIST trial. Med Phys. 2023 Dec;50(12):7441-7461. doi: 10.1002/mp.16786. Epub 2023 Oct 13.
PubMed 37830895
Study at a glance
From the registry record, last updated by the sponsor on 19 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Tomosynthesis Mammographic Imaging Screening Trial (TMIST)
- ClinicalTrials.gov ID
- NCT03233191
- Acronym / sponsor ID
- EA1151
- Conditions
- Breast Screening
- Keywords
- Digital Mammography, Breast Tomography, Screening Mammography, TMIST
- Phase
- Phase 3
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 108,508 participants (estimated)
- Lead sponsor
- ECOG-ACRIN Cancer Research GroupResearch network
- Collaborators
- National Cancer Institute (NCI), Canadian Cancer Trials Group (CCTG)
- Study start
- 28 Sep 2017 (actual)
- Primary completion
- 31 Mar 2028 (estimated)
- Study completion
- 31 Dec 2029 (estimated)
- First posted
- 28 Jul 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This randomized phase III trial studies digital tomosynthesis mammography and digital mammography in screening patients for breast cancer. Screening for breast cancer with tomosynthesis mammography may be superior to digital mammography for breast cancer screening and may help reduce the need for additional imaging or treatment.
Detailed description
PRIMARY OBJECTIVES:
- To compare the proportions of participants in the tomosynthesis mammography (TM) and digital mammography (DM) study arms experiencing the occurrence of an ?advanced? breast cancer at any time during a period of 4.5 years from randomization, including the period of active screening and a period of clinical follow-up after the last screen (T4).
SECONDARY OBJECTIVES:
- To assess the potential effect of age, menopausal and hormonal status, breast density, and family cancer history on the primary endpoint difference between the two arms.
II. To compare the diagnostic performance of TM and DM, as measured by the area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).
III. To compare the recall rates and biopsy rates for TM versus DM, with subset analyses by the same variables as listed in aim II.
IV. To compare the rate of interval cancers for TM and DM and to assess the mechanism of diagnosis for these interval cancers with categorization by symptomatic versus (vs) asymptomatic, and how detected: diagnosed via physical examination, mammography, ultrasound (US), magnetic resonance imaging (MRI) or other technologies.
- To examine the correlation between Breast Imaging Reporting and Data System (BIRADS) imaging features and histologic and genetic features, such as invasive ductal and invasive lobular histology, high grade, high stage at diagnosis, and aggressive genetic subtypes.
VI. To assess different combinations of TM and synthesized 2 dimensional (2D) or DM in reader studies to assist in determining the optimum balance between diagnostic performance, radiation exposure and technique.
VII. To estimate and compare breast-cancer-specific mortality between the two study arms.
VIII. To estimate and compare the prevalence of breast cancer subtypes (luminal A, luminal B, HER2+, basal-like) low, medium or high proliferation via PAM50 proliferation signatures, and p53 mutant-like or wild-type-like according to a validated p53 dependent signature in the two arms, overall and stratified on whether cancers were detected through screening or as interval cancers, and whether cancers were invasive or in situ.
IX. To classify histologically malignant (true positive cases) and benign lesions (false positive cases) as normal-like or tumor-like using the PAM50 gene expression assay subtype (luminal A, luminal B, HER2, basal-like,), and low, medium, or high proliferation according to PAM50 proliferation signatures, and p53 mutant-like or wild-type-like according to a validated p53-dependent signature.
- To assess the agreement between local and expert study pathologists for all breast lesions (benign and malignant) biopsied during the 4.5 years of screening with TM or DM.
XI. To create a blood and buccal cell biobank for future biomarker and genetic testing.
XII. To compare health care utilization (including cancer care received) and cost of an episode of breast cancer screening by TM versus DM, overall and within subsets.
XIII. To implement a centralized quality control (QC) monitoring program for both 2D digital mammography (DM) and tomosynthesis (TM), which provides rapid feedback on image quality, using quantitative tools, taking advantage of the automated analysis of digital images.
XIV. To assess temporal and site-to site variations in image quality, breast radiation dose, and other quality control parameters in TM vs. DM.
XV. To refine and implement task-based measures of image quality to assess the effects of technical parameters, including machine type, and detector spatial and contrast resolution on measures of diagnostic accuracy for TM.
XVI. To evaluate which QC tests are useful for determination of image quality and those that are predictive of device failure, in order to recommend an optimal QC program for TM.
OUTLINE: Patients are randomized to 1 of 2 arms.
ARM A: Patients undergo bilateral screening DM with standard craniocaudal (CC) and mediolateral oblique (MLO) views at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal.
ARM B: Patients undergo manufacturer-defined screening TM at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal.
After completion of study, patients are followed up for at least 3- 8 years after study entry.
Study design
- Primary purpose
- Screening
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Participants will be randomized to either Digital Breast Tomography (TM) or Full Field Digital Mammography (DM)
| Arm | Type | Receives |
|---|---|---|
| Arm A (digital mammography) | Experimental | Procedure: Digital Mammography, Other: Laboratory Biomarker AnalysisPatients undergo bilateral screening DM with standard CC and MLO views at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal. |
| Arm B (digital tomosynthesis mammography) | Experimental | Procedure: Digital Tomosynthesis Mammography, Other: Laboratory Biomarker AnalysisPatients undergo manufacturer-defined screening TM at baseline, 12, 24, 36, and 48 months if pre-menopausal or at baseline, 24, and 48 months if post-menopausal. |
Who may qualify
- Ages
- 45 to 74 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (22 listed)
- Women of childbearing potential must not be known to be pregnant or lactating
- Patients must be scheduled for, or have intent to schedule, a screening mammogram
- Patients must be able to tolerate digital breast tomosynthesis and full-field digital mammographic imaging required by protocol.
- Patients must be willing and able to provide a written informed consent
- Patients must not have symptoms or signs of benign or malignant breast disease (eg, nipple discharge, breast lump) warranting a diagnostic rather than a screening mammogram, and/or other imaging studies (eg, sonogram); patients with breast pain are eligible as long as other criteria are met
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Digital MammographyAlso: Full Field Digital Mammography, FFDMUndergo DM | Procedure or surgery | Arm A (digital mammography) |
| Digital Tomosynthesis MammographyAlso: DBT, Digital Breast Tomosynthesis, Digital Tomosynthesis of the BreastUndergo TM | Procedure or surgery | Arm B (digital tomosynthesis mammography) |
| Laboratory Biomarker AnalysisAlso: Biomarker analysis, genetic analysis, PAM50Correlative studies | Other | Arm A (digital mammography), Arm B (digital tomosynthesis mammography) |
Primary outcome
Proportion of women diagnosed with an advanced breast cancer at any time during a period of 4.5 years from randomization, including the period of active screening and a period of follow up after the last screen
Time frame: 4.5 years after last registration
The cumulative proportions of participants experiencing the primary endpoint in the two study arms will be compared. The primary comparison of the two study arms will be approached from an Intent-to-Treat perspective and will be based on a two-sided test for comparing binomial proportions.
17 secondary outcomes
Agreement between local and expert study pathologists for all breast lesions (benign and malignant) biopsied during the five years of screening
Time frame: Up to 8 years
Breast Imaging-Reporting and Data System (BIRADS) imaging features
Time frame: Up to 8 years
Breast-cancer-specific mortality
Time frame: Up to 8 years
Centralized quality control (QC) monitoring program implementation
Time frame: Up to 8 years
Diagnostic and predictive performance of tomosynthesis mammography (TM) and digital mammography (DM) [AUC]
Time frame: Up to 8 years
Assess the predictive performance of tomosynthesis mammography (TM) and digital mammography (DM)
Time frame: Up to 8 years
Health care costs (including diagnostic procedures and cancer care received) as the result of an episode of breast cancer screening by tomosynthesis mammography (TM) versus digital mammography (DM)
Time frame: Up to 8 years
Health care utilization (including cancer care received) of an episode of breast cancer screening by tomosynthesis mammography (TM) versus digital mammography (DM)
Time frame: Up to 8 years
Histologically malignant (true positive cases) and benign lesions (false positive cases)
Time frame: Up to 8 years
Prevalence of breast cancer subtypes (luminal A, luminal B, HER2+, basal-like) and p53 signature in the two arms
Time frame: Up to 8 years
Proportion of women diagnosed with an ?advanced? breast cancer in the two arms
Time frame: Up to 8 years
Quality control (QC) tests useful for determination of image quality and those that are predictive of device failure
Time frame: Up to 8 years
Rate of interval cancers
Time frame: Up to 8 years
Recall rates
Time frame: Up to 8 years
Biopsy rates
Time frame: Up to 8 years
Task-based measure of image quality
Time frame: Up to 8 years
Variability of quality control parameters
Time frame: Up to 8 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Oct 2026.
- Derived from this study: PubMed 41101341Lee JM, Ichikawa L, Su YR, Noguchi N, Hubbard RA, Kerlikowske K, Specht JM, O'Meara ES, Henderson LM, Houssami N. Comparative Accuracy of Digital Breast Tomosynthesis and Digital Mammography for Surveillance After Breast Cancer Treatment. J Natl Compr Canc Netw. 2025 Oct 16;23(11):445-452. doi: 10.6004/jnccn.2025.7057.
- Derived from this study: PubMed 37830895Maki AK, Mawdsley GE, Mainprize JG, Pisano ED, Shen SZ, Alonzo-Proulx O, Yaffe MJ. Quality control for digital tomosynthesis in the ECOG-ACRIN EA1151 TMIST trial. Med Phys. 2023 Dec;50(12):7441-7461. doi: 10.1002/mp.16786. Epub 2023 Oct 13.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Etta Pisano principal investigator
ECOG-ACRIN Cancer Research Group
149 sites in 11 countries: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Phase 3 study testing Digital Mammography, Digital Tomosynthesis Mammography and Laboratory Biomarker Analysis in people with Breast Screening, run by ECOG-ACRIN Cancer Research Group at 149 sites in 11 countries.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 22 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 19 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 149 sites in United States, Canada, Argentina, Chile, Italy and 6 more countries. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Phase 3 studies compare the treatment with the current standard treatment or a placebo in a large group, to confirm how well it works and watch for side effects.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Proportion of women diagnosed with an advanced breast cancer at any time during a period of 4.5 years from randomization, including the period of active screening and a period of follow up after the last screen (time frame: 4.5 years after last registration). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03233191, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Oct 2026.