Digital Tomosynthesis Mammography and Digital Mammography in Screening Patients for Breast Cancer
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.
Tomosynthesis Mammographic Imaging Screening Trial (TMIST)
- 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).
- 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.
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.
Breast Screening, Digital Mammography, Breast Tomography, Screening Mammography, TMIST, Digital Tomosynthesis Mammography, Laboratory Biomarker Analysis
For females ages 45-74
- 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
- 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
- Zuckerberg San Francisco General Hospital
accepting new patients
San Francisco California 94110 United States
- Los Angeles County-USC Medical Center
accepting new patients
Los Angeles California 90033 United States
- USC / Norris Comprehensive Cancer Center
accepting new patients
Los Angeles California 90033 United States
Lead Scientist at University of California Health
- Rita I. Freimanis (ucsf)
Rita Freimanis, MD, is professor of clinical radiology in the Breast Imaging section at the University of California, San Francisco Mount Zion. She obtained her medical degree from Bowman Gray School of Medicine, Winston-Salem, North Carolina in 1985.
- accepting new patients
- Start Date
- Completion Date
- ECOG-ACRIN Cancer Research Group
- Phase 3 research study
- Study Type
- Expecting 128905 study participants
- Last Updated