- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05787249
Improving Utilization of Supplemental Breast MRI Screening for Women With Extremely Dense Breasts
January 7, 2026 updated by: Abramson Cancer Center at Penn Medicine
The goal of this study is to increase MRI utilization among women with extremely dense breasts.
The main question it seeks to answer is whether nudging of the provider, patient, or both increases the uptake of MRI among this group, and whether this effect differs between Black and White women.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Women with dense breasts have 3-5-fold increased risk for breast cancer as women without dense breasts.
Dense breast tissue can "mask" small tumors, leading to reduced mammography sensitivity.
Recent randomized controlled trials demonstrate that supplemental breast MRI screening improves detection of small, invasive cancers that are not detected by mammography.
In January 2022, a Pennsylvania law went into effect mandating insurance coverage of supplemental screening for women with extremely dense breasts.
Currently only a small fraction of eligible women with extremely dense breasts are receiving supplemental breast MRI screening.
Clinical pathways to identify patients who are eligible for insurance coverage of supplemental breast MRI screening and communicate this option to patients and providers are needed to ensure equitable access to supplemental screening.
This study therefore proposes a stepped wedge cluster randomized clinical trial to determine whether electronic health record (EHR) and secure text message nudges increase utilization of supplemental breast MRI screening among eligible women with extremely dense breasts.
Study Type
Interventional
Enrollment (Actual)
1358
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Pennsylvania
-
Bala-Cynwyd, Pennsylvania, United States, 19004
- University of Pennsylvania
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
40 years to 74 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Patient participants:
Inclusion Criteria:
- Women aged 40-74
- Recent non-actionable mammogram of less than 6 months
- Mammogram performed at Penn Center for Advanced Medicine, Penn Presbyterian Hospital, Pennsylvania Hospital, or Radnor
- Valid mobile phone number
Exclusion Criteria:
- Prior history of breast cancer
- No breast MRI within the past 2 years
- No prior actionable mammogram within 6 months
- No recent or concurrent ultrasound
Provider participants:
Inclusion Criteria:
- Provider needs to have ordered the initial screening mammogram
- Employed by Penn Health System and access to Penn Chart
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Usual care (no nudge)
Usual standard of care, no nudging.
|
|
|
Experimental: Provider nudge only
Nudge sent to provider through EHR.
|
Nudge directed to the provider with the aim of increasing ordering of MRI in patients with extremely dense breasts
|
|
Experimental: Patient nudge only
Nudge sent to the patient through text messaging.
|
Nudge directed to the patient with the aim of increasing the uptake of MRI in patients with extremely dense breasts
|
|
Experimental: Patient and provider nudge
Nudge sent to both provider through EHR, and to patient through text messaging.
|
Nudge directed to the provider with the aim of increasing ordering of MRI in patients with extremely dense breasts
Nudge directed to the patient with the aim of increasing the uptake of MRI in patients with extremely dense breasts
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Ordering and/or scheduling of supplemental breast MRI
Time Frame: 6 months
|
Whether a breast MRI is ordered and/or scheduled within 6 months of receiving a nudge.
|
6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Ordering of breast MRI
Time Frame: 6 months
|
Whether an MRI is ordered within 6 months of receiving a nudge.
Analyzed separately from scheduling.
|
6 months
|
|
Scheduling of breast MRI
Time Frame: 6 months
|
Whether an MRI is scheduled within 6 months of receiving a nudge.
Analyzed separately from ordering.
|
6 months
|
|
Completion of breast MRI
Time Frame: 6 months
|
Whether an MRI is completed within 6 months of receiving a nudge
|
6 months
|
|
False-positive rate
Time Frame: 6 months
|
False-positive rate among those women who schedule and undergo MRI
|
6 months
|
|
Cancer detection rate
Time Frame: 6 months
|
Cancer detection rate among those women who schedule and undergo MRI
|
6 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Anne Marie McCarthy, PhD, University of Pennsylvania
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Patel MS, Kurtzman GW, Kannan S, Small DS, Morris A, Honeywell S Jr, Leri D, Rareshide CAL, Day SC, Mahoney KB, Volpp KG, Asch DA. Effect of an Automated Patient Dashboard Using Active Choice and Peer Comparison Performance Feedback to Physicians on Statin Prescribing: The PRESCRIBE Cluster Randomized Clinical Trial. JAMA Netw Open. 2018 Jul 6;1(3):e180818. doi: 10.1001/jamanetworkopen.2018.0818.
- Pettersson A, Graff RE, Ursin G, Santos Silva ID, McCormack V, Baglietto L, Vachon C, Bakker MF, Giles GG, Chia KS, Czene K, Eriksson L, Hall P, Hartman M, Warren RM, Hislop G, Chiarelli AM, Hopper JL, Krishnan K, Li J, Li Q, Pagano I, Rosner BA, Wong CS, Scott C, Stone J, Maskarinec G, Boyd NF, van Gils CH, Tamimi RM. Mammographic density phenotypes and risk of breast cancer: a meta-analysis. J Natl Cancer Inst. 2014 May 10;106(5):dju078. doi: 10.1093/jnci/dju078.
- Bond-Smith D, Stone J. Methodological Challenges and Updated Findings from a Meta-analysis of the Association between Mammographic Density and Breast Cancer. Cancer Epidemiol Biomarkers Prev. 2019 Jan;28(1):22-31. doi: 10.1158/1055-9965.EPI-17-1175. Epub 2018 Sep 11.
- Veenhuizen SGA, de Lange SV, Bakker MF, Pijnappel RM, Mann RM, Monninkhof EM, Emaus MJ, de Koekkoek-Doll PK, Bisschops RHC, Lobbes MBI, de Jong MDF, Duvivier KM, Veltman J, Karssemeijer N, de Koning HJ, van Diest PJ, Mali WPTM, van den Bosch MAAJ, van Gils CH, Veldhuis WB; DENSE Trial Study Group. Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial. Radiology. 2021 May;299(2):278-286. doi: 10.1148/radiol.2021203633. Epub 2021 Mar 16.
- Weinstein SP, Korhonen K, Cirelli C, Schnall MD, McDonald ES, Pantel AR, Zuckerman S, Borthakur A, Conant EF. Abbreviated Breast Magnetic Resonance Imaging for Supplemental Screening of Women With Dense Breasts and Average Risk. J Clin Oncol. 2020 Nov 20;38(33):3874-3882. doi: 10.1200/JCO.19.02198. Epub 2020 Sep 15.
- Expert Panel on Breast Imaging; Weinstein SP, Slanetz PJ, Lewin AA, Battaglia T, Chagpar AB, Dayaratna S, Dibble EH, Goel MS, Hayward JH, Kubicky CD, Le-Petross HT, Newell MS, Sanford MF, Scheel JR, Vincoff NS, Yao K, Moy L. ACR Appropriateness Criteria(R) Supplemental Breast Cancer Screening Based on Breast Density. J Am Coll Radiol. 2021 Nov;18(11S):S456-S473. doi: 10.1016/j.jacr.2021.09.002.
- Wolf, Tom. "Insurance Company Law of 1921 - Coverage for Mammographic Examinations." The Office Website for the Pennsylvania General Assembly, Pennsylvania General Assembly, 2020, https://www.legis.state.pa.us/cfdocs/legis/li/uconsCheck.cfm?yr=2020&sessInd=0&act=52.
- Niraula S, Biswanger N, Hu P, Lambert P, Decker K. Incidence, Characteristics, and Outcomes of Interval Breast Cancers Compared With Screening-Detected Breast Cancers. JAMA Netw Open. 2020 Sep 1;3(9):e2018179. doi: 10.1001/jamanetworkopen.2020.18179.
- Monsees BS. The Mammography Quality Standards Act. An overview of the regulations and guidance. Radiol Clin North Am. 2000 Jul;38(4):759-72. doi: 10.1016/s0033-8389(05)70199-8.
- Sedrak MS, Myers JS, Small DS, Nachamkin I, Ziemba JB, Murray D, Kurtzman GW, Zhu J, Wang W, Mincarelli D, Danoski D, Wells BP, Berns JS, Brennan PJ, Hanson CW, Dine CJ, Patel MS. Effect of a Price Transparency Intervention in the Electronic Health Record on Clinician Ordering of Inpatient Laboratory Tests: The PRICE Randomized Clinical Trial. JAMA Intern Med. 2017 Jul 1;177(7):939-945. doi: 10.1001/jamainternmed.2017.1144.
- Takvorian SU, Bekelman J, Beidas RS, Schnoll R, Clifton ABW, Salam T, Gabriel P, Wileyto EP, Scott CA, Asch DA, Buttenheim AM, Rendle KA, Chaiyachati K, Shelton RC, Ware S, Chivers C, Schuchter LM, Kumar P, Shulman LN, O'Connor N, Lieberman A, Zentgraf K, Parikh RB. Behavioral economic implementation strategies to improve serious illness communication between clinicians and high-risk patients with cancer: protocol for a cluster randomized pragmatic trial. Implement Sci. 2021 Sep 25;16(1):90. doi: 10.1186/s13012-021-01156-6.
- Jenssen BP, Schnoll R, Beidas R, Bekelman J, Bauer AM, Scott C, Evers-Casey S, Nicoloso J, Gabriel P, Asch DA, Buttenheim A, Chen J, Melo J, Shulman LN, Clifton ABW, Lieberman A, Salam T, Zentgraf K, Rendle KA, Chaiyachati K, Shelton R, Wileyto EP, Ware S, Leone F. Rationale and protocol for a cluster randomized pragmatic clinical trial testing behavioral economic implementation strategies to improve tobacco treatment rates for cancer patients who smoke. Implement Sci. 2021 Jul 15;16(1):72. doi: 10.1186/s13012-021-01139-7.
- Comstock CE, Gatsonis C, Newstead GM, Snyder BS, Gareen IF, Bergin JT, Rahbar H, Sung JS, Jacobs C, Harvey JA, Nicholson MH, Ward RC, Holt J, Prather A, Miller KD, Schnall MD, Kuhl CK. Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening. JAMA. 2020 Feb 25;323(8):746-756. doi: 10.1001/jama.2020.0572.
- McCarthy AM, Fernandez Perez C, Beidas RS, Bekelman JE, Blumenthal D, Mack E, Bauer AM, Ehsan S, Conant EF, Wheeler BC, Guerra CE, Nunes LW, Gabriel P, Doucette A, Wileyto EP, Buttenheim AM, Asch DA, Rendle KA, Shelton RC, Fayanju OM, Ware S, Plag M, Hyland S, Gionta T, Shulman LN, Schnoll R. Protocol for a pragmatic stepped wedge cluster randomized clinical trial testing behavioral economic implementation strategies to increase supplemental breast MRI screening among patients with extremely dense breasts. Implement Sci. 2023 Nov 24;18(1):65. doi: 10.1186/s13012-023-01323-x.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 4, 2023
Primary Completion (Actual)
April 4, 2025
Study Completion (Actual)
April 4, 2025
Study Registration Dates
First Submitted
March 15, 2023
First Submitted That Met QC Criteria
March 15, 2023
First Posted (Actual)
March 28, 2023
Study Record Updates
Last Update Posted (Actual)
January 8, 2026
Last Update Submitted That Met QC Criteria
January 7, 2026
Last Verified
August 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- UPCC 03123
- P50CA244690 (U.S. NIH Grant/Contract)
- 852666 (Registry Identifier: University of Pennsylvania Institutional Review Board)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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