Evidence map›Paper›PMID 42624429›Full record

ArticleContemporary clinical trials2026

The FYI on MRI: Protocol for a randomized, parallel-group superiority trial of a multilevel decision support intervention to increase informed decision-making about screening breast MRI among high-risk black and Latina women.

Claire C Conley, Mary Gleason Mills, Chiranjeev Dash, George Luta, Judy H Song, Claudine Isaacs, Kristi D Graves, Suzanne C O'Neill

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06892275 (The FYI on MRI), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06892275 narecruitingnot on this map

The FYI on MRI: A Multilevel Decision Support Intervention for Screening Breast MRI

TypeinterventionalSponsorGeorgetown UniversityRan2025 to 2027Enrolled80ConditionsBreast Neoplasm Female, Early Detection of Cancer, Hereditary Breast and Ovarian Cancer Syndrome, Magnetic Resonance ImagingArmsEnhanced Usual Care, Decision Support
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Claire C ConleyDepartment of Oncology, Georgetown University, Washington, DC, USA. Electronic address: claire.conley@georgetown.edu.
Mary Gleason MillsRalph Lauren Center for Cancer Prevention, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Chiranjeev DashDepartment of Oncology, Georgetown University, Washington, DC, USA; Ralph Lauren Center for Cancer Prevention, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
George LutaDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA.
Judy H SongDepartment of Radiology, Georgetown University, Washington, DC, USA.
Claudine IsaacsDepartment of Oncology, Georgetown University, Washington, DC, USA.
Kristi D GravesDepartment of Oncology, Georgetown University, Washington, DC, USA.
Suzanne C O'NeillDepartment of Oncology, Georgetown University, Washington, DC, USA.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Habtom W Ressom · 1990 to 2026
$71.5M
The FYI on MRI: A Multilevel Decision Support Intervention for Screening Breast MRIK08CA270402 · NCI · GEORGETOWN UNIVERSITY · PI Claire C Conley · 2023 to 2026
$777k
NCI NIH HHS K08 CA270402NCI NIH HHS P30 CA051008
6 · The paper itself

Abstract

backgroundWomen at high risk for breast cancer (i.e., estimated lifetime risk ≥20%) should receive annual mammography and consider supplemental screening breast MRI. However, high-risk Black and Latina women face substantial barriers to both risk identification and MRI awareness. This trial will assess the efficacy of a multilevel decision support intervention to increase informed decisions about screening breast MRI among high-risk Black and Latina women.

methodsAdult females ages 18-74 who identify as Black and/or Latina and have an estimated lifetime breast cancer risk ≥20% as identified through universal risk assessment will be recruited following a routine screening mammogram with normal results. After completing a baseline survey (T0), participants will be randomly assigned to receive either (1) a culturally-relevant breast MRI decision aid or (2) an enhanced usual care letter indicating eligibility for screening breast MRI. Randomization will be stratified by race and ethnicity (non-Hispanic Black, Hispanic Black, other Hispanic) to ensure balance across study groups. The primary outcome is informed decision about breast MRI at the 1-month follow-up (T1). Secondary outcomes include decision satisfaction and decisional conflict. Receipt of screening breast MRI at the 6-month follow-up (T2) assessed via electronic medical record review is an exploratory outcome.

conclusionThis study is well-positioned to evaluate the impact of a culturally relevant decision aid above and beyond the effect of universal risk assessment and identification alone. If demonstrated to increase informed decisions, this intervention framework can be translated to any new preference-sensitive, risk-based cancer screening modality. CLINICAL TRIALS REGISTRATION NUMBER: NCT06892275.

Indexed as

Black or African AmericanBreast NeoplasmsDecision MakingDecision Support TechniquesHispanic or LatinoMagnetic Resonance ImagingAdolescentAdultAgedEarly Detection of CancerEquivalence Trials as TopicFemaleHumansMiddle AgedRandomized Controlled Trials as TopicYoung AdultBreast cancerCancer screeningDecision aidInformed decision makingMagnetic resonance imagingMultilevel interventionPatient navigation

Identifiers

PMID42624429
PMCPMC13679659

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.