Evidence map›Paper›PMID 39804645›Full record

ArticleJAMA network open2025

Breast Cancer MRI Screening of Patients After Multiplex Gene Panel Testing.

Leah A Naghi, Julie O Culver, Charité Ricker, Duveen Sturgeon, Kerry Kingham, Rachel Hodan, Nicolette M Chun, John Kidd, Joseph Bonner, Christine Hong and 9 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

19 authors.

Leah A NaghiCity of Hope National Medical Center, Duarte, California.
Julie O CulverUniversity of Southern California Norris Comprehensive Cancer Center, Los Angeles.
Charité RickerUniversity of Southern California Norris Comprehensive Cancer Center, Los Angeles.
Duveen SturgeonCity of Hope National Medical Center, Duarte, California.
Kerry KinghamStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
Rachel HodanStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
Nicolette M ChunStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
John KiddMyriad Genetics, Salt Lake City, Utah.
Joseph BonnerCity of Hope National Medical Center, Duarte, California.
Christine HongCity of Hope National Medical Center, Duarte, California.
Jennifer Morales-PichardoCity of Hope National Medical Center, Duarte, California.
Meredith MillsStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
Sidney LindseyCity of Hope National Medical Center, Duarte, California.
Kevin McDonnellCity of Hope National Medical Center, Duarte, California.
Uri LadabaumStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
James M FordStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
Stephen B GruberCity of Hope National Medical Center, Duarte, California.
Allison W KurianStanford Cancer Institute, Stanford University School of Medicine, Stanford, California.
Gregory E IdosCity of Hope National Medical Center, Duarte, California.

Funding

Southern California Clinical and Translational Science InstituteKL2TR000131 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$2.1M
NCATS NIH HHS KL2 TR000131
6 · The paper itself

Abstract

Importance: Enhanced breast cancer screening with magnetic resonance imaging (MRI) is recommended to women with elevated risk of breast cancer, yet uptake of screening remains unclear after genetic testing. Objective: To evaluate uptake of MRI after genetic results disclosure and counseling. Design, Setting, and Participants: This multicenter cohort study was conducted at the University of Southern California Norris Cancer Hospital, the Los Angeles General Medical Center, and the Stanford University Cancer Institute. Patients were recruited from July 1, 2014, through November 30, 2016. Following multiplex gene panel testing and genetic counseling, patients responded to surveys about breast MRI screening at 3, 6, 12, and 24 months and to a final survey between 3 and 4 years after counseling. Participants met standard clinical criteria for genetic testing or had a 2.5% or greater probability of inherited cancer susceptibility. Patients were categorized based on breast cancer risk from genetic testing results and Tyrer-Cuzick model-calculated risk as having (1) a BRCA or other high-risk pathogenic variant (PV), (2) a moderate-risk PV, (3) a higher lifetime breast cancer risk (≥20%), or (4) a lower lifetime breast cancer risk (<20%). Analysis was conducted from September 28 to November 9, 2023. Interventions: Genetic testing with a 25- or 28-gene panel, and pretest and posttest genetic counseling by a genetic counselor or an advanced practice genetics nurse practitioner, which included cancer-specific screening recommendations. Main Outcomes and Measures: MRI screening adherence over time across risk groups was estimated using Cox proportional hazards regression modeling. Likelihood of screening adherence (odds ratios [ORs] with 95% CIs), controlling for potential confounders, was estimated using logistic regression. Results: This study included 638 patients, with a mean (SD) age of 50.7 (13.3) years at testing. There were 43 patients (6.7%) with a BRCA or other high-risk PV, 16 (2.5%) with a moderate-risk PV, 146 (22.9%) with higher lifetime breast cancer risk, and 433 (67.9%) with lower lifetime breast cancer risk. A total of 52 patients (8.2%) identified as Asian, 21 (3.3%) as Black, 271 (42.5%) as Hispanic, and 255 (40.0) as White. Compared with patients with lower lifetime breast cancer risk, patients with a BRCA or other high-risk PV and those with a moderate-risk PV were approximately 10 times (OR, 9.81 [95% CI, 4.05-23.86]; P < .001) and 4 times (OR, 4.12 [95% CI, 1.10-14.35]; P = .03) as likely to undergo MRI, respectively. Patients with a BRCA or other high-risk PV were nearly 16 times (OR, 15.81 [95% CI, 5.17-48.31]) as likely to report consistent yearly MRI screening compared with patients with lower lifetime risk. Conclusions and Relevance: In this study, women with inherited PVs conferring increased breast cancer risk had higher and more consistent MRI uptake than women with lower estimated risk. These findings emphasize the importance of genetic cancer risk assessment for effective enhanced breast cancer screening.

Indexed as

Breast NeoplasmsEarly Detection of CancerGenetic TestingMagnetic Resonance ImagingAdultAgedCohort StudiesFemaleGenetic CounselingGenetic Predisposition to DiseaseHumansMiddle Aged

Identifiers

PMID39804645
PMCPMC11731224

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.