Evidence map›Paper›PMID 39291552›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Discrimination Between Benign and Malignant Lesions With Restriction Spectrum Imaging MRI in an Enriched Breast Cancer Screening Cohort.

Stephane Loubrie, Jingjing Zou, Ana E Rodriguez-Soto, Jihe Lim, Maren M S Andreassen, Yuwei Cheng, Summer J Batasin, Sheida Ebrahimi, Lauren K Fang, Christopher C Conlin and 10 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

20 authors.

Stephane LoubrieDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0009-0009-0526-2281
Jingjing ZouHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Ana E Rodriguez-SotoDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-9544-547X
Jihe LimDepartment of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do, Republic of Korea.
Maren M S AndreassenDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Yuwei ChengHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Summer J BatasinDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Sheida EbrahimiDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Lauren K FangDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Christopher C ConlinDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-4509-8702
Tyler M SeibertDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-4089-7399
Michael E HahnDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Vandana DialaniDepartment of Radiology, Beth Israel Hospital, Boston, Massachusetts, USA.
Catherine J WeiDepartment of Radiology, Mass General Brigham - Salem Hospital, Salem, Massachusetts, USA.
Zahra KarimiDepartment of Radiology, Beth Israel Hospital, Boston, Massachusetts, USA.
Joshua KupermanDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Anders M DaleDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Haydee Ojeda-FournierDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Etta PisanoDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Rebecca Rakow-PennerDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-2566-1978

Funding

Advanced diffusion MRI for evaluating early response to radiation treatment in cervical cancerR37CA249659 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Rebecca Ann Rakow-Penner · 2021 to 2026
$3.8M
GE Healthcare Research GrantKrueger v. Wyeth Research AwardNCI/NIH 5R37CA249659NCI NIH HHS R37 CA249659RSNA Research and Education Foundation
6 · The paper itself

Abstract

backgroundBreast cancer screening with dynamic contrast-enhanced MRI (DCE-MRI) is recommended for high-risk women but has limitations, including variable specificity and difficulty in distinguishing cancerous (CL) and high-risk benign lesions (HRBL) from average-risk benign lesions (ARBL). Complementary non-invasive imaging techniques would be useful to improve specificity. PURPOSE: To evaluate the performance of a previously-developed breast-specific diffusion-weighted MRI (DW-MRI) model (BS-RSI3C) to improve discrimination between CL, HRBL, and ARBL in an enriched screening population. STUDY TYPE: Prospective. SUBJECTS: Exactly 187 women, either with mammography screening recommending additional imaging (N = 49) or high-risk individuals undergoing routine breast MRI (N = 138), before the biopsy. FIELD STRENGTH/SEQUENCE: Multishell DW-MRI echo planar imaging sequence with a reduced field of view at 3.0 T. ASSESSMENT: A total of 72 women had at least one biopsied lesion, with 89 lesions categorized into ARBL, HRBL, CL, and combined CLs and HRBLs (CHRLs). DW-MRI data were processed to produce apparent diffusion coefficient (ADC) maps, and estimate signal contributions (C STATISTICAL TESTS: One-way ANOVA and two-sided t-tests were used to assess differences in signal contributions and ADC values among groups. P-values were adjusted using the Bonferroni method for multiple testing, P = 0.05 was used for the significance level. Receiver operating characteristics (ROC) curves and intra-class correlations (ICC) were also evaluated.

resultsC DATA

conclusionThis study demonstrated the BS-RSI3C could differentiate HRBLs from ARBLs in a screening population, and separate CHRLs from ARBLs better than ADC. LEVEL OF EVIDENCE: 1: TECHNICAL EFFICACY STAGE: 2.

Indexed as

Breast NeoplasmsDiffusion Magnetic Resonance ImagingEarly Detection of CancerMagnetic Resonance ImagingAdultAgedBreastCohort StudiesContrast MediaDiagnosis, DifferentialFemaleHumansImage Interpretation, Computer-AssistedMammographyMiddle AgedProspective StudiesContrast Mediabreastdiffusionhigh‐risk benignRSI

Identifiers

PMID39291552
PMCPMC11896923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.