Evidence map›Paper›PMID 38683385›Full record

ArticleEuropean radiology2024

Quantitative assessment of background parenchymal enhancement is associated with lifetime breast cancer risk in screening MRI.

Ran Yan, Wakana Murakami, Shabnam Mortazavi, Tiffany Yu, Fang-I Chu, Stephanie Lee-Felker, Kyunghyun Sung

Abstract read
In one paragraph

Article in European radiology, 2024. 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.

  1. Article
  2. Article
  3. Quantitative MR Imaging of the Breast.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  4. Article
  5. 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

7 authors.

Ran YanDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. ranyan@mednet.ucla.edu.ORCID https://orcid.org/0000-0001-8204-8654
Wakana MurakamiDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Shabnam MortazaviDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Tiffany YuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Fang-I ChuDepartment of Radiation Oncology, University of California, Los Angeles, CA, USA.
Stephanie Lee-FelkerDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Kyunghyun SungDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0003-4175-5322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the quantitative background parenchymal enhancement (BPE) in women with different lifetime risks and BRCA mutation status of breast cancer using screening MRI. MATERIALS AND

methodsThis study included screening MRI of 535 women divided into three groups based on lifetime risk: nonhigh-risk women, high-risk women without BRCA mutation, and BRCA1/2 mutation carriers. Six quantitative BPE measurements, including percent enhancement (PE) and signal enhancement ratio (SER), were calculated on DCE-MRI after segmentation of the whole breast and fibroglandular tissue (FGT). The associations between lifetime risk factors and BPE were analyzed via linear regression analysis. We adjusted for risk factors influencing BPE using propensity score matching (PSM) and compared the BPE between different groups. A two-sided Mann-Whitney U-test was used to compare the BPE with a threshold of 0.1 for multiple testing issue-adjusted p values.

resultsAge, BMI, menopausal status, and FGT level were significantly correlated with quantitative BPE based on the univariate and multivariable linear regression analyses. After adjusting for age, BMI, menopausal status, hormonal treatment history, and FGT level using PSM, significant differences were observed between high-risk non-BRCA and BRCA groups in PE

conclusionQuantitative BPE varies in women with different lifetime breast cancer risks and BRCA mutation status. These differences may be due to the influence of multiple lifetime risk factors. Quantitative BPE differences remained between groups with and without BRCA mutations after adjusting for known risk factors associated with BPE. CLINICAL RELEVANCE STATEMENT: BRCA germline mutations may be associated with quantitative background parenchymal enhancement, excluding the effects of known confounding factors. This finding can provide potential insights into the cancer pathophysiological mechanisms behind lifetime risk models. KEY POINTS: Expanding understanding of breast cancer pathophysiology allows for improved risk stratification and optimized screening protocols. Quantitative BPE is significantly associated with lifetime risk factors and differs between BRCA mutation carriers and noncarriers. This research offers a possible understanding of the physiological mechanisms underlying quantitative BPE and BRCA germline mutations.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingAdultAgedBreastContrast MediaEarly Detection of CancerFemaleHumansMiddle AgedMutationRisk AssessmentRisk FactorsContrast MediaBackground parenchymal enhancementBRCA germline mutationBreast cancerLifetime riskQuantitative background parenchymal enhancement

Identifiers

PMID38683385
PMCPMC11399191

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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.