Evidence map›Paper›PMID 27113363›Full record

ArticleBreast cancer research : BCR2016

Background parenchymal uptake on molecular breast imaging as a breast cancer risk factor: a case-control study.

Carrie B Hruska, Christopher G Scott, Amy Lynn Conners, Dana H Whaley, Deborah J Rhodes, Rickey E Carter, Michael K O'Connor, Katie N Hunt, Kathleen R Brandt, Celine M Vachon

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Advances and Future Directions in Molecular Breast Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Review
  4. Article
  5. Article
  6. Review
  7. Article
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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

10 authors at 1 institution in 1 country.

Carrie B HruskaDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. hruska.carrie@mayo.edu.
Christopher G ScottDepartment of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Amy Lynn ConnersDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Dana H WhaleyDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Deborah J RhodesDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Rickey E CarterDepartment of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Michael K O'ConnorDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Katie N HuntDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Kathleen R BrandtDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Celine M VachonDepartment of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Mayo Clinic · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Background parenchymal uptake (BPU) on molecular breast imaging as a novel breast cancer risk factorR21CA197752 · NCI · MAYO CLINIC ROCHESTER · PI HRUSKA, CARRIE B · 2015 to 2016
$380k
NCATS NIH HHS UL1 TR000135NCI NIH HHS R21 CA197752
6 · The paper itself

Abstract

backgroundMolecular breast imaging (MBI) is a functional test used for supplemental screening of women with mammographically dense breasts. Additionally, MBI depicts variable levels of background parenchymal uptake (BPU) within nonmalignant, dense fibroglandular tissue. We investigated whether BPU is a risk factor for breast cancer.

methodsWe conducted a retrospective case-control study of 3027 eligible women who had undergone MBI between February 2004 and February 2014. Sixty-two incident breast cancer cases were identified. A total of 179 controls were matched on age, menopausal status, and MBI year. Two radiologists blinded to case status independently assessed BPU as one of four categories: photopenic, minimal to mild, moderate, or marked. Conditional logistic regression analysis was performed to estimate the associations (OR) of BPU categories (moderate or marked vs. minimal to mild or photopenic) and breast cancer risk, adjusted for other risk factors.

resultsThe median age was 60.2 years (range 38-86 years) for cases vs. 60.2 years (range 38-88 years) for controls (p = 0.88). Women with moderate or marked BPU had a 3.4-fold (95 % CI 1.6-7.3) and 4.8-fold (95 % CI 2.1-10.8) increased risk of breast cancer, respectively, compared with women with photopenic or minimal to mild BPU, for two radiologists. The results were similar after adjustment for BI-RADS density (OR 3.3 [95 % CI 1.6-7.2] and OR 4.6 [95 % CI 2.1-10.5]) or postmenopausal hormone use (OR 3.6 [95 % CI 1.7-7.7] and OR 5.0 [95 % CI 2.2-11.4]). The association of BPU with breast cancer remained in analyses limited to postmenopausal women only (OR 3.8 [95 % CI 1.5-9.3] and OR 4.1 [95 % CI 1.6-10.2]) and invasive breast cancer cases only (OR 3.6 [95 % CI 1.5-8.8] and OR 4.4 [95 % CI 1.7-11.1]). Variable BPU was observed among women with similar mammographic density; the distribution of BPU categories differed across density categories (p < 0.0001).

conclusionsThis study provides the first evidence for BPU as a risk factor for breast cancer. Among women with dense breasts, who comprise >40 % of the screening population, BPU may serve as a functional imaging biomarker to identify the subset at greatest risk.

Indexed as

Molecular ImagingAdultAgedAged, 80 and overBreast DensityBreast NeoplasmsCase-Control StudiesFemaleHumansMammary Glands, HumanMiddle AgedNeoplasm InvasivenessNeoplasm StagingRadionuclide ImagingRetrospective StudiesRisk FactorsBreast cancer riskBreast densityMammographyMolecular breast imagingTc-99m sestamibi

Identifiers

PMID27113363
PMCPMC4845425
OpenAlexW2343609692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.