Evidence map›Paper›PMID 28415974›Full record

ArticleBMC cancer2017

Evaluation of the association between quantitative mammographic density and breast cancer occurred in different quadrants.

Siwa Chan, Jeon-Hor Chen, Shunshan Li, Rita Chang, Darh-Cherng Yeh, Ruey-Feng Chang, Lee-Ren Yeh, Jessica Kwong, Min-Ying Su

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  14. Impact of deformation on a supine-positioned image-guided breast surgery approach.International journal of computer assisted radiology and surgery · 2021
    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

9 authors.

Siwa ChanGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Jeon-Hor ChenCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA. jeonhc@uci.edu.
Shunshan LiCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA.
Rita ChangCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA.
Darh-Cherng YehBreast Cancer Center, Tzu Chi General Hospital, Taichung, Taiwan.
Ruey-Feng ChangGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Lee-Ren YehDepartment of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan.
Jessica KwongCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA.
Min-Ying SuCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA.

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Prediction of Neoadjuvant Chemo Pathological Response Using MRI MarkersR01CA127927 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SU, MIN-YING L. · 2008 to 2017
$5.0M
Volume and Morphology of Fibroglandular Tissue for Breast Cancer Risk PredictionR21CA170955 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, JEON-HOR, SU, MIN-YING L. · 2013 to 2014
$363k
Evaluation of 3D MRI-Based Quantitative Breast Density for ChemopreventionR03CA136071 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, JEON-HOR · 2009 to 2010
$153k
NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA127927NCI NIH HHS R03 CA136071NCI NIH HHS R21 CA170955
6 · The paper itself

Abstract

backgroundTo investigate the relationship between mammographic density measured in four quadrants of a breast with the location of the occurred cancer.

methodsOne hundred and ten women diagnosed with unilateral breast cancer that could be determined in one specific breast quadrant were retrospectively studied. Women with previous cancer/breast surgery were excluded. The craniocaudal (CC) and mediolateral oblique (MLO) mammography of the contralateral normal breast were used to separate a breast into 4 quadrants: Upper-Outer (UO), Upper-Inner (UI), Lower-Outer (LO), and Lower-Inner (LI). The breast area (BA), dense area (DA), and percent density (PD) in each quadrant were measured by using the fuzzy-C-means segmentation. The BA, DA, and PD were compared between patients who had cancer occurring in different quadrants.

resultsThe upper-outer quadrant had the highest BA (37 ± 15 cm

conclusionsBreast cancer was most likely to occur in the UO quadrant, which was also the quadrant with highest BA and DA; but for women with tumors in other quadrants, the density in that quadrant was not the highest. Therefore, there was no direct association between quadrant density and tumor occurrence.

Indexed as

AdultAgedAged, 80 and overAlgorithmsBreastBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansImage Processing, Computer-AssistedMammographyMiddle AgedRetrospective StudiesBreast cancerBreast quadrantDense areaMammographic densityPercent densityUpper-outer quadrant

Identifiers

PMID28415974
PMCPMC5392962

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.