Evidence map›Paper›PMID 28131498›Full record

ArticleAcademic radiology2017

3D MRI for Quantitative Analysis of Quadrant Percent Breast Density: Correlation with Quadrant Location of Breast Cancer.

Jeon-Hor Chen, Fuyi Liao, Yang Zhang, Yifan Li, Chia-Ju Chang, Chen-Pin Chou, Tsung-Lung Yang, Min-Ying Su

Open access · greenAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Academic radiology, 2017. 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
0.2field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Jeon-Hor ChenCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, 164, Irvine Hall, Irvine, CA 92697-5020; Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan. Electronic address: jeonhc@uci.edu.
Fuyi LiaoCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, 164, Irvine Hall, Irvine, CA 92697-5020.
Yang ZhangCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, 164, Irvine Hall, Irvine, CA 92697-5020.
Yifan LiCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, 164, Irvine Hall, Irvine, CA 92697-5020.
Chia-Ju ChangDepartment of Radiological Technology, China Medical University, Taichung, Taiwan.
Chen-Pin ChouDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Tsung-Lung YangDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Min-Ying SuCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, 164, Irvine Hall, Irvine, CA 92697-5020.
University of California, Irvine · USKaohsiung Veterans General Hospital · TWChina Medical University · TW

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
Mammographic Density and Metabolic Genotyping for Predicting Cancer PrognosisR21CA208938 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, JEON-HOR, SU, MIN-YING L. · 2017 to 2018
$370k
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 CA170955NCI NIH HHS R21 CA208938
6 · The paper itself

Abstract

RATIONALE AND

objectivesBreast cancer occurs more frequently in the upper outer (UO) quadrant, but whether this higher cancer incidence is related to the greater amount of dense tissue is not known. Magnetic resonance imaging acquires three-dimensional volumetric images and is the most suitable among all breast imaging modalities for regional quantification of density. This study applied a magnetic resonance imaging-based method to measure quadrant percent density (QPD), and evaluated its association with the quadrant location of the developed breast cancer. MATERIALS AND

methodsA total of 126 cases with pathologically confirmed breast cancer were reviewed. Only women who had unilateral breast cancer located in a clear quadrant were selected for analysis. A total of 84 women, including 47 Asian women and 37 western women, were included. An established computer-aided method was used to segment the diseased breast and the contralateral normal breast, and to separate the dense and fatty tissues. Then, a breast was further separated into four quadrants using the nipple and the centroid as anatomic landmarks. The tumor was segmented using a computer-aided method to determine its quadrant location. The distribution of cancer quadrant location, the quadrant with the highest QPD, and the proportion of cancers occurring in the highest QPD were analyzed.

resultsThe highest incidence of cancer occurred in the UO quadrant (36 out of 84, 42.9%). The highest QPD was also noted most frequently in the UO quadrant (31 out of 84, 36.9%). When correlating the highest QPD with the quadrant location of breast cancer, only 17 women out of 84 (20.2%) had breast cancer occurring in the quadrant with the highest QPD.

conclusionsThe results showed that the development of breast cancer in a specific quadrant could not be explained by the density in that quadrant, and further studies are needed to find the biological reasons accounting for the higher breast cancer incidence in the UO quadrant.

Indexed as

Breast DensityAdultAgedBreastBreast NeoplasmsEvaluation Studies as TopicFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMiddle AgedBreast cancerdense tissuemagnetic resonance imagingquadrant percent density

Identifiers

PMID28131498
PMCPMC5482764
OpenAlexW2580802095

What OpenQuestion holds

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Registered trials

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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.