Evidence map›Paper›PMID 27283069›Full record

ArticleAcademic radiology2016

Opportunistic Breast Density Assessment in Women Receiving Low-dose Chest Computed Tomography Screening.

Jeon-Hor Chen, Siwa Chan, Nan-Han Lu, Yifan Li, Yu Chieh Tsai, Po Yun Huang, Chia-Ju Chang, Min-Ying Su

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

Article in Academic radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Influence of sarcopenia, clinical data, and 2-[European journal of nuclear medicine and molecular imaging · 2022
    Article
  5. Review
  6. Article
  7. 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

8 authors at 5 institutions in 2 countries.

Jeon-Hor ChenCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, No. 164, Irvine Hall, Irvine, CA 92697-5020; Department of Radiology, E-Da Hospital, I-Shou University, No. 1, E-Da Road, Kaohsiung, Taiwan. Electronic address: jeonhc@uci.edu.
Siwa ChanDepartment of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan; Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Nan-Han LuDepartment of Radiology, E-Da Hospital, I-Shou University, No. 1, E-Da Road, Kaohsiung, Taiwan.
Yifan LiCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, No. 164, Irvine Hall, Irvine, CA 92697-5020.
Yu Chieh TsaiDepartment of Radiological Technology, China Medical University, Taichung, Taiwan.
Po Yun HuangDepartment of Radiological Technology, China Medical University, Taichung, Taiwan.
Chia-Ju ChangDepartment of Radiological Technology, China Medical University, Taichung, Taiwan.
Min-Ying SuCenter for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, No. 164, Irvine Hall, Irvine, CA 92697-5020.
China Medical University · TWUniversity of California, Irvine · USE-Da Hospital · TWI-Shou University · TWNational Taiwan 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
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

RATIONALE AND

objectivesLow-dose chest computed tomography (LDCT), increasingly being used for screening of lung cancer, may also be used to measure breast density, which is proven as a risk factor for breast cancer. In this study, we developed a segmentation method to measure quantitative breast density on CT images and correlated with magnetic resonance density. MATERIALS AND

methodsForty healthy women receiving both LDCT and breast magnetic resonance imaging (MRI) were studied. A semiautomatic method was applied to quantify the breast density on LDCT images. The intra- and interoperator reproducibility was evaluated. The volumetric density on MRI was obtained by using a well-established automatic template-based segmentation method. The breast volume (BV), fibroglandular tissue volume (FV), and percent breast density (PD) measured on LDCT and MRI were compared.

resultsThe measurements of BV, FV, and PD on LDCT images yield highly consistent results, with the intraclass correlation coefficient of 0.999 for BV, 0.977 for FV, and 0.966 for PD for intraoperator reproducibility, and intraclass correlation coefficient of 0.953 for BV, 0.974 for FV, and 0.973 for PD for interoperator reproducibility. The BV, FV, and PD measured on LDCT and MRI were well correlated (all r ≥ 0.90). Bland-Altman plots showed that a larger BV and FV were measured on LDCT than on MRI.

conclusionsThe preliminary results showed that quantitative breast density can be measured from LDCT, and that our segmentation method could yield a high reproducibility on the measured volume and PD. The results measured on LDCT and MRI were highly correlated. Our results showed that LDCT may provide valuable information about breast density for evaluating breast cancer risk.

Indexed as

AdultAgedAged, 80 and overBreastBreast DensityBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMammographyMiddle AgedRadiation DosageReproducibility of ResultsTomography, X-Ray Computedbreast densitylow dose chest CTmagnetic resonance imaging

Identifiers

PMID27283069
PMCPMC4987249
OpenAlexW2418445620

What OpenQuestion holds

Textmetadata
LicenceTDM
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.