Evidence map›Paper›PMID 26031229›Full record

ArticleAcademic radiology2015

Breast density evaluation using spectral mammography, radiologist reader assessment, and segmentation techniques: a retrospective study based on left and right breast comparison.

Sabee Molloi, Huanjun Ding, Stephen Feig

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Academic radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

3 authors.

Sabee MolloiDepartment of Radiological Sciences, University of California, Medical Sciences I, B-140, Irvine, CA 92697. Electronic address: symolloi@uci.edu.
Huanjun DingDepartment of Radiological Sciences, University of California, Medical Sciences I, B-140, Irvine, CA 92697.
Stephen FeigDepartment of Radiological Sciences, University of California, Medical Sciences I, B-140, Irvine, CA 92697.

Funding

Quantification of breast density using dual energy mammographyR01CA136871 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOLLOI, SABEE · 2009 to 2013
$1.3M
NCI NIH HHS R01CA13687NCI NIH HHS R01 CA136871
6 · The paper itself

Abstract

RATIONALE AND

objectivesThe purpose of this study was to compare the precision of mammographic breast density measurement using radiologist reader assessment, histogram threshold segmentation, fuzzy C-mean segmentation, and spectral material decomposition. MATERIALS AND

methodsSpectral mammography images from a total of 92 consecutive asymptomatic women (aged 50-69 years) who presented for annual screening mammography were retrospectively analyzed for this study. Breast density was estimated using 10 radiologist reader assessment, standard histogram thresholding, fuzzy C-mean algorithm, and spectral material decomposition. The breast density correlation between left and right breasts was used to assess the precision of these techniques to measure breast composition relative to dual-energy material decomposition.

resultsIn comparison to the other techniques, the results of breast density measurements using dual-energy material decomposition showed the highest correlation. The relative standard error of estimate for breast density measurements from left and right breasts using radiologist reader assessment, standard histogram thresholding, fuzzy C-mean algorithm, and dual-energy material decomposition was calculated to be 1.95, 2.87, 2.07, and 1.00, respectively.

conclusionsThe results indicate that the precision of dual-energy material decomposition was approximately factor of two higher than the other techniques with regard to better correlation of breast density measurements from right and left breasts.

Indexed as

Absorptiometry, PhotonAgedAlgorithmsFemaleHumansMachine LearningMammographyMiddle AgedObserver VariationPattern Recognition, AutomatedRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueUnilateral Breast Neoplasmsbreast densitybreast imagingcancerdual-energyMammography

Identifiers

PMID26031229
PMCPMC4515382

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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.