Evidence map›Paper›PMID 32845386›Full record

ArticleEuropean radiology2021

Quantification of water and lipid density with dual-energy mammography: validation in postmortem breasts.

Sabee Molloi, Huanjun Ding, Hyo-Min Cho, Daniel Beidokhti

Abstract read
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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Sabee MolloiDepartment of Radiological Sciences, University of California, Irvine, Medical Sciences B, 140, Irvine, CA, 92697, USA. symolloi@hs.uci.edu.
Huanjun DingDepartment of Radiological Sciences, University of California, Irvine, Medical Sciences B, 140, Irvine, CA, 92697, USA.
Hyo-Min ChoDepartment of Radiological Sciences, University of California, Irvine, Medical Sciences B, 140, Irvine, CA, 92697, USA.
Daniel BeidokhtiDepartment of Radiological Sciences, University of California, Irvine, Medical Sciences B, 140, Irvine, CA, 92697, USA.
University of California, Irvine · US

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

objectivesBreast cancer is the most common cancer in women and the second leading cause of cancer death. It is well known that breast density is an important risk factor for breast cancer and also can be used to personalize screening and for assessment of treatment response. Breast density has previously been correlated to volumetric water density. The purpose of this study is to validate the accuracy and precision of dual-energy mammography in measuring water density in postmortem breasts.

methodsTwenty pairs of postmortem breasts were imaged using dual-energy mammography with energy-sensitive photon-counting detectors. Chemical analysis was used as the reference standard to assess the accuracy of dual-energy mammography in measuring volumetric water and lipid density. Images from different views and contralateral breasts were used to assess estimate of precision for water and lipid volumetric density measurements.

resultsThe measured volumetric water and lipid density from dual-energy mammography and chemical analysis were in good agreement, where the standard errors of estimates (SEE) of both were calculated to be 2.1%. Volumetric water and lipid density measurements from different views were also in good agreement, with a SEE of 1.3% and 1.1%, respectively.

conclusionsThe results indicate that dual-energy mammography can be used to accurately measure volumetric water and lipid density in breast tissue. Accurate quantification of volumetric water density is expected to enhance its utility as a risk factor for breast cancer and for assessment of response to therapy. KEY POINTS: • Dual-energy mammography can be used to accurately measure water and lipid volumetric density in breast tissue. • Improved quantification of volumetric water density is expected to enhance its utility for assessment of response to therapy and as a risk factor for breast cancer.

Indexed as

Breast NeoplasmsWaterBreastBreast DensityFemaleHumansLipidsMammographyLipidsWaterBreast densityCancerMammography

Identifiers

PMID32845386
OpenAlexW3080990675

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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.