Evidence map›Paper›PMID 28421611›Full record

ArticleMedical physics2017

Breast-density measurement using photon-counting spectral mammography.

Henrik Johansson, Miriam von Tiedemann, Klaus Erhard, Harald Heese, Huanjun Ding, Sabee Molloi, Erik Fredenberg

Abstract read
In one paragraph

Article in Medical physics, 2017. 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.

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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

7 authors.

Henrik JohanssonPhilips Health Systems, Mammography Solutions, Torshamnsgatan 30A, 164 40, Kista, Sweden.
Miriam von TiedemannPhilips Health Systems, Mammography Solutions, Torshamnsgatan 30A, 164 40, Kista, Sweden.
Klaus ErhardPhilips Research, Röntgenstrasse 24-26, 22335, Hamburg, Germany.
Harald HeesePhilips Research, Röntgenstrasse 24-26, 22335, Hamburg, Germany.
Huanjun DingDepartment of Radiological Sciences, University of California, Irvine, CA, 92697, USA.
Sabee MolloiDepartment of Radiological Sciences, University of California, Irvine, CA, 92697, USA.
Erik FredenbergPhilips Health Systems, Mammography Solutions, Torshamnsgatan 30A, 164 40, Kista, Sweden.

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 R01 CA136871
6 · The paper itself

Abstract

purposeTo evaluate a method for measuring breast density using photon-counting spectral mammography. Breast density is an indicator of breast cancer risk and diagnostic accuracy in mammography, and can be used as input to personalized screening, treatment monitoring and dose estimation.

methodsThe measurement method employs the spectral difference in x-ray attenuation between adipose and fibro-glandular tissue, and does not rely on any a priori information. The method was evaluated using phantom measurements on tissue-equivalent material (slabs and breast-shaped phantoms) and using clinical data from a screening population (n=1329). A state-of-the-art nonspectral method for breast-density assessment was used for benchmarking.

resultsThe precision of the spectral method was estimated to be 1.5-1.8 percentage points (pp) breast density. Expected correlations were observed in the screening population for thickness versus breast density, dense volume, breast volume, and compression height. Densities ranged between 4.5% and 99.6%, and exhibited a skewed distribution with a mode of 12.5%, a median of 18.3%, and a mean of 23.7%. The precision of the nonspectral method was estimated to be 2.7-2.8 pp. The major uncertainty of the nonspectral method originated from the thickness estimate, and in particular thin/dense breasts posed problems compared to the spectral method.

conclusionsThe spectral method yielded reasonable results in a screening population with a precision approximately two times that of the nonspectral method, which may improve or enable applications of breast-density measurement on an individual basis such as treatment monitoring and personalized screening.

Indexed as

MammographyPhotonsBreastBreast NeoplasmsHumansMalePhantoms, ImagingX-Raysbreast densitymammographyphoton countingprecisionspectral imaging

Identifiers

PMID28421611
PMCPMC9560776

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.