Evidence map›Paper›PMID 27841341›Full record

ArticleScientific reports2016

Improved Diagnostics by Assessing the Micromorphology of Breast Calcifications via X-Ray Dark-Field Radiography.

Kai Scherer, Eva Braig, Sebastian Ehn, Jonathan Schock, Johannes Wolf, Lorenz Birnbacher, Michael Chabior, Julia Herzen, Doris Mayr, Susanne Grandl and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

13 authors.

Kai SchererDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Eva BraigDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Sebastian EhnDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Jonathan SchockDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Johannes WolfDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Lorenz BirnbacherDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Michael ChabiorDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Julia HerzenDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.
Doris MayrDepartment of Pathology, Ludwig Maximilian University, Thalkirchner Straße, Munich, Germany.
Susanne GrandlDepartment of Clinical Radiology, Ludwig Maximilian Universität, Marchioninistraße, Munich, Germany.
Anikó Sztrókay-GaulDepartment of Clinical Radiology, Ludwig Maximilian Universität, Marchioninistraße, Munich, Germany.
Karin HellerhoffDepartment of Clinical Radiology, Ludwig Maximilian Universität, Marchioninistraße, Munich, Germany.
Franz PfeifferDepartment of Physics and Institute of Medical Engineering, Technische Universität München, James-Frank-Straße, Garching, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast microcalcifications play an essential role in the detection and evaluation of early breast cancer in clinical diagnostics. However, in digital mammography, microcalcifications are merely graded with respect to their global appearance within the mammogram, while their interior microstructure remains spatially unresolved and therefore not considered in cancer risk stratification. In this article, we exploit the sub-pixel resolution sensitivity of X-ray dark-field contrast for clinical microcalcification assessment. We demonstrate that the micromorphology, rather than chemical composition of microcalcification clusters (as hypothesised by recent literature), determines their absorption and small-angle scattering characteristics. We show that a quantitative classification of the inherent microstructure as ultra-fine, fine, pleomorphic and coarse textured is possible. Insights underlying the micromorphological nature of breast calcifications are verified by comprehensive high-resolution micro-CT measurements. We test the determined microtexture of microcalcifications as an indicator for malignancy and demonstrate its potential to improve breast cancer diagnosis, by providing a non-invasive tool for sub-resolution microcalcification assessment. Our results indicate that dark-field imaging of microcalcifications may enhance the diagnostic validity of current microcalcification analysis and reduce the number of invasive procedures.

Indexed as

BreastBreast NeoplasmsCalcinosisFemaleHumansMammographyX-Ray Microtomography

Identifiers

PMID27841341
PMCPMC5107908

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.