Evidence map›Paper›PMID 27003308›Full record

ArticlePloS one2016

Quantitative Three-Dimensional Imaging of Lipid, Protein, and Water Contents via X-Ray Phase-Contrast Tomography.

Marian Willner, Manuel Viermetz, Mathias Marschner, Kai Scherer, Christian Braun, Alexander Fingerle, Peter Noël, Ernst Rummeny, Franz Pfeiffer, Julia Herzen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
    Review
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

10 authors at 3 institutions in 1 country.

Marian WillnerDepartment of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany.
Manuel ViermetzDepartment of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany.
Mathias MarschnerDepartment of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany.
Kai SchererDepartment of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany.
Christian BraunInstitute of Forensic Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.
Alexander FingerleDepartment of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany.
Peter NoëlDepartment of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany.
Ernst RummenyDepartment of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany.
Franz PfeifferDepartment of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany.
Julia HerzenDepartment of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany.
Technical University of Munich · DEKlinikum rechts der Isar · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray phase-contrast computed tomography is an emerging imaging technology with powerful capabilities for three-dimensional (3D) visualization of weakly absorbing objects such as biological soft tissues. This technique is an extension of existing X-ray applications because conventional attenuation-contrast images are simultaneously acquired. The complementary information provided by both the contrast modalities suggests that enhanced material characterization is possible when performing combined data analysis. In this study, we describe how protein, lipid, and water concentrations in each 3D voxel can be quantified by vector decomposition. Experimental results of dairy products, porcine fat and rind, and different human soft tissue types are presented. The results demonstrate the potential of phase-contrast imaging as a new analysis tool. The 3D representations of protein, lipid, and water contents open up new opportunities in the fields of biology, medicine, and food science.

Indexed as

AnimalsConnective TissueDairy ProductsHumansImaging, Three-DimensionalLipidsPhantoms, ImagingProteinsRed MeatSwineTomography, X-Ray ComputedWaterLipidsProteinsWater

Identifiers

PMID27003308
PMCPMC4803315
OpenAlexW2305158751

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.