Evidence map›Paper›PMID 28331884›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2017

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification.

Manu N Lakshmanan, Joel A Greenberg, Ehsan Samei, Anuj J Kapadia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2017. 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
–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

0 citing papers in PubMed.

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.

Manu N LakshmananNational Institutes of Health Clinical Center , Department of Radiology and Imaging Sciences, Bethesda, Maryland, United States.
Joel A GreenbergDuke University , Department of Electrical and Computer Engineering, Durham, North Carolina, United States.
Ehsan SameiDuke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States; Duke University Medical Center, Ravin Advanced Imaging Labs, Durham, North Carolina, United States; Duke University, Department of Physics, Durham, North Carolina, United States.
Anuj J KapadiaDuke University Medical Center, Ravin Advanced Imaging Labs, Durham, North Carolina, United States; Duke University, Department of Physics, Durham, North Carolina, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although transmission-based x-ray imaging is the most commonly used imaging approach for breast cancer detection, it exhibits false negative rates higher than 15%. To improve cancer detection accuracy, x-ray coherent scatter computed tomography (CSCT) has been explored to potentially detect cancer with greater consistency. However, the 10-min scan duration of CSCT limits its possible clinical applications. The coded aperture coherent scatter spectral imaging (CACSSI) technique has been shown to reduce scan time through enabling single-angle imaging while providing high detection accuracy. Here, we use Monte Carlo simulations to test analytical optimization studies of the CACSSI technique, specifically for detecting cancer in

Indexed as

breast cancercharacterizationcoded aperturereceiver-operator characteristicsx-ray coherent scatter imaging

Identifiers

PMID28331884
PMCPMC5339450

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.