Evidence map›Paper›PMID 28379851›Full record

ArticlePhysics in medicine and biology2017

Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios.

Muhammad U Ghani, Molly D Wong, Di Wu, Bin Zheng, Laurie L Fajardo, Aimin Yan, Janis Fuh, Xizeng Wu, Hong Liu

Abstract readComparative Study
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2018
    Article
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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

9 authors.

Muhammad U GhaniCenter for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Molly D WongCenter for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Di WuCenter for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Bin ZhengCenter for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Laurie L FajardoDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States of America.
Aimin YanDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35249, United States of America.
Janis FuhDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35249, United States of America.
Xizeng WuDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35249, United States of America.
Hong LiuCenter for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.

Funding

Clinical Translation of High Energy Phase-Sensitive X-ray Breast TomosynthesisR01CA193378 · NCI · UNIVERSITY OF OKLAHOMA · PI FAJARDO, LAURIE L, JING, ZHENXUE · 2015 to 2019
$3.0M
NCI NIH HHS R01 CA193378
6 · The paper itself

Abstract

The objective of this study was to demonstrate the potential benefits of using high energy x-rays in comparison with the conventional mammography imaging systems for phase sensitive imaging of breast tissues with varying glandular-adipose ratios. This study employed two modular phantoms simulating the glandular (G) and adipose (A) breast tissue composition in 50 G-50 A and 70 G-30 A percentage densities. Each phantom had a thickness of 5 cm with a contrast detail test pattern embedded in the middle. For both phantoms, the phase contrast images were acquired using a micro-focus x-ray source operated at 120 kVp and 4.5 mAs, with a magnification factor (M) of 2.5 and a detector with a 50 µm pixel pitch. The mean glandular dose delivered to the 50 G-50 A and 70 G-30 A phantom sets were 1.33 and 1.3 mGy, respectively. A phase retrieval algorithm based on the phase attenuation duality that required only a single phase contrast image was applied. Conventional low energy mammography images were acquired using GE Senographe DS and Hologic Selenia systems utilizing their automatic exposure control (AEC) settings. In addition, the automatic contrast mode (CNT) was also used for the acquisition with the GE system. The AEC mode applied higher dose settings for the 70 G-30 A phantom set. As compared to the phase contrast images, the dose levels for the AEC mode acquired images were similar while the dose levels for the CNT mode were almost double. The observer study, contrast-to-noise ratio and figure of merit comparisons indicated a large improvement with the phase retrieved images in comparison to the AEC mode images acquired with the clinical systems for both density levels. As the glandular composition increased, the detectability of smaller discs decreased with the clinical systems, particularly with the GE system, even at higher dose settings. As compared to the CNT mode (double dose) images, the observer study also indicated that the phase retrieved images provided similar or improved detection for all disc sizes except for the disk diameters of 2 mm and 1 mm for the 50 G-50 A phantom and 3 mm and 0.5 mm for the 70 G-30 A phantom. This study demonstrated the potential of utilizing a high energy phase sensitive x-ray imaging system to improve lesion detection and reduce radiation dose when imaging breast tissues with varying glandular compositions.

Indexed as

Adipose TissueHumansMammary Glands, HumanMammographyPhantoms, ImagingRadiographic Image Enhancement

Identifiers

PMID28379851
PMCPMC5673096

What OpenQuestion holds

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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.