Evidence map›Paper›PMID 34633295›Full record

ArticlePhysics in medicine and biology2021

A phase sensitive x-ray breast tomosynthesis system: Preliminary patient images with cancer lesions.

Muhammad U Ghani, Laurie L Fajardo, Farid Omoumi, Aimin Yan, Peter Jenkins, Molly Wong, Yuhua Li, Michael E Peterson, Edward J Callahan, Stephen L Hillis and 3 more

Open access · greenAbstract readLetter
In one paragraph

Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 4 institutions in 1 country.

Muhammad U GhaniAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.ORCID 0000-0002-3308-0989
Laurie L FajardoDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States of America.
Farid OmoumiAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.ORCID 0000-0003-1956-0879
Aimin YanAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Peter JenkinsDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States of America.
Molly WongAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Yuhua LiAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Michael E PetersonDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States of America.
Edward J CallahanDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States of America.
Stephen L HillisDepartments of Radiology and Biostatistics, University of Iowa, Iowa City, IA 52242, United States of America.
Bin ZhengAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Xizeng WuDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35249, United States of America.
Hong LiuAdvanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, United States of America.
Advanced Imaging Research (United States) · USUniversity of Utah · USUniversity of Alabama at Birmingham · USUniversity of Iowa · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
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
A Novel Low Dose and Accurate Phase Sensitive Breast Tomosynthesis (PBT) System based on Photon Counting Detector Technology for Cancer ImagingF32CA250300 · NCI · UNIVERSITY OF OKLAHOMA · PI GHANI, MUHAMMAD U · 2020 to 2021
$116k
NCATS NIH HHS UL1 TR002538NCI NIH HHS F32 CA250300NCI NIH HHS R01 CA193378
6 · The paper itself

Abstract

Phase-sensitive x-ray imaging continues to attract research for its ability to visualize weakly absorbing details like those often encountered in biology and medicine. We have developed and assembled the first inline-based high-energy phase sensitive breast tomosynthesis (PBT) system, which is currently undergoing patient imaging testing at a clinical site. The PBT system consists of a microfocus polychromatic x-ray source and a direct conversion-based flat panel detector coated with a 1 mm thick amorphous selenium layer allowing a high detective quantum efficiency at high energies. The PBT system scans a compressed breast over 15° with 9 angular projection views. The high-energy scan parameters are carefully selected to ensure similar or lower mean glandular dose levels to the clinical standard of care systems. Phase retrieval and data binning are applied to the phase contrast angular projection views and a filtered back-projection algorithm is used to reconstruct the final images. This article reports the distributions of radiation dose versus thickness of the compressed breasts at 59 and 89 kV and sample PBT images acquired from 3 patients. Preliminary PBT images demonstrate the feasibility of this new imaging modality to acquire breast images at lower radiation dose as compared to the clinical digital breast tomosynthesis system with enhanced lesion characteristics (i.e. lesion spiculation and margins).

Indexed as

Breast NeoplasmsNeoplasmsBreastFemaleHumansMammographyPhantoms, ImagingRadiographic Image EnhancementX-Raysbreast imaginghigh energy x-rayspatient imagesphase contrast imagingphase retrievaltomosynthesis

Identifiers

PMID34633295
PMCPMC8635279
OpenAlexW3206303417

What OpenQuestion holds

Textmetadata
LicenceTDM
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.