Evidence map›Paper›PMID 33304617›Full record

ArticleBiomedical physics & engineering express2019

Visualizing microcalcifications in lumpectomy specimens: an exploration into the clinical potential of carbon nanotube-enabled

Connor Puett, Jenny Gao, Andrew Tucker, Christina R Inscoe, Michael Hwang, Cherie M Kuzmiak, Jianping Lu, Otto Zhou, Yueh Z Lee

Open access · greenAbstract read
In one paragraph

Article in Biomedical physics & engineering express, 2019. 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
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Connor PuettUNC/NCSU Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States of America.ORCID 0000-0001-7994-7165
Jenny GaoUNC/NCSU Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States of America.
Andrew TuckerUNC/NCSU Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States of America.
Christina R InscoeDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.ORCID 0000-0001-8681-9030
Michael HwangDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States of America.
Cherie M KuzmiakDepartment of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States of America.
Jianping LuDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.
Otto ZhouDepartment of Physics and Astronomy, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.
Yueh Z LeeUNC/NCSU Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States of America.ORCID 0000-0003-1846-7680
University of North Carolina at Chapel Hill · US

Funding

Translational Nanosystems for Improved Lung Cancer Treatment with Small MoleculesU54CA151652 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESIMONE, JOSEPH M. · 2010 to 2014
$12.1M
Improved cancer screening with synthetic and stationary 3D mammographyF30CA235892 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PUETT, ANDREW CONNOR · 2019 to 2022
$156k
NCI NIH HHS F30 CA235892NCI NIH HHS U54 CA151652
6 · The paper itself

Abstract

purposeTo assess the visibility of microcalcifications in images generated by a first-generation carbon-nanotube (CNT)-enabled

methodsLumpectomy specimens were imaged by magnified mammography and two 3D mammography approaches, including sDBT and moving-source DBT. The planar size of individual microcalcifications was measured in the reconstructed image stacks of sDBT and moving-source DBT and compared to the magnified mammography image. An artifact spread function (ASF) was used to assess the depth dimensions of the microcalcifications displayed through the reconstructed image stacks. Breast-imaging specialists rated their preference for one imaging modality over another when interpreting microcalcifications in the magnified mammography image and synthetic slab images from sDBT and moving-source DBT.

resultsThe planar size of individual microcalcifications was similar in images generated by sDBT and moving-source DBT when the sDBT projections were binned to match the pixel size used by the moving-source DBT system. However, the unique structure of sDBT allowed for a wider-angle span of projection views and operation of the detector in full-resolution mode without significantly compromising the scan time. In this configuration, the planar sizes of individual microcalcifications displayed by sDBT was more similar to magnified mammography than moving-source DBT, and the microcalcifications had a narrower ASF through depth. Readers preferred sDBT over moving-source DBT when assessing microcalcifications in synthetic slab images, although magnified mammography was rated highest overall.

conclusionsThe sDBT system displayed microcalcifications as well as conventional, moving-source DBT when the effective pixel size of the detector was matched. However, with the detector in its full-resolution mode, sDBT displayed microcalcifications with greater clarity. Readers still preferred images generated by magnified mammography over both 3D mammography approaches. This finding is guiding continued hardware and software development to optimize the sDBT technology.

Indexed as

3D mammographybreast specimensDBTmagnified mammographymicrocalcificationsstationary digital breast tomosynthesis

Identifiers

PMID33304617
PMCPMC7725271
OpenAlexW2957518746

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.