Evidence map›Paper›PMID 35316793›Full record

ArticlePhysics in medicine and biology2022

Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.

Hsin Wu Tseng, Andrew Karellas, Srinivasan Vedantham

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. 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

3 authors at 2 institutions in 1 country.

Hsin Wu TsengDepartment of Medical Imaging, The University of Arizona, Tucson, AZ, United States of America.
Andrew KarellasDepartment of Medical Imaging, The University of Arizona, Tucson, AZ, United States of America.ORCID 0000-0002-5877-3677
Srinivasan VedanthamDepartment of Medical Imaging, The University of Arizona, Tucson, AZ, United States of America.ORCID 0000-0003-4123-8392
Banner - University Medical Center Tucson · USUniversity of Arizona · US

Funding

Towards screening with high-resolution, low-dose, dedicated breast CTR01CA199044 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SRINIVASAN VEDANTHAM · 2016 to 2026
$6.1M
Upright, Low-dose, High-resolution, 3D Breast CTR01CA241709 · NCI · UNIVERSITY OF ARIZONA · PI VEDANTHAM, SRINIVASAN · 2019 to 2023
$3.6M
Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CTR01CA195512 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI VEDANTHAM, SRINIVASAN · 2015 to 2017
$757k
Role of 3D Tomography in Breast CancerR21CA134128 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GLICK, STEPHEN J, KARELLAS, ANDREW · 2009 to 2010
$723k
NCI NIH HHS R01 CA195512NCI NIH HHS R01 CA199044NCI NIH HHS R01 CA241709NCI NIH HHS R21 CA134128
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsCone-Beam Computed TomographyImage Processing, Computer-AssistedPhantoms, ImagingRetrospective Studiesbreast CTcone-beam CTimage qualityiterative reconstructionoffset detector

Identifiers

PMID35316793
PMCPMC9045275
OpenAlexW4220954015

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.