Evidence map›Paper›PMID 36427332›Full record

ArticleMedical physics2023

Dedicated cone-beam breast CT: Data acquisition strategies based on projection angle-dependent normalized glandular dose coefficients.

Hsin Wu Tseng, Andrew Karellas, Srinivasan Vedantham

Abstract read
In one paragraph

Article in Medical physics, 2023. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Hsin Wu TsengDepartment of Medical Imaging, The University of Arizona, Tucson, Arizona, USA.
Andrew KarellasDepartment of Medical Imaging, The University of Arizona, Tucson, Arizona, USA.
Srinivasan VedanthamDepartment of Medical Imaging, The University of Arizona, Tucson, Arizona, USA.

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
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 CA199044NCI NIH HHS R01 CA241709NCI NIH HHS R21 CA134128
6 · The paper itself

Abstract

backgroundDedicated cone-beam breast computed tomography (CBBCT) using short-scan acquisition is being actively investigated to potentially reduce the radiation dose to the breast. This would require determining the optimal x-ray source trajectory for such short-scan acquisition. PURPOSE: To quantify the projection angle-dependent normalized glandular dose coefficient ( MATERIALS AND

methodsA cohort of 75 CBBCT clinical datasets was segmented and used to generate three breast models - (I) patient-specific breast with heterogeneous fibroglandular tissue distribution and real breast shape, (II) patient-specific breast shape with homogeneous tissue distribution and matched fibroglandular weight fraction, and (III) homogeneous semi-ellipsoidal breast with patient-specific breast dimensions and matched fibroglandular weight fraction, which corresponds to the breast model used in current radiation dosimetry protocols. For each clinical dataset, the angular

resultsThe theoretical model predicted that the angular

conclusionThe heterogeneous tissue distribution affected the angular

Indexed as

BreastMammographyCone-Beam Computed TomographyHumansMonte Carlo MethodPhantoms, ImagingRadiation DosageRadiometrybreast cancercone-beam breast CTmean glandular doseMonte Carlo simulationsradiation dose

Identifiers

PMID36427332
PMCPMC10207937

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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.