Evidence map›Paper›PMID 33384464›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2020

High resolution microcalcification signal profiles for dedicated breast CT.

Andrew M Hernandez, Amy E Becker, Su Hyun Lyu, Craig K Abbey, John M Boone

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. 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
–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

0 citing papers in PubMed.

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

5 authors.

Andrew M HernandezDepartment of Radiology, University of California Davis, Sacramento.
Amy E BeckerBiomedical Engineering Graduate Group, University of California Davis.
Su Hyun LyuBiomedical Engineering Graduate Group, University of California Davis.
Craig K AbbeyDepartment of Psychological and Brain Sciences, University of California Santa Barbara.
John M BooneDepartment of Radiology, University of California Davis, Sacramento.

Funding

Breast CT: Final Steps to TranslationR01CA181081 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BOONE, JOHN M · 2015 to 2019
$2.9M
Modeling observer performance in low-dose CT assessmentsR01EB025829 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI ABBEY, CRAIG KENDALL · 2018 to 2021
$1.7M
NCI NIH HHS R01 CA181081NIBIB NIH HHS R01 EB025829
6 · The paper itself

Abstract

This study introduces a methodology for generating high resolution signal profiles of microcalcification (MC) grains for validating breast CT (bCT) systems. A physical MC phantom was constructed by suspending calcium carbonate grains in an agar solution emulating MCs in a fibroglandular tissue background. Additionally, small Teflon spheres (2.4 mm diameter) were embedded in the agar solution for the purpose of fiducial marking and assessment of segmentation accuracy. The MC phantom was imaged on a high resolution (34 μm) commercial small-bore μCT scanner at high dose, and the images were used as the gold-standard for assessing MC size and for generating high resolution signal profiles of each MC. High-dose bCT scans of the MC phantom suspended in-air were acquired using 1 × 1 binning mode (75 μm dexel pitch) by averaging three repeat scans to produce a single low-noise reconstruction of the MC phantom. The high resolution μCT volume data set was then registered with the corresponding bCT data set after correcting for the bCT system spatial resolution. Microcalcification signal profiles constructed using low-noise bCT images were found to be in good agreement with those generated using the μCT scanner with all differences < 10% within the VOI surrounding each MC. The MC signal profiles were used as detection templates for a non-prewhitening-matched-filter model observer for scans acquired in a realistic breast phantom at 3, 6, and 9 mGy mean glandular dose. MC detectability using signal templates derived from bCT were shown to be in good agreement with those generated using μCT.

Indexed as

breast cancerbreast CTmicrocalcificationmicro-CT

Identifiers

PMID33384464
PMCPMC7773011

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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.