Evidence map›Paper›PMID 40137565›Full record

ArticleTomography (Ann Arbor, Mich.)2025

A Novel Phantom for Standardized Microcalcification Detection Developed Using a Crystalline Growth System.

Dee H Wu, Caroline Preskitt, Natalie Stratemeier, Hunter Lau, Sreeja Ponnam, Supriya Koya

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Dee H WuUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.ORCID 0000-0002-2737-813X
Caroline PreskittUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Natalie StratemeierUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Hunter LauUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Sreeja PonnamKansas City School of Medicine, University of Missouri, Kansas City, MO 64108, USA.
Supriya KoyaUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe accurate detection of microcalcifications in mammograms is critical for the early detection of breast cancer. However, the variability between different manufacturers is significant, particularly with digital breast tomosynthesis (DBT). Manufacturers have many design differences, including sweep angles, detector types, reconstruction techniques, filters, and focal spot construction. This study outlined the development of an innovative phantom model using crystallizations to improve the accuracy of imaging microcalcifications in DBT. The goal of these models was to achieve consistent evaluations, thereby reducing the variability between different scanners.

methodsWe created a novel phantom model that simulates different types of breast tissue densities with calcifications. Furthermore, these crystalline-grown phantoms can more accurately represent the physiological shapes and compositions of microcalcifications than do other available phantoms for calcifications and can be evaluated on different systems. Microcalcification patterns were generated using the evaporation of sodium chloride, transplantation of calcium carbonate crystals, and/or injection of hydroxyapatite. These patterns were embedded in multiple layers within the wax to simulate various depths and distributions of calcifications with the ability to generate a large variety of patterns.

resultsThe tomosynthesis imaging revealed phantoms that utilized calcium carbonate crystals showed demonstrable visualization differences between the 3D DBT reconstructions and the magnification/2D view, illustrating the model's value. The phantom was able to highlight changes in the contrast and resolution, which is crucial for accurate microcalcification evaluation.

conclusionsBased on the crystalline growth, this phantom model offers an important new standardized target for evaluating DBT systems. By promoting standardization, especially through the development of advanced breast calcification phantoms, this work and design aimed to contribute to improving earlier and more accurate breast cancer detection.

Indexed as

Breast NeoplasmsCalcinosisMammographyPhantoms, ImagingCalcium CarbonateCrystallizationFemaleHumansCalcium Carbonatediagnostic accuracydigital breast tomosynthesis (DBT)microcalcificationsphantom modelsstandardization

Identifiers

PMID40137565
PMCPMC11945459

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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.