Evidence map›Paper›PMID 42560087›Full record

ArticleJournal of applied clinical medical physics2026

Impact of dopants on X‑ray attenuation of 3D‑printed polymers for mammography and tomosynthesis spectra.

Adrián Belarra, Irene Hernández-Girón, María Castillo-García, Peter Homolka, Margarita Chevalier

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. 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

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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.

Adrián BelarraMedical Physics, Radiology and Rehabilitation Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0002-3416-1633
Irene Hernández-GirónSchool of Physics, University College Dublin (UCD), Dublin, Ireland.
María Castillo-GarcíaMedical Physics, Radiology and Rehabilitation Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Peter HomolkaCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Margarita ChevalierMedical Physics, Radiology and Rehabilitation Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.

Funding

Spanish Ministry of Science and Innovation PID 2021-123390OB-C21Spanish Ministry of Science and Innovation PID 2021-123390OB-C22
6 · The paper itself

Abstract

background3D-printing enables the production of anthropomorphic breast phantoms for assessing image quality in digital mammography (DM) and breast tomosynthesis (DBT). 3D-printing materials must be selected carefully to mimic breast tissue attenuation for clinical spectra. PURPOSE: This study investigates the impact on the effective X-ray attenuation coefficient (µ

methodsFive base polymers (PLA, ABS, PETG, HIPS, RESIN) were selected among the catalogue of five manufacturers. A collection of nineteen variants (base polymer + color) was 3D-printed as step-wedges with thicknesses (t) from 0.5 to 5.5 cm and imaged on a clinical mammography system (DM: W/Rh with the anti-scatter grid, DBT: W/Al without grid, at 27, 29 and 31 kVp). The µ

resultsFor all acquisition conditions, some color variants of 3D-printed materials with the same base polymer exhibit noticeable differences in µ

conclusion3D-printed materials sharing the same polymer base can exhibit substantially different attenuation for DM/DBT spectra, resulting in different BR equivalences due to formulation variations (e.g., pigments and dopants). Therefore, phantom developers should not rely solely on base polymer designations and declared density when selecting materials for production of breast phantoms; instead, the attenuation of each specific formulation needs to be verified and periodically re-evaluated under the intended mammography conditions.

Indexed as

Breast NeoplasmsImage Processing, Computer-AssistedMammographyPhantoms, ImagingPolymersPrinting, Three-DimensionalFemaleHumansX-RaysPolymers3D‐printingdigital breast tomosynthesisdigital mammographyeffective attenuation coefficients

Identifiers

PMID42560087
PMCPMC13446021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.