Evidence map›Paper›PMID 42436350›Full record

Article3D printing in medicine2026

Design and measurement of 3D-printed variable-morphology and variable-density breast phantoms for mammography and breast CT dose assessment.

Catherine Paverd, Gianluca Piol, Davide Cester

Abstract read
In one paragraph

Article in 3D printing in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Catherine PaverdInstitute for Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, Zurich, 8091, Switzerland. catherinemary.paverd@usz.ch.
Gianluca PiolUniversity of Zurich, Rämistrasse 71, Zurich, 8006, Switzerland.
Davide CesterInstitute for Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, Zurich, 8091, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate dose quantification across radiation-based breast imaging techniques is important for patient safety, but currently available phantoms do not easily allow the assessment of the impact of breast size and density across modalities. Here we design, produce, and validate three dimensional (3D)-printed, variable-morphology, fillable phantoms for the purpose of radiation dose measurements and comparison studies. Three representative breast shapes (small, medium, large) were exported from real Breast Computed Tomography (BCT) data. Corresponding compressed shapes were generated following the Virtual Imaging Clinical Trials for Regulatory Evaluation (VICTRE) pipeline, in which morphology is controlled through 10 separate length and deformation parameters, optimized to match uncompressed phantom volumes. Surface models of each shape were printed using a 3D printer (Stratasys F370-3D, alphacam GmbH). Four mixtures, representative of Breast Imaging-Reporting and Data System (BI-RADS) categories A-D, were prepared using varying ratios of 1.5% agarose gel (agar), rapeseed oil, and soy lecithin, poured into the printed surface models, and set overnight at [Formula: see text]C. Pre-calibrated dosimeters were placed on the irradiated surface of each phantom to measure Entrance Surface Dose (ESD). Compressed phantoms in all sizes and densities were successfully measured in a mammography device (Senographe Essential, GE Healthcare, DE). Uncompressed phantoms in all sizes and in three of the four densities were successfully measured in a BCT device (nu:view, Advanced Breast-CT). Measured ESD matched the values obtained with Monte Carlo simulations; for the unit equipped with automatic exposure control, the ESD increased with increasing breast size and with increasing breast density, confirming the known correlation between thickness, density, and ESD and validating the capabilities of the proposed phantoms to represent breasts with real physical properties.

Indexed as

3D-Printed phantomsBreast computed tomographyMammographyMonte carlo simulationRadiation protection

Identifiers

PMID42436350
PMCPMC13374221

What OpenQuestion holds

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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.