Evidence map›Paper›PMID 39203643›Full record

ArticleMicromachines2024

Customization of Computed Tomography Radio-Opacity in 3D-Printed Contrast-Injectable Tumor Phantoms.

Yuktesh Kalidindi, Aravinda Krishna Ganapathy, Liam Cunningham, Adriene Lovato, Brian Albers, Anup S Shetty, David H Ballard

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

7 authors.

Yuktesh KalidindiSchool of Medicine, Saint Louis University, St. Louis, MO 63104, USA.
Aravinda Krishna GanapathySchool of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0002-9023-1683
Liam CunninghamSchool of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.ORCID 0009-0002-0647-9625
Adriene LovatoMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Brian AlbersSt. Louis Children's Hospital Medical 3D Printing Center, BJC HealthCare, St. Louis, MO 63110, USA.
Anup S ShettyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0001-7470-3364

Funding

Training OPportunities in Translational Imaging Education and Research (TOP-TIER)T32EB021955 · NIBIB · WASHINGTON UNIVERSITY · PI Hongyu An, Joseph Edward Ippolito · 2017 to 2026
$2.4M
NIBIB NIH HHS T32 EB021955
6 · The paper itself

Abstract

Medical Imaging Phantoms (MIPs) calibrate imaging devices, train medical professionals, and can help procedural planning. Traditional MIPs are costly and limited in customization. Additive manufacturing allows for customizable, patient-specific phantoms. This study examines the CT attenuation characteristics of contrast-injectable, chambered 3D-printed phantoms to optimize tissue-mimicking capabilities. A MIP was constructed from a CT of a complex pelvic tumor near the iliac bifurcation. A 3D reconstruction of these structures composed of three chambers (aorta, inferior vena cava, tumor) with ports for contrast injection was 3D printed. Desired attenuations were 200 HU (arterial I), 150 HU (venous I), 40 HU (tumor I), 150 HU (arterial II), 90 HU (venous II), and 400 HU (tumor II). Solutions of Optiray 350 and water were injected, and the phantom was scanned on CT. Attenuations were measured using ROIs. Mean attenuation for the six phases was as follows: 37.49 HU for tumor I, 200.50 HU for venous I, 227.92 HU for arterial I, 326.20 HU for tumor II, 91.32 HU for venous II, and 132.08 HU for arterial II. Although the percent differences between observed and goal attenuation were high, the observed relative HU differences between phases were similar to goal HU differences. The observed attenuations reflected the relative concentrations of contrast solutions used, exhibiting a strong positive correlation with contrast concentration. The contrast-injectable tumor phantom exhibited a useful physiologic range of attenuation values, enabling the modification of tissue-mimicking 3D-printed phantoms even after the manufacturing process.

Indexed as

3D printingattenuationcomputer tomographycontrastmedical imaging phantoms

Identifiers

PMID39203643
PMCPMC11356228

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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.