Evidence map›Paper›PMID 41727607›Full record

ArticleResearch square2026

Development and Radiological Evaluation of 3D-Printed Patient-Specific Lung Phantoms: From CT Imaging to 3D Modeling and Material Characterization.

Ahmed M Mortada, Jaidev Chakka, Yu Zhang, Alaa Y Darwesh, Ayman Mokhtar Said, Sebastian John Adams, Mona H Ibrahim, Tarek Mohsen, Mohammed Maniruzzaman

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

9 authors.

Ahmed M MortadaPharmaceutical Engineering and 3D Printing (PharmE3D) Lab, Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, MS 38677, USA.
Jaidev ChakkaPharmaceutical Engineering and 3D Printing (PharmE3D) Lab, Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, MS 38677, USA.
Yu ZhangPharmaceutical Engineering and 3D Printing (PharmE3D) Lab, Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, MS 38677, USA.
Alaa Y DarweshPharmaceutical Engineering and 3D Printing (PharmE3D) Lab, Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, MS 38677, USA.
Ayman Mokhtar SaidDepartment of Radiology at Urology and Nephrology Center, Faculty of Medicine, Mansoura University, Egypt.
Sebastian John AdamsDepartment of Biomolecular Sciences, University of Mississippi, Oxford, MS 38677, USA.
Mona H IbrahimDepartment of Physics, Faculty of Science, Zagazig University, 44516, Sharqia, Egypt.
Tarek MohsenDepartment of Radiology at Urology and Nephrology Center, Faculty of Medicine, Mansoura University, Egypt.
Mohammed ManiruzzamanPharmaceutical Engineering and 3D Printing (PharmE3D) Lab, Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, MS 38677, USA.

Funding

Tracking Glycosylation State with Fluorinated Glycosides ProbesP20GM130460 · NIGMS · UNIVERSITY OF MISSISSIPPI · PI Joshua S Sharp · 2020 to 2026
$17.9M
NIGMS NIH HHS P20 GM130460
6 · The paper itself

Abstract

This proof-of-concept study evaluates the ability of three-dimensional printed lung phantoms to reproduce subtle pulmonary features relevant to medical imaging. An integrated workflow was developed for the fabrication and evaluation of patient-specific lung phantoms derived from high-resolution computed tomography, with emphasis on ground-glass opacities. De-identified HRCT datasets were segmented to generate both volumetric anthropomorphic lung models and standardized slim coronal phantoms, supporting reproducible imaging evaluation while reducing reliance on repeat clinical scans. The phantoms were fabricated at reduced scale using stereolithography and fused deposition modeling. Radiographic evaluation revealed clear fabrication-dependent imaging behavior. SLA phantoms exhibited smooth, isotropic microstructures and uniform grayscale response, enabling enhanced visualization of peripheral lung regions. In contrast, FDM phantoms demonstrated layered, porous architectures that produced lung-equivalent attenuation and scatter characteristics representative of pulmonary parenchyma. Quantitative grayscale analysis identified systematic differences in attenuation between fabrication methods, reflecting variations in material density and microstructural organization. Slim phantoms provided highly reproducible platforms suitable for quality assurance and quality control applications, whereas anthropomorphic phantoms preserved patient-specific anatomical detail relevant for diagnostic validation and training. Overall, this study demonstrates that phantom geometry and fabrication strategy critically influence radiological performance and provides a flexible framework for future validation and standardized imaging research.

Indexed as

3D printed lung phantomsCOVID-19CT imagingimage analysispatient-specific phantomspersonalized medicine

Identifiers

PMID41727607
PMCPMC12919195

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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.