The DOI matches its Crossref record.
Medical 3D Printing for the Radiologist
Open accessAbstract
While use of advanced visualization in radiology is instrumental in diagnosis and communication with referring clinicians, there is an unmet need to render Digital Imaging and Communications in Medicine (DICOM) images as three-dimensional (3D) printed models capable of providing both tactile feedback and tangible depth information about anatomic and pathologic states. Three-dimensional printed models, already entrenched in the nonmedical sciences, are rapidly being embraced in medicine as well as in the lay community. Incorporating 3D printing from images generated and interpreted by radiologists presents particular challenges, including training, materials and equipment, and guidelines. The overall costs of a 3D printing laboratory must be balanced by the clinical benefits. It is expected that the number of 3D-printed models generated from DICOM images for planning interventions and fabricating implants will grow exponentially. Radiologists should at a minimum be familiar with 3D printing as it relates to their field, including types of 3D printing technologies and materials used to create 3D-printed anatomic models, published applications of models to date, and clinical benefits in radiology. Online supplemental material is available for this article.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Additively manufactured medical products – the FDA perspective
Di Prima, M., Coburn, J., Hwang, D., Kelly, J., Khairuzzaman, A., & Ricles, L. (2016) · 3D Printing in Medicine · doi:10.1186/s41205-016-0005-9 · Cited by 328
3D printing in medicine of congenital heart diseases
Yoo, S.-J., Thabit, O., Kim, E. K., Ide, H., Yim, D., Dragulescu, A., Seed, M., Grosse-Wortmann, L., & van Arsdell, G. (2016) · 3D Printing in Medicine · doi:10.1186/s41205-016-0004-x · Cited by 181
Ghosh, R. M., Jolley, M. A., Mascio, C. E., Chen, J. M., Fuller, S., Rome, J. J., Silvestro, E., & Whitehead, K. K. (2022) · 3D Printing in Medicine · doi:10.1186/s41205-022-00137-9 · Cited by 52
Metadata
- Authors
- Mitsouras, D., Liacouras, P., Imanzadeh, A., Giannopoulos, A. A., Cai, T., Kumamaru, K. K., George, E., Wake, N., Caterson, E. J., Pomahac, B., Ho, V. B., Grant, G. T., & Rybicki, F. J.
- Venue
- RadioGraphics
- Published
- 2015-11
- Volume
- 35
- Issue
- 7
- Pages
- 1965-1988
- ISSN
- 0271-5333 (ISSN-L)
- 1527-1323
- OpenAlex
- W2177713520
- Cited by
- 619
- References
- 0
- FWCI
- 22.49
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Medical 3D Printing for the Radiologist. https://app.cochat.ai/papers/10.1148/rg.2015140320
- The paper
- Mitsouras, D., Liacouras, P., Imanzadeh, A., Giannopoulos, A. A., Cai, T., Kumamaru, K. K., George, E., Wake, N., Caterson, E. J., Pomahac, B., Ho, V. B., Grant, G. T., & Rybicki, F. J. (2015). Medical 3D Printing for the Radiologist. RadioGraphics. https://doi.org/10.1148/rg.2015140320
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.