ReviewThe Indian journal of radiology & imaging2021
3D Printing Applications for Radiology: An Overview.
Review in The Indian journal of radiology & imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- CT-based 3D-printed coronary artery phantom for imaging projection education.Radiology and oncology · 2026Article
- A Review of 3D-Printed Medical Devices for Cancer Radiation Therapy.Bioengineering (Basel, Switzerland) · 2026Review
- Materials Advances in Devices for Heart Disease Interventions.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Review
- Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy.EClinicalMedicine · 2024Article
- Qualitative exploration of 3D printing in Swedish healthcare: perceived effects and barriers.BMC health services research · 2024Article
- Emerging technologies in pediatric radiology: current developments and future prospects.Pediatric radiology · 2024Review
- Pixels to precision: Neuroradiology's leap into 3D printing for personalized medicine.Journal of clinical imaging science · 2024Review
- Accuracy and feasibility in building a personalized 3D printed femoral pseudoaneurysm model for endovascular training.PloS one · 2024Article
- Telemedicine for healthcare: Capabilities, features, barriers, and applications.Sensors international · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional (3D) printing technologies are part of additive manufacturing processes and are used to manufacture a 3D physical model from a digital computer-aided design model as per the required shape and size. These technologies are now used for advanced radiology applications by providing all information through 3D physical model. It provides innovation in radiology for clinical applications, treatment planning, procedural simulation, medical and patient education. Radiological advancements have been made in diagnosis and communication through medical digital imaging techniques like computed tomography, magnetic resonance imaging. These images are converted into Digital Imaging and Communications in Medicine in Standard Triangulate Language file format, easily printable in 3D printing technologies. This 3D model provides in-depth information about pathologic and anatomic states. It is useful to create new opportunities related to patient care. This article discusses the potential of 3D printing technology in radiology. The steps involved in 3D printing for radiology are discussed diagrammatically, and finally identified 12 significant applications of 3D printing technology for radiology with a brief description. A radiologist can incorporate this technology to fulfil different challenges such as training, planning, guidelines, and better communications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.