ReviewJournal of magnetic resonance imaging : JMRI2022
Three-Dimensional Printed Anatomic Models Derived From Magnetic Resonance Imaging Data: Current State and Image Acquisition Recommendations for Appropriate Clinical Scenarios.
Review in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06418243 (Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging), which is not on this map. Cited by 18 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.
Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging
Who cites it
18 citing papers in PubMed.
- Large Intestine Model Editor (LIME): Design and pilot evaluation of an editor for parameterized large intestine 3D models.Medical & biological engineering & computing · 2026Article
- [Intraosseous access in infants-development of an anatomical training model].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026Article
- Advances in 3D Bioprinting: Materials, Processes, and Emerging Applications.Micromachines · 2026Review
- Resolving the organ transplantation challenges by 3D bioprinting: A scoping review on case studies.Journal of education and health promotion · 2026Review
- cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation.Physics in medicine and biology · 2025Article
- Enhancing skull base tumor management: the combination of 3D printing technology and endoscopic surgical techniques.3D printing in medicine · 2025Article
- 3-Dimensional printing and bioprinting in neurological sciences: applications in surgery, imaging, tissue engineering, and pharmacology and therapeutics.Journal of materials science. Materials in medicine · 2025Review
- Point-of-care additive manufacturing: state of the art and adoption in Spanish hospitals during pre to post COVID-19 era.3D printing in medicine · 2024Article
- Artificial neural network-based prediction of multiple sclerosis using blood-based metabolomics data.Multiple sclerosis and related disorders · 2024Article
- 3D printing of the brachial plexus and its osseous landmarks using magnetic resonance neurography for thoracic outlet syndrome evaluation.3D printing in medicine · 2024Article
- Pilot Evaluation of Silicone Surrogates for Oral Mucosa Simulation in Craniofacial Surgical Training.Biomimetics (Basel, Switzerland) · 2024Article
- The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.Frontiers in oncology · 2024Article
- A Systematic Analysis of Additive Manufacturing Techniques in the Bioengineering of In Vitro Cardiovascular Models.Annals of biomedical engineering · 2023Review
- MRI-based training model for left atrial appendage closure.International journal of computer assisted radiology and surgery · 2023Article
- Patient-Specific 3D-Printed Models in Pediatric Congenital Heart Disease.Children (Basel, Switzerland) · 2023Review
- Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models.Frontiers in medical technology · 2023Article
- 3D Extrusion Printing of Biphasic Anthropomorphic Brain Phantoms Mimicking MR Relaxation Times Based on Alginate-Agarose-Carrageenan Blends.ACS applied materials & interfaces · 2022Article
- A workflow to generate patient-specific three-dimensional augmented reality models from medical imaging data and example applications in urologic oncology.3D printing in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Three-dimensional (3D) printing technologies have been increasingly utilized in medicine over the past several years and can greatly facilitate surgical planning thereby improving patient outcomes. Although still much less utilized compared to computed tomography (CT), magnetic resonance imaging (MRI) is gaining traction in medical 3D printing. The purpose of this study was two-fold: 1) to determine the prevalence in the existing literature of using MRI to create 3D printed anatomic models for surgical planning and 2) to provide image acquisition recommendations for appropriate clinical scenarios where MRI is the most suitable imaging modality. The workflow for creating 3D printed anatomic models from medical imaging data is complex and involves image segmentation of the regions of interest and conversion of that data into 3D surface meshes, which are compatible with printing technologies. CT is most commonly used to create 3D printed anatomic models due to the high image quality and relative ease of performing image segmentation from CT data. As compared to CT datasets, 3D printing using MRI data offers advantages since it provides exquisite soft tissue contrast needed for accurate organ segmentation and it does not expose patients to unnecessary ionizing radiation. MRI, however, often requires complicated imaging techniques and time-consuming postprocessing procedures to generate high-resolution 3D anatomic models needed for 3D printing. Despite these challenges, 3D modeling and printing from MRI data holds great clinical promises thanks to emerging innovations in both advanced MRI imaging and postprocessing techniques. EVIDENCE LEVEL: 2 TECHNICAL EFFICATCY: 5.
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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.