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Ahmed M, Garzanich M, Melaragno LE, Nyirjesy S, Windheim NV, Marquardt M, Luttrull M, Quails N, VanKoevering KK. Exploring CT pixel and voxel size effect on anatomic modeling in mandibular reconstruction. 3D Print Med 2024; 10:21. [PMID: 38922481 PMCID: PMC11202317 DOI: 10.1186/s41205-024-00223-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/10/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Computer-aided modeling and design (CAM/CAD) of patient anatomy from computed tomography (CT) imaging and 3D printing technology enable the creation of tangible, patient-specific anatomic models that can be used for surgical guidance. These models have been associated with better patient outcomes; however, a lack of CT imaging guidelines risks the capture of unsuitable imaging for patient-specific modeling. This study aims to investigate how CT image pixel size (X-Y) and slice thickness (Z) impact the accuracy of mandibular models. METHODS Six cadaver heads were CT scanned at varying slice thicknesses and pixel sizes and turned into CAD models of the mandible for each scan. The cadaveric mandibles were then dissected and surface scanned, producing a CAD model of the true anatomy to be used as the gold standard for digital comparison. The root mean square (RMS) value of these comparisons, and the percentage of points that deviated from the true cadaveric anatomy by over 2.00 mm were used to evaluate accuracy. Two-way ANOVA and Tukey-Kramer post-hoc tests were used to determine significant differences in accuracy. RESULTS Two-way ANOVA demonstrated significant difference in RMS for slice thickness but not pixel size while post-hoc testing showed a significant difference in pixel size only between pixels of 0.32 mm and 1.32 mm. For slice thickness, post-hoc testing revealed significantly smaller RMS values for scans with slice thicknesses of 0.67 mm, 1.25 mm, and 3.00 mm compared to those with a slice thickness of 5.00 mm. No significant differences were found between 0.67 mm, 1.25 mm, and 3.00 mm slice thicknesses. Results for the percentage of points deviating from cadaveric anatomy greater than 2.00 mm agreed with those for RMS except when comparing pixel sizes of 0.75 mm and 0.818 mm against 1.32 mm in post-hoc testing, which showed a significant difference as well. CONCLUSION This study suggests that slice thickness has a more significant impact on 3D model accuracy than pixel size, providing objective validation for guidelines favoring rigorous standards for slice thickness while recommending isotropic voxels. Additionally, our results indicate that CT scans up to 3.00 mm in slice thickness may provide an adequate 3D model for facial bony anatomy, such as the mandible, depending on the clinical indication.
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Affiliation(s)
- Maariyah Ahmed
- Center for Design and Manufacturing Excellence, The Ohio State University, Columbus, OH, USA
- Department of Biomedical Engineering, The Ohio State University College of Engineering, Columbus, OH, USA
| | - Myra Garzanich
- Center for Design and Manufacturing Excellence, The Ohio State University, Columbus, OH, USA
- Department of Biomedical Engineering, The Ohio State University College of Engineering, Columbus, OH, USA
| | - Luigi E Melaragno
- Center for Design and Manufacturing Excellence, The Ohio State University, Columbus, OH, USA
- Department of Biomedical Engineering, The Ohio State University College of Engineering, Columbus, OH, USA
| | - Sarah Nyirjesy
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University, 460 W 10th Ave 5th Floor Clinic, Columbus, OH, 43220, USA
| | - Natalia Von Windheim
- Center for Design and Manufacturing Excellence, The Ohio State University, Columbus, OH, USA
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University, 460 W 10th Ave 5th Floor Clinic, Columbus, OH, 43220, USA
| | - Matthew Marquardt
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University, 460 W 10th Ave 5th Floor Clinic, Columbus, OH, 43220, USA
| | - Michael Luttrull
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Nathan Quails
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Kyle K VanKoevering
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University, 460 W 10th Ave 5th Floor Clinic, Columbus, OH, 43220, USA.
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Ravi P, Burch MB, Giannopoulos AA, Liu I, Kondor S, Chepelev LL, Danesi TH, Rybicki FJ, Panza A. Desktop 3D printed anatomic models for minimally invasive direct coronary artery bypass. 3D Print Med 2024; 10:19. [PMID: 38864937 PMCID: PMC11167900 DOI: 10.1186/s41205-024-00222-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 06/06/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Three-dimensional (3D) printing technology has impacted many clinical applications across medicine. However, 3D printing for Minimally Invasive Direct Coronary Artery Bypass (MIDCAB) has not yet been reported in the peer-reviewed literature. The current observational cohort study aimed to evaluate the impact of half scaled (50% scale) 3D printed (3DP) anatomic models in the pre-procedural planning of MIDCAB. METHODS Retrospective analysis included 12 patients who underwent MIDCAB using 50% scale 3D printing between March and July 2020 (10 males, 2 females). Distances measured from CT scans and 3DP anatomic models were correlated with Operating Room (OR) measurements. The measurements were compared statistically using Tukey's test. The correspondence between the predicted (3DP & CT) and observed best InterCostal Space (ICS) in the OR was recorded. Likert surveys from the 3D printing registry were provided to the surgeon to assess the utility of the model. The OR time saved by planning the procedure using 3DP anatomic models was estimated subjectively by the cardiothoracic surgeon. RESULTS All 12 patients were successfully grafted. The 3DP model predicted the optimal ICS in all cases (100%). The distances measured on the 3DP model corresponded well to the distances measured in the OR. The measurements were significantly different between the CT and 3DP (p < 0.05) as well as CT and OR (p < 0.05) groups, but not between the 3DP and OR group. The Likert responses suggested high clinical utility of 3D printing. The mean subjectively estimated OR time saved was 40 min. CONCLUSION The 50% scaled 3DP anatomic models demonstrated high utility for MIDCAB and saved OR time while being resource efficient. The subjective benefits over routine care that used 3D visualization for surgical planning warrants further investigation.
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Affiliation(s)
- Prashanth Ravi
- Department of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA.
| | - Michael B Burch
- Department of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA
| | | | - Isabella Liu
- Department of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA
| | - Shayne Kondor
- Department of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA
| | | | - Tommaso H Danesi
- Heart and Vascular Center, Brigham and Women's Hospital, Boston, MA, USA
| | - Frank J Rybicki
- Department of Radiology, University of Arizona, Phoenix, AZ, USA
| | - Antonio Panza
- Division of Cardiac Surgery, Department of Surgery, University of Cincinnati, Cincinnati, OH, USA
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Zhang Y, Guo Y, Li Z, Wang B, Li Z. 3D-printed Multifunctional Guide Plate for Fenestration and Screws Drill in Proximal Femoral Benign Tumor. Orthop Surg 2024; 16:1487-1492. [PMID: 38726583 PMCID: PMC11144502 DOI: 10.1111/os.14075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/06/2024] [Accepted: 04/07/2024] [Indexed: 06/04/2024] Open
Abstract
The accurate fenestration, screw implantation and assisting stabilizing-plate placement in surgery of benign tumors in the proximal femur needs be defined easily. The aim of this study was to investigate the value of 3D printed multifunctional guides plate (3D-MGP) based on computer aided design. Between January 2020 and June 2022, 17 patients (nine females and eight males) with benign proximal femoral tumor had lesion curettage and allograft combined with internal plate fixation using 3D-MGP. In this study, the patients had CT scans and a technician reconstructed the 3D images of tumor and the femur, a doctor designed the location and margin of the fenestration and screws, and integrated different functions into MGP for benign proximal femoral lesions, which assisted in precise localization, fenestration and screw drilling. Musculoskeletal Tumor Society (MSTS) scoring was used to evaluate lower extremity function. Bone healing and the screws location was assessed with the radiographs. All patients underwent successful surgery with complete resection of the tumor and internal fixation with using the 3D-MGP. The mean follow-up was 16.4 months. The operative time was 126.47 ± 18.44 min, intraoperative bleeding was 198.23 ± 67.94 mL, intraoperative fluoroscopy was 6.47 ± 0.62, postoperative drainage was 223.82 ± 119.51 mL, and MSTS score was 27.29 ± 1.31 points. There were no unplanned fenestration and improper screw fixation. The 3D-MGP enabled personalized and accurate location of tumor, fenestration, screw placement and assisted stabilizing-plate placement for the treatment of benign tumor of the proximal femur. This technique has the potential to shorten operative times, decrease intraoperative bleeding, and reduce radiation exposure to patients.
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Affiliation(s)
- Yuxuan Zhang
- Department of OrthopedicsQilu Hospital of Shandong UniversityJinanChina
| | - Yi Guo
- Montefiore Medical CenterAlbert Einstein School of MedicineNew YorkNew YorkUSA
| | - Zonghao Li
- Department of OrthopedicsQilu Hospital of Shandong UniversityJinanChina
| | - Bing Wang
- School of Mechanical EngineeringShandong UniversityJinanChina
| | - Zhenfeng Li
- Department of OrthopedicsQilu Hospital of Shandong UniversityJinanChina
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Goetze E, Zeller AN, Pabst A. Approaching 3D printing in oral and maxillofacial surgery - suggestions for structured clinical standards. Oral Maxillofac Surg 2024; 28:795-802. [PMID: 38214873 DOI: 10.1007/s10006-024-01208-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/07/2024] [Indexed: 01/13/2024]
Abstract
PURPOSE With respect to the European Union 2017 amendment of the Medical Device Regulations (MDR), this overview article presents recommendations concerning medical 3D printing in oral and maxillofacial surgery (OMFS). METHODS The MDR were screened for applicability of the rules to medical in-house 3D printing. Applicable regulations were summarized and compared to the status of medical use of 3D printing in OMFS in Germany. Recommendations were made for MDR concerning medical 3D printing. RESULTS In-house printed models, surgical guides, and implants fall under the category of Class I-III, depending on their invasive and active properties. In-house medical 3D printing for custom-made medical devices is possible under certain prerogatives: (1) the product is not being used in another facility, (2) appropriate quality systems are applied, (3) the reason for omitting commercial products is documented, (4) information about its use is supplied to the responsible authority, (5) there is a publicly accessible declaration of origin, identification, and conformity to the MDR, (6) there are records of manufacturing site, process and performance data, (7) all products are produced according to the requirements proclaimed before, and (8) there is an evaluation of clinical use and correction of possible issues. CONCLUSION Several aspects must be addressed for in house medical 3D printing, according to the MDR. Devising MDR related to medical 3D printing is a growing challenge. The implementation of recommendations in OMFS could help practitioners to overcome the challenges and become aware of the in-house production and application of 3D printed devices.
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Affiliation(s)
- Elisabeth Goetze
- Department of Oral and Maxillofacial Surgery, University Hospital Zurich, Rämistr. 100, 8091, Zurich, Switzerland
| | - Alexander-N Zeller
- Department of Oral and Maxillofacial Surgery, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Andreas Pabst
- Department of Oral and Maxillofacial Surgery, Federal Armed Forces Hospital, Rübenacherstr. 170, 56072, Koblenz, Germany.
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Barakeh W, Zein O, Hemdanieh M, Sleem B, Nassereddine M. Enhancing Hip Arthroplasty Outcomes: The Multifaceted Advantages, Limitations, and Future Directions of 3D Printing Technology. Cureus 2024; 16:e60201. [PMID: 38868274 PMCID: PMC11167579 DOI: 10.7759/cureus.60201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/13/2024] [Indexed: 06/14/2024] Open
Abstract
In the evolving field of orthopedic surgery, the integration of three-dimensional printing (3D printing) has emerged as a transformative technology, particularly in addressing the rising incidence of degenerative joint diseases. The integration of 3D printing technology in hip arthroplasty offers substantial advantages throughout the surgical process. In preoperative planning, 3D models enable meticulous assessments, aiding in accurate implant selection and precise surgical strategies. Intraoperatively, the technology contributes to precise prosthesis design, reducing operation duration, X-ray exposures, and blood loss. Beyond surgery, 3D printing revolutionizes medical equipment production, imaging, and implant design, showcasing benefits such as enhanced osseointegration and reduced stress shielding with titanium cups. Challenges include a higher risk of postoperative infection due to the porous surfaces of 3D-printed implants, technical complexities in the printing process, and the need for skilled manpower. Despite these challenges, the evolving nature of 3D printing technologies underscores the importance of relying on existing orthopedic surgical practices while emphasizing the need for standardized guidelines to fully harness its potential in improving patient care.
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Affiliation(s)
- Wael Barakeh
- Orthopedic Surgery, American University of Beirut, Beirut, LBN
| | - Omar Zein
- Orthopedic Surgery, American University of Beirut, Beirut, LBN
| | - Maya Hemdanieh
- Orthopedic Surgery, American University of Beirut, Beirut, LBN
| | - Bshara Sleem
- Orthopedic Surgery, American University of Beirut, Beirut, LBN
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Shah NR, Weadock WJ, Williams KM, Moreci R, Stoll T, Joshi A, Petroze R, Newman EA. Use of modern three-dimensional imaging models to guide surgical planning for local control of pediatric extracranial solid tumors. Pediatr Blood Cancer 2024; 71:e30933. [PMID: 38430473 DOI: 10.1002/pbc.30933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 03/03/2024]
Abstract
INTRODUCTION In complex pediatric surgical oncology, surgical planning is contingent upon data gathered from preoperative imaging. Three-dimensional (3D) modeling and printing has been shown to be beneficial for adult presurgical planning, though pediatric literature is less robust. The study reviews our institutional experience with the use of 3D image segmentation and printed models in approaching resection of extracranial solid tumors in children. METHODS This is a single institutional series from 2021 to 2023. Models were based on computed tomography and magnetic resonance imaging studies, optimized for 3D imaging. The feasibility and creation of the models is reviewed, including specific techniques, software, and printing materials from our institution. Clinical implications for surgical planning are also described, along with detailed preoperative and intraoperative images. RESULTS 3D modeling and printing was performed for four pediatric patients diagnosed with extracranial solid tumors. Diagnoses included Ewing sarcoma, hepatoblastoma, synovial sarcoma, and osteosarcoma. No intraoperative complications or discrepancies with the preoperative 3D-printed model were noted. No evidence of local recurrence was identified in any patient thus far. CONCLUSION Our institutional series demonstrates a wide spectrum of clinical application for 3D modeling and printing technology within pediatric surgical oncology. This technology may aid in surgical planning for both resection and reconstruction, can be applied to a diverse breadth of diagnoses, and may potentially augment patient and/or family education about their condition.
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Affiliation(s)
- Nikhil R Shah
- Section of Pediatric Surgery, Michigan Medicine, Ann Arbor, Michigan, USA
| | - William J Weadock
- Department of Radiology, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Keyonna M Williams
- Section of Pediatric Surgery, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Rebecca Moreci
- Center for Surgical Training and Research, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Tammy Stoll
- Section of Pediatric Surgery, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Aparna Joshi
- Department of Radiology, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Robin Petroze
- Section of Pediatric Surgery, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Erika A Newman
- Section of Pediatric Surgery, Michigan Medicine, Ann Arbor, Michigan, USA
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Mota ME, Schroter GT, Moreira MS, Alves FA, Jaguar GC, Lopes RN. 3D printing technology to produce intraoral stents for head and neck radiotherapy: A scoping review. SPECIAL CARE IN DENTISTRY 2024; 44:636-644. [PMID: 37909799 DOI: 10.1111/scd.12936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION Radiotherapy remains one of the main treatments for head and neck cancer; however, it is accompanied by acute and chronic adverse effects. Use of three-dimensional (3D) oral stents to modulate radiation intensity to specific target areas have been developed to minimize these adverse effects. This study aimed to present a scoping review of studies published on 3D printing of oral stents and their clinical applicability. METHODS MEDLINE/Pubmed, Scopus, Web of Science and CENTRAL Cochrane data bases were searched, studies selected, and data collected by three independent reviewers up to December 2022. The review was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis-Extension for Scoping Reviews (PRISMA-ScR). RESULTS The search resulted in 404 studies and 5 articles fulfilled the eligibility criteria and were considered for this review. Three-dimensional printed intraoral stents were produced for 56 patients with indication for radiotherapy. 3D-printed stents were well-tolerated by all tested patients and demonstrated great reproducibility of maxillomandibular relation, required less time for production and lower cost to manufacture. Two studies showed great protection of healthy tissues with 3D-printed stents during radiotherapy. CONCLUSIONS Three-dimensional printing is promising for production of intraoral stents, however, more studies are needed to improve the technique and further investigate the safety and prevention of oral toxicities from radiotherapy.
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Affiliation(s)
- Maria Emília Mota
- Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Gabriella Torres Schroter
- Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Maria Stella Moreira
- Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, São Paulo, Brazil
- Department of Stomatology, AC Camargo Cancer Center, São Paulo, São Paulo, Brazil
| | - Fábio Abreu Alves
- Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, São Paulo, Brazil
- Department of Stomatology, AC Camargo Cancer Center, São Paulo, São Paulo, Brazil
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Gonzalez-Urquijo M, Hosseinzadeh E, Aguirre-Soto A, Fabiani MA. Stereolithographic (SLA) 3D Printing for Preprocedural Planning in Endovascular Aortic Repair of a Thoracic Aneurysm. Vasc Endovascular Surg 2024; 58:343-349. [PMID: 37944002 DOI: 10.1177/15385744231215560] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
BACKGROUND When treating aortic aneurysm patients with complex anatomical features, preprocedural planning aided by 3D-printed models offers valuable insights for endovascular intervention. This study highlights the use of stereolithographic (SLA) 3D printing to fabricate a phantom of a challenging aortic arch aneurysm with a complex neck anatomy. CLINICAL CASE A 75-year-old female presented with a 58 mm descending thoracic aortic aneurysm (TAA) extending to the distal arch, involving the left subclavian artery (LSA) and the left common carotid artery (LCCA). The computed tomography (CT) scans underwent scrutiny by radiology and vascular teams. Nevertheless, the precise spatial relationships of the ostial origins proved to be challenging to ascertain. To address this, a patient-specific phantom of the aortic arch was fabricated utilizing an SLA printer and a biomedical resin. The thoracic endovascular aortic repair (TEVAR) procedure was simulated using fluoroscopy on the phantom to enhance procedural preparedness. Subsequently, the patient underwent a right carotid-left carotid bypass and a right carotid-left subclavian bypass. After a 24-hour interval, the patient underwent the TEVAR procedure, during which a 37 mm × 150 mm stent graft (CTAG, WL Gore and Associates, Flagstaff, AZ, USA) and a 40 mm × 200 mm stent graft (CTAG, WL Gore and Associates, Flagstaff, AZ, USA) were deployed, effectively covering the LSA and LCCA. Notably, the aneurysm exhibited complete sealing, with no indications of endoleaks or graft infoldings. At the 12-month follow-up, the patient remains in good health, with no evidence of endoleaks or any other surgery-related complication. CONCLUSION This report showcases the successful use of a 3D-printed endovascular phantom in guiding the decision-making process during the preparation for a TEVAR procedure. The simulation played a pivotal role in selecting the appropriate stent graft, ensuring an intervention protocol optimized based on the patient-specific anatomy.
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Affiliation(s)
| | - Elnaz Hosseinzadeh
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico
| | - Alan Aguirre-Soto
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico
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Eveland R, Antloga K, Meyer A, Tuscano L. Low temperature vaporized hydrogen peroxide sterilization of 3D printed devices. 3D Print Med 2024; 10:6. [PMID: 38416324 PMCID: PMC10900786 DOI: 10.1186/s41205-024-00206-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/12/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Low temperature vaporized hydrogen peroxide sterilization (VH2O2) is used in hospitals today to sterilize reusable medical devices. VH2O2 sterilized 3D printed materials were evaluated for sterilization, biocompatibility and material compatibility. MATERIALS & METHODS Test articles were printed at Formlabs with BioMed Clear™ and BioMed Amber™, and at Stratasys with MED610™, MED615™ and MED620™. Sterilization, biocompatibility and material compatibility studies with 3D printed materials were conducted after VH2O2 sterilization in V-PRO™ Sterilizers. The overkill method was used to evaluate sterilization in a ½ cycle. Biocompatibility testing evaluated the processed materials as limited contact (< 24-hours) surface or externally communicating devices. Material compatibility after VH2O2 sterilization (material strength and dimensionality) was evaluated via ASTM methods and dimensional analysis. RESULTS 3D printed devices, within a specific design window, were sterile after VH2O2 ½ cycles. After multiple cycle exposure, the materials were not cytotoxic, not sensitizing, not an irritant, not a systemic toxin, not pyrogenic and were hemo-compatible. Material compatibility via ASTM testing and dimensionality evaluations did not indicate any significant changes to the 3D printed materials after VH2O2 sterilization. CONCLUSION Low temperature vaporized hydrogen peroxide sterilization is demonstrated as a suitable method to sterilize 3D printed devices. The results are a subset of the data used in a regulatory submission with the US FDA to support claims for sterilization of 3D printed devices with specified materials, printers, and device design 1.
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Affiliation(s)
| | | | - Ashley Meyer
- STERIS, 5960 Heisley Road, Mentor, OH, 44060, USA
| | - Lori Tuscano
- STERIS, 5960 Heisley Road, Mentor, OH, 44060, USA
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Żydowicz WM, Skokowski J, Marano L, Polom K. Current Trends and Beyond Conventional Approaches: Advancements in Breast Cancer Surgery through Three-Dimensional Imaging, Virtual Reality, Augmented Reality, and the Emerging Metaverse. J Clin Med 2024; 13:915. [PMID: 38337610 PMCID: PMC10856583 DOI: 10.3390/jcm13030915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 01/25/2024] [Accepted: 02/03/2024] [Indexed: 02/12/2024] Open
Abstract
Breast cancer stands as the most prevalent cancer globally, necessitating comprehensive care. A multidisciplinary approach proves crucial for precise diagnosis and treatment, ultimately leading to effective disease management. While surgical interventions continue to evolve and remain integral for curative treatment, imaging assumes a fundamental role in breast cancer detection. Advanced imaging techniques not only facilitate improved diagnosis but also contribute significantly to the overall enhancement of breast cancer management. This review article aims to provide an overview of innovative technologies such as virtual reality, augmented reality, and three-dimensional imaging, utilized in the medical field to elevate the diagnosis and treatment of breast cancer. Additionally, the article delves into an emerging technology known as the metaverse, still under development. Through the analysis of impactful research and comparison of their findings, this study offers valuable insights into the advantages of each innovative technique. The goal is to provide physicians, surgeons, and radiologists with information on how to enhance breast cancer management.
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Affiliation(s)
- Weronika Magdalena Żydowicz
- Department of General Surgery and Surgical Oncology, “Saint Wojciech” Hospital, “Nicolaus Copernicus” Health Center, Jana Pawła II 50, 80-462 Gdańsk, Poland; (W.M.Ż.); (J.S.)
| | - Jaroslaw Skokowski
- Department of General Surgery and Surgical Oncology, “Saint Wojciech” Hospital, “Nicolaus Copernicus” Health Center, Jana Pawła II 50, 80-462 Gdańsk, Poland; (W.M.Ż.); (J.S.)
- Department of Medicine, Academy of Applied Medical and Social Sciences, Akademia Medycznych I Spolecznych Nauk Stosowanych (AMiSNS), 2 Lotnicza Street, 82-300 Elbląg, Poland;
| | - Luigi Marano
- Department of General Surgery and Surgical Oncology, “Saint Wojciech” Hospital, “Nicolaus Copernicus” Health Center, Jana Pawła II 50, 80-462 Gdańsk, Poland; (W.M.Ż.); (J.S.)
- Department of Medicine, Academy of Applied Medical and Social Sciences, Akademia Medycznych I Spolecznych Nauk Stosowanych (AMiSNS), 2 Lotnicza Street, 82-300 Elbląg, Poland;
| | - Karol Polom
- Department of Medicine, Academy of Applied Medical and Social Sciences, Akademia Medycznych I Spolecznych Nauk Stosowanych (AMiSNS), 2 Lotnicza Street, 82-300 Elbląg, Poland;
- Department of Gastrointestinal Surgical Oncology, Greater Poland Cancer Centre, Garbary 15, 61-866 Poznan, Poland
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11
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Ryan JR, Ghosh R, Sturgeon G, Ali A, Arribas E, Braden E, Chadalavada S, Chepelev L, Decker S, Huang YH, Ionita C, Lee J, Liacouras P, Parthasarathy J, Ravi P, Sandelier M, Sommer K, Wake N, Rybicki F, Ballard D. Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: pediatric congenital heart disease conditions. 3D Print Med 2024; 10:3. [PMID: 38282094 PMCID: PMC10823658 DOI: 10.1186/s41205-023-00199-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/11/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND The use of medical 3D printing (focusing on anatomical modeling) has continued to grow since the Radiological Society of North America's (RSNA) 3D Printing Special Interest Group (3DPSIG) released its initial guideline and appropriateness rating document in 2018. The 3DPSIG formed a focused writing group to provide updated appropriateness ratings for 3D printing anatomical models across a variety of congenital heart disease. Evidence-based- (where available) and expert-consensus-driven appropriateness ratings are provided for twenty-eight congenital heart lesion categories. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with pediatric congenital heart disease indications. Each study was vetted by the authors and strength of evidence was assessed according to published appropriateness ratings. RESULTS Evidence-based recommendations for when 3D printing is appropriate are provided for pediatric congenital heart lesions. Recommendations are provided in accordance with strength of evidence of publications corresponding to each cardiac clinical scenario combined with expert opinion from members of the 3DPSIG. CONCLUSIONS This consensus appropriateness ratings document, created by the members of the RSNA 3DPSIG, provides a reference for clinical standards of 3D printing for pediatric congenital heart disease clinical scenarios.
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Affiliation(s)
- Justin R Ryan
- Webster Foundation 3D Innovations Lab, Rady Children's Hospital-San Diego, San Diego, CA, USA.
- Department of Neurological Surgery, UC San Diego Health, La Jolla, CA, USA.
| | - Reena Ghosh
- Department of Cardiac Surgery, Boston Children's Hospital, Boston, MA, USA
| | - Greg Sturgeon
- Duke Children's Pediatric & Congenital Heart Center, Durham, NC, USA
| | - Arafat Ali
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Elsa Arribas
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eric Braden
- Arkansas Children's Hospital, Little Rock, AR, USA
| | - Seetharam Chadalavada
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leonid Chepelev
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Summer Decker
- Department of Radiology, University of South Florida Morsani College of Medicine, Tampa, USA
- Tampa General Hospital, Tampa, FL, USA
| | - Yu-Hui Huang
- Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Ciprian Ionita
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA
| | - Joonhyuk Lee
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Peter Liacouras
- Department of Radiology, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | | | - Prashanth Ravi
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael Sandelier
- Department of Radiology - Advanced Reality Lab, James A. Haley VA Hospital, Tampa, FL, USA
| | | | - Nicole Wake
- Research and Scientific Affairs, GE HealthCare, New York, NY, USA
- Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene, Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Frank Rybicki
- Department of Radiology, University of Arizona, Phoenix, AZ, USA
| | - David Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
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12
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Hawk AJ. ArtiFacts: Bryan Anderson's Long March With Heterotopic Ossification. Clin Orthop Relat Res 2024; 482:32-34. [PMID: 37909909 PMCID: PMC10723873 DOI: 10.1097/corr.0000000000002911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 11/03/2023]
Affiliation(s)
- Alan J Hawk
- Collections Manager, Historical Collections, National Museum of Health and Medicine, Defense Health Agency, Silver Spring, MD, USA
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13
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Zapata-Julían P, Avendano D, Diaz-Peréz HM, Sofia C, Marino MA, Cardona-Huerta S. 3D print model for surgical planning in a case of recurrent osteoblastic osteosarcoma of the left maxilla. A case report. Radiol Case Rep 2023; 18:4345-4350. [PMID: 37789921 PMCID: PMC10543173 DOI: 10.1016/j.radcr.2023.07.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 06/14/2023] [Accepted: 07/23/2023] [Indexed: 10/05/2023] Open
Abstract
Osteosarcoma (OS) of the head and neck is a rare and aggressive disease characterized by the formation of osteoid by malignant osteoblasts. The mandible or maxilla are the most common sites of presentation. Radiologically, these tumors show considerable, destructive growth with periosteal reaction, which can suggest the diagnosis of OS. 3D printing, as an emerging technology, can play a role in orthopedic oncology by providing patient-specific 3D printed models to improve surgical planning and facilitate patient understanding. We present the case of a male in his early 30s with a final histological diagnosis of recurrent osteosarcoma of the left maxilla, where a 3D printed model was helpful for the diagnostic workup, surgical planning, and the procedure.
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Affiliation(s)
- Pedro Zapata-Julían
- Instituto Tecnologico de Monterrey, School of medicine and health science. Monterrey, Nuevo León, México
| | - Daly Avendano
- Instituto Tecnologico de Monterrey, School of medicine and health science. Monterrey, Nuevo León, México
| | | | - Carmelo Sofia
- Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario “G.Martino,” University of Messina, Messina, Italy
| | - Maria Adele Marino
- Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario “G.Martino,” University of Messina, Messina, Italy
| | - Servando Cardona-Huerta
- Instituto Tecnologico de Monterrey, School of medicine and health science. Monterrey, Nuevo León, México
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14
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Lee J, Chadalavada SC, Ghodadra A, Ali A, Arribas EM, Chepelev L, Ionita CN, Ravi P, Ryan JR, Santiago L, Wake N, Sheikh AM, Rybicki FJ, Ballard DH. Clinical situations for which 3D Printing is considered an appropriate representation or extension of data contained in a medical imaging examination: vascular conditions. 3D Print Med 2023; 9:34. [PMID: 38032479 PMCID: PMC10688120 DOI: 10.1186/s41205-023-00196-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Medical three-dimensional (3D) printing has demonstrated utility and value in anatomic models for vascular conditions. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (3DPSIG) provides appropriateness recommendations for vascular 3D printing indications. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with vascular indications. Each study was vetted by the authors and strength of evidence was assessed according to published appropriateness ratings. RESULTS Evidence-based recommendations for when 3D printing is appropriate are provided for the following areas: aneurysm, dissection, extremity vascular disease, other arterial diseases, acute venous thromboembolic disease, venous disorders, lymphedema, congenital vascular malformations, vascular trauma, vascular tumors, visceral vasculature for surgical planning, dialysis access, vascular research/development and modeling, and other vasculopathy. Recommendations are provided in accordance with strength of evidence of publications corresponding to each vascular condition combined with expert opinion from members of the 3DPSIG. CONCLUSION This consensus appropriateness ratings document, created by the members of the 3DPSIG, provides an updated reference for clinical standards of 3D printing for the care of patients with vascular conditions.
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Affiliation(s)
- Joonhyuk Lee
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | | | - Anish Ghodadra
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Arafat Ali
- Department of Radiology, Henry Ford Health, Detroit, MI, USA
| | - Elsa M Arribas
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leonid Chepelev
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Ciprian N Ionita
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA
| | - Prashanth Ravi
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Justin R Ryan
- Webster Foundation 3D Innovations Lab, Rady Children's Hospital, San Diego, CA, USA
- Department of Neurological Surgery, University of California San Diego Health, San Diego, CA, USA
| | - Lumarie Santiago
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicole Wake
- Department of Research and Scientific Affairs, GE HealthCare, New York, NY, USA
- Center for Advanced Imaging Innovation and Research, Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Adnan M Sheikh
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Frank J Rybicki
- Department of Radiology, University of Arizona - Phoenix, Phoenix, AZ, USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA.
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15
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Ali A, Morris JM, Decker SJ, Huang YH, Wake N, Rybicki FJ, Ballard DH. Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: neurosurgical and otolaryngologic conditions. 3D Print Med 2023; 9:33. [PMID: 38008795 PMCID: PMC10680204 DOI: 10.1186/s41205-023-00192-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 10/03/2023] [Indexed: 11/28/2023] Open
Abstract
BACKGROUND Medical three dimensional (3D) printing is performed for neurosurgical and otolaryngologic conditions, but without evidence-based guidance on clinical appropriateness. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (SIG) provides appropriateness recommendations for neurologic 3D printing conditions. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with neurologic and otolaryngologic conditions. Each study was vetted by the authors and strength of evidence was assessed according to published guidelines. RESULTS Evidence-based recommendations for when 3D printing is appropriate are provided for diseases of the calvaria and skull base, brain tumors and cerebrovascular disease. Recommendations are provided in accordance with strength of evidence of publications corresponding to each neurologic condition combined with expert opinion from members of the 3D printing SIG. CONCLUSIONS This consensus guidance document, created by the members of the 3D printing SIG, provides a reference for clinical standards of 3D printing for neurologic conditions.
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Affiliation(s)
- Arafat Ali
- Department of Radiology, Henry Ford Health, Detroit, MI, USA
| | | | - Summer J Decker
- Division of Imaging Research and Applied Anatomy, Department of Radiology, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Yu-Hui Huang
- Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Nicole Wake
- Department of Research and Scientific Affairs, GE HealthCare, New York, NY, USA
- Center for Advanced Imaging Innovation and Research, Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA.
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16
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Mohanadas HP, Nair V, Doctor AA, Faudzi AAM, Tucker N, Ismail AF, Ramakrishna S, Saidin S, Jaganathan SK. A Systematic Analysis of Additive Manufacturing Techniques in the Bioengineering of In Vitro Cardiovascular Models. Ann Biomed Eng 2023; 51:2365-2383. [PMID: 37466879 PMCID: PMC10598155 DOI: 10.1007/s10439-023-03322-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 07/13/2023] [Indexed: 07/20/2023]
Abstract
Additive Manufacturing is noted for ease of product customization and short production run cost-effectiveness. As our global population approaches 8 billion, additive manufacturing has a future in maintaining and improving average human life expectancy for the same reasons that it has advantaged general manufacturing. In recent years, additive manufacturing has been applied to tissue engineering, regenerative medicine, and drug delivery. Additive Manufacturing combined with tissue engineering and biocompatibility studies offers future opportunities for various complex cardiovascular implants and surgeries. This paper is a comprehensive overview of current technological advancements in additive manufacturing with potential for cardiovascular application. The current limitations and prospects of the technology for cardiovascular applications are explored and evaluated.
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Affiliation(s)
| | - Vivek Nair
- Computational Fluid Dynamics (CFD) Lab, Mechanical and Aerospace Engineering, University of Texas Arlington, Arlington, TX, 76010, USA
| | | | - Ahmad Athif Mohd Faudzi
- Faculty of Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
- Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
| | - Nick Tucker
- School of Engineering, College of Science, Brayford Pool, Lincoln, LN6 7TS, UK
| | - Ahmad Fauzi Ismail
- School of Chemical and Energy Engineering, Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, Skudai, Malaysia
| | - Seeram Ramakrishna
- Department of Mechanical Engineering, Center for Nanofibers & Nanotechnology Initiative, National University of Singapore, Singapore, Singapore
| | - Syafiqah Saidin
- IJNUTM Cardiovascular Engineering Centre, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
| | - Saravana Kumar Jaganathan
- Faculty of Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
- Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
- School of Engineering, College of Science, Brayford Pool, Lincoln, LN6 7TS, UK.
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Jacobson NM, Brusilovsky J, Ducey R, Stence NV, Barker AJ, Mitchell MB, Smith L, MacCurdy R, Weaver JC. The Inner Complexities of Multimodal Medical Data: Bitmap-Based 3D Printing for Surgical Planning Using Dynamic Physiology. 3D PRINTING AND ADDITIVE MANUFACTURING 2023; 10:855-868. [PMID: 37886401 PMCID: PMC10599423 DOI: 10.1089/3dp.2022.0265] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Motivated by the need to develop more informative and data-rich patient-specific presurgical planning models, we present a high-resolution method that enables the tangible replication of multimodal medical data. By leveraging voxel-level control of multimaterial three-dimensional (3D) printing, our method allows for the digital integration of disparate medical data types, such as functional magnetic resonance imaging, tractography, and four-dimensional flow, overlaid upon traditional magnetic resonance imaging and computed tomography data. While permitting the explicit translation of multimodal medical data into physical objects, this approach also bypasses the need to process data into mesh-based boundary representations, alleviating the potential loss and remodeling of information. After evaluating the optical characteristics of test specimens generated with our correlative data-driven method, we culminate with multimodal real-world 3D-printed examples, thus highlighting current and potential applications for improved surgical planning, communication, and clinical decision-making through this approach.
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Affiliation(s)
- Nicholas M. Jacobson
- School of Engineering, Design, and Computation—Inworks Innovation Initiative, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Jane Brusilovsky
- School of Engineering, Design, and Computation—Inworks Innovation Initiative, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Nicholas V. Stence
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Children's Hospital Colorado, Heart Institute and Advanced Imaging Lab, Aurora, Colorado
| | - Alex J. Barker
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Children's Hospital Colorado, Heart Institute and Advanced Imaging Lab, Aurora, Colorado
| | - Max B. Mitchell
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Children's Hospital Colorado, Heart Institute and Advanced Imaging Lab, Aurora, Colorado
| | - Lawrence Smith
- School of Engineering, University of Colorado Boulder, Boulder, Colorado, USA
| | - Robert MacCurdy
- School of Engineering, University of Colorado Boulder, Boulder, Colorado, USA
| | - James C. Weaver
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts, USA
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18
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Chen S. The 10 Commandments of Building 3D-Printed Models for Surgical Simulation. INNOVATIONS-TECHNOLOGY AND TECHNIQUES IN CARDIOTHORACIC AND VASCULAR SURGERY 2023; 18:408-413. [PMID: 37804155 DOI: 10.1177/15569845231204233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Affiliation(s)
- Sarah Chen
- Division of Cardiac and General Thoracic Surgery, Department of Surgery, University of California, Davis, CA, USA
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Shaylor R, Golden E, Verenkin V, Kolodii M, Peer M, Dadia S, Matot I, Cohen B. Virtual reality and 3D printing in clinical anesthesia: a case series of two years' experience in a single tertiary medical centre. Can J Anaesth 2023; 70:1433-1440. [PMID: 37498441 DOI: 10.1007/s12630-023-02530-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 07/28/2023] Open
Abstract
PURPOSE Anatomically correct patient-specific models made from medical imaging can be printed on a three-dimensional (3D) printer or turned into a virtual reality (VR) program. Until recently, use in anesthesia has been limited. In 2019, the anesthesia department at Tel Aviv Medical Center launched a 3D program with the aim of using 3D modelling to assist in preoperative anesthesia planning. METHODS A retrospective review of all relevant patients between July 2019 and June 2021 referred for preoperative airway planning with 3D modelling. Patient files were reviewed for correlation between the model-based airway plan and the actual airway plan, the type of model used, and any anesthetic complications related to airway management. RESULTS Twenty patients were referred for 3D modelling. Of these, 15 models were printed, including 12 children requiring one lung ventilation. Five patients had VR reconstructions, including three with mediastinal masses. One patient had both a 3D-printed model and a VR reconstruction. There were two cases (10%) where the model plan did not correlate with the final airway plan and one case where a model could not be created because of poor underlying imaging. For the remaining 17 cases, the plan devised on the model matched the final airway plan. There were no anesthetic complications. CONCLUSIONS Three-dimensional modelling and subsequent printing or VR reconstruction are feasible in clinical anesthesia. Its routine use for patients with challenging airway anatomy correlated well with the final clinical outcome in most cases. High-quality imaging is essential.
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Affiliation(s)
- Ruth Shaylor
- Division of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel.
| | - Eran Golden
- Levin Center for Surgical Innovation and 3D Printing, Tel Aviv Medical Center, Tel Aviv, Israel
| | - Vladimir Verenkin
- Division of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel
| | - Marina Kolodii
- Department of Thoracic Surgery, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel
| | - Michael Peer
- Department of Thoracic Surgery, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel
| | - Solomon Dadia
- Levin Center for Surgical Innovation and 3D Printing, Tel Aviv Medical Center, Tel Aviv, Israel
- Department of Orthopedic Oncology, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel
| | - Idit Matot
- Division of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel
| | - Barak Cohen
- Division of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel
- Outcomes Research Consortium, Cleveland Clinic, Cleveland, OH, USA
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20
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Morris JM, Wentworth A, Houdek MT, Karim SM, Clarke MJ, Daniels DJ, Rose PS. The Role of 3D Printing in Treatment Planning of Spine and Sacral Tumors. Neuroimaging Clin N Am 2023; 33:507-529. [PMID: 37356866 DOI: 10.1016/j.nic.2023.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Three-dimensional (3D) printing technology has proven to have many advantages in spine and sacrum surgery. 3D printing allows the manufacturing of life-size patient-specific anatomic and pathologic models to improve preoperative understanding of patient anatomy and pathology. Additionally, virtual surgical planning using medical computer-aided design software has enabled surgeons to create patient-specific surgical plans and simulate procedures in a virtual environment. This has resulted in reduced operative times, decreased complications, and improved patient outcomes. Combined with new surgical techniques, 3D-printed custom medical devices and instruments using titanium and biocompatible resins and polyamides have allowed innovative reconstructions.
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Affiliation(s)
- Jonathan M Morris
- Division of Neuroradiology, Department of Radiology, Anatomic Modeling Unit, Biomedical and Scientific Visualization, Mayo Clinic, 200 1st Street, Southwest, Rochester, MN, 55905, USA.
| | - Adam Wentworth
- Department of Radiology, Anatomic Modeling Unit, Mayo Clinic, Rochester, MN, USA
| | - Matthew T Houdek
- Division of Orthopedic Oncology, Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | - S Mohammed Karim
- Division of Orthopedic Oncology, Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Peter S Rose
- Division of Orthopedic Oncology, Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
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21
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Stepanenko A, Perez LM, Ferre JC, Ybarra Falcón C, Pérez de la Sota E, San Roman JA, Redondo Diéguez A, Baladron C. 3D Virtual modelling, 3D printing and extended reality for planning of implant procedure of short-term and long-term mechanical circulatory support devices and heart transplantation. Front Cardiovasc Med 2023; 10:1191705. [PMID: 37663417 PMCID: PMC10473250 DOI: 10.3389/fcvm.2023.1191705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/19/2023] [Indexed: 09/05/2023] Open
Abstract
Introduction The use of three-dimensional (3D) reconstruction and printing technology, together with extended reality applied to advanced heart failure adult patients with complex anatomy, is rapidly spreading in clinical practice. We report practical experience with application to acute and chronic heart failure: planning and performing mechanical circulatory device insertion or heart transplantation. Methods From November 2019 until February 2022, 53 3D virtual biomodels were produced for intervention planning (using Virtual/Augmented Reality and/or 3D printing), following a specific segmentation and preprocessing workflow for biomodelling, in patients with advanced heart failure due to structural heart disease or cardiomyopathies. Four of those patients were complex cases requiring mechanical circulatory support implant procedures in our center. Results One short-term and three long-term ventricular assist device system were successfully clinically implanted after application of this technique. In other two cases with extremely high procedural risk, visualized after application of this multimodality imaging, heart transplantation was elected. Conclusion 3D printing based planning and virtual procedure simulation, are of great importance to select appropriate candidates for mechanical circulatory support in case of complex patient anatomy and may help to diminish periprocedural complications. Extended reality represents a perspective tool in planification of complex surgical procedures or ventricular assist device insertion in this setting.
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Affiliation(s)
- Alexander Stepanenko
- Cardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Laura Maroto Perez
- Cardiovascular Surgery, Hospital Recoletas Campo Grande, Valladolid, Spain
| | - Jordi Candela Ferre
- Cardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | | | | | - Jose Alberto San Roman
- Cardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Vall3DLab, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Alfredo Redondo Diéguez
- Vall3DLab, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Cardiology Department, University Hospital of Santiago, Santiago de Compostela, Spain
| | - Carlos Baladron
- Cardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Vall3DLab, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
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Patel P, Dhal K, Gupta R, Tappa K, Rybicki FJ, Ravi P. Medical 3D Printing Using Desktop Inverted Vat Photopolymerization: Background, Clinical Applications, and Challenges. Bioengineering (Basel) 2023; 10:782. [PMID: 37508810 PMCID: PMC10376892 DOI: 10.3390/bioengineering10070782] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Medical 3D printing is a complex, highly interdisciplinary, and revolutionary technology that is positively transforming the care of patients. The technology is being increasingly adopted at the Point of Care (PoC) as a consequence of the strong value offered to medical practitioners. One of the key technologies within the medical 3D printing portfolio enabling this transition is desktop inverted Vat Photopolymerization (VP) owing to its accessibility, high quality, and versatility of materials. Several reports in the peer-reviewed literature have detailed the medical impact of 3D printing technologies as a whole. This review focuses on the multitude of clinical applications of desktop inverted VP 3D printing which have grown substantially in the last decade. The principles, advantages, and challenges of this technology are reviewed from a medical standpoint. This review serves as a primer for the continually growing exciting applications of desktop-inverted VP 3D printing in healthcare.
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Affiliation(s)
- Parimal Patel
- Department of Mechanical & Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Kashish Dhal
- Department of Mechanical & Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Rajul Gupta
- Department of Orthopedic Surgery, University of Cincinnati, Cincinnati, OH 45219, USA
| | - Karthik Tappa
- Department of Breast Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati, Cincinnati, OH 45219, USA
| | - Prashanth Ravi
- Department of Radiology, University of Cincinnati, Cincinnati, OH 45219, USA
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23
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Zhu Y, Gong S, Dai J, Zhou L. Elbow hemiarthroplasty with a 3D-printed prosthesis for distal humeral bone defects after tumor excision: a case report. 3D Print Med 2023; 9:18. [PMID: 37314590 DOI: 10.1186/s41205-023-00178-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/23/2023] [Indexed: 06/15/2023] Open
Abstract
INTRODUCTION The distal humerus is a rare site for primary and metastatic bone tumors. Due to the scarcity of cases and lack of standardized surgical strategies, it is often difficult for surgeons to choose the right choice. The application of a 3D-printed prosthesis with hemiarthroplasty for the treatment of the distal humerus after tumor resection can be a very effective option. CASE PRESENTATION We present a clinical case of a 3D-printed distal humeral prosthesis for the treatment of bone defects caused by metastatic bone tumors. The preoperative evaluation was aggressively performed, and the decision was made to distal humeral hemiarthroplasty (DHH) after wide resection of the tumor segment bone. Processing of the Digital Imaging and Communications in Medicine (DICOM) data from CT scans performed after mirror conversion using CT data of the contralateral humerus, we designed a 3D-printed distal humeral prosthesis with hemiarthroplasty. After reconstruction of bone and surrounding soft tissue by the 3D-printed prosthesis combined with the LARS ligament and regular follow-up for 12 months, the patient had an MSTS-93 score of 29 and an MEP of 100, which reached a good level, and the patient was fully competent in normal daily activities. CONCLUSIONS Our results show that the 3D-printed modular prosthesis with hemiarthroplasty is a very effective option for cases of large elbow bone defects due to primary bone tumors or metastatic disease. However, careful preoperative preparation is required for the best outcome. Careful preoperative preparation and long-term follow-up are essential for the best outcome.
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Affiliation(s)
- Yingkang Zhu
- Department of orthopedic and soft tissue surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Shuo Gong
- Department of orthopedic and soft tissue surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Jin Dai
- Department of orthopedic and soft tissue surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Lei Zhou
- Department of orthopedic and soft tissue surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
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Baessato F, Ewert P, Meierhofer C. CMR and Percutaneous Treatment of Pulmonary Regurgitation: Outreach the Search for the Best Candidate. Life (Basel) 2023; 13:life13051127. [PMID: 37240773 DOI: 10.3390/life13051127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/30/2023] [Accepted: 05/03/2023] [Indexed: 05/28/2023] Open
Abstract
Performance of cardiovascular magnetic resonance (CMR) in the planning phase of percutaneous pulmonary valve implantation (PPVI) is needed for the accurate delineation of the right ventricular outflow tract (RVOT), coronary anatomy and the quantification of right ventricular (RV) volume overload in patients with significant pulmonary regurgitation (PR). This helps to find the correct timings for the intervention and prevention of PPVI-related complications such as coronary artery compression, device embolization and stent fractures. A defined CMR study protocol should be set for all PPVI candidates to reduce acquisition times and acquire essential sequences that are determinants for PPVI success. For correct RVOT sizing, contrast-free whole-heart sequences, preferably at end-systole, should be adopted in the pediatric population thanks to their high reproducibility and concordance with invasive angiographic data. When CMR is not feasible or contraindicated, cardiac computed tomography (CCT) may be performed for high-resolution cardiac imaging and eventually the acquisition of complementary functional data. The aim of this review is to underline the role of CMR and advanced multimodality imaging in the context of pre-procedural planning of PPVI concerning its current and potential future applications.
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Affiliation(s)
- Francesca Baessato
- Department of Cardiology, Regional Hospital S. Maurizio, 39100 Bolzano, Italy
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
| | - Peter Ewert
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
| | - Christian Meierhofer
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
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Richards L, Dalla S, Fitzgerald S, Walter C, Ash R, Miller K, Alli A, Rohr A. Utilizing 3D printing to assist pre-procedure planning of transjugular intrahepatic portosystemic shunt (TIPS) procedures: a pilot study. 3D Print Med 2023; 9:10. [PMID: 37052816 PMCID: PMC10099647 DOI: 10.1186/s41205-023-00176-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 03/29/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND 3D (three-dimensional) printing has been adopted by the medical community in several ways, procedure planning being one example. This application of technology has been adopted by several subspecialties including interventional radiology, however the planning of transjugular intrahepatic portosystemic shunt (TIPS) placement has not yet been described. The impact of a 3D printed model on procedural measures such as procedure time, radiation exposure, intravascular contrast dosage, fluoroscopy time, and provider confidence has also not been reported. METHODS This pilot study utilized a quasi-experimental design including patients who underwent TIPS. For the control group, retrospective data was collected on patients who received a TIPS prior to Oct 1, 2020. For the experimental group, patient-specific 3D printed models were integrated in the care of patients that received TIPS between Oct 1, 2020 and April 15, 2021. Data was collected on patient demographics and procedural measures. The interventionalists were surveyed on their confidence level and model usage following each procedure in the experimental group. RESULTS 3D printed models were created for six TIPS. Procedure time (p = 0.93), fluoroscopy time (p = 0.26), and intravascular contrast dosage (p = 0.75) did not have significant difference between groups. Mean radiation exposure was 808.8 mGy in the group with a model compared to 1731.7 mGy without, however this was also not statistically significant (p = 0.09). Out of 11 survey responses from interventionists, 10 reported "increased" or "significantly increased" confidence after reviewing the 3D printed model and all responded that the models were a valuable tool for trainees. CONCLUSIONS 3D printed models of patient anatomy can consistently be made using consumer-level, desktop 3D printing technology. This study was not adequately powered to measure the impact that including 3D printed models in the planning of TIPS procedures may have on procedural measures. The majority of interventionists reported that patient-specific models were valuable tools for teaching trainees and that confidence levels increased as a result of model inclusion in procedure planning.
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Affiliation(s)
- Lucas Richards
- University of Kansas School of Medicine, 3901 Rainbow Boulevard, 66160, Kansas City, KS, USA.
| | - Shiv Dalla
- University of Kansas School of Medicine, 3901 Rainbow Boulevard, 66160, Kansas City, KS, USA
| | - Sharon Fitzgerald
- Department of Population Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 1008, 66160, Kansas City, KS, USA
| | - Carissa Walter
- Department of Radiology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 4032, 66160, Kansas City, KS, USA
| | - Ryan Ash
- Department of Radiology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 4032, 66160, Kansas City, KS, USA
| | - Kirk Miller
- Department of Radiology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 4032, 66160, Kansas City, KS, USA
| | - Adam Alli
- Department of Radiology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 4032, 66160, Kansas City, KS, USA
| | - Aaron Rohr
- Department of Radiology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 4032, 66160, Kansas City, KS, USA
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Nguyen P, Stanislaus I, McGahon C, Pattabathula K, Bryant S, Pinto N, Jenkins J, Meinert C. Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models. FRONTIERS IN MEDICAL TECHNOLOGY 2023; 5:1097850. [PMID: 36824261 PMCID: PMC9941637 DOI: 10.3389/fmedt.2023.1097850] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/03/2023] [Indexed: 02/10/2023] Open
Abstract
3D printing enables the rapid manufacture of patient-specific anatomical models that substantially improve patient consultation and offer unprecedented opportunities for surgical planning and training. However, the multistep preparation process may inadvertently lead to inaccurate anatomical representations which may impact clinical decision making detrimentally. Here, we investigated the dimensional accuracy of patient-specific vascular anatomical models manufactured via digital anatomical segmentation and Fused-Deposition Modelling (FDM), Stereolithography (SLA), Selective Laser Sintering (SLS), and PolyJet 3D printing, respectively. All printing modalities reliably produced hand-held patient-specific models of high quality. Quantitative assessment revealed an overall dimensional error of 0.20 ± 3.23%, 0.53 ± 3.16%, -0.11 ± 2.81% and -0.72 ± 2.72% for FDM, SLA, PolyJet and SLS printed models, respectively, compared to unmodified Computed Tomography Angiograms (CTAs) data. Comparison of digital 3D models to CTA data revealed an average relative dimensional error of -0.83 ± 2.13% resulting from digital anatomical segmentation and processing. Therefore, dimensional error resulting from the print modality alone were 0.76 ± 2.88%, + 0.90 ± 2.26%, + 1.62 ± 2.20% and +0.88 ± 1.97%, for FDM, SLA, PolyJet and SLS printed models, respectively. Impact on absolute measurements of feature size were minimal and assessment of relative error showed a propensity for models to be marginally underestimated. This study revealed a high level of dimensional accuracy of 3D-printed patient-specific vascular anatomical models, suggesting they meet the requirements to be used as medical devices for clinical applications.
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Affiliation(s)
- Philip Nguyen
- School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Ivan Stanislaus
- Faculty of Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Clover McGahon
- Faculty of Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Krishna Pattabathula
- Vascular Surgery Department, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Services, Brisbane, QLD, Australia,Vascular Biofabrication Program, Herston Biofabrication Institute, Metro North Hospital and Health Services, Brisbane, QLD, Australia
| | - Samuel Bryant
- Vascular Surgery Department, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Services, Brisbane, QLD, Australia,Vascular Biofabrication Program, Herston Biofabrication Institute, Metro North Hospital and Health Services, Brisbane, QLD, Australia
| | - Nigel Pinto
- Vascular Surgery Department, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Services, Brisbane, QLD, Australia,Vascular Biofabrication Program, Herston Biofabrication Institute, Metro North Hospital and Health Services, Brisbane, QLD, Australia
| | - Jason Jenkins
- Vascular Surgery Department, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Services, Brisbane, QLD, Australia,Vascular Biofabrication Program, Herston Biofabrication Institute, Metro North Hospital and Health Services, Brisbane, QLD, Australia
| | - Christoph Meinert
- Faculty of Engineering, Queensland University of Technology, Brisbane, QLD, Australia,Vascular Biofabrication Program, Herston Biofabrication Institute, Metro North Hospital and Health Services, Brisbane, QLD, Australia,Faculty of Engineering, Architecture and Information Technology, University of Queensland, Brisbane, QLD, Australia,Correspondence: Christoph Meinert
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Bastawrous S. Utility and Costs Benchmarked in a New 3D Printing Service-Optimizing the Path Forward. J Am Coll Radiol 2023; 20:205-206. [PMID: 36182097 DOI: 10.1016/j.jacr.2022.07.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 07/25/2022] [Accepted: 07/25/2022] [Indexed: 11/15/2022]
Affiliation(s)
- Sarah Bastawrous
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington; and Department of Radiology, VA Puget Sound Health Care System, Seattle, Washington.
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Ardila CM, González-Arroyave D, Zuluaga-Gómez M. Efficacy of three-dimensional models for medical education: A systematic scoping review of randomized clinical trials. Heliyon 2023; 9:e13395. [PMID: 36816291 PMCID: PMC9932677 DOI: 10.1016/j.heliyon.2023.e13395] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
To estimate the efficacy of three-dimensional (3D) models for medical education. METHODS A systematic scoping review was performed containing diverse databases such as SCOPUS, PubMed/MEDLINE, SCIELO, and LILACS. MeSH terms and keywords were stipulated to explore randomized clinical trials (RCTs) in all languages. Solely RCTs that accomplished the eligibility criteria were admitted. RESULTS Fifteen RCTs including 1659 medical students were chosen. Five RCTs studied heart models, 3 RCTs explored facial, spinal and bone fractures and the rest of the trials investigated eye, arterial, pelvic, hepatic, chest, skull, and cleft lip and palate models. Regarding the efficacy of 3D models, in terms of learning skills and knowledge gained by medical students, most RCTs reported higher scores. Considering the test-taking times, the results were variable. Two RCTs showed less time for the 3D group, another RCT indicated variable results in the response times of the test depending on the anatomical zone evaluated, while another described that the students in the 3D group were slightly quicker to answer all questions when compared with the traditional group, but without statistical significance. The other 11 experiments did not present results about test-taking times. Most students in all RCTs indicated satisfaction, enjoyment, and interest in utilizing the 3D systems, and recognized that their abilities were enhanced. CONCLUSIONS Higher efficacy in terms of learning skills and knowledge gained was observed when the 3D systems were used by medical students. Undergraduates also expressed great satisfaction with the use of these technologies. Regarding the test-taking times, the results favored the 3D group.
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Affiliation(s)
- Carlos M. Ardila
- Basic Studies Department, Faculty of Dentistry, University of Antioquia, UdeA, 050010 Medellín, Colombia,Corresponding author. 70th street # 52-21, Medellín, Colombia.
| | - Daniel González-Arroyave
- Medicine Department, San Vicente Fundación Hospital, 054047 Rionegro, Colombia,Bolivariana University, Medellín Colombia
| | - Mateo Zuluaga-Gómez
- Medicine Department, San Vicente Fundación Hospital, 054047 Rionegro, Colombia,Bolivariana University, Medellín Colombia
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Huang YH, Nascene D, Spilseth B, Chuy JA. High-Fidelity Simulation Training for Nasal Bridle Placement with a 3D Printed Model. ANNALS OF 3D PRINTED MEDICINE 2023. [DOI: 10.1016/j.stlm.2023.100108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
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30
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Ravi P, Burch MB, Farahani S, Chepelev LL, Yang D, Ali A, Joyce JR, Lawera N, Stringer J, Morris JM, Ballard DH, Wang KC, Mahoney MC, Kondor S, Rybicki FJ. Utility and Costs During the Initial Year of 3D Printing in an Academic Hospital. J Am Coll Radiol 2023; 20:193-204. [PMID: 35988585 DOI: 10.1016/j.jacr.2022.07.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE There is a paucity of utility and cost data regarding the launch of 3D printing in a hospital. The objective of this project is to benchmark utility and costs for radiology-based in-hospital 3D printing of anatomic models in a single, adult academic hospital. METHODS All consecutive patients for whom 3D printed anatomic models were requested during the first year of operation were included. All 3D printing activities were documented by the 3D printing faculty and referring specialists. For patients who underwent a procedure informed by 3D printing, clinical utility was determined by the specialist who requested the model. A new metric for utility termed Anatomic Model Utility Points with range 0 (lowest utility) to 500 (highest utility) was derived from the specialist answers to Likert statements. Costs expressed in United States dollars were tallied from all 3D printing human resources and overhead. Total costs, focused costs, and outsourced costs were estimated. The specialist estimated the procedure room time saved from the 3D printed model. The time saved was converted to dollars using hospital procedure room costs. RESULTS The 78 patients referred for 3D printed anatomic models included 11 clinical indications. For the 68 patients who had a procedure, the anatomic model utility points had an overall mean (SD) of 312 (57) per patient (range, 200-450 points). The total operation cost was $213,450. The total cost, focused costs, and outsourced costs were $2,737, $2,180, and $2,467 per model, respectively. Estimated procedure time saved had a mean (SD) of 29.9 (12.1) min (range, 0-60 min). The hospital procedure room cost per minute was $97 (theoretical $2,900 per patient saved with model). DISCUSSION Utility and cost benchmarks for anatomic models 3D printed in a hospital can inform health care budgets. Realizing pecuniary benefit from the procedure time saved requires future research.
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Affiliation(s)
- Prashanth Ravi
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Michael B Burch
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Shayan Farahani
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Leonid L Chepelev
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | | | - Arafat Ali
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Jennifer R Joyce
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Nathan Lawera
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Jimmy Stringer
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | | | - David H Ballard
- Washington University School of Medicine, Mallinckrodt Institute of Radiology, St Louis, Missouri
| | - Kenneth C Wang
- Department of Radiology, University of Maryland, Baltimore, Maryland; and Department of Radiology, Baltimore VA Medical Center, Baltimore, Maryland; and Co-Chair, ACR 3D Printing Registry Governance Committee
| | - Mary C Mahoney
- Chair, Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Shayne Kondor
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio
| | - Frank J Rybicki
- Vice Chair of Operations & Quality, Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio; and Co-Chair, ACR 3D Printing Registry Governance Committee.
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Advanced Image Segmentation and Modeling - A Review of the 2021-2022 Thematic Series. 3D Print Med 2023; 9:1. [PMID: 36692662 PMCID: PMC9872408 DOI: 10.1186/s41205-022-00163-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 11/14/2022] [Indexed: 01/25/2023] Open
Abstract
Medical 3D printing is a form of manufacturing that benefits patient care, particularly when the 3D printed part is patient-specific and either enables or facilitates an intervention for a specific condition. Most of the patient-specific medical 3D printing begins with volume based medical images of the patient. Several digital manipulations are typically performed to prescribe a final anatomic representation that is then 3D printed. Among these are image segmentation where a volume of interest such as an organ or a set of tissues is digitally extracted from the volumetric imaging data. Image segmentation requires medical expertise, training, software, and effort. The theme of image segmentation has a broad intersection with medical 3D printing. The purpose of this editorial is to highlight different points of that intersection in a recent thematic series within 3D Printing in Medicine.
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Fidvi S, Holder J, Li H, Parnes GJ, Shamir SB, Wake N. Advanced 3D Visualization and 3D Printing in Radiology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1406:103-138. [PMID: 37016113 DOI: 10.1007/978-3-031-26462-7_6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
Since the discovery of X-rays in 1895, medical imaging systems have played a crucial role in medicine by permitting the visualization of internal structures and understanding the function of organ systems. Traditional imaging modalities including Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Ultrasound (US) present fixed two-dimensional (2D) images which are difficult to conceptualize complex anatomy. Advanced volumetric medical imaging allows for three-dimensional (3D) image post-processing and image segmentation to be performed, enabling the creation of 3D volume renderings and enhanced visualization of pertinent anatomic structures in 3D. Furthermore, 3D imaging is used to generate 3D printed models and extended reality (augmented reality and virtual reality) models. A 3D image translates medical imaging information into a visual story rendering complex data and abstract ideas into an easily understood and tangible concept. Clinicians use 3D models to comprehend complex anatomical structures and to plan and guide surgical interventions more precisely. This chapter will review the volumetric radiological techniques that are commonly utilized for advanced 3D visualization. It will also provide examples of 3D printing and extended reality technology applications in radiology and describe the positive impact of advanced radiological image visualization on patient care.
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Affiliation(s)
- Shabnam Fidvi
- Department of Radiology, Montefiore Medical Center, Bronx, NY, USA.
| | - Justin Holder
- Department of Radiology, Montefiore Medical Center, Bronx, NY, USA
| | - Hong Li
- Department of Radiology, Jacobi Medical Center, Bronx, NY, USA
| | | | | | - Nicole Wake
- GE Healthcare, Aurora, OH, USA
- Center for Advanced Imaging Innovation and Research, NYU Langone Health, New York, NY, USA
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López-Ojeda W, Hurley RA. Digital Innovation in Neuroanatomy: Three-Dimensional (3D) Image Processing and Printing for Medical Curricula and Health Care. J Neuropsychiatry Clin Neurosci 2023; 35:206-209. [PMID: 37448309 DOI: 10.1176/appi.neuropsych.20230072] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/15/2023]
Affiliation(s)
- Wilfredo López-Ojeda
- Veterans Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center (MIRECC) and Research and Academic Affairs Service Line, W.G. Hefner Veterans Affairs Medical Center, Salisbury, N.C. (López-Ojeda, Hurley); Departments of Psychiatry and Behavioral Medicine (López-Ojeda, Hurley) and Radiology (Hurley), Wake Forest School of Medicine, Winston-Salem, N.C.; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (Hurley)
| | - Robin A Hurley
- Veterans Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center (MIRECC) and Research and Academic Affairs Service Line, W.G. Hefner Veterans Affairs Medical Center, Salisbury, N.C. (López-Ojeda, Hurley); Departments of Psychiatry and Behavioral Medicine (López-Ojeda, Hurley) and Radiology (Hurley), Wake Forest School of Medicine, Winston-Salem, N.C.; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (Hurley)
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Jain S, Jain BK, Jain PK, Marwaha V. "Technology Proficiency" in Medical Education: Worthiness for Worldwide Wonderful Competency and Sophistication. ADVANCES IN MEDICAL EDUCATION AND PRACTICE 2022; 13:1497-1514. [PMID: 36545441 PMCID: PMC9762172 DOI: 10.2147/amep.s378917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 10/31/2022] [Indexed: 06/17/2023]
Abstract
PURPOSE Advances in bioinformatics, information technology, advanced computing, imaging techniques are changing fundamentally the way physicians define, diagnose, treat, and prevent disease. New disciplines - Artificial Intelligence, Machine Learning, Computational Biology - are improving healthcare. Digital health solutions have immense scope. Education and practice need to keep pace. METHODS We aimed at assessment of "Technology proficiency" required by medical graduates and its implementation, if found useful. All this in a conceptual framework of "TP" model, having categories (a) proper assessment (b) pertinent treatment (c) progress monitoring (d) prevention applications (e) professional standards. A search of the literature was performed using MedLine & Cochrane Central Register of Controlled Trials databases, for systematic reviews and meta-analysis articles published in the last five years using keyword "technology". Analysis of those relevant to the role all medical graduates should play. An analysis of worldwide statutory medical institutions guidelines. RESULTS Twenty-three systematic studies and meta-analysis were studied. Eighteen show clear evidence for 'Technology proficiency", while 5 recommend further studies. The findings are discussed suiting the roles of doctors in the "TP" model. Medical institutions guidelines worldwide diligence suggests need of including "Technology proficiency" as a definite and distinct strategic plan. Medical Council of India mandates "use information technology for appropriate patient care and continued learning". General Medical Council, UK and Medical Council India have been proactive in technology training. GMC recommends technology use for learning, prescribing, communication, and interpersonal skills. It should be expanding technology proficiency in practice as an essential professional capability. CONCLUSION "Technology proficiency" is found pertinently fruitful. It should be included as a definitive requirement and a distinct strategic plan worldwide. Modern curriculum development is proposed (i) Educational goals and objectives as the proposed Conceptual framework "Technology proficiency" model (ii) Instructional strategies 'Five Bs' (iii) Implementation 'Five Ms'.
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Affiliation(s)
- Sunil Jain
- Department of Paediatrics, Military Hospital Secunderabad, Telangana, India
| | | | - Prem Kamal Jain
- Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India
| | - Vishal Marwaha
- School of Medicine, Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Cochin, Kerala, India
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Management of Complex Acetabular Fractures by Using 3D Printed Models. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58121854. [PMID: 36557056 PMCID: PMC9785751 DOI: 10.3390/medicina58121854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Background and Objectives: Using 3D printed models in orthopaedics and traumatology contributes to a better understanding of injury patterns regarding surgical approaches, reduction techniques, and fracture fixation methods. The aim of this study is to evaluate the effectiveness of a novel technique implementing 3D printed models to facilitate the optimal preoperative planning of the surgical treatment of complex acetabular fractures. Materials and Methods: Patients with complex acetabular fractures were assigned to two groups: (1) conventional group (n = 12) and (2) 3D printed group (n = 10). Both groups included participants with either a posterior column plus posterior wall fracture, a transverse plus posterior wall fracture, or a both-column acetabular fracture. Datasets from CT scanning were segmented and converted to STL format, with separated bones and fragments for 3D printing in different colors. Comparison between the two groups was performed in terms of quality of fracture reduction (good: equal to, or less than 2 mm displacement, and fair: larger than 2 mm displacement), functional assessment, operative time, blood loss, and number of intraoperative x-rays. Results: A significant decrease in operative time, blood loss, and number of intraoperative x-rays was registered in the 3D printed group versus the conventional one (p < 0.01), with 80% of the patients in the former having good fracture reduction and 20% having fair reduction. In contrast, 50% of the patients in the conventional group had good reduction and 50% had fair reduction. The functional score at 18-month follow-up was better for patients in the 3D printed group. Conclusions: The 3D printing technique can be considered a highly efficient and patient-specific approach for management of complex acetabular fractures, helping to restore patient′s individual anatomy after surgery.
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Establishing a Point-of-Care Virtual Planning and 3D Printing Program. Semin Plast Surg 2022; 36:133-148. [PMID: 36506280 PMCID: PMC9729064 DOI: 10.1055/s-0042-1754351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Virtual surgical planning (VSP) and three-dimensional (3D) printing have become a standard of care at our institution, transforming the surgical care of complex patients. Patient-specific, anatomic models and surgical guides are clinically used to improve multidisciplinary communication, presurgical planning, intraoperative guidance, and the patient informed consent. Recent innovations have allowed both VSP and 3D printing to become more accessible to various sized hospital systems. Insourcing such work has several advantages including quicker turnaround times and increased innovation through collaborative multidisciplinary teams. Centralizing 3D printing programs at the point-of-care provides a greater cost-efficient investment for institutions. The following article will detail capital equipment needs, institutional structure, operational personnel, and other considerations necessary in the establishment of a POC manufacturing program.
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Fang C, Cai L, Chu G, Jarayabhand R, Kim JW, O'Neill G. 3D printing in fracture treatment : Current practice and best practice consensus. UNFALLCHIRURGIE (HEIDELBERG, GERMANY) 2022; 125:1-7. [PMID: 35817874 PMCID: PMC9722822 DOI: 10.1007/s00113-022-01159-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/10/2022] [Indexed: 06/10/2023]
Abstract
The use of 3D printing in orthopedic trauma is supported by clinical evidence. Existing computed tomography (CT) data are exploited for better stereotactic identification of morphological features of the fracture and enhanced surgical planning. Due to complex logistic, technical and resource constraints, deployment of 3D printing is not straightforward from the hospital management perspective. As a result not all trauma surgeons are able to confidently integrate 3D printing into the daily practice. We carried out an expert panel survey on six trauma units which utilized 3D printing routinely. The most frequent indications are acetabular and articular fractures and malalignments. Infrastructure and manpower structure varied between units. The installation of industrial grade machines and dedicated software as well as the use of trained personnel can enhance the capacity and reliability of fracture treatment. Setting up interdisciplinary jointly used 3d printing departments with sound financial and management structures may improve sustainability. The sometimes substantial logistic and technical barriers which impede the rapid delivery of 3D printed models are discussed.
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Affiliation(s)
- Christian Fang
- Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China.
| | - Leyi Cai
- First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Gabriel Chu
- United Christian Hospital, Hong Kong SAR, China
| | | | - Ji Wan Kim
- Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Korea (Republic of)
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Jacobson N, Carerra E, Smith L, Browne L, Stence N, Sheridan A, MacCurdy R. Defining Soft Tissue: Bitmap Printing of Soft Tissue for Surgical Planning. 3D PRINTING AND ADDITIVE MANUFACTURING 2022; 9:461-472. [PMID: 36654967 PMCID: PMC9809978 DOI: 10.1089/3dp.2021.0141] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Nearly all applications of 3D printing for surgical planning have been limited to bony structures and simple morphological descriptions of complex organs due to the fundamental limitations in accuracy, quality, and efficiency of the current modeling paradigms and technologies. Current approaches have largely ignored the constitution of soft tissue critical to most surgical specialties where multiple high-resolution variations transition gradually across the interior of the volume. Differences in the scales of organization related to unique organs require special attention to capture fine features critical to surgical procedures. We present a six-material bitmap printing technique for creating 3D models directly from medical images, which are superior in spatial and contrast resolution to current 3D modeling methods, and contain previously unachievable spatial fidelity for soft tissue differentiation. A retrospective exempt IRB was obtained for all data through the Colorado Multiple Institution Review Board #21-3128.
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Affiliation(s)
- Nicholas Jacobson
- School of Engineering, Design and Computation—Inworks Innovation Initiative, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA
| | - Erik Carerra
- School of Engineering, Design and Computation—Inworks Innovation Initiative, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA
| | - Lawrence Smith
- School of Engineering, University of Colorado: Boulder, Boulder, Colorado, USA
| | - Lorna Browne
- Pediatric Radiology, School of Medicine, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA
| | - Nicholas Stence
- School of Medicine, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pediatric Neuroradiology, Children's Hospital Colorado, Aurora, Colorado, USA
| | - Alison Sheridan
- School of Medicine, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA
| | - Robert MacCurdy
- Mechanical Engineering, University of Colorado: Boulder, Boulder, Colorado, USA
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Implementation of an In-House 3D Manufacturing Unit in a Public Hospital’s Radiology Department. Healthcare (Basel) 2022; 10:healthcare10091791. [PMID: 36141403 PMCID: PMC9498605 DOI: 10.3390/healthcare10091791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/30/2022] [Accepted: 09/14/2022] [Indexed: 11/23/2022] Open
Abstract
Objective: Three-dimensional printing has become a leading manufacturing technique in healthcare in recent years. Doubts in published studies regarding the methodological rigor and cost-effectiveness and stricter regulations have stopped the transfer of this technology in many healthcare organizations. The aim of this study was the evaluation and implementation of a 3D printing technology service in a radiology department. Methods: This work describes a methodology to implement a 3D printing service in a radiology department of a Spanish public hospital, considering leadership, training, workflow, clinical integration, quality processes and usability. Results: The results correspond to a 6-year period, during which we performed up to 352 cases, requested by 85 different clinicians. The training, quality control and processes required for the scaled implementation of an in-house 3D printing service are also reported. Conclusions: Despite the maturity of the technology and its impact on the clinic, it is necessary to establish new workflows to correctly implement them into the strategy of the health organization, adjusting it to the needs of clinicians and to their specific resources. Significance: This work allows hospitals to bridge the gap between research and 3D printing, setting up its transfer to clinical practice and using implementation methodology for decision support.
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Development of a customisable 3D-printed intra-oral stent for head-and-neck radiotherapy. Tech Innov Patient Support Radiat Oncol 2022; 23:1-7. [PMID: 35813156 PMCID: PMC9260300 DOI: 10.1016/j.tipsro.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/25/2022] [Accepted: 06/13/2022] [Indexed: 11/20/2022] Open
Abstract
Advanced radiotherapy techniques have improved head-and-neck treatments. More improvements are possible with intra-oral stents stabilising sensitive anatomy. MRI imaging shows new modular 3D printed stents provide stable displacement. Modular stents achieve positive outcomes within standard treatment workflow.
Intra-oral stents (including mouth-pieces and bite blocks) can be used to displace adjacent non-involved oral tissue and reduce radiation side effects from radiotherapy treatments for head-and-neck cancer. In this study, a modular and customisable 3D printed intra-oral stent was designed, fabricated and evaluated, to utilise the advantages of the 3D printing process without the interruption of clinical workflow associated with printing time. The stent design used a central mouth-opening and tongue-depressing main piece, with optional cheek displacement pieces in three different sizes, plus an anchor point for moulding silicone to fit individual patients’ teeth. A magnetic resonance imaging (MRI) study of one healthy participant demonstrated the tissue displacement effects of the stent, while providing a best-case indication of its comfort.
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Spanaki A, Kabir S, Stephenson N, van Poppel MPM, Benetti V, Simpson J. 3D Approaches in Complex CHD: Where Are We? Funny Printing and Beautiful Images, or a Useful Tool? J Cardiovasc Dev Dis 2022; 9:269. [PMID: 36005432 PMCID: PMC9410138 DOI: 10.3390/jcdd9080269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/02/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022] Open
Abstract
Echocardiography, CT and MRI have a crucial role in the management of congenital heart disease (CHD) patients. All of these modalities can be presented in a 2D or a 3D rendered format. The aim of this paper is to review the key advantages and potential limitations, as well as the future challenges of a 3D approach in each imaging modality. The focus of this review is on anatomic rather than functional assessment. Conventional 2D echocardiography presents limitations when imaging complex lesions, whereas 3D imaging depicts the anatomy in all dimensions. CT and MRI can visualise extracardiac vasculature and guide complex biventricular repair. Three-dimensional printed models can be used in depicting complex intracardiac relationships and defining the surgical strategy in specific lesions. Extended reality imaging retained dynamic cardiac motion holds great potential for planning surgical and catheter procedures. Overall, the use of 3D imaging has resulted in a better understanding of anatomy, with a direct impact on the surgical and catheter approach, particularly in more complex cases.
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Affiliation(s)
- Adriani Spanaki
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
| | - Saleha Kabir
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
| | - Natasha Stephenson
- School of Biomedical Engineering & Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
| | - Milou P. M. van Poppel
- School of Biomedical Engineering & Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
| | - Valentina Benetti
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
| | - John Simpson
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
- School of Biomedical Engineering & Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
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Ganapathy A, Chen D, Elumalai A, Albers B, Tappa K, Jammalamadaka U, Hoegger MJ, Ballard DH. Guide for starting or optimizing a 3D printing clinical service. Methods 2022; 206:41-52. [PMID: 35964862 DOI: 10.1016/j.ymeth.2022.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 10/15/2022] Open
Abstract
Three-dimensional (3D) printing has applications in many fields and has gained substantial traction in medicine as a modality to transform two-dimensional scans into three-dimensional renderings. Patient-specific 3D printed models have direct patient care uses in surgical and procedural specialties, allowing for increased precision and accuracy in developing treatment plans and guiding surgeries. Medical applications include surgical planning, surgical guides, patient and trainee education, and implant fabrication. 3D printing workflow for a laboratory or clinical service that produces anatomic models and guides includes optimizing imaging acquisition and post-processing, segmenting the imaging, and printing the model. Quality assurance considerations include supervising medical imaging expert radiologists' guidance and self-implementing in-house quality control programs. The purpose of this review is to provide a workflow and guide for starting or optimizing laboratories and clinical services that 3D-print anatomic models or guides for clinical use.
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Affiliation(s)
- Aravinda Ganapathy
- School of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
| | - David Chen
- School of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
| | - Anusha Elumalai
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Brian Albers
- 3D Printing Center, Barnes Jewish Hospital, St. Louis, MO, USA.
| | - Karthik Tappa
- Anatomic 3D Printing and Visualization Program, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | | | - Mark J Hoegger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - David H Ballard
- School of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
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Algorithms used in medical image segmentation for 3D printing and how to understand and quantify their performance. 3D Print Med 2022; 8:18. [PMID: 35748984 PMCID: PMC9229760 DOI: 10.1186/s41205-022-00145-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND 3D printing (3DP) has enabled medical professionals to create patient-specific medical devices to assist in surgical planning. Anatomical models can be generated from patient scans using a wide array of software, but there are limited studies on the geometric variance that is introduced during the digital conversion of images to models. The final accuracy of the 3D printed model is a function of manufacturing hardware quality control and the variability introduced during the multiple digital steps that convert patient scans to a printable format. This study provides a brief summary of common algorithms used for segmentation and refinement. Parameters for each that can introduce geometric variability are also identified. Several metrics for measuring variability between models and validating processes are explored and assessed. METHODS Using a clinical maxillofacial CT scan of a patient with a tumor of the mandible, four segmentation and refinement workflows were processed using four software packages. Differences in segmentation were calculated using several techniques including volumetric, surface, linear, global, and local measurements. RESULTS Visual inspection of print-ready models showed distinct differences in the thickness of the medial wall of the mandible adjacent to the tumor. Volumetric intersections and heatmaps provided useful local metrics of mismatch or variance between models made by different workflows. They also allowed calculations of aggregate percentage agreement and disagreement which provided a global benchmark metric. For the relevant regions of interest (ROIs), statistically significant differences were found in the volume and surface area comparisons for the final mandible and tumor models, as well as between measurements of the nerve central path. As with all clinical use cases, statistically significant results must be weighed against the clinical significance of any deviations found. CONCLUSIONS Statistically significant geometric variations from differences in segmentation and refinement algorithms can be introduced into patient-specific models. No single metric was able to capture the true accuracy of the final models. However, a combination of global and local measurements provided an understanding of important geometric variations. The clinical implications of each geometric variation is different for each anatomical location and should be evaluated on a case-by-case basis by clinicians familiar with the process. Understanding the basic segmentation and refinement functions of software is essential for sites to create a baseline from which to evaluate their standard workflows, user training, and inter-user variability when using patient-specific models for clinical interventions or decisions.
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Ravi P, Chepelev LL, Stichweh GV, Jones BS, Rybicki FJ. Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion. J Digit Imaging 2022; 35:613-622. [PMID: 35237891 PMCID: PMC9156585 DOI: 10.1007/s10278-022-00614-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 12/15/2022] Open
Abstract
Medical 3D printing of anatomical models is being increasingly applied in healthcare facilities. The accuracy of such 3D-printed anatomical models is an important aspect of their overall quality control. The purpose of this research was to test whether the accuracy of a variety of anatomical models 3D printed using Material Extrusion (MEX) lies within a reasonable tolerance level, defined as less than 1-mm dimensional error. Six medical models spanning across anatomical regions (musculoskeletal, neurological, abdominal, cardiovascular) and sizes (model volumes ranging from ~ 4 to 203 cc) were chosen for the primary study. Three measurement landing blocks were strategically designed within each of the six medical models to allow high-resolution caliper measurements. An 8-cc reference cube was printed as the 7th model in the primary study. In the secondary study, the effect of model rotation and scale was assessed using two of the models from the first study. All models were 3D printed using an Ultimaker 3 printer in triplicates. All absolute measurement errors were found to be less than 1 mm with a maximum error of 0.89 mm. The maximum relative error was 2.78%. The average absolute error was 0.26 mm, and the average relative error was 0.71% in the primary study, and the results were similar in the secondary study with an average absolute error of 0.30 mm and an average relative error of 0.60%. The relative errors demonstrated certain patterns in the data, which were explained based on the mechanics of MEX 3D printing. Results indicate that the MEX process, when carefully assessed on a case-by-case basis, could be suitable for the 3D printing of multi-pathological anatomical models for surgical planning if an accuracy level of 1 mm is deemed sufficient for the application.
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Affiliation(s)
- Prashanth Ravi
- Department of Radiology, University of Cincinnati College of Medicine, 234 Goodman St, Cincinnati, OH, 45219, USA.
| | - Leonid L Chepelev
- Department of Radiology, Stanford University, 300 Pasteur Dr, Stanford, CA, 94305, USA
| | - Gabrielle V Stichweh
- 1819 Innovation Hub Makerspace, University of Cincinnati, 2900 Reading Rd, Cincinnati, OH, 45206, USA
| | - Benjamin S Jones
- 1819 Innovation Hub Makerspace, University of Cincinnati, 2900 Reading Rd, Cincinnati, OH, 45206, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, 234 Goodman St, Cincinnati, OH, 45219, USA
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Fang C, Cai L, Chu G, Jarayabhand R, Kim JW, O’Neill G. 3D-Druck in der Frakturversorgung. Unfallchirurg 2022; 125:342-350. [DOI: 10.1007/s00113-022-01158-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/10/2022] [Indexed: 01/14/2023]
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Ghosh RM, Jolley MA, Mascio CE, Chen JM, Fuller S, Rome JJ, Silvestro E, Whitehead KK. Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality. 3D Print Med 2022; 8:11. [PMID: 35445896 PMCID: PMC9027072 DOI: 10.1186/s41205-022-00137-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 03/12/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Surgical and catheter-based interventions for congenital heart disease require precise understanding of complex anatomy. The use of three-dimensional (3D) printing and virtual reality to enhance visuospatial understanding has been well documented, but integration of these methods into routine clinical practice has not been well described. We review the growth and development of a clinical 3D modeling service to inform procedural planning within a high-volume pediatric heart center. METHODS Clinical 3D modeling was performed using cardiac magnetic resonance (CMR) or computed tomography (CT) derived data. Image segmentation and post-processing was performed using FDA-approved software. Patient-specific anatomy was visualized using 3D printed models, digital flat screen models and virtual reality. Surgical repair options were digitally designed using proprietary and open-source computer aided design (CAD) based modeling tools. RESULTS From 2018 to 2020 there were 112 individual 3D modeling cases performed, 16 for educational purposes and 96 clinically utilized for procedural planning. Over the 3-year period, demand for clinical modeling tripled and in 2020, 3D modeling was requested in more than one-quarter of STAT category 3, 4 and 5 cases. The most common indications for modeling were complex biventricular repair (n = 30, 31%) and repair of multiple ventricular septal defects (VSD) (n = 11, 12%). CONCLUSIONS Using a multidisciplinary approach, clinical application of 3D modeling can be seamlessly integrated into pre-procedural care for patients with congenital heart disease. Rapid expansion and increased demand for utilization of these tools within a high-volume center demonstrate the high value conferred on these techniques by surgeons and interventionalists alike.
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Affiliation(s)
- Reena M Ghosh
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.
| | - Matthew A Jolley
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.,Department of Anesthesia and Critical Care, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher E Mascio
- Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Division of Cardiovascular and Thoracic Surgery, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Jonathan M Chen
- Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stephanie Fuller
- Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jonathan J Rome
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA
| | - Elizabeth Silvestro
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kevin K Whitehead
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA
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Illi J, Bernhard B, Nguyen C, Pilgrim T, Praz F, Gloeckler M, Windecker S, Haeberlin A, Gräni C. Translating Imaging Into 3D Printed Cardiovascular Phantoms. JACC Basic Transl Sci 2022; 7:1050-1062. [PMID: 36337920 PMCID: PMC9626905 DOI: 10.1016/j.jacbts.2022.01.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/03/2021] [Accepted: 01/03/2022] [Indexed: 11/27/2022]
Abstract
3D printed patient specific phantoms can visualize complex cardiovascular anatomy Common imaging modalities for 3D printing are CCT and CMR Material jetting/PolyJet and stereolithography are widely used printing techniques Standardized validation is warranted to compare different 3D printing technologies
Translation of imaging into 3-dimensional (3D) printed patient-specific phantoms (3DPSPs) can help visualize complex cardiovascular anatomy and enable tailoring of therapy. The aim of this paper is to review the entire process of phantom production, including imaging, materials, 3D printing technologies, and the validation of 3DPSPs. A systematic review of published research was conducted using Embase and MEDLINE, including studies that investigated 3DPSPs in cardiovascular medicine. Among 2,534 screened papers, 212 fulfilled inclusion criteria and described 3DPSPs as a valuable adjunct for planning and guiding interventions (n = 108 [51%]), simulation of physiological or pathological conditions (n = 19 [9%]), teaching of health care professionals (n = 23 [11%]), patient education (n = 3 [1.4%]), outcome prediction (n = 6 [2.8%]), or other purposes (n = 53 [25%]). The most common imaging modalities to enable 3D printing were cardiac computed tomography (n = 131 [61.8%]) and cardiac magnetic resonance (n = 26 [12.3%]). The printing process was conducted mostly by material jetting (n = 54 [25.5%]) or stereolithography (n = 43 [20.3%]). The 10 largest studies that evaluated the geometric accuracy of 3DPSPs described a mean bias <±1 mm; however, the validation process was very heterogeneous among the studies. Three-dimensional printed patient-specific phantoms are highly accurate, used for teaching, and applied to guide cardiovascular therapy. Systematic comparison of imaging and printing modalities following a standardized validation process is warranted to allow conclusions on the optimal production process of 3DPSPs in the field of cardiovascular medicine.
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Ballard DH. Invited Commentary: Starting a Radiology-led 3D Printing Laboratory as a Clinical Service-Funding and Untold Expenses. Radiographics 2022; 42:E70-E72. [PMID: 35119969 DOI: 10.1148/rg.210220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- David H Ballard
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110. The author has provided disclosures (see end of article)
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Three-Dimensional Printing Model Enhances Craniofacial Trauma Teaching by Improving Morphologic and Biomechanical Understanding: A Randomized Controlled Study. Plast Reconstr Surg 2022; 149:475e-484e. [PMID: 35196687 DOI: 10.1097/prs.0000000000008869] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Teaching about craniofacial traumas is challenging given the complexity of the craniofacial anatomy and the necessity for good spatial representation skills. To solve these problems, three-dimensional printing seems to be an appropriate educative material. In this study, the authors conducted a randomized controlled trial. The authors' main objective was to compare the performance of the undergraduate medical students in an examination based on the teaching support: three-dimensionally printed models versus two-dimensional pictures. METHODS All participants were randomly assigned to one of two groups using a random number table: the three-dimensionally-printed support group (three-dimensional group) or the two-dimensionally-displayed support group (two-dimensional group). All participants completed a multiple-choice question evaluation questionnaire on facial traumatology (first, a zygomatic bone fracture; then, a double mandible fracture). Sex and potential confounding factors were evaluated. RESULTS Four hundred thirty-two fifth-year undergraduate medical students were enrolled in this study. Two hundred six students were allocated to the three-dimensional group, and 226 were allocated to the two-dimensional group. The three-dimensionally printed model was considered to be a better teaching material compared with two-dimensional support. The global mean score was 2.36 in the three-dimensional group versus 1.99 in the two-dimensional group (p = 0.008). Regarding teaching of biomechanical aspects, three-dimensionally-printed models provide better understanding (p = 0.015). Participants in both groups exhibited similar previous student educational achievements and visuospatial skills. CONCLUSIONS This prospective, randomized, controlled educational trial demonstrated that incorporation of three-dimensionally-printed models improves medical students' understanding. This trial reinforces previous studies highlighting academic benefits in using three-dimensionally-printed models mostly in the field of understanding complex structures.
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3D printing units should be centrally managed in the radiology department. Eur J Radiol 2022; 148:110161. [DOI: 10.1016/j.ejrad.2022.110161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 11/20/2022]
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