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Shi W, Wang J, Gao J, Zou X, Dong Q, Huang Z, Sheng J, Guan C, Xu Y, Cui Y, Zhong X. Utilization of 3D printing technology in hepatopancreatobiliary surgery. J Zhejiang Univ Sci B 2024; 25:123-134. [PMID: 38303496 PMCID: PMC10835207 DOI: 10.1631/jzus.b2300175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 07/23/2023] [Indexed: 02/03/2024]
Abstract
The technology of three-dimensional (3D) printing emerged in the late 1970s and has since undergone considerable development to find numerous applications in mechanical engineering, industrial design, and biomedicine. In biomedical science, several studies have initially found that 3D printing technology can play an important role in the treatment of diseases in hepatopancreatobiliary surgery. For example, 3D printing technology has been applied to create detailed anatomical models of disease organs for preoperative personalized surgical strategies, surgical simulation, intraoperative navigation, medical training, and patient education. Moreover, cancer models have been created using 3D printing technology for the research and selection of chemotherapy drugs. With the aim to clarify the development and application of 3D printing technology in hepatopancreatobiliary surgery, we introduce seven common types of 3D printing technology and review the status of research and application of 3D printing technology in the field of hepatopancreatobiliary surgery.
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Affiliation(s)
- Wujiang Shi
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Jiangang Wang
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xian 710032, China
| | - Jianjun Gao
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Xinlei Zou
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Qingfu Dong
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Ziyue Huang
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Jialin Sheng
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Canghai Guan
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Yi Xu
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China. ,
- Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi 563006, China. ,
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen 361000, China. ,
- Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. ,
- Jiangsu Province Engineering Research Center of Tumor Targeted Nano Diagnostic and Therapeutic Materials, Yancheng Teachers University, Yancheng 224007, China. ,
- Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang Province, Hangzhou 310053, China. ,
- Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China. ,
- Key Laboratory of Myocardial Ischemia, Harbin Medical University, Ministry of Education, Harbin 150086, China. ,
| | - Yunfu Cui
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China. ,
| | - Xiangyu Zhong
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
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Soh CL, Pandiaraja M, Powar MP. 3D-Printing Applications in Ostomy Device Creation and Complex Intestinal Fistula Management: A Scoping Review. Surg J (N Y) 2023; 9:e97-e106. [PMID: 37876379 PMCID: PMC10522416 DOI: 10.1055/s-0043-1775748] [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: 11/29/2022] [Accepted: 05/26/2023] [Indexed: 10/26/2023] Open
Abstract
Background This scoping review aims to provide a summary of the use of three-dimensional (3D) printing in colorectal surgery for the management of complex intestinal fistula and ostomy creation. Methods A systematic database search was conducted of original articles that explored the use of 3D printing in colorectal surgery in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to March 2022. Original articles and case reports that discussed 3D printing in colorectal surgery relating to complex intestinal fistulae and ostomies were identified and analyzed. Results There were 8 articles identified which discussed the use of 3D printing in colorectal surgery, of which 2 discussed ostomy creation, 4 discussed complex fistulae management, and 2 discussed patient models. Conclusion 3D printing has a promising role in terms of management of these conditions and can improve outcomes in terms of recovery, fluid loss, and function with no increase in complications. The use of 3D printing is still in its early stages of development in colorectal surgery. Further research in the form of randomized control trials to improve methodological robustness will reveal its true potential.
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Affiliation(s)
- Chien Lin Soh
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Michael P. Powar
- Cambridge Colorectal Unit, Cambridge University Hospitals NHS Trust, Cambridge, United Kingdom
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Sun Z, Wong YH, Yeong CH. Patient-Specific 3D-Printed Low-Cost Models in Medical Education and Clinical Practice. MICROMACHINES 2023; 14:464. [PMID: 36838164 PMCID: PMC9959835 DOI: 10.3390/mi14020464] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
3D printing has been increasingly used for medical applications with studies reporting its value, ranging from medical education to pre-surgical planning and simulation, assisting doctor-patient communication or communication with clinicians, and the development of optimal computed tomography (CT) imaging protocols. This article presents our experience of utilising a 3D-printing facility to print a range of patient-specific low-cost models for medical applications. These models include personalized models in cardiovascular disease (from congenital heart disease to aortic aneurysm, aortic dissection and coronary artery disease) and tumours (lung cancer, pancreatic cancer and biliary disease) based on CT data. Furthermore, we designed and developed novel 3D-printed models, including a 3D-printed breast model for the simulation of breast cancer magnetic resonance imaging (MRI), and calcified coronary plaques for the simulation of extensive calcifications in the coronary arteries. Most of these 3D-printed models were scanned with CT (except for the breast model which was scanned using MRI) for investigation of their educational and clinical value, with promising results achieved. The models were confirmed to be highly accurate in replicating both anatomy and pathology in different body regions with affordable costs. Our experience of producing low-cost and affordable 3D-printed models highlights the feasibility of utilizing 3D-printing technology in medical education and clinical practice.
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Affiliation(s)
- Zhonghua Sun
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth 6845, Australia
- Curtin Health Innovation Research Institute (CHIRI), Faculty of Health Sciences, Curtin University, Perth 6845, Australia
- School of Medicine and Medical Advancement for Better Quality of Life Impact Lab, Taylor’s University, Subang Jaya 47500, Malaysia
| | - Yin How Wong
- School of Medicine and Medical Advancement for Better Quality of Life Impact Lab, Taylor’s University, Subang Jaya 47500, Malaysia
| | - Chai Hong Yeong
- School of Medicine and Medical Advancement for Better Quality of Life Impact Lab, Taylor’s University, Subang Jaya 47500, Malaysia
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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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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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Cornejo J, Cornejo-Aguilar JA, Vargas M, Helguero CG, Milanezi de Andrade R, Torres-Montoya S, Asensio-Salazar J, Rivero Calle A, Martínez Santos J, Damon A, Quiñones-Hinojosa A, Quintero-Consuegra MD, Umaña JP, Gallo-Bernal S, Briceño M, Tripodi P, Sebastian R, Perales-Villarroel P, De la Cruz-Ku G, Mckenzie T, Arruarana VS, Ji J, Zuluaga L, Haehn DA, Paoli A, Villa JC, Martinez R, Gonzalez C, Grossmann RJ, Escalona G, Cinelli I, Russomano T. Anatomical Engineering and 3D Printing for Surgery and Medical Devices: International Review and Future Exponential Innovations. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6797745. [PMID: 35372574 PMCID: PMC8970887 DOI: 10.1155/2022/6797745] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/16/2022] [Accepted: 02/24/2022] [Indexed: 12/26/2022]
Abstract
Three-dimensional printing (3DP) has recently gained importance in the medical industry, especially in surgical specialties. It uses different techniques and materials based on patients' needs, which allows bioprofessionals to design and develop unique pieces using medical imaging provided by computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, the Department of Biology and Medicine and the Department of Physics and Engineering, at the Bioastronautics and Space Mechatronics Research Group, have managed and supervised an international cooperation study, in order to present a general review of the innovative surgical applications, focused on anatomical systems, such as the nervous and craniofacial system, cardiovascular system, digestive system, genitourinary system, and musculoskeletal system. Finally, the integration with augmented, mixed, virtual reality is analyzed to show the advantages of personalized treatments, taking into account the improvements for preoperative, intraoperative planning, and medical training. Also, this article explores the creation of devices and tools for space surgery to get better outcomes under changing gravity conditions.
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Affiliation(s)
- José Cornejo
- Facultad de Ingeniería, Universidad San Ignacio de Loyola, La Molina, Lima 15024, Peru
- Department of Medicine and Biology & Department of Physics and Engineering, Bioastronautics and Space Mechatronics Research Group, Lima 15024, Peru
| | | | | | | | - Rafhael Milanezi de Andrade
- Robotics and Biomechanics Laboratory, Department of Mechanical Engineering, Universidade Federal do Espírito Santo, Brazil
| | | | | | - Alvaro Rivero Calle
- Department of Oral and Maxillofacial Surgery, Hospital 12 de Octubre, Madrid, Spain
| | - Jaime Martínez Santos
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, USA
| | - Aaron Damon
- Department of Neurosurgery, Mayo Clinic, FL, USA
| | | | | | - Juan Pablo Umaña
- Cardiovascular Surgery, Instituto de Cardiología-Fundación Cardioinfantil, Universidad del Rosario, Bogotá DC, Colombia
| | | | - Manolo Briceño
- Villamedic Group, Lima, Peru
- Clínica Internacional, Lima, Peru
| | | | - Raul Sebastian
- Department of Surgery, Northwest Hospital, Randallstown, MD, USA
| | | | - Gabriel De la Cruz-Ku
- Universidad Científica del Sur, Lima, Peru
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Jiakai Ji
- Obstetrics and Gynecology, Lincoln Medical and Mental Health Center, Bronx, NY, USA
| | - Laura Zuluaga
- Department of Urology, Fundación Santa Fe de Bogotá, Colombia
| | | | - Albit Paoli
- Howard University Hospital, Washington, DC, USA
| | | | | | - Cristians Gonzalez
- Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Institut of Image-Guided Surgery (IHU-Strasbourg), Strasbourg, France
| | | | - Gabriel Escalona
- Experimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Santiago, Chile
| | - Ilaria Cinelli
- Aerospace Human Factors Association, Aerospace Medical Association, VA, USA
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7
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Bastawrous S, Wu L, Liacouras PC, Levin DB, Ahmed MT, Strzelecki B, Amendola MF, Lee JT, Coburn J, Ripley B. Establishing 3D Printing at the Point of Care: Basic Principles and Tools for Success. Radiographics 2022; 42:451-468. [PMID: 35119967 DOI: 10.1148/rg.210113] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
As the medical applications of three-dimensional (3D) printing increase, so does the number of health care organizations in which adoption or expansion of 3D printing facilities is under consideration. With recent advancements in 3D printing technology, medical practitioners have embraced this powerful tool to help them to deliver high-quality patient care, with a focus on sustainability. The use of 3D printing in the hospital or clinic at the point of care (POC) has profound potential, but its adoption is not without unanticipated challenges and considerations. The authors provide the basic principles and considerations for building the infrastructure to support 3D printing inside the hospital. This process includes building a business case; determining the requirements for facilities, space, and staff; designing a digital workflow; and considering how electronic health records may have a role in the future. The authors also discuss the supported applications and benefits of medical 3D printing and briefly highlight quality and regulatory considerations. The information presented is meant to be a practical guide to assist radiology departments in exploring the possibilities of POC 3D printing and expanding it from a niche application to a fixture of clinical care. An invited commentary by Ballard is available online. ©RSNA, 2022.
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Affiliation(s)
- Sarah Bastawrous
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Lei Wu
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Peter C Liacouras
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Dmitry B Levin
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Mohamed Tarek Ahmed
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Brian Strzelecki
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Michael F Amendola
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - James T Lee
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - James Coburn
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
| | - Beth Ripley
- Department of Radiology (S.B., L.W., B.R.) and Department of Medicine, Division of Cardiology (D.B.L.), University of Washington School of Medicine, Seattle, Wash; Departments of Radiology (S.B., L.W., B.R.) and Research and Development (B.S.), VA Puget Sound Health Care System, Mailbox S-114, Radiology, 1660 S Columbian Way, Seattle, WA 98108-1597; 3D Medical Applications Center, Walter Reed National Military Medical Center, Bethesda, Md (P.C.L.); Department of Radiology, University of Kentucky College of Medicine, Lexington, Ky (M.T.A., J.T.L.); Department of Surgery, Division of Vascular Surgery, Surgical Services (112), Virginia Commonwealth University School of Medicine, Richmond, Va (M.F.A.); and Department of Bioengineering, University of Maryland, College Park, Md (J.C.)
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8
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Aseni P, Santaniello T, Rizzetto F, Gentili L, Pezzotta F, Cavaliere F, Vertemati M, Milani P. Hybrid Additive Fabrication of a Transparent Liver with Biosimilar Haptic Response for Preoperative Planning. Diagnostics (Basel) 2021; 11:1734. [PMID: 34574075 PMCID: PMC8471167 DOI: 10.3390/diagnostics11091734] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 12/15/2022] Open
Abstract
Due to the complexity of liver surgery, the interest in 3D printing is constantly increasing among hepatobiliary surgeons. The aim of this study was to produce a patient-specific transparent life-sized liver model with tissue-like haptic properties by combining additive manufacturing and 3D moulding. A multistep pipeline was adopted to obtain accurate 3D printable models. Semiautomatic segmentation and registration of routine medical imaging using 3D Slicer software allowed to obtain digital objects representing the structures of interest (liver parenchyma, vasculo-biliary branching, and intrahepatic lesion). The virtual models were used as the source data for a hybrid fabrication process based on additive manufacturing using soft resins and casting of tissue-mimicking silicone-based blend into 3D moulds. The model of the haptic liver reproduced with high fidelity the vasculo-biliary branching and the relationship with the intrahepatic lesion embedded into the transparent parenchyma. It offered high-quality haptic perception and a remarkable degree of surgical and anatomical information. Our 3D transparent model with haptic properties can help surgeons understand the spatial changes of intrahepatic structures during surgical manoeuvres, optimising preoperative surgical planning.
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Affiliation(s)
- Paolo Aseni
- Department of Emergency, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Department of Biomedical and Clinical Sciences “L. Sacco”, Università degli Studi di Milano, Via Giovanni Battista Grassi 74, 20157 Milano, Italy
| | - Tommaso Santaniello
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Francesco Rizzetto
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Postgraduate School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy
| | - Lorenzo Gentili
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Federico Pezzotta
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Francesco Cavaliere
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Maurizio Vertemati
- Department of Biomedical and Clinical Sciences “L. Sacco”, Università degli Studi di Milano, Via Giovanni Battista Grassi 74, 20157 Milano, Italy
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
| | - Paolo Milani
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
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9
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Gillett D, Bashari W, Senanayake R, Marsden D, Koulouri O, MacFarlane J, van der Meulen M, Powlson AS, Mendichovszky IA, Cheow H, Bird N, Kolias A, Mannion R, Gurnell M. Methods of 3D printing models of pituitary tumors. 3D Print Med 2021; 7:24. [PMID: 34462823 PMCID: PMC8406959 DOI: 10.1186/s41205-021-00118-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 08/15/2021] [Indexed: 12/21/2022] Open
Abstract
Background Pituitary adenomas can give rise to a variety of clinical disorders and surgery is often the primary treatment option. However, preoperative magnetic resonance imaging (MRI) does not always reliably identify the site of an adenoma. In this setting molecular (functional) imaging (e.g. 11C-methionine PET/CT) may help with tumor localisation, although interpretation of these 2D images can be challenging. 3D printing of anatomicalal models for other indications has been shown to aid surgical planning and improve patient understanding of the planned procedure. Here, we explore the potential utility of four types of 3D printing using PET/CT and co-registered MRI for visualising pituitary adenomas. Methods A 3D patient-specific model based on a challenging clinical case was created by segmenting the pituitary gland, pituitary adenoma, carotid arteries and bone using contemporary PET/CT and MR images. The 3D anatomical models were printed using VP, MEX, MJ and PBF 3D printing methods. Different anatomicalal structures were printed in color with the exception of the PBF anatomical model where a single color was used. The anatomical models were compared against the computer model to assess printing accuracy. Three groups of clinicians (endocrinologists, neurosurgeons and ENT surgeons) assessed the anatomical models for their potential clinical utility. Results All of the printing techniques produced anatomical models which were spatially accurate, with the commercial printing techniques (MJ and PBF) and the consumer printing techniques (VP and MEX) demonstrating comparable findings (all techniques had mean spatial differences from the computer model of < 0.6 mm). The MJ, VP and MEX printing techniques yielded multicolored anatomical models, which the clinicians unanimously agreed would be preferable to use when talking to a patient; in contrast, 50%, 40% and 0% of endocrinologists, neurosurgeons and ENT surgeons respectively would consider using the PBF model. Conclusion 3D anatomical models of pituitary tumors were successfully created from PET/CT and MRI using four different 3D printing techniques. However, the expert reviewers unanimously preferred the multicolor prints. Importantly, the consumer printers performed comparably to the commercial MJ printing technique, opening the possibility that these methods can be adopted into routine clinical practice with only a modest investment.
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Affiliation(s)
- Daniel Gillett
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK. .,Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.
| | - Waiel Bashari
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Russell Senanayake
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Daniel Marsden
- Clinical Engineering, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Olympia Koulouri
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - James MacFarlane
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Merel van der Meulen
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Andrew S Powlson
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Iosif A Mendichovszky
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.,Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Heok Cheow
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Nick Bird
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Richard Mannion
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.,Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
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10
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Haleem A, Javaid M, Suman R, Singh RP. 3D Printing Applications for Radiology: An Overview. Indian J Radiol Imaging 2021; 31:10-17. [PMID: 34316106 PMCID: PMC8299499 DOI: 10.1055/s-0041-1729129] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Three-dimensional (3D) printing technologies are part of additive manufacturing processes and are used to manufacture a 3D physical model from a digital computer-aided design model as per the required shape and size. These technologies are now used for advanced radiology applications by providing all information through 3D physical model. It provides innovation in radiology for clinical applications, treatment planning, procedural simulation, medical and patient education. Radiological advancements have been made in diagnosis and communication through medical digital imaging techniques like computed tomography, magnetic resonance imaging. These images are converted into Digital Imaging and Communications in Medicine in Standard Triangulate Language file format, easily printable in 3D printing technologies. This 3D model provides in-depth information about pathologic and anatomic states. It is useful to create new opportunities related to patient care. This article discusses the potential of 3D printing technology in radiology. The steps involved in 3D printing for radiology are discussed diagrammatically, and finally identified 12 significant applications of 3D printing technology for radiology with a brief description. A radiologist can incorporate this technology to fulfil different challenges such as training, planning, guidelines, and better communications.
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Affiliation(s)
- Abid Haleem
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Mohd Javaid
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Rajiv Suman
- Department of Industrial and Production Engineering, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
| | - Ravi Pratap Singh
- Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India
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11
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Talanki VR, Peng Q, Shamir SB, Baete SH, Duong TQ, Wake N. Three-Dimensional Printed Anatomic Models Derived From Magnetic Resonance Imaging Data: Current State and Image Acquisition Recommendations for Appropriate Clinical Scenarios. J Magn Reson Imaging 2021; 55:1060-1081. [PMID: 34046959 DOI: 10.1002/jmri.27744] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 05/08/2021] [Accepted: 05/10/2021] [Indexed: 12/18/2022] Open
Abstract
Three-dimensional (3D) printing technologies have been increasingly utilized in medicine over the past several years and can greatly facilitate surgical planning thereby improving patient outcomes. Although still much less utilized compared to computed tomography (CT), magnetic resonance imaging (MRI) is gaining traction in medical 3D printing. The purpose of this study was two-fold: 1) to determine the prevalence in the existing literature of using MRI to create 3D printed anatomic models for surgical planning and 2) to provide image acquisition recommendations for appropriate clinical scenarios where MRI is the most suitable imaging modality. The workflow for creating 3D printed anatomic models from medical imaging data is complex and involves image segmentation of the regions of interest and conversion of that data into 3D surface meshes, which are compatible with printing technologies. CT is most commonly used to create 3D printed anatomic models due to the high image quality and relative ease of performing image segmentation from CT data. As compared to CT datasets, 3D printing using MRI data offers advantages since it provides exquisite soft tissue contrast needed for accurate organ segmentation and it does not expose patients to unnecessary ionizing radiation. MRI, however, often requires complicated imaging techniques and time-consuming postprocessing procedures to generate high-resolution 3D anatomic models needed for 3D printing. Despite these challenges, 3D modeling and printing from MRI data holds great clinical promises thanks to emerging innovations in both advanced MRI imaging and postprocessing techniques. EVIDENCE LEVEL: 2 TECHNICAL EFFICATCY: 5.
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Affiliation(s)
- Varsha R Talanki
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Qi Peng
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Stephanie B Shamir
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Steven H Baete
- 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, New York, USA
| | - Timothy Q Duong
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Nicole Wake
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, 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, New York, USA
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12
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Santiago L, Volk RJ, Checka CM, Black D, Lee J, Colen JS, Akay C, Caudle A, Kuerer H, Arribas EM. Acceptability of 3D-printed breast models and their impact on the decisional conflict of breast cancer patients: A feasibility study. J Surg Oncol 2021; 123:1206-1214. [PMID: 33577715 DOI: 10.1002/jso.26420] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/14/2021] [Accepted: 01/26/2021] [Indexed: 01/12/2023]
Abstract
PURPOSE To evaluate the acceptability and impact of 3D-printed breast models (3D-BMs) on treatment-related decisional conflict (DC) of breast cancer patients. METHODS Patients with breast cancer were accrued in a prospective institutional review board-approved trial. All patients underwent contrast-enhanced breast magnetic resonance imaging (MRI). A personalized 3D-BM was derived from MRI. DC was evaluated pre- and post-3D-BM review. 3D-BM acceptability was assessed post-3D-BM review. RESULTS DC surveys before and after 3D-BM review and 3D-BM acceptability surveys were completed by 25 patients. 3D-BM were generated in two patients with bilateral breast cancer. The mean patient age was 48.8 years (28-72). The tumor stage was Tis (7), 1 (8), 2 (8), and 3 (4). The nodal staging was 0 (19), 1 (7), and 3 (1). Tumors were unifocal (15), multifocal (8), or multicentric (4). Patients underwent mastectomy (13) and segmental mastectomy (14) with (20) or without (7) oncoplastic intervention. Neoadjuvant therapy was given to seven patients. Patients rated the acceptability of the 3D-BM as good/excellent in understanding their condition (24/24), understanding disease size (25/25), 3D-BM detail (22/25), understanding their surgical options (24/25), encouraging to ask questions (23/25), 3D-BM size (24/25), and impartial to surgical options (17/24). There was a significant reduction in the overall DC post-3D-BM review, indicating patients became more assured of their treatment choice (p = 0.002). Reduction post-3D-BM review was also observed in the uncertainty (p = 0.012), feeling informed about options (p = 0.005), clarity about values (p = 0.032), and effective (p = 0.002) Decisional Conflict Scale subscales. CONCLUSIONS 3D-BMs are an acceptable tool to decrease DC in breast cancer patients.
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Affiliation(s)
- Lumarie Santiago
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Robert J Volk
- Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Cristina M Checka
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Dalliah Black
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Joanna Lee
- Division of Surgical Oncology, UPMC Magee-Womens Hospital, Pittsburgh, Pennsylvania, USA
| | - Jessica S Colen
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Catherine Akay
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Abigail Caudle
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Henry Kuerer
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Elsa M Arribas
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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13
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Tharayil A, Rajakumari R, Chirayil CJ, Thomas S, Kalarikkal N. A short review on nanotechnology interventions against COVID-19. EMERGENT MATERIALS 2021; 4:131-141. [PMID: 33554045 PMCID: PMC7856851 DOI: 10.1007/s42247-021-00163-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/12/2021] [Indexed: 05/02/2023]
Abstract
The COVID-19 has affected all major aspects of the society in a global perspective. The role of nanotechnology is much sought after in fighting this pandemic. Advanced materials based on nanotechnology are the basis of several technologies starting from masks and personal protection equipment to specific diagnostic tools that could diminish the impact of COVID-19. Development of nanotechnology-based products is therefore an absolute necessity for fight against COVID-19. We examine the fundamental concepts related to virology, histopathologic findings and how nanotechnology can help in fighting the disease. In this review we discuss the state of the art and ongoing nanotechnology-based strategies like antiviral coatings, 3D printing and therapeutics to fight against this deadly disease. The importance of using nanoparticles in point of care tests and biosensors is also highlighted.
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Affiliation(s)
- Abhimanyu Tharayil
- School of Energy Materials, Mahatma Gandhi University, Kottayam, Kerala 686560 India
| | - R. Rajakumari
- International and Inter-University Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala 686560 India
| | | | - Sabu Thomas
- School of Energy Materials, Mahatma Gandhi University, Kottayam, Kerala 686560 India
- International and Inter-University Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala 686560 India
- School of Chemical Sciences, Mahatma Gandhi University, Kottayam, Kerala 686560 India
| | - Nandakumar Kalarikkal
- International and Inter-University Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala 686560 India
- School of Pure and Applied Physics, Mahatma Gandhi University, Kottayam, Kerala 686560 India
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