1
|
Queisner M, Eisenträger K. Surgical planning in virtual reality: a systematic review. J Med Imaging (Bellingham) 2024; 11:062603. [PMID: 38680654 PMCID: PMC11043584 DOI: 10.1117/1.jmi.11.6.062603] [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: 08/31/2023] [Revised: 03/05/2024] [Accepted: 03/18/2024] [Indexed: 05/01/2024] Open
Abstract
Purpose Virtual reality (VR) technology has emerged as a promising tool for physicians, offering the ability to assess anatomical data in 3D with visuospatial interaction qualities. The last decade has witnessed a remarkable increase in the number of studies focusing on the application of VR to assess patient-specific image data. This systematic review aims to provide an up-to-date overview of the latest research on VR in the field of surgical planning. Approach A comprehensive literature search was conducted based on the preferred reporting items for systematic reviews and meta-analyses covering the period from April 1, 2021 to May 10, 2023. It includes research articles reporting on preoperative surgical planning using patient-specific medical images in virtual reality using head-mounted displays. The review summarizes the current state of research in this field, identifying key findings, technologies, study designs, methods, and potential directions for future research. Results The selected studies show a positive impact on surgical decision-making and anatomy understanding compared to other visualization modalities. A substantial number of studies are reporting anecdotal evidence and case-specific outcomes. Notably, surgical planning using VR led to more frequent changes in surgical plans compared to planning with other visualization methods when surgeons reassessed their initial plans. VR demonstrated benefits in reducing planning time and improving spatial localization of pathologies. Conclusions Results show that the application of VR for surgical planning is still in an experimental stage but is gradually advancing toward clinical use. The diverse study designs, methodologies, and varying reporting hinder a comprehensive analysis. Some findings lack statistical evidence and rely on subjective assumptions. To strengthen evaluation, future research should focus on refining study designs, improving technical reporting, defining visual and technical proficiency requirements, and enhancing VR software usability and design. Addressing these areas could pave the way for an effective implementation of VR in clinical settings.
Collapse
Affiliation(s)
- Moritz Queisner
- Charité – Universitätsmedizin Berlin, Department of Surgery, Experimental Surgery, Berlin, Germany
- Humboldt Universität zu Berlin, Cluster of Excellence Matters of Activity, Berlin, Germany
| | - Karl Eisenträger
- Charité – Universitätsmedizin Berlin, Department of Surgery, Experimental Surgery, Berlin, Germany
| |
Collapse
|
2
|
Sanchez-Garcia J, Lopez-Verdugo F, Shorti R, Krong J, Zendejas I, Contreras AG, Botha J, Rodriguez-Davalos MI. Training the Next Generation of Transplant Surgeons With a 3-Dimensional Trainer: A Pilot Study. Transplant Direct 2024; 10:e1691. [PMID: 39131239 PMCID: PMC11315563 DOI: 10.1097/txd.0000000000001691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/05/2024] [Accepted: 06/24/2024] [Indexed: 08/13/2024] Open
Abstract
Background In the United States, no published guidelines promote exposure to technical variants (ie, living donor or split liver) during transplant fellowship. Simulation with hands-on liver models may improve training in transplantation. This pilot study addressed 3 overall goals (material and model creation tools, recruitment rates and assessment of workload, and protocol adherence). Methods A patient-specific hands-on liver model was constructed from clinical imaging, and it needed to be resilient and realistic. Multiple types of materials were tested between January 2020 and August 2022. Participants were recruited stepwise. A left lateral segmentectomy simulation was conducted between August 2022 and December 2022 to assess protocol adherence. Results Digital anatomy 3-dimensional printing was considered the best option for the hands-on liver model. The recruitment rate was 100% and 47% for junior attendings and surgical residents, respectively. Ten participants were included and completed all the required surveys. Seven (70%) and 6 (60%) participants "agreed" that the overall quality of the model and the material were acceptable for surgical simulation. Five participants (50%) "agreed" that the training improved their surgical skills. Nine participants (90%) "strongly agreed" that similar sessions should be included in surgical training programs. Conclusions Three-dimensional hands-on liver models have the advantage of tactile feedback and were rated favorably as a potential training tool. Study enrollment for further studies is possible with the support of leadership. Rigorous multicenter designs should be developed to measure the actual impact of 3-dimensional hands-on liver models on surgical training.
Collapse
Affiliation(s)
- Jorge Sanchez-Garcia
- Liver Transplant Service, Intermountain Primary Children’s Hospital, Salt Lake City, UT
| | - Fidel Lopez-Verdugo
- Liver Transplant Service, Intermountain Primary Children’s Hospital, Salt Lake City, UT
| | - Rami Shorti
- Advanced Visualization Engineering, Intermountain Health, Salt Lake City, UT
| | - Jake Krong
- Transplant Research Department, Intermountain Medical Center, Salt Lake City, UT
| | - Ivan Zendejas
- Liver Transplant Service, Intermountain Primary Children’s Hospital, Salt Lake City, UT
| | - Alan G. Contreras
- Liver Transplant Service, Intermountain Primary Children’s Hospital, Salt Lake City, UT
| | - Jean Botha
- Liver Transplant Service, Intermountain Primary Children’s Hospital, Salt Lake City, UT
| | - Manuel I. Rodriguez-Davalos
- Liver Transplant Service, Intermountain Primary Children’s Hospital, Salt Lake City, UT
- Division of Transplantation and Advanced Hepatobiliary Surgery, University of Utah School of Medicine, Salt Lake City, UT
| |
Collapse
|
3
|
Granieri S, Bassetto S, Bonomi A, Germini A, Bruno F, Chierici A, Paleino S, Macone L, Sileo A, Roncaccia V, Motta D, Gjoni E, Cotsoglou C. Three-dimensional reconstruction technology in the preoperative workup of complex hepatic resections. Our experience on 11 consecutive cases. Updates Surg 2024:10.1007/s13304-024-01921-4. [PMID: 38914892 DOI: 10.1007/s13304-024-01921-4] [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: 02/20/2024] [Accepted: 06/19/2024] [Indexed: 06/26/2024]
Abstract
Three-dimensional liver modeling can be a useful tool when planning the preoperative strategy in liver surgery. The present study aims to review our case series of patients requiring complex hepatic resections for primary and secondary liver tumors, and for whom 3D models were built, to add further evidence in this direction. All consecutive patients undergoing complex liver resection were enrolled. Cross-sectional triphasic CT images were obtained for each patient. DICOM images were processed, and full virtual 3D models were generated. The additional details provided by 3D models were employed to better understand the anatomy, to define the most adequate surgical pathway, and, in case, to switch to a different surgical procedure. From January 2020 to September 2022, 11 complex hepatic resections requiring 3D reconstruction technology were performed. Eight 3D models scored ≥ 15 points in the quality control system. A detailed analysis of each case was reported. In three cases (27%) 3DVT helped to understand the anatomy and/or to detect vascular abnormalities. In six cases (54.5%) 3DVT led to a variation of the surgical planning. 3DVT may be helpful in planning preoperatively the most appropriate surgical procedure. Further large-scale, well-designed studies are needed to prove its true effectiveness in HPB surgical oncology.
Collapse
Affiliation(s)
- Stefano Granieri
- General Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy.
| | - Serena Bassetto
- Politecnico di Milano, Scuola di ingengneria industriale e dell'informazione, Via Raffaele Lambruschini, 20156, Milan, Italy
| | | | - Alessandro Germini
- General Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy
| | - Federica Bruno
- General Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy
| | - Andrea Chierici
- Centre Hospitalier Universitaire de Nice-Digestive Surgery and Liver Transplantation Unit, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière, BP 3079, 06200, CEDEX 3, Nice, France
| | - Sissi Paleino
- General Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy
| | - Lorenzo Macone
- University of Milan, Via Festa del Perdono, 7, 20122, Milan, Italy
| | - Annaclara Sileo
- University of Milan, Via Festa del Perdono, 7, 20122, Milan, Italy
| | | | - Daniela Motta
- Clinical Engeneering Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy
| | - Elson Gjoni
- General Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy
| | - Christian Cotsoglou
- General Surgery Unit, ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano, 10, 20871, Vimercate, Italy
| |
Collapse
|
4
|
Sanchez-Garcia J, Lopez-Verdugo F, Shorti R, Krong J, Kastenberg ZJ, Walters S, Gagnon A, Paci P, Zendejas I, Alonso D, Fujita S, Contreras AG, Botha J, Esquivel CO, Rodriguez-Davalos MI. Three-dimensional Liver Model Application for Liver Transplantation. Transplantation 2024; 108:464-472. [PMID: 38259179 DOI: 10.1097/tp.0000000000004730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
BACKGROUND Children are removed from the liver transplant waitlist because of death or progressive illness. Size mismatch accounts for 30% of organ refusal. This study aimed to demonstrate that 3-dimensional (3D) technology is a feasible and accurate adjunct to organ allocation and living donor selection process. METHODS This prospective multicenter study included pediatric liver transplant candidates and living donors from January 2020 to February 2023. Patient-specific, 3D-printed liver models were used for anatomic planning, real-time evaluation during organ procurement, and surgical navigation. The primary outcome was to determine model accuracy. The secondary outcome was to determine the impact of outcomes in living donor hepatectomy. Study groups were analyzed using propensity score matching with a retrospective cohort. RESULTS Twenty-eight recipients were included. The median percentage error was -0.6% for 3D models and had the highest correlation to the actual liver explant (Pearson's R = 0.96, P < 0.001) compared with other volume calculation methods. Patient and graft survival were comparable. From 41 living donors, the median percentage error of the allograft was 12.4%. The donor-matched study group had lower central line utilization (21.4% versus 75%, P = 0.045), shorter length of stay (4 versus 7 d, P = 0.003), and lower mean comprehensive complication index (3 versus 21, P = 0.014). CONCLUSIONS Three-dimensional volume is highly correlated with actual liver explant volume and may vary across different allografts for living donation. The addition of 3D-printed liver models during the transplant evaluation and organ procurement process is a feasible and safe adjunct to the perioperative decision-making process.
Collapse
Affiliation(s)
- Jorge Sanchez-Garcia
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Fidel Lopez-Verdugo
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Rami Shorti
- Emerging Technologies, Intermountain Health, Murray, UT
| | - Jake Krong
- Transplant Research Department, Intermountain Medical Center, Murray, UT
| | - Zachary J Kastenberg
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Division of Pediatric Surgery, University of Utah School of Medicine, Salt Lake City, UT
| | - Shannon Walters
- Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Andrew Gagnon
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Philippe Paci
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Ivan Zendejas
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Diane Alonso
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Shiro Fujita
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Alan G Contreras
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Jean Botha
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Abdominal Transplant Service, Intermountain Medical Center, Murray, UT
| | - Carlos O Esquivel
- Division of Abdominal Transplantation, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA
| | - Manuel I Rodriguez-Davalos
- Liver Center, Intermountain Primary Children's Hospital, Salt Lake City, UT
- Division of Transplant Surgery, University of Utah School of Medicine, Salt Lake City, UT
| |
Collapse
|
5
|
Cotsoglou C, Granieri S, Bassetto S, Bagnardi V, Pugliese R, Grazi GL, Guglielmi A, Ruzzenente A, Aldrighetti L, Ratti F, De Carlis L, De Carlis R, Centonze L, De Angelis N, Memeo R, Delvecchio A, Felli E, Izzo F, Belli A, Patrone R, Ettorre GM, Berardi G, Di Benedetto F, Di Sandro S, Romano F, Garancini M, Scotti MA, Bianchi G, Germini A, Gjoni E, Bonomi A, Bruno F, Paleino S, Pugliese G. Dynamic surgical anatomy using 3D reconstruction technology in complex hepato-biliary surgery with vascular involvement. Results from an international multicentric survey. HPB (Oxford) 2024; 26:83-90. [PMID: 37838501 DOI: 10.1016/j.hpb.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 09/21/2023] [Accepted: 10/01/2023] [Indexed: 10/16/2023]
Abstract
INTRODUCTION Three-dimensional liver modeling can lead to substantial changes in choosing the type and extension of liver resection. This study aimed to explore whether 3D reconstruction helps to better understand the relationship between liver tumors and neighboring vascular structures compared to standard 2D CT scan images. METHODS Contrast-enhanced CT scan images of 11 patients suffering from primary and secondary hepatic tumors were selected. Twenty-three experienced HBP surgeons participated to the survey. A standardized questionnaire outlining 16 different vascular structures (items) having a potential relationship with the tumor was provided. Intraoperative and histopathological findings were used as the reference standard. The proper hypothesis was that 3D accuracy is greater than 2D. As a secondary endpoint, inter-raters' agreement was explored. RESULTS The mean difference between 3D and 2D, was 2.6 points (SE: 0.40; 95 % CI: 1.7-3.5; p < 0.0001). After sensitivity analysis, the results favored 3D visualization as well (mean difference 1.7 points; SE: 0.32; 95 % CI: 1.0-2.5; p = 0.0004). The inter-raters' agreement was moderate for both methods (2D: W = 0.45; 3D: W = 0.44). CONCLUSION 3D reconstruction may give a significant contribution to better understanding liver vascular anatomy and the precise relationship between the tumor and the neighboring structures.
Collapse
Affiliation(s)
- Christian Cotsoglou
- ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
| | - Stefano Granieri
- ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano 10, 20871, Vimercate, Italy
| | - Serena Bassetto
- Politecnico di Milano, Scuola di Ingegneria Industriale e Dell'informazione, Via Raffaele Lambruschini, 15, 20156, Milan, Italy
| | - Vincenzo Bagnardi
- Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Via Bicocca Degli Arcimboldi 8, 20126, Milan, Italy
| | - Raffaele Pugliese
- AIMS Academy Clinical Research Network, Advanced International Mini-Invasive Surgery (AIMS) Academy, Milan, Italy
| | - Gian Luca Grazi
- Hepato-bilio-pancreatic Surgery, Department of Experimental and Clinical Medicine, AOU Careggi, 50134, Florence, Italy
| | - Alfredo Guglielmi
- Department of Surgery, Dentistry, Gynecology and Pediatrics, Division of General and Hepato-Biliary Surgery, University of Verona, P. le L.A. Scuro 10, 37134, Verona, Italy
| | - Andrea Ruzzenente
- Department of Surgery, Dentistry, Gynecology and Pediatrics, Division of General and Hepato-Biliary Surgery, University of Verona, P. le L.A. Scuro 10, 37134, Verona, Italy
| | - Luca Aldrighetti
- Hepatobiliary Surgery Division, IRCCS San Raffaele and Vita-Salute University, Via Olgettina 60, 20132, Milan, Italy
| | - Francesca Ratti
- Hepatobiliary Surgery Division, IRCCS San Raffaele and Vita-Salute University, Via Olgettina 60, 20132, Milan, Italy
| | - Luciano De Carlis
- Department of Transplantation, Division of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Riccardo De Carlis
- Department of Transplantation, Division of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Ph.D. Course in Clinical and Experimental Sciences, University of Padua, Padua, Italy
| | - Leonardo Centonze
- Department of Transplantation, Division of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Nicola De Angelis
- Unit of Colorectal and Digestive Surgery, DIGEST Department, Beaujon University Hospital, AP-HP, University of Paris Cité, Clichy, Paris, France
| | - Riccardo Memeo
- Unit of Hepato-Pancreatic-Biliary Surgery, "F. Miulli" General Regional Hospital, 70021 Acquaviva Delle Fonti, Italy
| | - Antonella Delvecchio
- Unit of Hepato-Pancreatic-Biliary Surgery, "F. Miulli" General Regional Hospital, 70021 Acquaviva Delle Fonti, Italy
| | - Emanuele Felli
- Service Chirurgie Digestive et Transplantation Hépatique, Hôpital Trousseau CHU, 37170 Tours, France
| | - Francesco Izzo
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, 80131, Naples, Italy
| | - Andrea Belli
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, 80131, Naples, Italy
| | - Renato Patrone
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, 80131, Naples, Italy; DIETI Department, University of Naples Federico II, 80100, Naples, Italy
| | - Giuseppe Maria Ettorre
- Department of General and Hepatobiliary Surgery, Liver Transplantation Center, San Camillo-Forlanini Hospital, Rome, Italy
| | - Giammauro Berardi
- Department of General and Hepatobiliary Surgery, Liver Transplantation Center, San Camillo-Forlanini Hospital, Rome, Italy
| | - Fabrizio Di Benedetto
- HPB Surgery and Liver Transplant Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Stefano Di Sandro
- HPB Surgery and Liver Transplant Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Fabrizio Romano
- General Surgery 1, Hepatobiliary Unit, IRCCS San Gerardo Dei Tintori, University of Milano-Bicocca, 20900, Monza, Italy
| | - Mattia Garancini
- General Surgery 1, Hepatobiliary Unit, IRCCS San Gerardo Dei Tintori, University of Milano-Bicocca, 20900, Monza, Italy
| | - Mauro Alessandro Scotti
- General Surgery 1, Hepatobiliary Unit, IRCCS San Gerardo Dei Tintori, University of Milano-Bicocca, 20900, Monza, Italy
| | - Giorgio Bianchi
- Department of Digestive, Hepatobiliary and Endocrine Surgery, Hôpital Cochin, APHP Centre, 75014 Paris, France
| | - Alessandro Germini
- ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano 10, 20871, Vimercate, Italy
| | - Elson Gjoni
- ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano 10, 20871, Vimercate, Italy
| | | | - Federica Bruno
- ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano 10, 20871, Vimercate, Italy
| | - Sissi Paleino
- ASST-Brianza, Vimercate Hospital, Via Santi Cosma e Damiano 10, 20871, Vimercate, Italy
| | - Giacomo Pugliese
- AIMS Academy Clinical Research Network, Advanced International Mini-Invasive Surgery (AIMS) Academy, Milan, Italy
| |
Collapse
|
6
|
Allgaier M, Spitz L, Behme D, Mpotsaris A, Berg P, Preim B, Saalfeld S. Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR. Int J Comput Assist Radiol Surg 2023; 18:2013-2022. [PMID: 36867380 PMCID: PMC10589174 DOI: 10.1007/s11548-023-02851-z] [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: 09/06/2022] [Accepted: 02/06/2023] [Indexed: 03/04/2023]
Abstract
PURPOSE Medical researchers deal with a large amount of patient data to improve future treatment decisions and come up with new hypotheses. To facilitate working with a large database containing many patients and parameters, we propose a virtual data shelf, displaying the 3D anatomical surface models in an immersive VR environment. METHODS Thereby, different functionalities such as sorting, filtering and finding similar cases are included. To provide an appropriate layout and arrangement of 3D models that optimally supports working with the database, three layouts (flat, curved and spherical) and two distances are evaluated. A broad audience study with 61 participants was conducted to compare the different layouts based on their ease of interaction, to get an overview and to explore single cases. Medical experts additionally evaluated medical use cases. RESULTS The study revealed that the flat layout with small distance is significantly faster in providing an overview. Applying the virtual data shelf to the medical use case intracranial aneurysms, qualitative expert feedback with two neuroradiologists and two neurosurgeons was gathered. Most of the surgeons preferred the curved and spherical layouts. CONCLUSION Our tool combines benefits of two data management metaphors, resulting in an efficient way to work with a large database of 3D models in VR. The evaluation gives insight into benefits of layouts as well as possible use cases in medical research.
Collapse
Affiliation(s)
- M Allgaier
- Department of Simulation and Graphics, Otto-von-Guericke University, Magdeburg, Germany.
- Forschungscampus STIMULATE, Magdeburg, Germany.
| | - L Spitz
- Department of Simulation and Graphics, Otto-von-Guericke University, Magdeburg, Germany.
- Forschungscampus STIMULATE, Magdeburg, Germany.
| | - D Behme
- Forschungscampus STIMULATE, Magdeburg, Germany
- Department of Neuroradiology, Otto-von-Guericke University, Magdeburg, Germany
| | - A Mpotsaris
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, Munich Clinic Harlaching, Munich, Germany
| | - P Berg
- Forschungscampus STIMULATE, Magdeburg, Germany
- Institute of Fluid Dynamics and Thermodynamics, Otto-von-Guericke University, Magdeburg, Germany
| | - B Preim
- Department of Simulation and Graphics, Otto-von-Guericke University, Magdeburg, Germany
- Forschungscampus STIMULATE, Magdeburg, Germany
| | - S Saalfeld
- Department of Simulation and Graphics, Otto-von-Guericke University, Magdeburg, Germany
- Forschungscampus STIMULATE, Magdeburg, Germany
| |
Collapse
|
7
|
Li W, Liu Y, Wang Y, Zhang X, Liu K, Jiao Y, Zhang X, Chen J, Zhang T. Educational value of mixed reality combined with a three-dimensional printed model of aortic disease for vascular surgery in the standardized residency training of surgical residents in China: a case control study. BMC MEDICAL EDUCATION 2023; 23:812. [PMID: 37891526 PMCID: PMC10612237 DOI: 10.1186/s12909-023-04610-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 08/24/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND The simulated three-dimensional (3D) printed anatomical model of the aorta, which has become the norm in medical education, has poor authenticity, tactility, feasibility, and interactivity. Therefore, this study explored the educational value and effect of mixed reality (MR) combined with a 3D printed model of aortic disease in training surgical residents. METHOD Fifty-one resident physicians who rotated in vascular surgery were selected and divided into traditional (27) and experimental (24) teaching groups using the random number table method. After undergoing the experimental and traditional training routines on aortic disease, both the groups took a theoretical test on aortic disease and an assessment of the simulation based on the Michigan Standard Simulation Experience Scale (MiSSES) template. Their scores and assessment results were compared. The study was conducted at the Department of Vascular Surgery of Peking University People's Hospital, Beijing, China. RESULTS In the theoretical test on aortic disease, the experimental teaching group obtained higher mean total scores (79.0 ± 9.1 vs. 72.6 ± 7.5, P = 0.013) and higher scores in anatomy/ pathophysiology (30.8 ± 5.4 vs. 24.8 ± 5.8; P < 0.001) than the traditional teaching group. The differences in their scores in the differential diagnosis (25.8 ± 3.0 vs. 23.3 ± 4.9; P = 0.078) and treatment (22.5 ± 11.8 vs. 24.5 ± 8.2; P = 0.603) sessions were insignificant. The MR-assisted teaching stratified the vascular residents through the MiSSES survey. Overall, 95.8% residents (23/24) strongly or somewhat agreed that the MR was adequately realistic and the curriculum helped improve the ability to understanding aortic diseases. Further, 91.7% residents (22/24) strongly or somewhat agreed that the MR-assisted teaching was a good training tool for knowledge on aortic diseases. All residents responded with "Good" or "Outstanding" on the overall rating of the MR experience. CONCLUSIONS MR combined with the 3D printed model helped residents understand and master aortic disease, particularly regarding anatomy and pathophysiology. Additionally, the realistic 3D printing and MR models improved the self-efficacy of residents in studying aortic diseases, thus greatly stimulating their enthusiasm and initiative to study.
Collapse
Affiliation(s)
- Weihao Li
- Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China
| | - Yuanfeng Liu
- Department of Vascular and Endovascular Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, PR China
| | - Yonghui Wang
- Department of Critical Care Medicine, Peking University People's Hospital, Beijing, 100044, PR China
| | - Xuemin Zhang
- Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China
| | - Kun Liu
- Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China
| | - Yang Jiao
- Beijing Renxin Medical Technology Co., Ltd, Beijing, 100041, PR China
| | - Xiaoming Zhang
- Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China
| | - Jie Chen
- Department of Medical Quality Management, Peking University People's Hospital, Beijing, 100044, China.
| | - Tao Zhang
- Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
| |
Collapse
|
8
|
Emmerling M, Tan HJ, Shirk J, Bjurlin M. Applications of 3-Dimensional Virtual Reality Models (Ceevra®) for Surgical Planning of Robotic Surgery. UROLOGY VIDEO JOURNAL 2023. [DOI: 10.1016/j.urolvj.2023.100220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
|
9
|
Hou JX, Deng Z, Liu YY, Xu SK, Li ZX, Sun JC, Zhao MY. A Bibliometric Analysis of the Role of 3D Technology in Liver Cancer Resection. World J Surg 2023; 47:1548-1561. [PMID: 36882637 DOI: 10.1007/s00268-023-06950-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Liver cancer resection is an effective but complex way to treat liver cancer, and complex anatomy is one of the reasons for the difficulty of surgery. The use of 3D technology can help surgeons cope with this dilemma. This article intends to conduct a bibliometric analysis of the role of 3D technology in liver cancer resection. METHODS (TS = (3D) OR TS = (three-dimensional)) AND (TS = (((hepatic) OR (liver)) AND ((cancer) OR (tumor) OR (neoplasm)))) AND (TS = (excision) OR TS = (resection)) was used as a search strategy for data collection in the Web of Science (WoS) Core Collection. CiteSpace, Carrot2 and Microsoft Office Excel were used for data analysis. RESULTS Three hundred and eighty-eight relevant articles were obtained. Their annual and journal distribution maps were produced. Countries/regions and institutions collaboration, author collaboration, references co-citations and their clusters and keywords co-occurrences and their clusters were constructed. Carrot2 cluster analysis was performed. CONCLUSIONS There was an overall upward trend in the number of publications. China's contribution was greater, and the USA had greater influence. Southern Med Univ was the most influential institution. However, the cooperation between institutions still needs to be further strengthened. Surgical Endoscopy and Other Interventional Techniques was the most published journal. Couinaud C and Soyer P were the authors with the highest citations and centrality, respectively. "Liver planning software accurately predicts postoperative liver volume and measures early regeneration" was the most influential article. 3D printing, 3D CT and 3D reconstruction may be the mainstream of current research, and augmented reality (AR) may be a future hot spot.
Collapse
Affiliation(s)
- Jia-Xing Hou
- Department of Hepatopancreatobiliary Surgery, Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zhen Deng
- Department of Hepatopancreatobiliary Surgery, Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Yan-Yu Liu
- Changsha Central Hospital, University of South China, Changsha, China
| | - Shao-Kang Xu
- Department of Hepatopancreatobiliary Surgery, Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zi-Xin Li
- Department of Hepatopancreatobiliary Surgery, Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Ji-Chun Sun
- Department of Hepatopancreatobiliary Surgery, Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, China.
| | - Ming-Yi Zhao
- Department of Hepatopancreatobiliary Surgery, Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, China.
| |
Collapse
|
10
|
Paradigm shift: should preoperative 3D reconstruction models become mandatory before hepatectomy for hepatocellular carcinoma (HCC)? Results of a multicenter prospective trial. HPB (Oxford) 2023; 25:293-300. [PMID: 36710089 DOI: 10.1016/j.hpb.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/16/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND A preoperative surgical strategy before hepatectomy for hepatocellular carcinoma is fundamental to minimize postoperative morbidity and mortality and to reach the best oncologic outcomes. Preoperative 3D reconstruction models may help to better choose the type of procedure to perform and possibly change the initially established plan based on conventional 2D imaging. METHODS A non-randomized multicenter prospective trial with 136 patients presenting with a resectable hepatocellular carcinoma who underwent open or minimally invasive liver resection. Measurement was based on the modification rate analysis between conventional 2D imaging (named "Plan A") and 3D model analysis ("Plan B"), and from Plan B to the final procedure performed (named "Plan C"). RESULTS The modification rate from Plan B to Plan C (18%) was less frequent than the modification from Plan A to Plan B (35%) (OR = 0.32 [0.15; 0.64]). Concerning secondary objectives, resection margins were underestimated in Plan B as compared to Plan C (-3.10 mm [-5.04; -1.15]). CONCLUSION Preoperative 3D imaging is associated with a better prediction of the performed surgical procedure for liver resections in HCC, as compared to classical 2D imaging.
Collapse
|
11
|
Shahbaz M, Miao H, Farhaj Z, Gong X, Weikai S, Dong W, Jun N, Shuwei L, Yu D. Mixed reality navigation training system for liver surgery based on a high-definition human cross-sectional anatomy data set. Cancer Med 2023; 12:7992-8004. [PMID: 36607128 PMCID: PMC10134360 DOI: 10.1002/cam4.5583] [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: 07/26/2022] [Revised: 11/24/2022] [Accepted: 12/17/2022] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVES This study aims to use the three-dimensional (3D) mixed-reality model of liver, entailing complex intrahepatic systems and to deeply study the anatomical structures and to promote the training, diagnosis and treatment of liver diseases. METHODS Vascular perfusion human specimens were used for thin-layer frozen milling to obtain liver cross-sections. The 104-megapixel-high-definition cross sectional data set was established and registered to achieve structure identification and manual segmentation. The digital model was reconstructed and data was used to print a 3D hepatic model. The model was combined with HoloLens mixed reality technology to reflect the complex relationships of intrahepatic systems. We simulated 3D patient specific anatomy for identification and preoperative planning, conducted a questionnaire survey, and evaluated the results. RESULTS The 3D digital model and 1:1 transparent and colored model of liver established truly reflected intrahepatic vessels and their complex relationships. The reconstructed model imported into HoloLens could be accurately matched with the 3D model. Only 7.7% participants could identify accessory hepatic veins. The depth and spatial-relationship of intrahepatic structures were better understandable for 92%. The 100%, 84.6%, 69% and 84% believed the 3D models were useful in planning, safer surgical paths, reducing intraoperative complications and training of young surgeons respectively. CONCLUSIONS A detailed 3D model can be reconstructed using the higher quality cross-sectional anatomical data set. When combined with 3D printing and HoloLens technology, a novel hybrid-reality navigation-training system for liver surgery is created. Mixed Reality training is a worthy alternative to provide 3D information to clinicians and its possible application in surgery. This conclusion was obtained based on a questionnaire and evaluation. Surgeons with extensive experience in surgical operations perceived in the questionnaire that this technology might be useful in liver surgery, would help in precise preoperative planning, accurate intraoperative identification, and reduction of hepatic injury.
Collapse
Affiliation(s)
- Muhammad Shahbaz
- Department of Radiology, Qilu Hospital of Shandong UniversityJinanShandongChina
- Research Center for Sectional and Imaging AnatomyDigital Human Institute, School of Basic Medical Science, Shandong UniversityJinanShandongChina
- Department of General SurgeryQilu Hospital of Shandong UniversityJinanShandongChina
| | - Huachun Miao
- Department of Anatomy, Wannan Medical CollegeWuhuAnhuiChina
| | - Zeeshan Farhaj
- Department of Cardiovascular Surgery, Shandong Qianfoshan Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Xin Gong
- Department of Anatomy, Wannan Medical CollegeWuhuAnhuiChina
| | - Sun Weikai
- Department of Radiology, Qilu Hospital of Shandong UniversityJinanShandongChina
| | - Wenqing Dong
- Department of Anatomy, Wannan Medical CollegeWuhuAnhuiChina
| | - Niu Jun
- Department of General SurgeryQilu Hospital of Shandong UniversityJinanShandongChina
| | - Liu Shuwei
- Research Center for Sectional and Imaging AnatomyDigital Human Institute, School of Basic Medical Science, Shandong UniversityJinanShandongChina
| | - Dexin Yu
- Department of Radiology, Qilu Hospital of Shandong UniversityJinanShandongChina
| |
Collapse
|
12
|
Koea J, Chao P, Laurie M, Yeo N, Phang M, Srinivasa S. Hepatectomy and pancreatectomy: how we could do it. ANZ J Surg 2023; 93:339-341. [PMID: 36420858 DOI: 10.1111/ans.18174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 10/26/2022] [Accepted: 11/11/2022] [Indexed: 11/25/2022]
Abstract
Visible patient software provides surgeons and trainees with the opportunity to construct accurate three dimensional models of patients liver and pancreas which reflect tumour location and unique anatomical features. These can be used for operative planning, patient discussions, operative rehearsal and teaching as well as pre and postoperative briefings.
Collapse
Affiliation(s)
- Jonathan Koea
- Department of Surgery, North Shore Hospital and the University of Auckland, Auckland, New Zealand
| | - Phillip Chao
- Department of Surgery, North Shore Hospital and the University of Auckland, Auckland, New Zealand
| | - Malcom Laurie
- Department of Tech, MedTech Johnson and Johnson (New Zealand) Ltd, Auckland, New Zealand
| | - Nicholas Yeo
- Department of 3D Printing and Fabrication, 3DP Point of Care Johnson and Johnson (Singapore) Ltd, Singapore
| | - Melinda Phang
- Department of Digital Education, Digital Education ASPAC Johnson and Johnson (Australia) Ltd, Melbourne, Australia
| | - Sanket Srinivasa
- Department of Surgery, North Shore Hospital and the University of Auckland, Auckland, New Zealand
| |
Collapse
|
13
|
Rashidian N, Giglio MC, Van Herzeele I, Smeets P, Morise Z, Alseidi A, Troisi RI, Willaert W. Effectiveness of an immersive virtual reality environment on curricular training for complex cognitive skills in liver surgery: a multicentric crossover randomized trial. HPB (Oxford) 2022; 24:2086-2095. [PMID: 35961933 DOI: 10.1016/j.hpb.2022.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/26/2022] [Accepted: 07/13/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Virtual reality (VR) is increasingly used in surgical education, but evidence of its benefits in complex cognitive training compared to conventional 3-dimensional (3D) visualization methods is lacking. The objective of this study is to assess the impact of 3D liver models rendered visible by VR or desktop interfaces (DIs) on residents' performance in clinical decision-making. METHOD From September 2020 to April 2021, a single-blinded, crossover randomized educational intervention trial was conducted at two university hospitals in Belgium and Italy. A proficiency-based stepwise curriculum for preoperative liver surgery planning was developed for general surgery residents. After completing the training, residents were randomized in one of two assessment sequences to evaluate ten real clinical scenarios. RESULTS Among the 50 participants, 46 (23 juniors/23 seniors) completed the training and were randomized. Forty residents (86.96%) achieved proficiency in decision-making. The accuracy of virtual surgical planning using VR was higher than that using DI in both groups A (8.43 ± 1.03 vs 6.86 ± 1.79, p < 0.001) and B (8.08 ± 0.9 vs 6.52 ± 1.37, p < 0.001). CONCLUSION Proficiency-based curricular training for liver surgery planning successfully resulted in the acquisition of complex cognitive skills. VR was superior to DI visualization of 3D models in decision-making. CLINICALTRIALS GOV ID NCT04959630.
Collapse
Affiliation(s)
- Nikdokht Rashidian
- Department of Human Structure and Repair, Ghent University Faculty of Medicine, Belgium.
| | - Mariano C Giglio
- Division of HPB, Minimally Invasive and Robotic Surgery, Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy
| | | | - Peter Smeets
- Department of Radiology, Ghent University Hospital, Belgium
| | - Zenichi Morise
- Department of Surgery, Fujita Health University School of Medicine, Toyoake, Japan
| | - Adnan Alseidi
- Department of Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Roberto I Troisi
- Department of Human Structure and Repair, Ghent University Faculty of Medicine, Belgium; Division of HPB, Minimally Invasive and Robotic Surgery, Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy
| | - Wouter Willaert
- Department of Human Structure and Repair, Ghent University Faculty of Medicine, Belgium
| |
Collapse
|
14
|
Cheng J, Wang Z, Liu J, Dou C, Yao W, Zhang C. Value of 3D printing technology combined with indocyanine green fluorescent navigation in complex laparoscopic hepatectomy. PLoS One 2022; 17:e0272815. [PMID: 35951521 PMCID: PMC9371281 DOI: 10.1371/journal.pone.0272815] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 07/26/2022] [Indexed: 11/26/2022] Open
Abstract
Background Laparoscopic hepatectomy (LH) has achieved rapid progress over the last decade. However, it is still challenging to apply laparoscopy to lesions located in segments I, VII, VIII, and IVa and the hepatic hilar region due to difficulty operating around complex anatomical structures. In this study, we applied three-dimensional printing (3DP) and indocyanine green (ICG) fluorescence imaging technology to complex laparoscopic hepatectomy (CLH) to explore the effects and value of the modified procedure. Materials and methods From January 2019 to January 2021, 54 patients with complex hepatobiliary diseases underwent LH at our center. Clinical data were collected from these patients and retrospectively analyzed. Results A total of 30 patients underwent CLH using the conventional approach, whereas 24 cases received CLH with 3DP technology and ICG fluorescent navigation. Preoperative data were compared between the two groups. In the 3DP group, we modified the surgical strategy of four patients (4/24, 16.7%) due to real-time intraoperative navigation with 3DP and ICG fluorescent imaging technology. We did not modify the surgical strategy for any patient in the non-3DP group (P = 0.02). There were no significant differences between the non-3DP and 3DP groups regarding operating time (297.7±104.1 min vs. 328.8±110.9 min, P = 0.15), estimated blood loss (400±263.8 ml vs. 345.8±356.1 ml, P = 0.52), rate of conversion to laparotomy (3/30 vs. 2/24, P = 0.79), or pathological outcomes including the incidence of microscopical R0 margins (28/30 vs. 24/24, P = 0.57). Additionally, there were no significant differences in postoperative complications or recovery conditions between the two groups. No instances of 30- or 90-day mortality were observed. Conclusion The optimal surgical strategy for CLH can be chosen with the help of 3DP technology and ICG fluorescent navigation. This modified procedure is both safe and effective, but without improvement of intraoperative and short-term outcomes.
Collapse
Affiliation(s)
- Jian Cheng
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Zhifei Wang
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Jie Liu
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Changwei Dou
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Weifeng Yao
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Chengwu Zhang
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
- * E-mail:
| |
Collapse
|
15
|
Huber T, Huettl F, Hanke LI, Vradelis L, Heinrich S, Hansen C, Boedecker C, Lang H. Leberchirurgie 4.0 - OP-Planung, Volumetrie, Navigation und Virtuelle
Realität. Zentralbl Chir 2022; 147:361-368. [DOI: 10.1055/a-1844-0549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
ZusammenfassungDurch die Optimierung der konservativen Behandlung, die Verbesserung der
bildgebenden Verfahren und die Weiterentwicklung der Operationstechniken haben
sich das operative Spektrum sowie der Maßstab für die Resektabilität in Bezug
auf die Leberchirurgie in den letzten Jahrzehnten deutlich verändert.Dank zahlreicher technischer Entwicklungen, insbesondere der 3-dimensionalen
Segmentierung, kann heutzutage die präoperative Planung und die Orientierung
während der Operation selbst, vor allem bei komplexen Eingriffen, unter
Berücksichtigung der patientenspezifischen Anatomie erleichtert werden.Neue Technologien wie 3-D-Druck, virtuelle und augmentierte Realität bieten
zusätzliche Darstellungsmöglichkeiten für die individuelle Anatomie.
Verschiedene intraoperative Navigationsmöglichkeiten sollen die präoperative
Planung im Operationssaal verfügbar machen, um so die Patientensicherheit zu
erhöhen.Dieser Übersichtsartikel soll einen Überblick über den gegenwärtigen Stand der
verfügbaren Technologien sowie einen Ausblick in den Operationssaal der Zukunft
geben.
Collapse
Affiliation(s)
- Tobias Huber
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| | - Florentine Huettl
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| | - Laura Isabel Hanke
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| | - Lukas Vradelis
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| | - Stefan Heinrich
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| | - Christian Hansen
- Fakultät für Informatik, Otto von Guericke Universität
Magdeburg, Magdeburg, Deutschland
| | - Christian Boedecker
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| | - Hauke Lang
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie,
Universitätsmedizin Mainz, Mainz, Deutschland
| |
Collapse
|
16
|
Ahmed F, Jahagirdar V, Gudapati S, Mouchli M. Three-dimensional visualization and virtual reality simulation role in hepatic surgery: Further research warranted. World J Gastrointest Surg 2022; 14:723-726. [PMID: 36158284 PMCID: PMC9353753 DOI: 10.4240/wjgs.v14.i7.723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/05/2022] [Accepted: 06/26/2022] [Indexed: 02/06/2023] Open
Abstract
Artificial intelligence (AI) is the study of algorithms that enable machines to analyze and execute cognitive activities including problem solving, object and word recognition, reduce the inevitable errors to improve the diagnostic accuracy, and decision-making. Hepatobiliary procedures are technically complex and the use of AI in perioperative management can improve patient outcomes as discussed below. Three-dimensional (3D) reconstruction of images obtained via ultrasound, computed tomography scan or magnetic resonance imaging, can help surgeons better visualize the surgical sites with added depth perception. Pre-operative 3D planning is associated with lesser operative time and intraoperative complications. Also, a more accurate assessment is noted, which leads to fewer operative complications. Images can be converted into physical models with 3D printing technology, which can be of educational value to students and trainees. 3D images can be combined to provide 3D visualization, which is used for preoperative navigation, allowing for more precise localization of tumors and vessels. Nevertheless, AI enables surgeons to provide better, personalized care for each patient.
Collapse
Affiliation(s)
- Faiza Ahmed
- Division of Clinical and Translational Research, Larkin Community Hospital, South Miami, FL 33143, United States
| | - Vinay Jahagirdar
- Department of Internal Medicine, University of Missouri Kansas City School of Medicine, Kansas City, MO 64108, United States
| | - Sravya Gudapati
- Department of Gastroenterology, The Illinois Center for Digestive and Liver Health, Chicago, IL 60660, United States
| | - Mohamad Mouchli
- Department of Gastroenterology, Cleveland Clinic, Cleveland, OH 44195, United States
| |
Collapse
|
17
|
Influence of Three-Dimensional Visual Reconstruction Technology Combined with Virtual Surgical Planning of CTA Images on Precise Resection of Liver Cancer in Hepatobiliary Surgery. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:4376654. [PMID: 35844455 PMCID: PMC9283065 DOI: 10.1155/2022/4376654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 05/16/2022] [Accepted: 05/19/2022] [Indexed: 11/20/2022]
Abstract
Hepatobiliary malignancies, such as hepatocellular carcinoma (HCC) and biliary tract cancers, namely, gallbladder carcinoma and cholangiocarcinoma, are linked to a high rate of morbidity and mortality, depending on the phase of the disease. The intricate hepatobiliary anatomy and the need for accurate peroperative management, especially in patients with advanced liver disease, make these tumors difficult to treat. Surgical resection is a notable therapy for hepatobiliary cancers. Unnecessary or excessive liver excision influences patient rehabilitation, normal liver function, and postoperative complications. Hepatobiliary operations must therefore include accurate liver removal. The present advancements in imaging technology are aimed at improving the diagnostic efficacy of liver injury even more. Three-dimensional visual reconstruction is becoming more important in the diagnosis as well as treatment of a variety of disorders. In this paper, we proposed a novel three-dimensional visual reconstruction technology using enhanced nonuniform rational basis spline (ENURBS) combined with virtual surgical planning of Computed Tomography Angiography (CTA) images for precise liver cancer resection. The purpose of this project is to rebuild 2D CTA scan images of liver cancer into a 3D reconstructed model for efficient visualization and diagnosis of liver cancer and to prepare an effective preoperative surgical plan for precise liver excision based on a 3D recreated liver model. This method's performance is compared to that of 2D planning in terms of accuracy and time taken to complete the plan. It is concluded that our proposed technique outperforms the planning technique based on 2D images.
Collapse
|
18
|
Allgaier M, Chheang V, Saalfeld P, Apilla V, Huber T, Huettl F, Neyazi B, Sandalcioglu IE, Hansen C, Preim B, Saalfeld S. A comparison of input devices for precise interaction tasks in VR-based surgical planning and training. Comput Biol Med 2022; 145:105429. [DOI: 10.1016/j.compbiomed.2022.105429] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/06/2022] [Accepted: 03/19/2022] [Indexed: 01/22/2023]
|
19
|
Huber T, Hanke LI, Boedecker C, Vradelis L, Baumgart J, Heinrich S, Bartsch F, Mittler J, Schulze A, Hansen C, Hüttl F, Lang H. Patient-individualized resection planning in liver surgery using 3D print and virtual reality (i-LiVR)-a study protocol for a prospective randomized controlled trial. Trials 2022; 23:403. [PMID: 35562806 PMCID: PMC9100295 DOI: 10.1186/s13063-022-06347-0] [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: 02/24/2022] [Accepted: 04/23/2022] [Indexed: 11/25/2022] Open
Abstract
Background A multitude of different diseases—benign and malign—can require surgery of the liver. The liver is an especially challenging organ for resection planning due to its unique and interindividually variable anatomy. This demands a high amount of mental imagination from the surgeon in order to plan accordingly - a skill, which takes years of training to acquire and which is difficult to teach. Since the volume of the functional remnant liver is of great importance, parenchyma sparing resections are favoured. 3D reconstructions of computed tomography imaging enable a more precise understanding of anatomy and facilitate resection planning. The modality of presentation of these 3D models ranges from 2D monitors to 3D prints and virtual reality applications. Methods The presented trial compares three different modes of demonstration of a 3D reconstruction of CT scans of the liver, which are 3D print, a demonstration on a regular computer screen or using a head-mounted virtual reality headset, with the current gold standard of viewing the CT scan on a computer screen. The group size was calculated with n=25 each. Patients with major liver resections in a laparoscopic or open fashion are eligible for inclusion. Main endpoint is the comparison of the quotient between planned resection volume and actual resection volume between these groups. Secondary endpoints include usability for the surgical team as well as patient specifics and perioperative outcome measures and teaching issues. Discussion The described study will give insight in systematic planning of liver resections and the comparison of different demonstration modalities of 3D reconstruction of preoperative CT scans and the preference of technology. Especially teaching of these demanding operations is underrepresented in prior investigations. Trial registration Prospective trials registration at the German Clinical Trials register with the registration number DRKS00027865. Registration Date: January 24, 2022. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06347-0.
Collapse
Affiliation(s)
- Tobias Huber
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany.
| | - Laura Isabel Hanke
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Christian Boedecker
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Lukas Vradelis
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Janine Baumgart
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Stefan Heinrich
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Fabian Bartsch
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Jens Mittler
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Alicia Schulze
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany
| | - Christian Hansen
- Institute of Simulation and Graphics, Faculty of Informatics, University Magdeburg, Magdeburg, Germany
| | - Florentine Hüttl
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| | - Hauke Lang
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany
| |
Collapse
|
20
|
Fabrication and evaluation of customized implantable drug delivery system for orthopedic therapy based on 3D printing technologies. Int J Pharm 2022; 618:121679. [PMID: 35314275 DOI: 10.1016/j.ijpharm.2022.121679] [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: 12/15/2021] [Revised: 02/18/2022] [Accepted: 03/15/2022] [Indexed: 10/18/2022]
Abstract
A customized implantable drug delivery system with the dual functions of playing a supporting role and providing continuous bacteriostasis is of great importance during the treatment of bone defect diseases. The main objective of this study was to explore the potential of using three-dimensional (3D) printing technologies to fabricate customized implants. Ciprofloxacin hydrochloride (Cipro) was chosen as the model drug, and two printing technologies, semisolid extrusion (SSE) and fused deposition modeling (FDM) were introduced. Six kinds of implants with customized irregular shapes were printed via FDM technology. Two kinds of implants with customized dosages were constructed via SSE technology. In addition, three kinds of implants with customized internal structures were produced via FDM and SSE technologies. The data for morphology, dimensions and mechanical properties demonstrated satisfactory printability and good printing accuracy when applying SSE and FDM technologies to produce the customized implants. The dissolution curves indicated that the desired customized drug release could be achieved by designing the specific internal structures. The biocompatibility examination showed that the printed implants possessed outstanding biocompatibility. In conclusion, all results suggested that 3D printing technologies provide a feasible method and novel strategy to fabricate customized implantable drug delivery systems.
Collapse
|
21
|
Wu Q, Wang Y, Lu L, Chen Y, Long H, Wang J. Virtual Simulation in Undergraduate Medical Education: A Scoping Review of Recent Practice. Front Med (Lausanne) 2022; 9:855403. [PMID: 35433717 PMCID: PMC9006810 DOI: 10.3389/fmed.2022.855403] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/10/2022] [Indexed: 01/05/2023] Open
Abstract
Virtual simulation (VS) as an emerging interactive pedagogical strategy has been paid more and more attentions in the undergraduate medical education. Because of the fast development of modern computer simulation technologies, more and more advanced and emerging VS-based instructional practices are constantly increasing to promote medical education in diverse forms. In order to describe an overview of the current trends in VS-based medical teaching and learning, this scoping review presented a worldwide analysis of 92 recently published articles of VS in the undergraduate medical teaching and learning. The results indicated that 98% of included articles were from Europe, North America, and Asia, suggesting a possible inequity in digital medical education. Half (52%) studies reported the immersive virtual reality (VR) application. Evidence for educational effectiveness of VS in medical students’ knowledge or skills was sufficient as per Kirkpatrick’s model of outcome evaluation. Recently, VS has been widely integrated in surgical procedural training, emergency and pediatric emergency medicine training, teaching of basic medical sciences, medical radiation and imaging, puncture or catheterization training, interprofessional medical education, and other case-based learning experiences. Some challenges, such as accessibility of VS instructional resources, lack of infrastructure, “decoupling” users from reality, as well as how to increase students’ motivation and engagement, should be addressed.
Collapse
Affiliation(s)
- Qingming Wu
- College of Medicine, Wuhan University of Science and Technology, Wuhan, China
- Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Yubin Wang
- College of Medicine, Wuhan University of Science and Technology, Wuhan, China
| | - Lili Lu
- College of Medicine, Wuhan University of Science and Technology, Wuhan, China
| | - Yong Chen
- College of Medicine, Wuhan University of Science and Technology, Wuhan, China
| | - Hui Long
- Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Jun Wang
- College of Medicine, Wuhan University of Science and Technology, Wuhan, China
- *Correspondence: Jun Wang,
| |
Collapse
|
22
|
Saito Y, Shimada M, Morine Y, Yamada S, Sugimoto M. Essential updates 2020/2021: Current topics of simulation and navigation in hepatectomy. Ann Gastroenterol Surg 2022; 6:190-196. [PMID: 35261944 PMCID: PMC8889864 DOI: 10.1002/ags3.12542] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/26/2021] [Accepted: 12/14/2021] [Indexed: 01/01/2023] Open
Abstract
With the development of three-dimensional (3D) simulation software, preoperative simulation technology is almost completely established. The remaining issue is how to recognize anatomy three-dimensionally. Extended reality is a newly developed technology with several merits for surgical application: no requirement for a sterilized display monitor, better spatial awareness, and the ability to share 3D images among all surgeons. Various technology or devices for intraoperative navigation have also been developed to support the safety and certainty of liver surgery. Consensus recommendations regarding indocyanine green fluorescence were determined in 2021. Extended reality has also been applied to intraoperative navigation, and artificial intelligence (AI) is one of the topics of real-time navigation. AI might overcome the problem of liver deformity with automatic registration. Including the issues described above, this article focuses on recent advances in simulation and navigation in liver surgery from 2020 to 2021.
Collapse
Affiliation(s)
- Yu Saito
- Department of SurgeryTokushima UniversityTokushimaJapan
| | | | - Yuji Morine
- Department of SurgeryTokushima UniversityTokushimaJapan
| | | | - Maki Sugimoto
- Department of SurgeryTokushima UniversityTokushimaJapan
- Okinaga Research InstituteTeikyo UniversityChiyoda‐kuJapan
| |
Collapse
|
23
|
Huber T, Hüttl F, Braun B, Blank B, Schierholz S, Fritz T, Kroeplin J. [Fridays for future! - All days for surgery! : Thoughts of young surgeons on a modern promotion of the next generation]. Chirurg 2022; 93:250-255. [PMID: 35132445 DOI: 10.1007/s00104-022-01577-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2022] [Indexed: 01/10/2023]
Abstract
In order to be able to exploit the increasing complexity of modern surgery as best as possible in the future, the focus of young surgeons is on horizontal networking in addition to vertical networking: More interdisciplinary cooperation, more diversity, more perspectives. Future effective project work thrives on the exchange of young specialist society forums, junior resident spokespersons and junior student representation. However, the increasing establishment of mentoring programs and the experiences from daily practice show that this does not work without the experience and the readiness of the "greats" to impart knowledge. This article sketches the current challenges for the next generation of surgeons in the three fields of surgical training, life and surgery as well as promotion of excellence in academic surgery.
Collapse
Affiliation(s)
- Tobias Huber
- Klinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55130, Mainz, Deutschland.
| | - Florentine Hüttl
- Klinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55130, Mainz, Deutschland
| | - Benedikt Braun
- Unfall- und Wiederherstellungschirurgie, BG Klinik Tübingen, Tübingen, Deutschland
| | - Beate Blank
- Klinik für Plastische und Handchirurgie, Klinikum Kulmbach, Kulmbach, Deutschland
| | - Stefanie Schierholz
- Klinik für Chirurgie, Bereich Thoraxchirurgie, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Deutschland
| | - Tobias Fritz
- Klinik für Unfall‑, Hand- und Wiederherstellungschirurgie, Universitätsklinikum des Saarlandes, Homburg, Deutschland
| | - Juliane Kroeplin
- Mund-Kiefer- und Gesichtschirurgie, Helios Kliniken Schwerin, Schwerin, Deutschland
| |
Collapse
|
24
|
Tsioukas V, Tsoulfas G. A window to the future of liver surgery: a brave new world! ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1509. [PMID: 34805371 PMCID: PMC8573429 DOI: 10.21037/atm-21-4527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 09/08/2021] [Indexed: 12/02/2022]
Affiliation(s)
- Vassilios Tsioukas
- School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Tsoulfas
- Department of Transplantation Surgery, Aristotle University School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| |
Collapse
|