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Lu Y, Huang C, Fu W, Gao L, Mi N, Ma H, Bai M, Xia Z, Zhang X, Tian L, Zhao J, Jiang N, Wang L, Zhong R, Zhang C, Wang Y, Lin Y, Yue P, Meng W. Design of the distribution of iron oxide (Fe 3O 4) nano-particle drug in realistic cholangiocarcinoma model and the simulation of temperature increase during magnetic induction hyperthermia. Pharmacol Res 2024:107333. [PMID: 39089399 DOI: 10.1016/j.phrs.2024.107333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 08/04/2024]
Abstract
The prognosis for Cholangiocarcinoma (CCA) is unfavorable, necessitating the development of new therapeutic approach such as magnetic hyperthermia therapy (MHT) which is induced by magnetic nano-particle (MNPs) drug to bridge the treatment gap. Given the deep location of CCA within the abdominal cavity and proximity to vital organs, accurately predict the individualized treatment effects and safety brought by the distribution of MNPs in tumor will be crucial for the advancement of MHT in CCA. The Mimics software was used in this study to conduct three-dimensional reconstruction of abdominal computed tomography (CT) and magnetic reso-nance imaging images from clinical patients, resulting in the generation of a realistic digital geometric model representing the human biliary tract and its adjacent structures. Subsequently, The COMSOL Multiphysics software was utilized for modeling CCA and calculating the heat transfer law resulting from the multi-regional distribution of MNPs in CCA. The temperature within the central region of irregular CCA measured approximately 46°C, and most areas within the tumor displayed temperatures surpassing 41°C. The temperature of the inner edge of CCA is only 39 ~ 41℃, however, it can be ameliorated by adjusting the local drug concentration through simulation system. For CCA with diverse morphologies and anatomical locations, the multi-regional distribution patterns of intratumoral MNPs and a slight overlap of drug distribution areas synergistically enhance intratumoral temperature while ensuring treatment safety. The present study highlights the practicality and imperative of incorporating personalized intratumoral MNPs distribution strategy into clinical practice for MHT, which can be achieved through the development of an integrated simulation system which incorporates medical image data and numerical calculations.
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Affiliation(s)
- Yawen Lu
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Chongfei Huang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - WenKang Fu
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Long Gao
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Ningning Mi
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Haidong Ma
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Mingzhen Bai
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Zhili Xia
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Xianzhuo Zhang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Liang Tian
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Jinyu Zhao
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Ningzu Jiang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Leiqing Wang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Ruyang Zhong
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Chao Zhang
- The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China
| | - Yeying Wang
- Medical Frontier Innovation Research Center, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - YanYan Lin
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730030, China
| | - Ping Yue
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730030, China
| | - Wenbo Meng
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730030, China; Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou 730030, China.
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Isikay I, Cekic E, Baylarov B, Tunc O, Hanalioglu S. Narrative review of patient-specific 3D visualization and reality technologies in skull base neurosurgery: enhancements in surgical training, planning, and navigation. Front Surg 2024; 11:1427844. [PMID: 39081485 PMCID: PMC11287220 DOI: 10.3389/fsurg.2024.1427844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024] Open
Abstract
Recent advances in medical imaging, computer vision, 3-dimensional (3D) modeling, and artificial intelligence (AI) integrated technologies paved the way for generating patient-specific, realistic 3D visualization of pathological anatomy in neurosurgical conditions. Immersive surgical simulations through augmented reality (AR), virtual reality (VR), mixed reality (MxR), extended reality (XR), and 3D printing applications further increased their utilization in current surgical practice and training. This narrative review investigates state-of-the-art studies, the limitations of these technologies, and future directions for them in the field of skull base surgery. We begin with a methodology summary to create accurate 3D models customized for each patient by combining several imaging modalities. Then, we explore how these models are employed in surgical planning simulations and real-time navigation systems in surgical procedures involving the anterior, middle, and posterior cranial skull bases, including endoscopic and open microsurgical operations. We also evaluate their influence on surgical decision-making, performance, and education. Accumulating evidence demonstrates that these technologies can enhance the visibility of the neuroanatomical structures situated at the cranial base and assist surgeons in preoperative planning and intraoperative navigation, thus showing great potential to improve surgical results and reduce complications. Maximum effectiveness can be achieved in approach selection, patient positioning, craniotomy placement, anti-target avoidance, and comprehension of spatial interrelationships of neurovascular structures. Finally, we present the obstacles and possible future paths for the broader implementation of these groundbreaking methods in neurosurgery, highlighting the importance of ongoing technological advancements and interdisciplinary collaboration to improve the accuracy and usefulness of 3D visualization and reality technologies in skull base surgeries.
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Affiliation(s)
- Ilkay Isikay
- Department of Neurosurgery, Faculty of Medicine, Hacettepe University, Ankara, Türkiye
| | - Efecan Cekic
- Neurosurgery Clinic, Polatli Duatepe State Hospital, Ankara, Türkiye
| | - Baylar Baylarov
- Department of Neurosurgery, Faculty of Medicine, Hacettepe University, Ankara, Türkiye
| | - Osman Tunc
- Btech Innovation, METU Technopark, Ankara, Türkiye
| | - Sahin Hanalioglu
- Department of Neurosurgery, Faculty of Medicine, Hacettepe University, Ankara, Türkiye
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Lau Rui Han S, Xiang J, Zeng XX, Fan PD, Cheng QY, Zhou XM, Ye Z, Xiong X, Wang J. Relationship Between Temporomandibular Joint Effusion, Pain, and Jaw Function Limitation: A 2D and 3D Comparative Study. J Pain Res 2024; 17:2051-2062. [PMID: 38881762 PMCID: PMC11180444 DOI: 10.2147/jpr.s448283] [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: 04/19/2024] [Accepted: 05/26/2024] [Indexed: 06/18/2024] Open
Abstract
Purpose This study aimed to investigate the relationship between temporomandibular joint (TMJ) effusion and TMJ pain, as well as jaw function limitation in patients via two-dimensional (2D) and three-dimensional (3D) magnetic resonance imaging (MRI) evaluation. Patients and Methods 121 patients diagnosed with temporomandibular disorder (TMD) were included. TMJ effusion was assessed qualitatively using MRI and quantified with 3D Slicer software, then graded accordingly. In addition, a visual analogue scale (VAS) was employed for pain reporting and an 8-item Jaw Functional Limitations Scale (JFLS-8) was utilized to evaluate jaw function limitation. Statistical analyses were performed appropriately for group comparisons and association determination. A probability of p<0.05 was considered statistically significant. Results 2D qualitative and 3D quantitative strategies were in high agreement for TMJ effusion grades (κ = 0.766). No significant associations were found between joint effusion and TMJ pain, nor with disc displacement and JLFS-8 scores. Moreover, the binary logistic regression analysis showed significant association between sex and the presence of TMJ effusion, exhibiting an Odds Ratio of 5.168 for females (p = 0.008). Conclusion 2D qualitative evaluation was as effective as 3D quantitative assessment for TMJ effusion diagnosis. No significant associations were found between TMJ effusion and TMJ pain, disc displacement or jaw function limitation. However, it was suggested that female patients suffering from TMD may be at a risk for TMJ effusion. Further prospective research is needed for validation.
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Affiliation(s)
- Sophie Lau Rui Han
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Jie Xiang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Xiang-Xiang Zeng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Pei-Di Fan
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Qiao-Yu Cheng
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Xue-Man Zhou
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Xin Xiong
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Jun Wang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
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Andreassen TE, Hume DR, Hamilton LD, Higinbotham SE, Shelburne KB. Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks. Med Eng Phys 2024; 126:104136. [PMID: 38621835 PMCID: PMC11064159 DOI: 10.1016/j.medengphy.2024.104136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 02/21/2024] [Accepted: 02/25/2024] [Indexed: 04/17/2024]
Abstract
Computer representations of three-dimensional (3D) geometries are crucial for simulating systems and processes in engineering and science. In medicine, and more specifically, biomechanics and orthopaedics, obtaining and using 3D geometries is critical to many workflows. However, while many tools exist to obtain 3D geometries of organic structures, little has been done to make them usable for their intended medical purposes. Furthermore, many of the proposed tools are proprietary, limiting their use. This work introduces two novel algorithms based on Generalized Regression Neural Networks (GRNN) and 4 processes to perform mesh morphing and overclosure adjustment. These algorithms were implemented, and test cases were used to validate them against existing algorithms to demonstrate improved performance. The resulting algorithms demonstrate improvements to existing techniques based on Radial Basis Function (RBF) networks by converting to GRNN-based implementations. Implementations in MATLAB of these algorithms and the source code are publicly available at the following locations: https://github.com/thor-andreassen/femors; https://simtk.org/projects/femors-rbf; https://www.mathworks.com/matlabcentral/fileexchange/120353-finite-element-morphing-overclosure-reduction-and-slicing.
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Affiliation(s)
- Thor E Andreassen
- Center for Orthopaedic Biomechanics, Mechanical and Materials Engineering, University of Denver, Denver, CO, USA.
| | - Donald R Hume
- Center for Orthopaedic Biomechanics, Mechanical and Materials Engineering, University of Denver, Denver, CO, USA
| | - Landon D Hamilton
- Center for Orthopaedic Biomechanics, Mechanical and Materials Engineering, University of Denver, Denver, CO, USA
| | - Sean E Higinbotham
- Center for Orthopaedic Biomechanics, Mechanical and Materials Engineering, University of Denver, Denver, CO, USA
| | - Kevin B Shelburne
- Center for Orthopaedic Biomechanics, Mechanical and Materials Engineering, University of Denver, Denver, CO, USA
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Pérez-Cano FD, Parra-Cabrera G, Vilchis-Torres I, Reyes-Lagos JJ, Jiménez-Delgado JJ. Exploring Fracture Patterns: Assessing Representation Methods for Bone Fracture Simulation. J Pers Med 2024; 14:376. [PMID: 38673003 PMCID: PMC11051195 DOI: 10.3390/jpm14040376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
Fracture pattern acquisition and representation in human bones play a crucial role in medical simulation, diagnostics, and treatment planning. This article presents a comprehensive review of methodologies employed in acquiring and representing bone fracture patterns. Several techniques, including segmentation algorithms, curvature analysis, and deep learning-based approaches, are reviewed to determine their effectiveness in accurately identifying fracture zones. Additionally, diverse methods for representing fracture patterns are evaluated. The challenges inherent in detecting accurate fracture zones from medical images, the complexities arising from multifragmentary fractures, and the need to automate fracture reduction processes are elucidated. A detailed analysis of the suitability of each representation method for specific medical applications, such as simulation systems, surgical interventions, and educational purposes, is provided. The study explores insights from a broad spectrum of research articles, encompassing diverse methodologies and perspectives. This review elucidates potential directions for future research and contributes to advancements in comprehending the acquisition and representation of fracture patterns in human bone.
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Affiliation(s)
| | - Gema Parra-Cabrera
- Department of Computer Science, University of Jaén, 23071 Jaén, Spain; (G.P.-C.); (J.J.J.-D.)
| | - Ivett Vilchis-Torres
- Centro de Investigación Multidisciplinaria en Educación, Universidad Autónoma del Estado de México, Toluca 50110, Mexico;
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Marongiu G, Leinardi L, Antuofermo SM, Pili A, Verona M, Kendoff D, Zampogna B, Capone A. Proximal femoral defect classifications in revision total hip arthroplasty from X-rays imaging to advanced 3D imaging: a narrative review. ANNALS OF JOINT 2024; 9:18. [PMID: 38690078 PMCID: PMC11058530 DOI: 10.21037/aoj-23-47] [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: 09/04/2023] [Accepted: 01/12/2024] [Indexed: 05/02/2024]
Abstract
Background and Objective Femoral bone defect in hip arthroplasty revision surgery represents a complex problem, and the treatment is a challenge for orthopedic surgeons called to assess the residual bone stock in an altered anatomy and obtain stability for the new implant. Classification systems available are mostly based on X-rays two-dimensional images and lack of accuracy and reproducibility and comprehensive therapeutic algorithms. However, there is no record of any classification based on computed tomography (CT)-scan images or three-dimensional (3D) modeling modern techniques. We aimed to review the current literature around femoral defect classifications (FDCs) analyzing their different rationale basis, reliability and accuracy, and their benefit in clinical practice. Moreover, we highlighted the role of CT scan-based 3D modeling techniques in the setting of femoral bone defects and revision hip arthroplasty. Methods A narrative review was conducted. The articles were selected from the PubMed and Scopus medical database updated to March 2023. All Level-I to IV studies in the English language were considered for inclusion. The research was performed using relevant search term items: "femoral defects", "classification", "radiographic", "revision hip arthroplasty", "CT scan" and "3D" and we included only articles that evaluated the accuracy or reliability (or both) of the different femoral bone defects classification system. Key Content and Findings Our search yielded 408 results, of which 17 were deemed highly relevant. We found seven X-ray-based classification systems which have been attempted to quantify the degree of bone loss with low to good reproducibility. The most used classification system for femoral bone defects were the AAOS and Paprosky classification, which also offers a clinical therapeutic algorithm. In 2021, the FDC interestingly showed a new simple classification system with sub-optimal reproducibility and a practical therapeutic algorithm. Despite the numerous classification system of femoral defects, none of them comprehends the use of CT scan and 3D imaging technologies. Conclusions Traditional X-rays-based classification system are still widely used event if their intra-observer and inter-observer reliability is sub-optimal. 3D modeling techniques represent an important diagnostic tool that could improve the understanding of bone defects and residual bone supportive structures, allowing to elaborate new, more precise, classification systems.
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Affiliation(s)
- Giuseppe Marongiu
- Orthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy
| | - Lorenzo Leinardi
- Orthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy
| | - Stefano Mauro Antuofermo
- Orthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy
| | - Alessio Pili
- Orthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy
| | - Marco Verona
- Orthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy
| | | | - Biagio Zampogna
- Operative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Antonio Capone
- Orthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy
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Orr CM, Atkinson R, Ernewein J, Tocheri MW. Carpal kinematics and morphological correlates of wrist ulnar deviation mobility in nonhuman anthropoid primates. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024; 183:e24728. [PMID: 36924247 DOI: 10.1002/ajpa.24728] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 02/09/2023] [Accepted: 03/05/2023] [Indexed: 03/18/2023]
Abstract
OBJECTIVES Primates employ wrist ulnar deviation during a variety of locomotor and manipulative behaviors. Extant hominoids share a derived condition in which the ulnar styloid process has limited articulation or is completely separated from the proximal carpals, which is often hypothesized to increase ulnar deviation range of motion. Acute angulation of the hamate's triquetral facet is also hypothesized to facilitate ulnar deviation mobility and mechanics. In this study, we test these longstanding ideas. METHODS Three-dimensional (3D) carpal kinematics were examined using a cadaveric sample of Pan troglodytes, Pongo sp., and five monkey species. Ulnar styloid projection and orientation of the hamate's triquetral facet were quantified using 3D models. RESULTS Although carpal rotation patterns in Pan and Pongo were uniquely similar in some respects, P. troglodytes exhibited overall kinematic similarity with large terrestrial cercopithecoids (Papio and Mandrillus). Pongo, Macaca, and Ateles had high wrist ulnar deviation ranges of motion, but Pongo did this via a unique mechanism. In Pongo, the triquetrum functions as a distal carpal rather than part of the proximal row. Ulnar styloid projection and wrist ulnar deviation range of motion were not correlated but ulnar deviation range of motion and the triquetrohamate facet orientation were correlated. CONCLUSIONS Increased ulnar deviation mobility is not the function of ulnar styloid withdrawal in hominoids. Instead, this feature probably reduces stress on the ulnar side wrist or is a byproduct of adaptations that increase supination. Orientation of the hamate's triquetral facet offers some potential to reconstruct ulnar deviation mobility in extinct primates.
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Affiliation(s)
- Caley M Orr
- Department of Cell and Developmental Biology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Anthropology, University of Colorado Denver, Denver, Colorado, USA
| | - Richard Atkinson
- Chicago College of Osteopathic Medicine, Midwestern University, Downers Grove, Illinois, USA
| | - Jamie Ernewein
- Modern Human Anatomy Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- University of Colorado School of Medicine, Colorado State University, Fort Collins, Colorado, USA
- College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Matthew W Tocheri
- Department of Anthropology, Lakehead University, Thunder Bay, Ontario, Canada
- Human Origins Program, Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, University of Wollongong, Wollongong, Australia
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Filho CWLS, Pontes MDDS, Ramos CH, Cunha LAMD. Methodology for Preoperative Planning of Bone Deformities Using Three-dimensional Modeling Software. Rev Bras Ortop 2024; 59:e130-e135. [PMID: 38524711 PMCID: PMC10957277 DOI: 10.1055/s-0044-1779700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/25/2023] [Indexed: 03/26/2024] Open
Abstract
Rapid prototyping technology, known as three-dimensional (3D) printing, and its use in the medical field are advancing. Studies on severe bone deformity treatment with 3D printing showed benefits in postoperative outcomes thanks to this technology. Even so, preoperative planning guidance for surgeons is lacking. This technical note describes a practical step-by-step guide to help surgeons use this technology to optimize the therapeutic plan with free license software and an intuitive interface. This study aims to organize the 3D modeling process using a preoperative computed tomography (CT) scan. This technology allows a deeper understanding of the case and its particularities, such as the direction, planes, and dimensions of the deformity. Planning considering these topics may reduce the surgical time and result in better functional outcomes by understanding the deformity and how to correct it. Associating planning via software with 3D printing can further enhance this therapeutic method.
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Affiliation(s)
| | | | - Carlos Henrique Ramos
- Serviço de Ortopedia e Traumatologia, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, PR, Brasil
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Marsilio L, Moglia A, Rossi M, Manzotti A, Mainardi L, Cerveri P. Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning. Bioengineering (Basel) 2023; 10:1433. [PMID: 38136024 PMCID: PMC10740423 DOI: 10.3390/bioengineering10121433] [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: 11/20/2023] [Revised: 12/12/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
Bone segmentation and 3D reconstruction are crucial for total knee arthroplasty (TKA) surgical planning with Personalized Surgical Instruments (PSIs). Traditional semi-automatic approaches are time-consuming and operator-dependent, although they provide reliable outcomes. Moreover, the recent expansion of artificial intelligence (AI) tools towards various medical domains is transforming modern healthcare. Accordingly, this study introduces an automated AI-based pipeline to replace the current operator-based tibia and femur 3D reconstruction procedure enhancing TKA preoperative planning. Leveraging an 822 CT image dataset, a novel patch-based method and an improved segmentation label generation algorithm were coupled to a Combined Edge Loss UNet (CEL-UNet), a novel CNN architecture featuring an additional decoding branch to boost the bone boundary segmentation. Root Mean Squared Errors and Hausdorff distances compared the predicted surfaces to the reference bones showing median and interquartile values of 0.26 (0.19-0.36) mm and 0.24 (0.18-0.32) mm, and of 1.06 (0.73-2.15) mm and 1.43 (0.82-2.86) mm for the tibia and femur, respectively, outperforming previous results of our group, state-of-the-art, and UNet models. A feasibility analysis for a PSI-based surgical plan revealed sub-millimetric distance errors and sub-angular alignment uncertainties in the PSI contact areas and the two cutting planes. Finally, operational environment testing underscored the pipeline's efficiency. More than half of the processed cases complied with the PSI prototyping requirements, reducing the overall time from 35 min to 13.1 s, while the remaining ones underwent a manual refinement step to achieve such PSI requirements, performing the procedure four to eleven times faster than the manufacturer standards. To conclude, this research advocates the need for real-world applicability and optimization of AI solutions in orthopedic surgical practice.
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Affiliation(s)
- Luca Marsilio
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy; (A.M.); (M.R.); (L.M.)
| | - Andrea Moglia
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy; (A.M.); (M.R.); (L.M.)
| | - Matteo Rossi
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy; (A.M.); (M.R.); (L.M.)
| | | | - Luca Mainardi
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy; (A.M.); (M.R.); (L.M.)
| | - Pietro Cerveri
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy; (A.M.); (M.R.); (L.M.)
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Borowska M, Jasiński T, Gierasimiuk S, Pauk J, Turek B, Górski K, Domino M. Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets. SENSORS (BASEL, SWITZERLAND) 2023; 23:8940. [PMID: 37960639 PMCID: PMC10650163 DOI: 10.3390/s23218940] [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: 09/08/2023] [Revised: 10/22/2023] [Accepted: 10/31/2023] [Indexed: 11/15/2023]
Abstract
Dental diagnostic imaging has progressed towards the use of advanced technologies such as 3D image processing. Since multidetector computed tomography (CT) is widely available in equine clinics, CT-based anatomical 3D models, segmentations, and measurements have become clinically applicable. This study aimed to use a 3D segmentation of CT images and volumetric measurements to investigate differences in the surface area and volume of equine incisors. The 3D Slicer was used to segment single incisors of 50 horses' heads and to extract volumetric features. Axial vertical symmetry, but not horizontal, of the incisors was evidenced. The surface area and volume differed significantly between temporary and permanent incisors, allowing for easy eruption-related clustering of the CT-based 3D images with an accuracy of >0.75. The volumetric features differed partially between center, intermediate, and corner incisors, allowing for moderate location-related clustering with an accuracy of >0.69. The volumetric features of mandibular incisors' equine odontoclastic tooth resorption and hypercementosis (EOTRH) degrees were more than those for maxillary incisors; thus, the accuracy of EOTRH degree-related clustering was >0.72 for the mandibula and >0.33 for the maxilla. The CT-based 3D images of equine incisors can be successfully segmented using the routinely achieved multidetector CT data sets and the proposed data-processing approaches.
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Affiliation(s)
- Marta Borowska
- Institute of Biomedical Engineering, Faculty of Mechanical Engineering, Białystok University of Technology, 15-351 Bialystok, Poland; (M.B.); (S.G.); (J.P.)
| | - Tomasz Jasiński
- Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland; (T.J.); (B.T.); (K.G.)
| | - Sylwia Gierasimiuk
- Institute of Biomedical Engineering, Faculty of Mechanical Engineering, Białystok University of Technology, 15-351 Bialystok, Poland; (M.B.); (S.G.); (J.P.)
| | - Jolanta Pauk
- Institute of Biomedical Engineering, Faculty of Mechanical Engineering, Białystok University of Technology, 15-351 Bialystok, Poland; (M.B.); (S.G.); (J.P.)
| | - Bernard Turek
- Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland; (T.J.); (B.T.); (K.G.)
| | - Kamil Górski
- Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland; (T.J.); (B.T.); (K.G.)
| | - Małgorzata Domino
- Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland; (T.J.); (B.T.); (K.G.)
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Lyuksemburg V, Abou-Hanna J, Marshall JS, Bramlet MT, Waltz AL, Pieta Keller SM, Dwyer A, Orcutt ST. Virtual Reality for Preoperative Planning in Complex Surgical Oncology: A Single-Center Experience. J Surg Res 2023; 291:546-556. [PMID: 37540972 DOI: 10.1016/j.jss.2023.07.001] [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: 02/07/2023] [Revised: 06/28/2023] [Accepted: 07/02/2023] [Indexed: 08/06/2023]
Abstract
INTRODUCTION Virtual reality models (VRM) are three-dimensional (3D) simulations of two-dimensional (2D) images, creating a more accurate mental representation of patient-specific anatomy. METHODS Patients were retrospectively identified who underwent complex oncologic resections whose operations differed from preoperative plans between April 2018 and April 2019. Virtual reality modeling was performed based on preoperative 2D images to assess feasibility of use of this technology to create models. Preoperative plans made based upon 2D imaging versus VRM were compared to the final operations performed. Once the use of VRM to create preoperative plans was deemed feasible, individuals undergoing complex oncologic resections whose operative plans were difficult to define preoperatively were enrolled prospectively from July 2019 to December 2021. Preoperative plans made based upon 2D imaging and VRM by both the operating surgeon and a consulting surgeon were compared to the operation performed. Confidence in each operative plan was also measured. RESULTS Twenty patients were identified, seven retrospective and 13 prospective, with tumors of the liver, pancreas, retroperitoneum, stomach, and soft tissue. Retrospectively, VRM were unable to be created in one patient due to a poor quality 2D image; the remainder (86%) were successfully able to be created and examined. Virtual reality modeling more clearly defined the extent of resection in 50% of successful cases. Prospectively, all VRM were successfully performed. The concordance of the operative plan with VRM was higher than with 2D imaging (92% versus 54% for the operating surgeon and 69% versus 23% for the consulting surgeon). Confidence in the operative plan after VRM compared to 2D imaging also increased for both surgeons (by 15% and 8% for the operating and consulting surgeons, respectively). CONCLUSIONS Virtual reality modeling is feasible and may improve preoperative planning compared to 2D imaging. Further investigation is warranted.
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Affiliation(s)
- Vadim Lyuksemburg
- Department of Surgery, University of Illinois College Medicine at Peoria, Peoria, Illinois
| | - Jameil Abou-Hanna
- Department of Surgery, University of Illinois College Medicine at Peoria, Peoria, Illinois
| | - J Stephen Marshall
- Department of Surgery, University of Illinois College Medicine at Peoria, Peoria, Illinois
| | - Matthew T Bramlet
- Department of Pediatrics, University of Illinois College of Medicine at Peoria, Peoria, Illinois
| | - Alexa L Waltz
- Jump Trading Simulation & Education Center, OSF HealthCare, Peoria, Illinois
| | | | - Anthony Dwyer
- Department of Surgery, University of Illinois College Medicine at Peoria, Peoria, Illinois
| | - Sonia T Orcutt
- Department of Surgery, University of Illinois College Medicine at Peoria, Peoria, Illinois.
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Jinga MR, Lee RBY, Chan KL, Marway PS, Nandapalan K, Rhode K, Kui C, Lee M. Assessing the impact of 3D image segmentation workshops on anatomical education and image interpretation: A prospective pilot study. ANATOMICAL SCIENCES EDUCATION 2023; 16:1024-1032. [PMID: 37381649 DOI: 10.1002/ase.2314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/07/2023] [Accepted: 06/14/2023] [Indexed: 06/30/2023]
Abstract
Three-dimensional (3D) segmentation, a process involving digitally marking anatomical structures on cross-sectional images such as computed tomography (CT), and 3D printing (3DP) are being increasingly utilized in medical education. Exposure to this technology within medical schools and hospitals remains limited in the United Kingdom. M3dicube UK, a national medical student, and junior doctor-led 3DP interest group piloted a 3D image segmentation workshop to gauge the impact of incorporating 3D segmentation technology on anatomical education. The workshop, piloted with medical students and doctors within the United Kingdom between September 2020 and 2021, introduced participants to 3D segmentation and offered practical experience segmenting anatomical models. Thirty-three participants were recruited, with 33 pre-workshop and 24 post-workshop surveys completed. Two-tailed t-tests were used to compare mean scores. From pre- to post-workshop, increases were noted in participants' confidence in interpreting CT scans (2.36 to 3.13, p = 0.010) and interacting with 3D printing technology (2.15 to 3.33, p = 0.00053), perceived utility of creating 3D models to aid image interpretation (4.18 to 4.45, p = 0.0027), improved anatomical understanding (4.2 to 4.7, p = 0.0018), and utility in medical education (4.45 to 4.79, p = 0.077). This pilot study provides early evidence of the utility of exposing medical students and healthcare professionals in the United Kingdom to 3D segmentation as part of their anatomical education, with additional benefit in imaging interpretation ability.
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Affiliation(s)
| | - Rachel B Y Lee
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Kai Lok Chan
- The Medical School, Newcastle University, Newcastle upon Tyne, UK
| | - Prabhvir S Marway
- Southend Hospital, Mid and South Essex NHS Foundation Trust, Southend-on-Sea, UK
| | | | - Kawal Rhode
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Christopher Kui
- Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle-Upon-Tyne, UK
| | - Matthew Lee
- Transformation Directorate, NHS England, London, UK
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Garnica-Bohórquez I, Güiza-Argüello VR, López-Gualdrón CI. Effect of Sterilization on the Dimensional and Mechanical Behavior of Polylactic Acid Pieces Produced by Fused Deposition Modeling. Polymers (Basel) 2023; 15:3317. [PMID: 37571211 PMCID: PMC10422276 DOI: 10.3390/polym15153317] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
To successfully implement additive manufacturing (AM) techniques for custom medical device (MD) production with low-cost resources, it is imperative to understand the effect of common and affordable sterilization processes, such as formaldehyde or steam sterilization, on pieces manufactured by AM. In this way, the performance of low-risk MDs, such as biomodels and surgical guides, could be assessed for complying with safety, precision, and MD delivery requirements. In this context, the aim of the present work was to evaluate the effect of formaldehyde and steam sterilization on the dimensional and mechanical stability of standard polylactic acid (PLA) test pieces produced by fused deposition modeling (FDM). To achieve this, PLA samples were sterilized according to the sterilization protocol of a public hospital in the city of Bucaramanga, Colombia. Significant changes regarding mechanical and dimensional properties were found as a function of manufacturing parameters. This research attempts to contribute to the development of affordable approaches for the fabrication of functional and customized medical devices through AM technologies, an issue of particular interest for low- and middle-income countries.
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Affiliation(s)
- Israel Garnica-Bohórquez
- Industrial Design Department, Universidad Industrial de Santander, Bucaramanga 680002, Colombia;
| | - Viviana R. Güiza-Argüello
- Metallurgical Engineering and Materials Science Department, Universidad Industrial de Santander, Bucaramanga 680002, Colombia;
| | - Clara I. López-Gualdrón
- Industrial Design Department, Universidad Industrial de Santander, Bucaramanga 680002, Colombia;
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Dragosloveanu S, Petre MA, Gherghe ME, Nedelea DG, Scheau C, Cergan R. Overall Accuracy of Radiological Digital Planning for Total Hip Arthroplasty in a Specialized Orthopaedics Hospital. J Clin Med 2023; 12:4503. [PMID: 37445538 DOI: 10.3390/jcm12134503] [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: 05/29/2023] [Revised: 06/13/2023] [Accepted: 07/02/2023] [Indexed: 07/15/2023] Open
Abstract
Preoperative radiological planning is a key factor in the prediction of implant size and positioning that influences surgical time, the risk of complications, and functional outcomes. We have tested the accuracy of the digital templating performed in our hospital for a sample of 215 patients that underwent total hip arthroplasty. We assessed the accuracy of correctly predicting implant size for the femoral and acetabular components, as well as the stem neck length. We found that our method of templating proved accurate (within one size) in 95.8% of cases for the stem and 94.9% for the cup when using the anteroposterior view only, while the lateral view was accurate in 95.8% of cases for the stem and 97.2% for the cup. Exact prediction of the stem size was obtained in 77.7% of cases using the anteroposterior view and 67.0% of cases on the lateral view, and 73.0% and 74.4% of cases for the cup on the AP and LL views, respectively. Stem neck size was predicted exactly in 75.35% of cases and within one size in 93.49% of cases. We concluded that our method of digital templating using dedicated software is highly effective in accurately predicting implant size.
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Affiliation(s)
- Serban Dragosloveanu
- Department of Orthopaedics and Traumatology, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Orthopaedics, "Foisor" Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 021382 Bucharest, Romania
| | - Mihnea-Alexandru Petre
- Department of Orthopaedics, "Foisor" Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 021382 Bucharest, Romania
| | - Mihai Emanuel Gherghe
- Department of Orthopaedics, "Foisor" Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 021382 Bucharest, Romania
| | - Dana-Georgiana Nedelea
- Department of Orthopaedics, "Foisor" Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 021382 Bucharest, Romania
| | - Cristian Scheau
- Department of Physiology, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Radiology and Medical Imaging, "Foisor" Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 021382 Bucharest, Romania
| | - Romica Cergan
- Department of Anatomy, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Radiology and Medical Imaging, "Foisor" Clinical Hospital of Orthopaedics, Traumatology and Osteoarticular TB, 021382 Bucharest, Romania
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Jiang Z, Xie W, Zhou X, Pan W, Jiang S, Zhang X, Zhang M, Zhang Z, Lu Y, Wang D. A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics. Insights Imaging 2023; 14:104. [PMID: 37286810 DOI: 10.1186/s13244-023-01438-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 04/15/2023] [Indexed: 06/09/2023] Open
Abstract
OBJECTIVES This study aims to develop and validate a virtual biopsy model to predict microsatellite instability (MSI) status in preoperative gastric cancer (GC) patients based on clinical information and the radiomics of deep learning algorithms. METHODS A total of 223 GC patients with MSI status detected by postoperative immunohistochemical staining (IHC) were retrospectively recruited and randomly assigned to the training (n = 167) and testing (n = 56) sets in a 3:1 ratio. In the training set, 982 high-throughput radiomic features were extracted from preoperative abdominal dynamic contrast-enhanced CT (CECT) and screened. According to the deep learning multilayer perceptron (MLP), 15 optimal features were optimized to establish the radiomic feature score (Rad-score), and LASSO regression was used to screen out clinically independent predictors. Based on logistic regression, the Rad-score and clinically independent predictors were integrated to build the clinical radiomics model and visualized as a nomogram and independently verified in the testing set. The performance and clinical applicability of hybrid model in identifying MSI status were evaluated by the area under the receiver operating characteristic (AUC) curve, calibration curve, and decision curve (DCA). RESULTS The AUCs of the clinical image model in training set and testing set were 0.883 [95% CI: 0.822-0.945] and 0.802 [95% CI: 0.666-0.937], respectively. This hybrid model showed good consistency in the calibration curve and clinical applicability in the DCA curve, respectively. CONCLUSIONS Using preoperative imaging and clinical information, we developed a deep-learning-based radiomics model for the non-invasive evaluation of MSI in GC patients. This model maybe can potentially support clinical treatment decision making for GC patients.
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Affiliation(s)
- Zinian Jiang
- Qingdao Medical College, Qingdao University, Qingdao, Shandong, China
| | - Wentao Xie
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No. 1677, Wutaishan Road, Qingdao, 266000, Shandong, China
| | - Xiaoming Zhou
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Wenjun Pan
- Qingdao Medical College, Qingdao University, Qingdao, Shandong, China
| | - Sheng Jiang
- Qingdao Medical College, Qingdao University, Qingdao, Shandong, China
| | - Xianxiang Zhang
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No. 1677, Wutaishan Road, Qingdao, 266000, Shandong, China
| | - Maoshen Zhang
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No. 1677, Wutaishan Road, Qingdao, 266000, Shandong, China
| | - Zhenqi Zhang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yun Lu
- Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No. 1677, Wutaishan Road, Qingdao, 266000, Shandong, China.
- Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, Qingdao, Shandong, China.
| | - Dongsheng Wang
- Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No. 1677, Wutaishan Road, Qingdao, 266000, Shandong, China.
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van Veldhuizen WA, van der Wel H, Kuipers HY, Kraeima J, Ten Duis K, Wolterink JM, de Vries JPPM, Schuurmann RCL, IJpma FFA. Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis. J Clin Med 2023; 12:jcm12113767. [PMID: 37297962 DOI: 10.3390/jcm12113767] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/28/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Knowledge about anatomical shape variations in the pelvis is mandatory for selection, fitting, positioning, and fixation in pelvic surgery. The current knowledge on pelvic shape variation mostly relies on point-to-point measurements on 2D X-ray images and computed tomography (CT) slices. Three-dimensional region-specific assessments of pelvic morphology are scarce. Our aim was to develop a statistical shape model of the hemipelvis to assess anatomical shape variations in the hemipelvis. CT scans of 200 patients (100 male and 100 female) were used to obtain segmentations. An iterative closest point algorithm was performed to register these 3D segmentations, so a principal component analysis (PCA) could be performed, and a statistical shape model (SSM) of the hemipelvis was developed. The first 15 principal components (PCs) described 90% of the total shape variation, and the reconstruction ability of this SSM resulted in a root mean square error of 1.58 (95% CI: 1.53-1.63) mm. In summary, an SSM of the hemipelvis was developed, which describes the shape variations in a Caucasian population and is able to reconstruct an aberrant hemipelvis. Principal component analyses demonstrated that, in a general population, anatomical shape variations were mostly related to differences in the size of the pelvis (e.g., PC1 describes 68% of the total shape variation, which is attributed to size). Differences between the male and female pelvis were most pronounced in the iliac wing and pubic rami regions. These regions are often subject to injuries. Future clinical applications of our newly developed SSM may be relevant for SSM-based semi-automatic virtual reconstruction of a fractured hemipelvis as part of preoperative planning. Lastly, for companies, using our SSM might be interesting in order to assess which sizes of pelvic implants should be produced to provide proper-fitting implants for most of the population.
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Affiliation(s)
| | - Hylke van der Wel
- Department of Oral and Maxillofacial Surgery/3D Lab, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Hennie Y Kuipers
- Department of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Joep Kraeima
- Department of Oral and Maxillofacial Surgery/3D Lab, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Kaj Ten Duis
- Department of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Jelmer M Wolterink
- Department of Applied Mathematics, Technical Medical Centre, 7500 AE Enschede, The Netherlands
| | - Jean-Paul P M de Vries
- Department of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Richte C L Schuurmann
- Department of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
- Multimodality Medical Imaging Group, Technical Medical Centre, University of Twente, 7500 AE Enschede, The Netherlands
| | - Frank F A IJpma
- Department of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
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Physiological Offset Parameters of the Adult Shoulder Joint-A MRI Study of 800 Patients. Diagnostics (Basel) 2022; 12:diagnostics12102507. [PMID: 36292196 PMCID: PMC9600260 DOI: 10.3390/diagnostics12102507] [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: 08/16/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Humeral offset (HO) and glenoidal offset (GO) are important morphological parameters in diagnostics and therapy for shoulder pathologies. However, physiological reference values have not yet been sufficiently determined. The aim of the present study was to establish physiological reference values for shoulder offset parameters (SOPs). Methods: MRI images of the shoulder joints of 800 patients (mean age: 50.13 years [±16.01]) were analysed retrospectively. HO, GO, lateral glenoidal humeral offset (LGHO), humeral shaft axis offset (HAO) and cortical offset (CO) were measured. SOPs were examined for associations with age, gender, side and osteoarthritis. Results: The mean HO was 26.19 (±2.70), the mean GO was 61.79 (±5.67), the mean LGHO was 54.49 (±4.69), the mean HAO was 28.17 (±2.82) and the mean CO was 16.70 (±3.08). For all SOPs, significantly higher values were measured in male shoulders. There was a significantly (p < 0.001) higher mean value for HO, GO and LGHO in right shoulders. There was a significant correlation between age and LGHO, and HAO and CO, but not between age and HO or GO. Shoulders with osteoarthritis and non-osteoarthritis did not differ in the mean value of HO, GO, LGHO and HAO, except for CO (p = 0.049). Conclusion: Reference values for SOPs in the adult shoulder joint were determined for the first time. Significant gender-specific differences were found for all measured SOPs. In addition, it was seen that for some SOPs, the joint side and the patient’s age has to be taken into account in shoulder diagnostics and surgery.
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Thurzo A, Strunga M, Havlínová R, Reháková K, Urban R, Surovková J, Kurilová V. Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? SENSORS (BASEL, SWITZERLAND) 2022; 22:s22207752. [PMID: 36298103 PMCID: PMC9607180 DOI: 10.3390/s22207752] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/05/2022] [Accepted: 10/11/2022] [Indexed: 05/28/2023]
Abstract
The current paradigm shift in orthodontic treatment planning is based on facially driven diagnostics. This requires an affordable, convenient, and non-invasive solution for face scanning. Therefore, utilization of smartphones' TrueDepth sensors is very tempting. TrueDepth refers to front-facing cameras with a dot projector in Apple devices that provide real-time depth data in addition to visual information. There are several applications that tout themselves as accurate solutions for 3D scanning of the face in dentistry. Their clinical accuracy has been uncertain. This study focuses on evaluating the accuracy of the Bellus3D Dental Pro app, which uses Apple's TrueDepth sensor. The app reconstructs a virtual, high-resolution version of the face, which is available for download as a 3D object. In this paper, sixty TrueDepth scans of the face were compared to sixty corresponding facial surfaces segmented from CBCT. Difference maps were created for each pair and evaluated in specific facial regions. The results confirmed statistically significant differences in some facial regions with amplitudes greater than 3 mm, suggesting that current technology has limited applicability for clinical use. The clinical utilization of facial scanning for orthodontic evaluation, which does not require accuracy in the lip region below 3 mm, can be considered.
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Affiliation(s)
- Andrej Thurzo
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, Slovakia
| | - Martin Strunga
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, Slovakia
| | - Romana Havlínová
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, Slovakia
| | - Katarína Reháková
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, Slovakia
| | - Renata Urban
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, Slovakia
| | - Jana Surovková
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, Slovakia
| | - Veronika Kurilová
- Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovičova 3, 81219 Bratislava, Slovakia
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