• Title/Summary/Keyword: Surgical model

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SURGICAL INDEX FOR BONE SHAVING USING RAPID PROTOTYPING MODEL;TECHNICAL PROPOSAL FOR TREATMENT OF FIBROUS DYSPLASIA (Rapid Prototyping 모델을 이용한 골삭제을 위한 외과적 지표;섬유성 골이형성증 치료를 위한 기술적 제안)

  • Kim, Woon-Kyu
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.23 no.4
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    • pp.366-375
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    • 2001
  • Bone shaving for surgical correction is general method in facial asymmetrical patient with fibrous dysplasia. Therefore, decision of bone shaving amount on the preoperative planning is very difficult for improvement of ideal occlusal relationship and harmonious face. Preoperative planning of facial asymmetry with fibrous dysplasia is generally confirmed by the simulation surgery based on evaluation of clinical examination, radiographic analysis and analysis of facial study model. However, the accurate postoperative results can not be predicted by this method. By using the computed tomography based RP(rapid prototyping) model, simulation of facial skeleton can be duplicated and 3-dimensional simmulation surgery can be perfomed. After fabrication of postoperative study model by preoperactive bone shaving, preoperative and postoperactive surgical index was made by omnivaccum and clear acrylic resin. Amount of bone shaving is confirmed by superimposition of surgical index at the operation. We performed the surgical correction of facial asymmetry patients with fibrous dysplasia using surgical index and prototyping model and obtained the favorable results.

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FABRICATION OF SURGICAL SPLINT BY USING OF SURGICAL JAW RELATOR (Surgical Jaw Relator를 이용한 Surgical splint의 제작)

  • Yang, Sang-Duck
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.27 no.2
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    • pp.188-195
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    • 2005
  • After making the surgical treatment plan, the surgical movements are duplicated in the model surgery. During this procedure, reference points and lines are drawn on the base of the models over the dental arch, and sawcuts are made according to these marked osteotomy lines. This method requires more accuracy for better postsurgical results in that the surgical splint which enables the surgeon to position the jaws intraoperatively is made from the casts as repositioned by the model surgery, and finally it will define the postsurgical results. This technique, however, has been found to be inexact, especially when the jaws are moved in several dimensions simultaneously. To overcome this, different methods have been developed for an accurate repositioning of the jaws as planned. A new appliance, Surgical Jaw Relator, was devised by the author for the simple 3-dimensional relocation of the upper and lower models, resulting in the easy construction of the splints such as centric relation splint, intermediate and final splint. This article describes an introduction and a clinical application of this appliance.

IPMN-LEARN: A linear support vector machine learning model for predicting low-grade intraductal papillary mucinous neoplasms

  • Yasmin Genevieve Hernandez-Barco;Dania Daye;Carlos F. Fernandez-del Castillo;Regina F. Parker;Brenna W. Casey;Andrew L. Warshaw;Cristina R. Ferrone;Keith D. Lillemoe;Motaz Qadan
    • Annals of Hepato-Biliary-Pancreatic Surgery
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    • v.27 no.2
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    • pp.195-200
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    • 2023
  • Backgrounds/Aims: We aimed to build a machine learning tool to help predict low-grade intraductal papillary mucinous neoplasms (IPMNs) in order to avoid unnecessary surgical resection. IPMNs are precursors to pancreatic cancer. Surgical resection remains the only recognized treatment for IPMNs yet carries some risks of morbidity and potential mortality. Existing clinical guidelines are imperfect in distinguishing low-risk cysts from high-risk cysts that warrant resection. Methods: We built a linear support vector machine (SVM) learning model using a prospectively maintained surgical database of patients with resected IPMNs. Input variables included 18 demographic, clinical, and imaging characteristics. The outcome variable was the presence of low-grade or high-grade IPMN based on post-operative pathology results. Data were divided into a training/validation set and a testing set at a ratio of 4:1. Receiver operating characteristics analysis was used to assess classification performance. Results: A total of 575 patients with resected IPMNs were identified. Of them, 53.4% had low-grade disease on final pathology. After classifier training and testing, a linear SVM-based model (IPMN-LEARN) was applied on the validation set. It achieved an accuracy of 77.4%, with a positive predictive value of 83%, a specificity of 72%, and a sensitivity of 83% in predicting low-grade disease in patients with IPMN. The model predicted low-grade lesions with an area under the curve of 0.82. Conclusions: A linear SVM learning model can identify low-grade IPMNs with good sensitivity and specificity. It may be used as a complement to existing guidelines to identify patients who could avoid unnecessary surgical resection.

Rapid Prototyping and Reverse Engineering Application for Orthopedic Surgery Planning

  • Ahn Dong-Gyu;Lee Jun-Young;Yang Dong-Yol
    • Journal of Mechanical Science and Technology
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    • v.20 no.1
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    • pp.19-28
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    • 2006
  • This paper describes rapid prototyping (RP) and reverse engineering (RE) application for orthopedic surgery planning to improve the efficiency and accuracy of the orthopedic surgery. Using the symmetrical characteristics of the human body, CAD data of undamaged bone of the injured area are generated from a mirror transformation of undamaged bone data for the uninjured area. The physical model before the injury is manufactured from Poly jet RP process. The surgical plan, including the selection of the proper implant, pre-forming of the implant and decision of fixation positions, etc., is determined by a physical simulation using the physical model. In order to examine the applicability and efficiency of the surgical planning technology, two case studies, such as a distal tibia comminuted fracture and an iliac wing fracture of pelvis, are carried out. From the results of the examination, it has been shown that the RP and RE can be applied to orthopedic surgical planning and can be an efficient surgical tool.

Genioplasty using a simple CAD/CAM (computer-aided design and computer-aided manufacturing) surgical guide

  • Lim, Se-Ho;Kim, Moon-Key;Kang, Sang-Hoon
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.37
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    • pp.44.1-44.6
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    • 2015
  • Background: The present study introduces the design and fabrication of a simple surgical guide with which to perform genioplasty. Methods: A three-dimensional reconstruction of the patient's cranio-maxilla region was built, with a dentofacial skeletal model, then derived from CT DICOM data. A surgical simulation was performed on the maxilla and mandible, using three-dimensional cephalometry. We then simulated a full genioplasty, in silico, using the three-dimensional (3D) model of the mandible, according to the final surgical treatment plan. The simulation allowed us to design a surgical guide for genioplasty, which was then computer-rendered and 3D-printed. The manufactured surgical device was ultimately used in an actual genioplasty to guide the osteotomy and to move the cut bone segment to the intended location. Results: We successfully performed the osteotomy, as planned during a genioplasty, using the computer-aided design and computer-aided manufacturing (CAD/CAM) surgical guide that we initially designed and tested using simulated surgery. Conclusions: The surgical guide that we developed proved to be a simple and practical tool with which to assist the surgeon in accurately cutting and removing bone segments, during a genioplasty surgery, as preoperatively planned during 3D surgical simulations.

3D-printing Bone Model for Surgical Planning of Corrective Osteotomy for Treatment of Medial Patellar Luxation in a Dog

  • Jeong, Bumsoo;Jung, Jaemin;Park, Jiyoung;Jeong, Seong Mok;Lee, Haebeom
    • Journal of Veterinary Clinics
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    • v.33 no.6
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    • pp.385-388
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    • 2016
  • A 2-year-old, castrated male Chihuahua dog was referred for revision surgery for reluxation of the patella following surgery for medial patellar luxation (MPL) of the left stifle joint. On general inspection, the patient showed bilateral hindlimb weight-bearing lameness. On physical examination, bilateral non-reducible MPL was detected through palpation. Radiographs revealed bone deformities of both hindlimbs. Computed tomography (CT) was applied for a three-dimensional (3D) printing bone model to establish an accurate surgical plan. The bone plate was pre-contoured over the 3D-printing bone model after execution of corrective osteotomy and sterilized prior to use in surgery. Corrective osteotomy was performed through a staged, bilateral procedure. The patient showed improvement of limb function following surgery without reluxation of the patella. The use of 3D-printing bone model for accurate surgical planning of corrective osteotomy appears to be effective in increasing the accuracy of surgery. That may lead to successful surgical outcomes.

Improving the Performance of Risk-adjusted Mortality Modeling for Colorectal Cancer Surgery by Combining Claims Data and Clinical Data

  • Jang, Won Mo;Park, Jae-Hyun;Park, Jong-Hyock;Oh, Jae Hwan;Kim, Yoon
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.2
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    • pp.74-81
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    • 2013
  • Objectives: The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery. Methods: We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration. Results: The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1. Conclusions: The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.

Analytical Osteotomy Model for Three-dimensional Surgical Planning of Opening Wedge High Tibial Osteotomy (개방형 근위경골절골술의 3차원 수술계획을 위한 절골해석모델)

  • Koo, Bon-Yeol;Park, Byoung-Keon;Choi, Dong-Kwon;Kim, Jay-Jung
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.6
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    • pp.385-398
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    • 2013
  • Opening wedge high tibial osteotomy (OWHTO) is widely used to treat unicompartmental osteoarthritis of the knee caused by degenerative deformations of the anatomical axes of the leg. However, since it is difficult to accurately plan the surgical degrees of adjustment such as coronal correction angle and tibial posterior slope angle to align the axes before the actual procedure, a number of studies have proposed analytical models to solve this problem. While previous analytical models for OWHTO were limited to specific cases, this study proposes an analytical osteotomy model (AOM) and a surgical planning system (SPS) that are suitable for a wide range of tibial morphologies and tibia conditions. The validity and generality of the model were verified in a total of 60 OWHTO cases. Results of the test showed that, as predicted, surgical degrees are affected quite significantly by tibia shape and slope of the resected surface. Comparison of the required surgical degrees and the degrees estimated from virtual surgery simulations using AOM showed a very small average difference of $0.118^{\circ}$. SPS, based on AOM, allows the operating surgeon to easily calculate surgical parameters needed to treat a patient.

Development of the implant surgical technique and assessment rating system

  • Park, Jung-Chul;Hwang, Ji-Wan;Lee, Jung-Seok;Jung, Ui-Won;Choi, Seong-Ho;Cho, Kyoo-Sung;Chai, Jung-Kiu;Kim, Chang-Sung
    • Journal of Periodontal and Implant Science
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    • v.42 no.1
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    • pp.25-29
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    • 2012
  • Purpose: There has been no attempt to establish an objective implant surgical evaluation protocol to assess residents' surgical competence and improve their surgical outcomes. The present study presents a newly developed assessment and rating system and simulation model that can assist the teaching staffs to evaluate the surgical events and surgical skills of residents objectively. Methods: Articles published in peer-reviewed English journals were selected using several scientific databases and subsequently reviewed regarding surgical competence and assessment tools. Particularly, medical journals reporting rating and evaluation protocols for various types of medical surgeries were thoroughly analyzed. Based on these studies, an implant surgical technique assessment and rating system (iSTAR) has been developed. Also, a specialized dental typodont was developed for the valid and reliable assessment of surgery. Results: The iSTAR consists of two parts including surgical information and task-specific checklists. Specialized simulation model was subsequently produced and can be used in combination with iSTAR. Conclusions: The assessment and rating system provided may serve as a reference guide for teaching staffs to evaluate the residents' implant surgical techniques.

On Establishing a New Fee Schedule for General Surgical Procedure Using Fuzzy MCDM

  • Hung, Chih-Young;Huang, Yuan-Huei;Chang, Pei-Yeh;Wang, Kuei-Ing;Chang, King-Jen;Liu, Yi-Hsin
    • Industrial Engineering and Management Systems
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    • v.4 no.2
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    • pp.218-227
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    • 2005
  • In this research a model for establishing a new, rational fee schedule for general surgical procedures in a national health insurance program is developed. A fuzzy multiple criteria decision-making (FMCDM) model is proposed. The relative values of eleven surgical procedures were obtained through an empirical study based on the FMCDM model. Consequently, a new fee schedule obtained from the FMCDM model. This new fee schedule is more convincing than previous schedule and more persuasive to the references for the policy setting.