Takano, M.;Kasahara, K.;Sugahara, K.;Watanabe, A.;Yoshida, S.;Shibahara, T.
Maxillofacial Plastic and Reconstructive Surgery
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제39권
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pp.10.1-10.5
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2017
Background: Because of changing surgical procedures in the fields of oral and maxillofacial surgery, new methods for surgical education are needed and could include recent advances in digital technology. Many doctors have attempted to use digital technology as educational tools for surgical training, and movies have played an important role in these attempts. We have been using a 3D full high-definition (full-HD) camcorder to record movies of intraoral surgeries. Method: The subjects were medical students and doctors receiving surgical training who did not have actual surgical experience (n = 67). Participants watched an 8-min, 2D movie of orthognathic surgery and subsequently watched the 3D version. After watching the 3D movie, participants were asked to complete a questionnaire. Result: A lot of participants (84%) felt a 3D movie excellent or good and answered that the advantages of a 3D movie were their appearance of solidity or realism. Almost all participants (99%) answered that 3D movies were quite useful or useful for medical practice. Conclusions: Three-dimensional full-HD movies have the potential to improve the quality of medical education and clinical practice in oral and maxillofacial surgery.
Laparoscopic surgery is a surgical procedure which uses long laparoscopic instruments through tiny holes in abdomen while watching images from a laparoscopic camera through umbilicus. Laparoscopic surgeries have many advantages rather than open surgeries, however it is hard to learn the surgical skills for laparoscopic surgery. Recently, some virtual simulation systems for laparoscopic surgery are developed to train novice surgeons or resident surgeons. In this study, we introduce the techniques that we developed for laparoscopic surgical training simulator for cholecystectomy (gallbladder removal), which is one of the most frequently performed by laparoscopic surgery. The techniques for cholecystectomy simulation include modeling of human organs (liver, gallbladder, bile ducts, etc.), real-time deformable body calculation, realistic 3D visualization of surgical scene, high-fidelity haptic rendering and haptic device technology, and so on. We propose each simulation technique for the laparoscopic cholecystectomy procedures such as identifying cystic duct and cystic artery to clamp and cut, dissecting connective tissues between the gallbladder and liver. In this paper, we describe the techniques and discuss about the results of the proposed cholecystectomy simulation for laparoscopic surgical training.
Objective : The aim of this study to investigate the benefits of patient-based 3-dimensional (3D) cerebral arteriovenous malformation (AVM) models for preoperative surgical planning and education. Methods : Fifteen patients were operated on for AVMs between 2015 and 2019 with patient-based 3D models. Ten patients' preoperative cranial angiogram screenings were evaluated preoperatively or perioperatively via patient-based 3D models. Two patients needed emergent surgical intervention; their models were solely designed based on their AVMs and used during the operation. However, the other patients who underwent elective surgery had the modeling starting from the skull base. These models were used both preoperatively and perioperatively. The benefits of patients arising from treatment with these models were evaluated via patient files and radiological data. Results : Fifteen patients (10 males and five females) between 16 and 66 years underwent surgery. The mean age of the patients was 40.0±14.72. The most frequent symptom patients observed were headaches. Four patients had intracranial bleeding; the symptom of admission was a loss of consciousness. Two patients (13.3%) belonged to Spetzler-Martin (SM) grade I, four (26.7%) belonged to SM grade II, eight (53.3%) belonged to SM grade III, and one (6.7%) belonged to SM grade IV. The mean operation duration was 3.44±0.47 hours. Three patients (20%) developed transient neurologic deficits postoperatively, whereas three other patients died (20%). Conclusion : Several technological innovations have emerged in recent years to reduce undesired outcomes and support the surgical team. For example, 3D models have been employed in various surgical procedures in the last decade. The routine usage of patient-based 3D models will not only support better surgical planning and practice, but it will also be useful in educating assistants and explaining the situation to the patient as well.
Background: The relation ofsurvivin gene expression to survival and surgical prognostic factors in the patients with endometrial carcinoma is unclear. Materials and Methods: In this study, 62 cases who were operated due to endometrial carcinoma were investigated between 2003 and 2011 in the the gynecological oncology clinic of Female Disease Training and Investigation Hospital of Etlik Zubeyde, Hanim, Turkey. Clinical and surgical prognostic factors were investigated by screening the records of these cases. With the standard streptavidin-biotin immune peroxidase method, cytoplasmic and nuclear expression of survivin was investigated in sections with specific antibodies (1:100, diagnostic Bio Systems, USA) primer. The aim was to elucidate any relation between survivin expression and defined prognostic factors and survival. Results: There was no statistically significant relationship between cytoplasmic and nuclear indexes identified for survivin and age, body mass index, the levels of preoperative hemoglobin, platelet and Ca 125, stage, grade, lymph node meastasis, the number of meta statical lymph nodes (total, paraaortic and pelvic), myometrial invasion, serosal invasion, adnexal involvement, the presence of acid in the first diagnosis, the involvement of omentum, the adjuvant treatment application of the cases, the presence of recurrence and rate of mortality (p>0.05). Statistical significance was noted for the presence of advanced stage lymph node metastasis (pelvic, paraaortic, pelvic and paraaortic), serosal involvement, positive cytology, lymph vascular space invasion, intra abdominal metastasis, and omentum involvement. When investigated the relation between cytoplasmic and nuclear survivin indexes and total survival, the result was not statistically significant (p>0.05). Conclusions: In our study, there was no statistically significant relationship between the rates of cytoplasmic and nuclear survivin expression with identified prognostic factors and total or non-disease survival.
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
한국간담췌외과학회지
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제27권2호
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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.
Background Carpal tunnel release is one of the most common surgical procedures performed by hand surgeons. The authors created a surgical simulation of open carpal tunnel release utilizing a mobile and rehearsal platform app. This study was performed in order to validate the simulator as an effective training platform for carpal tunnel release. Methods The simulator was evaluated using a number of metrics: construct validity (the ability to identify variability in skill levels), face validity (the perceived ability of the simulator to teach the intended material), content validity (that the simulator was an accurate representation of the intended operation), and acceptability validity (willingness of the desired user group to adopt this method of training). Novices and experts were recruited. Each group was tested, and all participants were assigned an objective score, which served as construct validation. A Likert-scale questionnaire was administered to gauge face, content, and acceptability validity. Results Twenty novices and 10 experts were recruited for this study. The objective performance scores from the expert group were significantly higher than those of the novice group, with surgeons scoring a median of 74% and medical students scoring a median of 45%. The questionnaire responses indicated face, content, and acceptability validation. Conclusions This mobile-based surgical simulation platform provides step-by-step instruction for a variety of surgical procedures. The findings of this study help to demonstrate its utility as a learning tool, as we confirmed construct, face, content, and acceptability validity for carpal tunnel release. This easy-to-use educational tool may help bring surgical education to a new- and highly mobile-level.
Armstrong, Grayson W.;Veronese, Giacomo;George, Paul F.;Montroni, Isacco;Ugolini, Giampaolo
Journal of Preventive Medicine and Public Health
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제50권3호
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pp.177-187
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2017
Objectives: Medical students represent a primary target for tobacco cessation training. This study assessed the prevalence of medical students' tobacco use, attitudes, clinical skills, and tobacco-related curricula in two countries, the US and Italy, with known baseline disparities in hopes of identifying potential corrective interventions. Methods: From September to December 2013, medical students enrolled at the University of Bologna and at Brown University were recruited via email to answer survey questions assessing the prevalence of medical students' tobacco use, attitudes and clinical skills related to patients' smoking, and elements of medical school curricula related to tobacco use. Results: Of the 449 medical students enrolled at Brown and the 1426 enrolled at Bologna, 174 Brown students (38.7%) and 527 Bologna students (36.9%) participated in this study. Italian students were more likely to smoke (29.5% vs. 6.1%; p<0.001) and less likely to receive smoking cessation training (9.4% vs. 80.3%; p<0.001) than their American counterparts, even though the majority of students in both countries desired smoking cessation training (98.6% at Brown, 85.4% at Bologna; p<0.001). Additionally, negative beliefs regarding tobacco usage, the absence of formal training in smoking cessation counseling, and a negative interest in receiving specific training on smoking cessation were associated with a higher risk of not investigating a patient's smoking status during a routine history and not offering tobacco cessation treatment to patients. Conclusions: Medical curricula on tobacco-related health hazards and on smoking cessation should be mandatory in order to reduce smoking among medical students, physicians, and patients, thereby improving tobacco-related global health.
Objective: This study is aimed to investigate whether surgical strategies for adult spinal deformity (ASD) treatment differed among Korean physicians. Methods: This study is retrospective questionnaire-based study. ASD is challenging to manage, with a broad range of clinical and radiological presentations. To investigate possible nationality- or ethnicity-related differences in the surgical strategies adopted for ASD treatment, the International Spine Study Group surveyed physicians' responses to 16 cases of ASD. We reviewed the answers to this survey from Korean physicians. Korean orthopedic surgeons (OS) and neurosurgeons (NS) received a questionnaire containing 16 cases and response forms via email. After reviewing the cases, physicians were asked to indicate whether they would treat each case with decompression or fusion. If fusion was chosen, physicians were also asked to indicate whether they would perform 3-column osteotomy. Retrospective chi-square analyses were performed to investigate whether the answers to each question differed according to training specialty or amount of surgical experience. Results: Twenty-nine physicians responded to our survey, of whom 12 were OS and 17 were NS. In addition, 18 (62.1%) had more than 10 years of experience in ASD correction and were assigned to the M10 group, while 11 (37.9%) had less than 10 years of experience and were assigned to the L10 group. We found that for all cases, the surgical strategies favored did not significantly differ between OS and NS or between the M10 and L10 groups. However, for both fusion surgery and 3-column osteotomy, opinions were divided regarding the necessity of the procedures in 4 of the 16 cases. Conclusion: The surgical strategies favored by physicians were similar for most cases regardless of their training specialty or experience. This suggests that these factors do not affect the surgical strategies selected for ASD treatment, with patient clinical and radiological characteristics having greater importance.
KSII Transactions on Internet and Information Systems (TIIS)
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제14권2호
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pp.671-686
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2020
Due to the long training time and high training cost of traditional surgical training methods, the emerging virtual surgical training method has gradually replaced it as the mainstream. However, the virtual surgical system suffers from poor authenticity and high computational cost problems. For overcoming the deficiency of these problems, we propose an optimized model for the local compression deformation of soft tissue. This model uses a simulated annealing algorithm to optimize the parameters of the soft tissue model to improve the authenticity of the simulation. Meanwhile, although the soft tissue deformation is divided into local deformation region and non-deformation region, our proposed model only needs to calculate and update the deformation region, which can improve the simulation real-time performance. Besides, we define a compensation strategy for the "superelastic" effect which often occurs with the mass-spring model. To verify the validity of the model, we carry out a compression simulation experiment of abdomen and human foot and compare it with other models. The experimental results indicate the proposed model is realistic and effective in soft tissue compression simulation, and it outperforms other models in accuracy and real-time performance.
For more than 2,500 years, surgical teaching has been based on the so called "see one, do one, teach one" paradigm, in which the surgical trainee learns by operating on patients under close supervision of peers and superiors. However, higher demands on the quality of patient care and rising malpractice costs have made it increasingly risky to train on patients. Minimally invasive surgery, in particular, has made it more difficult for an instructor to demonstrate the required manual skills. It has been recognized that, similar to flight simulators for pilots, virtual reality (VR) based surgical simulators promise a safer and more comprehensive way to train manual skills of medical personnel in general and surgeons in particular. One of the major challenges in the development of VR-based surgical trainers is the real-time and realistic simulation of interactions between surgical instruments and biological tissues. It involves multi-disciplinary research areas including soft tissue mechanical behavior, tool-tissue contact mechanics, computer haptics, computer graphics and robotics integrated into VR-based training systems. The research described in this paper addresses the problem of characterizing soft tissue properties for medical virtual environments. A system to measure in vivo mechanical properties of soft tissues was designed, and eleven sets of animal experiments were performed to measure in vivo and in vitro biomechanical properties of porcine intra-abdominal organs. Viscoelastic tissue parameters were then extracted by matching finite element model predictions with the empirical data. Finally, the tissue parameters were combined with geometric organ models segmented from the Visible Human Dataset and integrated into a minimally invasive surgical simulation system consisting of haptic interface devices and a graphic display.
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