У нас вы можете посмотреть бесплатно V14-01: Design and Development of a High-Fidelity Transrectal Ultrasound (TRUS) Simulation Model или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
V14-01: Design and Development of a High-Fidelity Transrectal Ultrasound (TRUS) Simulation Model for Resident Education Authors: Patrick Saba, Rachel Melnyk, Kit Yuen, Alexis Steinmetz, Alexander Cranwell, Karen Doersch, Elizabeth Ellis, Mahmoud Khalil, Scott Quarrier, Rajat Jain, Jeanne O'Brien, Gareth Warren, Thomas Frye, Hani Rashid, Ahmed Ghazi Introduction: Transrectal ultrasound (TRUS) biopsy teaches the basics of ultrasound guided techniques while also providing a basis for more advanced prostate oncology diagnosis methods. TRUS can cause discomfort to patients and requires skills in three-dimensional orientation and interpretation of findings. Currently there is a lack of TRUS biopsy training methods that are accessible and provide realistic feedback outside of live patients. We sought to design a high-fidelity simulation model for resident education which can be used to further TRUS training techniques. Methods: A hydrogel model was developed containing a prostate with 6 colored zones (left/right, base, mid, and apex) for targeted biopsy, rectum, hollow seminal vesicles, and urethra. 6 experts (median cases completed = 550) and 6 residents completed =2 biopsies of each zone. Time to complete each biopsy, length of the most accurate core obtained from each region, and attempts to obtain a biopsy from the correct zone were collected along with feedback (free response and 5-point Likert scale questions) on the usefulness as a teaching/assessment tool and procedural/anatomical accuracy. Results: When asked how the model replicates the relevant human anatomy for the procedure, experts and novices rated the model 3.75/5 and 4.5/5 respectively. Additionally, both rated the model 4 when asked if the overall simulated tissue accurately resembles the appearance of live human tissue. Furthermore, both groups rated the model highly (=4) for the procedural realism. When asked about teaching using the model, experts and novices rated the model highly (=4) agreeing that the model is useful for improving technical skills, teaching the procedure, and assessing the user’s ability to perform the procedure. Experts took significantly less attempts and time per biopsy region, less time per attempt, and reported significantly lower difficulty than novices (2.4 v 3.7, p=0.001; 59.8 v 123.9, p 0.001; 23.3 v 31.3, p=0.001; 3.0 v 4.8, p=0.001, respectively). However, both groups best core accuracy in each region was similar for all attempts (88% v 92%, p=0.31). Conclusions: This TRUS biopsy model incorporates essential components for inclusion in resident training curriculum as a teaching and assessment tool by providing instantaneous feedback and procedural metrics while displaying high anatomical and procedural realism ratings. Ultimately this model can also serve as the basis for virtual learning, utilizing its portable and non-biohazardous properties in combination with merged reality software. Source of Funding: n/a