权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)

虚拟电外科技能训练器 (VEST) 的开发和验证

基本信息

批准号：
9314976
负责人：
CAROLINE GL CAO
金额：
$ 2.5万
依托单位：
RENSSELAER POLYTECHNIC INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2017-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9314976
关键词：
Advisory Committees American Auditory Blood Vessels Board Certification Cholelithiasis Communities Competence Complex Computational algorithm Computer Simulation Computers Controlled Environment Cues Data Development Devices Diagnosis Dissection Education Educational Curriculum Educational process of instructing Electrocoagulation Electrodes Electrosurgery Ensure Environment Feedback Frequencies Goals Healed Healthcare Systems Hemorrhage Hemostatic function Image Incidence Individual Injury Interdisciplinary Study Intestines Laparoscopic Cholecystectomy Laparoscopic Surgical Procedures Learning Length of Stay Measures Mentors Minimally Invasive Surgical Procedures Modeling Morbidity - disease rate Motor Skills Movement Operating Rooms Operative Surgical Procedures Organ Patient-Focused Outcomes Patients Perforation Performance Physics Physiological Procedures Process Recording of previous events Regimen Reporting Research Research Project Grants Risk Societies Surgeon Surgical complication Surgical sutures System Technical Expertise Techniques Technology Time Tissues Touch sensation Training Translating Treatment Cost Validation Visual apprenticeship base bile duct design experience eye hand coordination gastrointestinal haptics healing improved in vivo instrument minimally invasive multidisciplinary novel pressure programs prototype research study seal skills skills training soft tissue tool two-dimensional vaporization virtual virtual reality

项目摘要

DESCRIPTION (provided by applicant): "Electrosurgery" is now becoming universally accepted as the technique of choice in most minimally invasive surgical (MIS) procedures for achieving a variety of tissue effects ranging from dissection to hemostasis (control of bleeding) using high frequency electrical energy. However, there exists no standardized curriculum or training regimen outside the operating room (OR), for the surgical community to safely and effectively use the complex electrosurgical instruments. It is anticipated that a virtual reality (VR)-based trainer, with visual and haptic (touch) feedback, will be invaluable for electrosurgical skill training, allowing the trainees to attain competence in a controlled environment that does not expose actual patients to the bare brunt of their "learning curves"; customization based on individual needs; and real time feedback, mentoring and objective assessment without the need for a proctor. While a few VR-based trainers exist for laparoscopic psychomotor skill training (i.e., training for hand-eye coordination and motor skills necessary for tasks such as tool movement, cutting, suturing, etc), none exists specifically for electrosurgical procedures as major technological hurdles must be overcome, including (1) realistic physics-based modeling of the complex bio- physics of tissue cutting, hemostasis and tissue joining; (2) physical in vivo experiments to determine tissue parameters and support modeling and validation; and (3) novel realistic VR interfaces. The goal of this project is to overcome these technological barriers and design, develop and evaluate the first Virtual Electrosurgical Skill Trainer (VEST). To accomplish the goals of the project, a multidisciplinary team has been assembled to achieve the following Specific Aims: (SA1) Develop physics-based computational technology for modeling, in real time, the interaction of electrosurgical devices with soft tissue: Specifically, we will develop physics-based computational models of electrosurgical tissue cutting, joining and hemostasis based on in vivo studies. Novel computational algorithms will be developed to allow real time performance. (SA2) Design and develop a realistic VEST platform: We will integrate the computational models and experimental data generated in SA1 and develop the prototype of the VEST with training scenarios for (1) tissue dissection; (2) arc fulguration and (3) coaptive vessel closure. VEST will include real time feedback identifying errors; visual, auditory and haptic cues to guide the trainee; display of physiological consequence of surgical complications; effects of alternate surgical procedures and devices as well as automatic real time assessment of surgical skill. (SA3) Establish the validity of the VEST as a training tool. We will conduct experiments at the Skills Lab at BIDMC to ensure that the tasks in VEST reflect the technical skills in electrosurgery, and the scores measured in VEST are the appropriate performance metrics in assessing training. (SA4) Evaluate the usefulness of the VEST as a training tool. By dividing subjects into practice and non-practice groups we will study whether training on the VEST transfers positively to the OR.

描述（由申请人提供）：“电外科”目前已被普遍接受为大多数微创外科（MIS）手术的首选技术，用于使用高频电能实现从剥离到止血（控制出血）的各种组织效应。然而，手术室（OR）之外没有标准化的课程或培训方案，无法让外科界安全有效地使用复杂的电外科仪器。预计基于虚拟现实（VR）的训练器，具有视觉和触觉（触摸）反馈，将对电外科手术非常有用。技能培训，使受训者能够在一个受控的环境中获得能力，这种环境不会使实际的病人暴露在他们的“学习曲线”的冲击之下;根据个人需要进行定制;以及真实的时间反馈、指导和客观评估，而不需要普罗克特。虽然存在一些基于VR的训练器用于腹腔镜心理学技能训练（即，对于诸如工具移动、切割、止血等任务所必需的手眼协调和运动技能的训练），由于必须克服的主要技术障碍，没有专门用于电外科手术的训练，包括（1）组织切割、止血和组织接合的复杂生物物理学的基于现实物理学的建模;（2）确定组织参数并支持建模和验证的体内物理实验;以及（3）新颖的逼真VR界面。本项目的目标是克服这些技术障碍，设计、开发和评估第一个虚拟电刀技能培训器（VEST）。为了实现该项目的目标，组建了一个多学科团队，以实现以下具体目标：（SA 1）开发基于物理学的计算技术，用于对电外科设备与软组织的相互作用进行真实的实时建模：具体来说，我们将根据体内研究开发电外科组织切割、接合和止血的基于物理学的计算模型。将开发新的计算算法以实现真实的时间性能。(SA2)设计和开发一个逼真的VEST平台：我们将整合SA 1中生成的计算模型和实验数据，并开发VEST原型，其中包括（1）组织解剖;（2）电弧电灼和（3）对合血管闭合的培训场景。VEST将包括识别错误的真实的时间反馈;指导受训者的视觉、听觉和触觉提示;手术并发症的生理后果显示;替代手术程序和器械的影响以及手术技能的自动真实的时间评估。(SA3)确定VEST作为培训工具的有效性。我们将在BIDMC的技能实验室进行实验，以确保VEST中的任务反映了电外科的技术技能，并且VEST中测量的分数是评估培训的适当性能指标。(SA4)评估VEST作为培训工具的实用性。通过将受试者分为实践组和非实践组，我们将研究在VEST上的培训是否会积极地转移到OR。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments.

DOI：
10.1117/1.nph.8.1.015008
发表时间：
2021-01
期刊：
Neurophotonics
影响因子：
5.3
作者：
Nemani A;Kamat A;Gao Y;Yucel M;Gee D;Cooper C;Schwaitzberg S;Intes X;Dutta A;De S
通讯作者：
De S

Measurement of Temperature Dependent Apparent Specific Heat Capacity in Electrosurgery.

电外科中温度相关的表观比热容的测量。

DOI：
发表时间：
2016
期刊：
Studies in health technology and informatics
影响因子：
0
作者：
Karaki,Wafaa;Akyildiz,Ali;BorcaTasciuc,Diana-Andra;De,Suvranu
通讯作者：
De,Suvranu

Energy Dissipation in Ex Vivo Porcine Liver During Electrosurgery.

DOI：
10.1109/tbme.2016.2595525
发表时间：
2017-06
期刊：
IEEE transactions on bio-medical engineering
影响因子：
0
作者：
Karaki W;Akyildiz A;De S;Borca Tasciuc DA
通讯作者：
Borca Tasciuc DA

Erratum to: Surgeons don't know what they don't know about the safe use of energy in surgery.

勘误：外科医生不知道他们不知道手术中安全使用能量的情况。

DOI：
发表时间：
2013
期刊：
Surgical endoscopy
影响因子：
0
作者：
Feldman,LianeS;Fuchshuber,Pascal;Jones,DanielB;Mischna,Jessica;Schwaitzberg,StevenD;theFUSE(FundamentalUseofSurgicalEnergyýýý)TaskForce
通讯作者：
theFUSE(FundamentalUseofSurgicalEnergyýýý)TaskForce

Toward the development of a virtual electrosurgery training simulator.

开发虚拟电外科训练模拟器。