TOPIC 425 - COMPUTER VISION-BASED ANALYSIS OF GAIT FOR THE ASSESSMENT OF GERIATRIC CANCER

主题 425 - 用于评估老年癌症的基于计算机视觉的步态分析

• 批准号: 10498246
• 负责人: BEHNOOD GHOLAMI
• 金额: $ 39.99万
• 依托单位: AUTONOMOUS HEALTHCARE, INC.
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-16 至 2022-06-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10498246
• 关键词: Accelerometer; Algorithms; Archives; Cancer Patient; Caring; Characteristics; Clinic; Clinical; Clinical Research; Clinical assessments; Computer Vision Systems; Computer software; Data; Data Collection; Development; Elderly; Enrollment; Equilibrium; Face; Gait; Gait speed; Geriatric Assessment; Institution; Interview; Ireland; Leg; Length; Malignant Neoplasms; Manuals; Medical; Memorial Sloan-Kettering Cancer Center; Metadata; New York City; Nurse Practitioners; Oncologist; Oncology; Online Systems; Operative Surgical Procedures; Outcome; Patients; Pharmaceutical Preparations; Phase; Point of Care Technology; Process; Protocols documentation; Publishing; Registered nurse; Standardization; Structure; Techniques; Testing; Time; Training; Video Recording; Work; automated analysis; base; chemotherapy; clinically relevant; data repository; demographics; design; fall injury; fall risk; frailty; gait examination; graphical user interface; indexing; interest; mortality; neurotoxic; neurotoxicity; older patient; patient privacy; preservation; prototype; public repository; repository; research clinical testing; sensor; walking speed; wearable sensor technology

Older patients with cancer undergo detailed clinical assessment prior to and after surgery as well as prior to and during chemotherapy. Studies show that frailty (quantified by the frailty index) and various gait characteristics such as gait speed or tests such as timed up and go (TUG) are predictors of mortality for surgical geriatric cancer patients. In addition, the neurotoxicity associated with some of the chemotherapy drugs can have a significant impact on the mobility and balance of the older patient increasing the risk of fall-related injuries, and hence, an objective assessment of patient's balance as part of a comprehensive geriatric assessment (CGA) may be associated with cancer-related outcomes. However, given the time constraints in oncology clinics, many oncologists do not assess gait and balance of older adults with cancer. In this study, we propose to build on our earlier work to develop an easy-to-use point-of-care technology for objective gait assessment in geriatric cancer patients using computer vision. As part of the process, an access-controlled public repository of videos will be developed to cultivate development of computer vision techniques for gait assessment.

老年癌症患者在手术前和手术后以及化疗前和化疗期间接受详细的临床评估。研究表明，虚弱（通过虚弱指数量化）和各种步态 步态速度等特征或计时启动 (TUG) 等测试是老年癌症手术患者死亡率的预测因素。此外，与某些化疗药物相关的神经毒性可能会对老年患者的活动能力和平衡产生重大影响，增加跌倒相关伤害的风险，因此，作为综合老年评估（CGA）一部分对患者平衡能力的客观评估可能与癌症相关结果相关。然而，考虑到肿瘤诊所的时间限制，许多肿瘤学家没有评估患有癌症的老年人的步态和平衡能力。在这项研究中，我们建议在我们早期工作的基础上开发一种易于使用的护理点技术，使用计算机视觉对老年癌症患者进行客观步态评估。作为该过程的一部分，将开发一个访问控制的公共视频存储库，以促进步态评估计算机视觉技术的发展。