Software Platform for Automatic, Opportunistic Screening of Vertebral Compression Fractures

用于自动、机会性筛查椎骨压缩性骨折的软件平台

• 批准号: 10755827
• 负责人: ARA NAZARIAN
• 金额: $ 98.6万
• 依托单位: BIOSENSICS, LLC
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10755827
• 关键词: 3-Dimensional; Age; Alcohol consumption; Algorithms; Biomechanics; Body mass index; Bone Density; Caring; Chronic; Classification; Classification Scheme; Clinical; Clinics and Hospitals; Code; Collaborations; Compression Fracture; Computer software; Confidence Intervals; Data; Data Set; Databases; Detection; Development; Diagnosis; Disease; Economic Burden; Endocrinology; Ethnic Origin; Expenditure; Fracture; Future; Glucocorticoids; Hospitals; Image; Incidental Findings; Individual; Institution; International; Israel; Length; Life Cycle Stages; Maintenance; Measures; Medical; Medical Care Costs; Medical Device; Medical Imaging; Medical center; Metabolic Bone Diseases; Metastatic Neoplasm to the Bone; Minerals; Morbidity - disease rate; Musculoskeletal; Orthopedics; Osteoporosis; Osteoporotic; Pain; Parents; Patient Care; Patients; Phase; Physicians; Preventive measure; Process; Race; Radiology Specialty; Recording of previous events; Reporting; Rheumatoid Arthritis; Risk; Risk Assessment; Screening procedure; Skeleton; Small Business Innovation Research Grant; Smoking; Software Tools; Spinal Fractures; Techniques; Technology; Vertebral column; Work; X-Ray Computed Tomography; aging population; automated analysis; bone; bone mass; bone reconstruction; case finding; cloud based; commercialization; computed tomography screening; deep learning; design; fracture risk; functional disability; image processing; imaging study; indexing; mortality; osteoporosis with pathological fracture; reconstruction; screening; sex; spine bone structure; standard of care; tool; tumor; vertebra body

PROJECT SUMMARY / ABSTRACT Vertebral compression fracture (VCF) is the most common type of osteoporotic fracture. VCF burdens include, but are not limited to pain, functional impairment, increased risk of future fractures, medical costs and mortality. Only 1/3 of osteoporotic VCFs are symptomatic, and the remaining cases are found incidentally, thus, the burden of VCF disease is significantly underestimated. Despite this, around 700,000 osteoporotic VCFs are diagnosed annually in the US alone, resulting in an estimated annual economic burden of $13.8B. With an aging population, the rate of VCFs and its associated burdens are expected to rise. Therefore, it is of utmost importance to develop screening tools for VCF assessment and identifying individuals at risk of VCF. In this Direct Phase II SBIR project, BioSensics, in collaboration with Beth Israel Deaconess Medical Center will develop a cloud-based platform for automatic, opportunistic analysis of CT images that include spine. The solution will stand by in the central imaging data server of a hospital, investigate each non-investigated spine CT study, and flag the studies of patients that are detected to have osteoporosis or vertebra(e) at risk for fracture. The clinician providing care for the patient will then be prompted to consider ordering a screening for vertebral body compression fractures, bone mineral study or both, given the red flag from the analysis. Upon placing an order, a full report will be presented to the physician. This process is reimbursable under two Common Procedural Technology (CPT) codes that are relevant to the use of the proposed solution (CPT Code 77078 for bone mineral study using computed tomography, and Code 0X36T for reporting an automated analysis of an existing computed tomography study for vertebral fractures). The existing reimbursement CPT code and the significant added value of the proposed solution for hospitals and clinical institutions - in terms of generating additional direct revenue from using the solution as well as providing better care to patients at risk – will facilitate commercialization of the solution. In the longer term, the proposed imaging analysis technology can be used for automatic analysis of thousands of medical images that are taken every day in hospitals and clinics. This will enable detection of diseases and conditions at early stages (e.g., bone metastasis and different tumors), thus facilitating preventive measures and better care for those individuals at risk.

项目摘要 /摘要 椎骨压缩断裂（VCF）是骨质疏松骨折的最常见类型。 VCF伯恩斯 包括但不限于疼痛，功能障碍，增加未来骨折的风险，医疗费用和 死亡。只有1/3的骨质疏松VCF是有症状的，其余病例是偶然发现的，因此， VCF疾病的伯宁被显着低估。尽管如此，大约700,000骨疏松性VCF是 仅在美国就被诊断出，导致年度经济燃烧$ 13.8B。 随着人口老龄化，VCF及其相关的伯良的速率预计将上升。因此，是 为开发VCF评估和确定有VCF风险的个体的筛选工具至关重要。 在这个直接的II阶段SBIR项目中，生物敏学与贝丝以色列执事医疗中心合作 开发一个基于云的平台，以对包括脊柱在内的CT图像进行自动，机会分析。这 解决方案将在医院的中央成像数据服务器中备用，调查每个未审查的脊柱CT 研究，并标志着被发现患有骨质疏松症或椎骨（E）的患者的研究。 然后，将提示为患者提供护理的临床护理，以考虑订购椎骨筛查 鉴于分析中的危险信号，身体压缩骨折，骨矿物研究或两者兼而有之。放置 订单，将提供完整的报告给物理。 根据两种与 使用拟议的解决方案（CPT代码77078用于使用计算机断层扫描和 代码0x36T用于报告椎骨现有计算机断层扫描研究的自动分析 断裂）。现有的报销CPT代码以及提议的解决方案的显着附加值 医院和临床机构 - 在使用解决方案中获得额外的直接收入方面 作为为处于危险的患者提供更好的护理 - 将促进解决方案的商业化。从长远来看 提出的成像分析技术可用于自动分析数千个医学图像 每天在医院和诊所中拍摄。这将使早期发现疾病和情况检测 阶段（例如骨转移和不同肿瘤），从而促进预防措施并更好地护理 那些有危险的人。