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.

项目概要/摘要 椎体压缩骨折（VCF）是最常见的骨质疏松性骨折类型。 VCF 负担 包括但不限于疼痛、功能障碍、未来骨折风险增加、医疗费用和 死亡。只有1/3的骨质疏松性VCF有症状，其余病例是偶然发现的，因此， VCF 疾病的负担被严重低估。尽管如此，仍有大约 700,000 个骨质疏松 VCF 仅在美国每年都会被诊断出来，导致每年的经济负担估计为 $13.8B。 随着人口老龄化，VCF 率及其相关负担预计将会上升。因此，它是 开发用于 VCF 评估和识别有 VCF 风险的个人的筛查工具至关重要。 在这个直接二期 SBIR 项目中，BioSensics 与 Beth Israel Deaconess 医疗中心合作，将 开发一个基于云的平台，用于对包括脊柱在内的 CT 图像进行自动、机会性分析。这 解决方案将驻留在医院的中央影像数据服务器中，调查每一个未调查的脊柱CT 研究，并标记检测出患有骨质疏松症或椎骨有骨折风险的患者的研究。 然后，将提示为患者提供护理的临床医生考虑进行椎骨筛查 身体压缩性骨折、骨矿物质研究或两者兼而有之，分析给出危险信号。放置后 命令后，将向医生提交完整的报告。 此过程可根据与以下相关的两个通用程序技术 (CPT) 代码进行报销： 使用建议的解决方案（CPT 代码 77078，使用计算机断层扫描进行骨矿物质研究，以及 代码 0X36T 用于报告现有椎骨计算机断层扫描研究的自动分析 骨折）。现有报销 CPT 代码和拟议解决方案的显着附加值 医院和临床机构 - 也通过使用该解决方案产生额外的直接收入 为面临风险的患者提供更好的护理——将促进该解决方案的商业化。从长远来看， 所提出的成像分析技术可用于自动分析数千张医学图像 每天在医院和诊所进行的检查。这将有助于及早发现疾病和状况 阶段（例如骨转移和不同的肿瘤），从而促进预防措施和更好的护理 那些处于危险之中的人。