Quantitative bone radiomics using Ultra-High Resolution CT

使用超高分辨率 CT 进行定量骨放射组学

• 批准号: 10211363
• 负责人: Wojciech Bartosz Zbijewski
• 金额: $ 47.4万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10211363
• 关键词: Affect; Algorithms; American; Biological Markers; Biological Models; Biomechanics; Body Size; Bone Density; Bone Growth; Clinical; Competence; Degenerative polyarthritis; Diagnosis; Diagnostic Imaging; Diagnostic radiologic examination; Disease; Dose; Early Diagnosis; Emerging Technologies; Failure; Forteo; Generations; Geometry; Goals; Health Care Costs; High Resolution Computed Tomography; Human; Image; Image Analysis; Investigation; Light; Magnetic Resonance Imaging; Manufacturer Name; Measurement; Mechanics; Mediating; Monitor; Morbidity - disease rate; Noise; Operative Surgical Procedures; Orthopedics; Osteoporosis; Outcome; Patients; Performance; Perioperative; Pharmaceutical Preparations; Process; Protocols documentation; Quantitative Evaluations; Reproducibility; Research; Resolution; Risk Assessment; Roentgen Rays; Sampling; Scanning; Standardization; System; Techniques; Technology; Texture; Thick; Trabecular Bone Score; Validation; Vertebral column; X-Ray Computed Tomography; base; bone; bone health; bone quality; cartilage degradation; clinical biomarkers; clinical development; cone-beam computed tomography; detector; experimental study; fracture risk; high resolution imaging; imaging modality; imaging system; improved; in vivo; in vivo evaluation; interest; microCT; mortality; novel; preclinical study; prevent; prospective; radiomics; reconstruction; risk stratification; simulation; spectrograph; spine bone structure; substantia spongiosa; tool; ultra high resolution

PROJECT SUMMARY / ABSTRACT Osteoporosis (OP) and osteoarthritis (OA) cumulatively affect more than 40 million Americans. Both OP and OA are underdiagnosed and undertreated because of the limited accuracy of existing tools for diagnosis and treatment monitoring. The need for improved biomarkers of OP and OA spurred interest in quantitative evaluation of texture features of cancellous bone derived from radiography, CT, and MRI. In such “bone radiomics”, image texture provides an indirect assessment of the trabecular geometry (≤100 µm detail size) that is better suited to the limited resolution of diagnostic imaging modalities than the direct measurements used in e.g. micro-CT. Initial clinical validation of textural bone biomarkers showed promising performance in prediction of vertebral failure and progression of OA. However, rigorous investigation of how the image formation process affects textural biomarkers is essential to establish standardized protocols for imaging and analysis in bone radiomics – especially in light of emerging technologies for high-resolution imaging. Recently, new CT scanners with ~2x improved spatial resolution compared to conventional CT have been introduced by major manufacturers, including the Canon Precision system that will be used in this project. This new generation of ultra-high resolution CT (UHR CT) is capable of visualizing ~150 µm details, approaching the trabecular thickness and thus potentially enabling a breakthrough in in-vivo evaluation of bone micorarchitecture. We hypothesize that the improved spatial resolution of UHR CT will lead to better quantitative performance of bone radiomics than normal resolution CT (NR CT) or x-ray absorptiometry (DXA). To establish the clinical utility of bone radiomics using UHR-CT, the following Aims will be pursued: 1) Perform the first comprehensive assessment of the sensitivity of CT-based texture features of bone to key components of the CT imaging chain (e.g., scan and reconstruction protocol) using a high-fidelity CT simulator and experimental studies in bone core samples. We will establish UHR and NR CT features that are correlated to trabecular geometry and reproducible with respect to body size and dose. 2) Demonstrate improved prediction of trabecular stiffness using UHR CT texture features. Multivariate regression between stiffness and texture bone features investigated in Aim 1 will be performed for ~300 bone cores using UHR CT and NR CT. We will demonstrate improved stiffness estimates with UHR CT compared to NR CT. 3) Perform a clinical pilot of UHR CT-based texture features in longitudinal monitoring of OP treatment. We will acquire longitudinal UHR CT and DXA of 20 spine fusion patients being treated with OP drug to optimize their bone quality. We will demonstrate that radiomic features from UHR CT detect changes in bone quality earlier than DXA. We will also investigate the feasibility of bone radiomics in prediction of fusion outcomes. Successful completion of the Aims will establish quantitative UHR CT-based bone radiomics as a novel tool for in-vivo assessment of bone health in OA and OP, with downstream reduction of patient morbidity and mortality.

项目摘要 /摘要 骨质疏松症（OP）和骨关节炎（OA）累计影响超过4000万美国人。 OP和OA 由于现有工具的诊断和 治疗监测。需要改善对定量评估的OP和OA刺激兴趣的生物标志物的需求 取消骨骼，CT和MRI的取消骨骼的质地特征。在这种“骨放射学”中，图像 质地提供了小梁几何形状的间接评估（≤100µm的详细信息），这更适合于 诊断成像方式的分辨率有限，而不是在例如Micro-CT。最初的 纹理骨生物标志物的临床验证在椎骨衰竭预测中表现出希望的表现 和OA的进展。但是，严格研究图像形成过程如何影响纹理 生物标志物对于建立用于骨放射学中成像和分析的标准化方案至关重要 - 特别是鉴于用于高分辨率成像的新兴技术。最近，新的CT扫描仪〜2x 与常规CT相比，主要制造商引入了空间分辨率的改进， 包括将在此项目中使用的佳能精密系统。新一代的超高分辨率 CT（UHR CT）能够可视化〜150 µm的细节，接近小梁厚度，从而潜在 在骨微结构的体内评估中取得了突破。我们假设改善了 UHR CT的空间分辨率将导致骨放射素学比正常分辨率更好 CT（NR CT）或X射线绝对肽仪（DXA）。为了使用UHR-CT建立骨放射素学的临床实用性， 将追求以下目标：1）对基于CT的灵敏度进行首次全面评估 骨头的质地特征到CT成像链的关键组成部分（例如，扫描和重建协议） 使用高保真CT模拟器和骨核心样品中的实验研究。我们将建立UHR和 与小梁几何形状相关的NR CT特征，并且相对于体型和剂量可再现。 2）使用UHR CT纹理特征，证明了小梁刚度的改进预测。多变量 AIM 1中研究的刚度和纹理骨特征之间的回归将以〜300骨进行 使用UHR CT和NR CT的核心。与UHR CT相比 NR CT。 3）在OP治疗的纵向监测中，执行基于UHR CT的纹理特征的临床试验。 我们将获得20名用OP药物治疗的20名脊柱融合患者的纵向UHR CT和DXA以优化 他们的骨骼质量。我们将证明UHR CT的放射线特征检测到骨质量的变化 早于DXA。我们还将研究骨放射素学在融合结局预测中的可行性。 成功完成目标将建立基于定量的UHR CT骨放射素学作为新颖的工具 体内评估OA和OP的骨骼健康，下游降低了患者的发病率和死亡率。