PDF(Pubmed)
Abstract：
Robust reference data, representing a large and diverse population, are needed to objectively classify measurements of spondylolisthesis and disc space narrowing as normal or abnormal. The reference data should be open access to drive standardization across technology developers. The large collection of radiographs from the 2nd National Health and Nutrition Examination Survey was used to establish reference data. A pipeline of neural networks and coded logic was used to place landmarks on the corners of all vertebrae, and these landmarks were used to calculate multiple disc space metrics. Descriptive statistics for nine SPO and disc metrics were tabulated and used to identify normal discs, and data for only the normal discs were used to arrive at reference data. A spondylolisthesis index was developed that accounts for important variables. These reference data facilitate simplified and standardized reporting of multiple intervertebral disc metrics.
摘要：
可靠的参考数据，代表着庞大而多样的人口，需要客观地将脊椎滑脱和椎间盘间隙狭窄的测量分类为正常或异常。参考数据应该是开放的，以推动跨技术开发人员的标准化。来自第二次全国健康和营养检查调查的大量X射线照片被用来建立参考数据。神经网络和编码逻辑的管道被用来在所有椎骨的角落放置标志，这些标志被用来计算多个椎间盘空间指标。列出了9个SPO和光盘指标的描述性统计数据，并用于识别正常光盘，并且仅使用正常光盘的数据来获得参考数据。开发了脊椎滑脱指数，该指数考虑了重要变量。这些参考数据有助于多个椎间盘指标的简化和标准化报告。
