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基于 T2 加权信号强度的定量测量和 MRI 腰椎间盘退变的视觉分级的可靠性。

Reliability of T2-weighted signal intensity-based quantitative measurements and visual grading of lumbar disc degeneration on MRI.

机构信息

Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Department of Orthopaedics and Traumatology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

出版信息

Acta Radiol. 2023 Jun;64(6):2145-2151. doi: 10.1177/02841851231169079. Epub 2023 Apr 20.

Abstract

BACKGROUND

Decrease in signal intensity (SI) of the nucleus pulposus (NP) on T2-weighted (T2W) images, a sign of disc degeneration (DD), is usually graded based on an observer's image interpretation. No gold standard for quantitative assessment of NP SI exists to date.

PURPOSE

To compare different quantitative methods and visual gradings of lumbar DD and to evaluate the ability of the quantitative methods to differentiate DD grades.

MATERIAL AND METHODS

The mean SI of 95 lumbar discs was measured from sagittal T2W images using three regions of interest (ROI): the whole disc, ellipsoid ROI on the NP, and targeted ROI on the most homogenous, brightest area of the NP. SI values were adjusted with cerebrospinal fluid (CSF) SI and compared with vertebral bone SI-adjusted values. DD was evaluated with Pfirrmann grading and visual grading of NP SI. Intra- and inter-observer agreements and relationships between measurements and visual gradings were assessed.

RESULTS

Repeatability of all measurements was excellent. All measurements had a strong correlation with Pfirrmann grading and visual NP SI grading, and the CSF SI-adjusted values had a stronger correlation than the vertebral bone SI-adjusted values. The SI values obtained with the targeted ROI had the most significant differences between visual DD grades.

CONCLUSION

Quantitative measurement of the NP SI provides a reliable method for evaluating lumbar DD. Targeted selection of the NP structures included in the measurement offers the best differentiation of DD grades. A reliable quantitative method for DD evaluation is needed for the development of machine-learning-based DD classification.

摘要

背景

在 T2 加权(T2W)图像上,椎间盘(NP)信号强度(SI)的降低,即椎间盘退变(DD)的一个标志,通常基于观察者的图像解释进行分级。目前还没有用于 NP SI 定量评估的金标准。

目的

比较不同的定量方法和腰椎 DD 的视觉分级,并评估定量方法区分 DD 分级的能力。

材料和方法

使用三个感兴趣区(ROI):整个椎间盘、NP 的椭圆形 ROI 和 NP 最均匀、最亮区域的靶向 ROI,从矢状 T2W 图像上测量 95 个腰椎间盘的平均 SI。SI 值与脑脊液(CSF)SI 进行调整,并与椎体骨 SI 调整值进行比较。使用 Pfirrmann 分级和 NP SI 的视觉分级评估 DD。评估了测量的内部和观察者间一致性以及与视觉分级之间的关系。

结果

所有测量的重复性均极佳。所有测量均与 Pfirrmann 分级和 NP SI 视觉分级具有很强的相关性,而 CSF SI 调整值的相关性强于椎体骨 SI 调整值。与视觉 DD 分级之间具有最显著差异的是靶向 ROI 获得的 SI 值。

结论

NP SI 的定量测量为评估腰椎 DD 提供了可靠的方法。测量中包含的 NP 结构的靶向选择为 DD 分级的最佳区分提供了可能。需要开发用于 DD 评估的可靠定量方法,以便基于机器学习的 DD 分类的发展。

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