Sima Stone, Sial Alisha, Sharma Suhani, Ananthakrishnan Dheera, Kuan Jeff, Diwan Ashish
Spine Labs, Department of Orthopedic Surgery, St George and Sutherland Clinical School University of New South Wales Sydney Australia.
Spine Service, Department of Orthopaedic Surgery St George Hospital Sydney Australia.
JOR Spine. 2025 Mar 6;8(1):e70056. doi: 10.1002/jsp2.70056. eCollection 2025 Mar.
Low back pain (LBP), a global disability leader, is often linked to intervertebral disc (IVD) degeneration. Traditional diagnostics like T2-weighted MRI provide qualitative but imprecise evaluations. A novel post-processing MRI technique, Decay Variance (DeVa), has shown promise in differentiating degenerate from healthy discs in animal studies. DeVa quantifies IVD degeneration by analyzing variations in signal intensities within each voxel in a T2* 2D FLASH multi-echo MRI sequence. This study aimed to validate DeVa clinically and explore its correlation with pain severity.
A cross-sectional study included 77 chronic LBP patients and 8 controls, who underwent T2-weighted and T2* 2D FLASH MRI. DeVa scores (worst and sum of all discs) were recorded, alongside traditional assessments like disc bulge, stenosis, high-intensity zones, and Pfirrmann grade. Pain severity was measured with a numerical rating scale. Statistical analyses included Pearson correlation, -tests, and Gardner-Altman plots to evaluate relationships between DeVa scores, degeneration, and pain.
DeVa scores correlated strongly with Pfirrmann grade ( = 0.692, < 0.001) and were significantly higher in discs with bulge, stenosis, or high-intensity zones ( < 0.001). Moderate correlations were observed between worst DeVa scores ( = 0.296, < 0.01), total DeVa scores ( = 0.323, < 0.005) and pain severity. Patients with chronic LBP without severe degeneration (Pfirrmann ≤ 3 with no stenosis observable on standard MRI) had significantly higher worst (1.38 ± 0.26 vs. 1.10 ± 0.29, < 0.005) and total (5.39 ± 0.75 vs. 4.65 ± 0.61, < 0.0.1) DeVa scores compared to controls.
DeVa offers a quantitative, noninvasive approach to assessing IVD degeneration, showing strong correlations with disc health and pain. It demonstrates enhanced sensitivity over traditional MRI, enabling the identification of pain-generating discs and informing personalized treatment strategies for chronic LBP. Further validation in larger populations is needed.
腰痛(LBP)是导致全球残疾的主要原因,常与椎间盘(IVD)退变相关。传统的诊断方法如T2加权磁共振成像(MRI)提供的是定性但不精确的评估。一种新的MRI后处理技术——衰减方差(DeVa),在动物研究中已显示出区分退变椎间盘与健康椎间盘的潜力。DeVa通过分析T2* 2D FLASH多回波MRI序列中每个体素内信号强度的变化来量化IVD退变。本研究旨在对DeVa进行临床验证,并探讨其与疼痛严重程度的相关性。
一项横断面研究纳入了77例慢性LBP患者和8例对照者,他们均接受了T2加权和T2* 2D FLASH MRI检查。记录DeVa评分(所有椎间盘的最差评分和总和),以及椎间盘膨出、狭窄、高强度区和Pfirrmann分级等传统评估指标。用数字评分量表测量疼痛严重程度。统计分析包括Pearson相关性分析、t检验和Gardner-Altman图,以评估DeVa评分、退变和疼痛之间的关系。
DeVa评分与Pfirrmann分级密切相关(r = 0.692,P < 0.001),在有膨出、狭窄或高强度区的椎间盘中显著更高(P < 0.001)。最差DeVa评分(r = 0.296,P < 0.01)、总DeVa评分(r = 0.323,P < 0.005)与疼痛严重程度之间存在中度相关性。慢性LBP且无严重退变(Pfirrmann≤3且标准MRI未观察到狭窄)的患者,其最差DeVa评分(1.38±0.26 vs. 1.10±0.29,P < 0.005)和总DeVa评分(5.39±0.75 vs. 4.65±0.61,P < 0.0.1)显著高于对照组。
DeVa提供了一种定量、无创的方法来评估IVD退变,与椎间盘健康状况和疼痛密切相关。它显示出比传统MRI更高的敏感性,能够识别产生疼痛的椎间盘,并为慢性LBP的个性化治疗策略提供依据。需要在更大规模的人群中进行进一步验证。