Sauer P, Leidig G, Minne H W, Duckeck G, Schwarz W, Siromachkostov L, Ziegler R
Abteilung für Innere Med. I, Universität Heidelberg, Germany.
J Bone Miner Res. 1991 Mar;6(3):227-38. doi: 10.1002/jbmr.5650060304.
Radiologic identification of vertebral fractures is most important in the diagnosis and monitoring of patients with spinal osteoporosis. Different methods, using vertebral height measurements for fracture identification, have therefore been developed. We compared four methods for fracture identification in spinal x-rays of 62 female patients with primary osteoporosis. The methods of Hedlund and Gallagher, Melton et al., and Davies et al. are based on the ratio of heights within one vertebra or of the height ratios of adjacent vertebrae; all three methods result in counting the number of vertebral fractures. The fourth method of Minne et al. relates anterior, middle and posterior heights of the vertebrae between T5 and L5 to the respective heights of T4. The relative vertebral heights of patients with osteoporosis are compared to the respective relative heights (anterior, middle, and posterior) of normal subjects (T5-L5). This allows the identification of fractured vertebrae, as well as a quantification of the extent of deformation due to these fractures (spine deformity index, SDI). The same measurement data of 62 spinal x-rays of anterior, middle, and posterior heights between T4 and L5 were used to detect vertebral fractures by the four different methods. Correlation between the number of identified fractures by the different methods ranged between r = 0.56 and 0.83. On the other hand, we found a remarkable difference in the mean number of identified fractures and a discrepancy in the identification of single vertebrae as fractured or not. All four methods revealed an accumulation of fractures in the midthoracic area and in the region of transition from thoracic to lumbar spine. Vertebral fractures as identified by SDI were not detected by the other three methods in 12-29% of the cases, even if vertebral height reduction was more than 6 mm. The reliability of each method was examined by the determination of "decreasing" number of fractures during follow-up. A decrease in the number of fractures was found in about 25% patients, if using the three methods that count only the number of fractures. We obtained a 3.6% decrease in the number of fractures using the fourth method. Furthermore, the decrease in SDI values in follow-up was within the range of variance. We therefore believe that SDI and related procedures are reliable in quantifying spinal osteoporosis and monitoring during follow-up.
在脊柱骨质疏松症患者的诊断和监测中,椎体骨折的放射学识别至关重要。因此,已经开发出了不同的方法,利用椎体高度测量来识别骨折。我们比较了62例原发性骨质疏松症女性患者脊柱X线片中的四种骨折识别方法。赫德伦德和加拉格尔、梅尔顿等人以及戴维斯等人的方法基于单个椎体内的高度比或相邻椎体的高度比;这三种方法都用于计算椎体骨折的数量。明内等人的第四种方法将T5至L5椎体的前、中、后高度与T4的相应高度进行比较。将骨质疏松症患者的相对椎体高度与正常受试者(T5-L5)各自的相对高度(前、中、后)进行比较。这不仅可以识别骨折椎体,还能对这些骨折导致的变形程度进行量化(脊柱畸形指数,SDI)。使用62例T4至L5椎体前、中、后高度的相同脊柱X线测量数据,通过四种不同方法检测椎体骨折。不同方法识别出的骨折数量之间的相关性在r = 0.56至0.83之间。另一方面,我们发现识别出的骨折平均数量存在显著差异,并且在单个椎体是否骨折的识别上存在差异。所有四种方法都显示在胸中部区域以及胸腰段过渡区域骨折聚集。即使椎体高度降低超过6毫米,通过SDI识别出的椎体骨折在12%至29%的病例中未被其他三种方法检测到。通过确定随访期间“减少”的骨折数量来检验每种方法的可靠性。如果使用仅计算骨折数量的三种方法,约25%的患者骨折数量减少。使用第四种方法时,我们获得了3.6%的骨折数量减少。此外,随访期间SDI值的降低在方差范围内。因此,我们认为SDI及相关程序在量化脊柱骨质疏松症和随访监测方面是可靠的。