Claus Alexandra M, Totterman Saara M, Sychterz Christi J, Tamez-Peña José G, Looney R John, Engh Charles A
Fakultaet fuer Klinische Medizin der Universitaet Heidelberg, Klinikum Mannheim gGmbH, Orthopaedische Universitaetsklinik, Mannheim, Germany.
Clin Orthop Relat Res. 2004 May(422):167-74. doi: 10.1097/01.blo.0000129345.22322.8a.
To assess the accuracy of a computer-assisted computed tomography image analysis program in determining the location and volume of periacetabular osteolysis, we designed an osteolysis model by implanting bilateral total hip replacements in human pelvic cadavers and creating osteolytic lesions of varying sizes. The volumes of 48 defects were measured physically, and axial computed tomography scans were obtained. The computed tomography images were processed with streak artifact reduction and segmentation algorithms. The location and volume of lesions were determined from these images. Eighty-one percent (39 lesions) were identified correctly from the computed tomography scans. Detection was location-dependent. More lesions were detected in the ilium (100%) and at the rim (89%) than in the ischium (78%) or the pubis (50%). Computed tomography overestimated lesion volume by a mean of 0.5 +/- 2.3 cm. The volumetric error was unrelated to lesion location but was dependent on lesion size. As lesion size increased above 10 cm, the mean percentage error decreased to 1.8%. Computed tomography image analysis can be used more accurately than plain radiographs to investigate the effectiveness of treatment and the natural history of pelvic osteolysis.
为评估计算机辅助计算机断层扫描(CT)图像分析程序在确定髋臼周围骨溶解的位置和体积方面的准确性,我们通过在人体骨盆尸体中植入双侧全髋关节置换物并制造不同大小的溶骨病变来设计一个骨溶解模型。对48个缺损的体积进行了物理测量,并获得了轴向CT扫描图像。使用条纹伪影减少和分割算法对CT图像进行处理。从这些图像中确定病变的位置和体积。在CT扫描中,81%(39个病变)被正确识别。检测与位置有关。在髂骨(100%)和髋臼边缘(89%)检测到的病变比在坐骨(78%)或耻骨(50%)更多。CT平均高估病变体积0.5±2.3立方厘米。体积误差与病变位置无关,但取决于病变大小。当病变大小增加到10立方厘米以上时,平均百分比误差降至1.8%。与普通X线片相比,CT图像分析可更准确地用于研究骨盆骨溶解的治疗效果和自然病程。