Yamashita Koji, Yoshiura Takashi, Hiwatashi Akio, Togao Osamu, Kikuchi Kazufumi, Inoguchi Takashi, Kumazawa Seiji, Honda Hiroshi
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan,
Eur Arch Otorhinolaryngol. 2014 Dec;271(12):3277-82. doi: 10.1007/s00405-014-2933-6. Epub 2014 Feb 18.
Bone density measurements using high-resolution CT have been reported to be useful to diagnose fenestral otosclerosis. However, small region of interest (ROI) chosen by less-experienced radiologists may result in false-negative findings. Semi-automatic analysis such as CT histogram analysis may offer improved assessment. The aim of this study was to evaluate the utility of CT histogram analysis in diagnosing fenestral otosclerosis. Temporal bone CT of consecutive patients with otosclerosis and normal controls was retrospectively analyzed. The control group consisted of the normal-hearing contralateral ears of patients with otitis media, cholesteatoma, trauma, facial nerve palsy, or tinnitus. All CT images were obtained using a 64-detector-row CT scanner with 0.5-mm collimation. AROI encompassing 10 × 10 pixels was placed in the bony labyrinth located anterior to the oval window. The mean CT value, variance and entropy were compared between otosclerosis patients and normal controls using Student's t test. The number of pixels below mean minus SD in the control (%Lowcont) and total subjects (%Lowtotal) were also compared. In addition, the area under the receiver operating characteristic curves (AUC) value for the discrimination between otosclerosis patients and normal controls was calculated. 51 temporal bones of 38 patients with otosclerosis and 30 temporal bones of 30 control subjects were included. The mean CT value was significantly lower in otosclerosis cases than in normal controls (p < 0.01). In addition, variance, entropy, %Lowcont and %Lowtotal were significantly higher in otosclerosis cases than in normal controls (p < 0.01, respectively). The AUC values for the mean CT value, %Lowcont and %Lowtotal were 0.751, 0.760 and 0.765, respectively. In conclusion, our results demonstrated that histogram analysis of CT image may be of clinical value in diagnosing otosclerosis.
据报道,使用高分辨率CT进行骨密度测量有助于诊断镫骨型耳硬化症。然而,经验不足的放射科医生选择的小感兴趣区域(ROI)可能会导致假阴性结果。诸如CT直方图分析等半自动分析可能会提供更好的评估。本研究的目的是评估CT直方图分析在诊断镫骨型耳硬化症中的效用。对连续性耳硬化症患者和正常对照者的颞骨CT进行回顾性分析。对照组由患有中耳炎、胆脂瘤、外伤、面神经麻痹或耳鸣患者的听力正常的对侧耳组成。所有CT图像均使用具有0.5毫米准直的64排探测器CT扫描仪获得。在椭圆窗前方的骨迷路中放置一个包含10×10像素的感兴趣区域(ROI)。使用学生t检验比较耳硬化症患者和正常对照者之间的平均CT值、方差和熵。还比较了对照组中低于平均值减标准差的像素数量(%Lowcont)和所有受试者中低于平均值减标准差的像素数量(%Lowtotal)。此外,计算了用于区分耳硬化症患者和正常对照者的受试者操作特征曲线(ROC)下的面积(AUC)值。纳入了38例耳硬化症患者的51块颞骨和30例对照受试者的30块颞骨。耳硬化症病例的平均CT值显著低于正常对照者(p<0.01)。此外,耳硬化症病例的方差、熵、%Lowcont和%Lowtotal显著高于正常对照者(分别为p<0.01)。平均CT值、%Lowcont和%Lowtotal的AUC值分别为0.751、0.760和0.765。总之,我们的结果表明,CT图像的直方图分析在诊断耳硬化症中可能具有临床价值。