王兵,董越,郑邵微,王茹欣,孙利飞,刘爱连,刘义军,张欣.CT能谱成像鉴别诊断肺癌成骨性转移瘤与骨岛的价值[J].中国医学影像技术,2014,30(10):1552~1556
CT能谱成像鉴别诊断肺癌成骨性转移瘤与骨岛的价值
Spectral CT imaging in differential diagnosis of osteoblastic metastases and bone islands in patients with lung cancer
投稿时间:2014-04-17  修订日期:2014-08-05
DOI:
中文关键词:  体层摄影术, X线计算机  单能量影像  成骨性转移瘤  骨岛  肺肿瘤
英文关键词:Tomography, X-ray computed  Monochromatic image  Osteoblastic metastasis  Bone island  Lung neoplasms
基金项目:
作者单位E-mail
王兵 大连医科大学附属第一医院放射科, 辽宁 大连 116011  
董越 大连医科大学附属第一医院放射科, 辽宁 大连 116011 dyy1026@sina.com 
郑邵微 大连医科大学附属第一医院放射科, 辽宁 大连 116011  
王茹欣 大连医科大学附属第一医院放射科, 辽宁 大连 116011  
孙利飞 大连医科大学附属第一医院放射科, 辽宁 大连 116011  
刘爱连 大连医科大学附属第一医院放射科, 辽宁 大连 116011  
刘义军 大连医科大学附属第一医院放射科, 辽宁 大连 116011  
张欣 大连医科大学附属第一医院核医学科, 辽宁 大连 116011  
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中文摘要:
      目的 探讨能谱成像鉴别诊断肺癌患者脊柱成骨性转移瘤与骨岛的价值。方法 回顾性分析64例经病理证实的肺癌患者胸部或腹部能谱CT平扫图像,选择直径在0.5~1.5 cm之间的局限性椎体内高密度灶作为研究对象,由综合影像做出成骨性转移瘤或骨岛的最终诊断。分别测量椎体内局限性高密度灶的140 kVp混合能量以及50~130 keV单能量成像的CT值和SD值,以及骨(水)和水(骨)密度。应用独立样本t检验比较骨岛与成骨性转移两组各测量结果的差异,应用ROC曲线判断不同影像参数对两者的鉴别诊断效能。结果 88个局限性高密度灶纳入研究(45个成骨性转移瘤,43个骨岛)。成骨性转移瘤的混合能量和单能量的CT值、SD值均低于骨岛(P均<0.05);成骨性转移瘤的水(骨)密度高于骨岛,骨(水)密度低于骨岛 (P均<0.05)。应用140 kVp及各单能量图像CT值鉴别诊断成骨性转移瘤与骨岛的ROC曲线分析显示,140 kVp图像的AUC最大、为0.741(临界CT值:734.24 HU),高keV单能量影像(110 keV,130 keV)SD值的AUC最大、均为0.873(临界SD值分别为:57.15 HU、53.71 HU),骨(水)密度、水(骨)密度的AUC均较大,分别为0.734、0.739(临界值分别为1433.30、93.99 mg/cm3)。结论 能谱CT对于鉴别成骨性转移瘤和骨岛有一定意义,高keV(110、130 keV)单能量图像上病变SD值具有最高的诊断效能。
英文摘要:
      Objective To explore diagnostic value of spectral CT for the differentiation of osteoblastic metastases (OBMs) and bone islands (BIs) in patients with lung cancer. Methods In 64 patients with lung cancer undergoing spectral CT, focal hyperdense lesions on vertebral body were diagnosed as OBMs or BIs by images. ROI were placed within all lesions on traditional CT at 140 kVp and virtual monochromatic spectral (VMS) CT. The CT value and its standard deviation (SD) at 140 kVp and 50—130 keV, bone (water) and water (bone) densities between OBMs and BIs were compared by independent-sample t-test, and the ROC analysis was performed to compare the diagnostic efficiency for the OBMs and BIs. Results Totally 88 lesions consisting of 45 OBMs and 43 BIs were confirmed. The 140 kVp, VMS CT and SD values of the OBMs were lower than that of the BIs (all P <0.05). The Dwa(bone) of the OBMs was higher than that of BIs, and the Dbone(wa) of OBMs was lower than that of BIs (both P <0.05). The area under curve (AUC) for CT value was 0.741 at 140 keV image (cut-off value 734.24 HU). The AUC for SD value on high-energy VMS images (110, 130 keV) were both 0.873 (cut-off value 57.15 HU, 53.71 HU). And the AUC for Dbone (wa) and Dwa(bone) was 0.73 and 0.74, respectively (cut-off value 1433.30, 93.99 mg/cm3). Conclusion Spectral CT is helpful for the differentiation of OBMs and BIs in patients with lung cancer, particularly the SD value on high-energy VMS CT image (110, 130 keV).
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