Yue Dong, Ru Xin Wang, Jing Chen, Fan Rong Cheng, Li Fei Sun, Ai Lian Liu, Ya Hong Luo
1 Department of Radiology, Cancer Hospital of China Medical University, LiaoNing Cancer Hospital, Shenyang, Liaoning, PR China.
2 Department of Radiology, The First Affiliated Hospital of Dalian Medical University, LiaoNing, PR China.
Acta Radiol. 2017 Dec;58(12):1485-1492. doi: 10.1177/0284185117694511. Epub 2017 Apr 4.
Background The diagnosis of inconspicuous osteoblastic metastases (OBMs) is a challenge in computed tomography (CT) images. The virtual monochromatic spectral (VMS) image of spectral CT is useful for the detection of the low-contrast lesions. Purpose To select the optimal monochromatic level for VMS images of spectral CT for detecting and diagnosing inconspicuous OBMs of the vertebra from lung cancer. Material and Methods Thirty-five patients underwent spectral CT for chest or abdomen. The CT number and standard deviation (SD) of lesions and adjacent normal bone and the SD value of subcutaneous fat were measured on the conventional polychromatic image (140 kVp) and 40-140 keV VMS images. The contrast-to-noise ratio (CNR) was compared among the 11 VMS images and 140 kVp images. The scores of two observers for different images and the inter-observer agreement were evaluated. The diameter and CNR of the detected and missed lesions were assessed. Results The lowest image noise was distributed in 70 and 140 keV images and the highest CNR was noted in 70 keV images. Good and moderate inter-observer agreement were identified for the evaluation of diagnostic ability, and the subjective scores of two observers for 60 and 70 keV images were increased compared with 140 kVp images ( P < 0.05). The diameter had no significant difference between the detected and missed lesions. The CNR of the missed lesions was reduced compared with detected lesions. Conclusion VMS images at 70 keV may be optimal for detecting and diagnosing inconspicuous OBMs from lung cancer.
隐匿性成骨转移瘤(OBMs)的诊断在计算机断层扫描(CT)图像中是一项挑战。光谱CT的虚拟单色光谱(VMS)图像有助于检测低对比度病变。目的:选择光谱CT的VMS图像的最佳单色水平,用于检测和诊断肺癌引起的隐匿性椎体OBMs。材料与方法:35例患者接受了胸部或腹部的光谱CT检查。在传统的多色图像(140 kVp)和40 - 140 keV的VMS图像上测量病变、相邻正常骨的CT值和标准差(SD)以及皮下脂肪的SD值。比较11幅VMS图像和140 kVp图像的对比噪声比(CNR)。评估两名观察者对不同图像的评分及观察者间的一致性。评估检测到的和漏诊的病变的直径和CNR。结果:最低图像噪声分布在70 keV和140 keV图像中,最高CNR出现在70 keV图像中。在诊断能力评估中观察者间一致性良好和中等,两名观察者对60 keV和70 keV图像的主观评分与140 kVp图像相比有所提高(P < 0.05)。检测到的和漏诊的病变之间直径无显著差异。漏诊病变的CNR与检测到的病变相比降低。结论:70 keV的VMS图像可能是检测和诊断肺癌隐匿性OBMs的最佳选择。