Song Inyoung, Yi Jeong Geun, Park Jeong Hee, Lee Kyung Soo, Chung Myung Jin
Department of Radiology, Konkuk University School of Medicine, Seoul, 143-729, South Korea.
Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea.
BMC Med Imaging. 2016 Aug 22;16(1):48. doi: 10.1186/s12880-016-0155-7.
To compare the capability of lung nodule detection and characterization between dual-energy radiography with color-representation (DCR) and conventional gray scale chest radiography (GSR).
A total of 130 paired chest radiographs (DCR and GSR) obtained from 65 patients (14 with normal scans and 51 with pulmonary nodules) were evaluated. After analysis, 45 non-calcified and 21 calcified nodules were identified. DCR was obtained by adding color space within material-decomposed data (blue for high attenuation and red for low attenuation) and by compounding the manipulated data to one color image. Three radiologists marked suggested nodules on radiographic images and assessed the level of confidence of lesion presence and probability of nodule calcification by using a nine-point rating scale. The jackknife active free-response receiver operating characteristics (JAFROC) analysis was used to evaluate lesion detectability, and multi-reader multi-case receiver operating characteristics (MRMC ROC) analysis was used for the evaluation of the accuracy of nodule calcification prediction.
Figures of merit (FOM) from JAFROC was 0.807 for DCR and 0.811 for GSR, respectively; nodule detectability was not significantly different between DCR and GSR (p = 0.93). Areas under curve (AUC) from MRMC ROC were 0.944 for DCR and 0.828 for GSR, respectively; performance of DCR in predicting lung nodule calcification was significantly higher than that of GSR (p = 0.04).
DCR showed similar performance in terms of lung nodule detection compared with GSR. However, DCR does provide a significant benefit in predicting the presence of nodule calcification.
比较彩色呈现双能X线摄影(DCR)与传统灰度胸部X线摄影(GSR)在肺结节检测及特征描述方面的能力。
对65例患者(14例扫描正常,51例有肺结节)获得的130对胸部X线片(DCR和GSR)进行评估。分析后,识别出45个非钙化结节和21个钙化结节。DCR是通过在物质分解数据中添加颜色空间(高衰减为蓝色,低衰减为红色)并将处理后的数据合成一幅彩色图像获得的。三名放射科医生在X线影像上标记出可疑结节,并使用九点评分量表评估病变存在的置信度和结节钙化的概率。采用留一法主动自由响应接收器操作特性(JAFROC)分析来评估病变的可检测性,采用多读者多病例接收器操作特性(MRMC ROC)分析来评估结节钙化预测的准确性。
JAFROC的优值(FOM),DCR为0.807,GSR为0.811;DCR和GSR之间的结节可检测性无显著差异(p = 0.93)。MRMC ROC的曲线下面积(AUC),DCR为0.944,GSR为0.828;DCR在预测肺结节钙化方面的表现显著高于GSR(p = 0.04)。
与GSR相比,DCR在肺结节检测方面表现出相似的性能。然而,DCR在预测结节钙化的存在方面确实具有显著优势。