Korsoff L, Kallio T, Kormano M, Heinilä J
Department of Diagnostic Radiology, University Hospital, Turku, Finland.
Acta Radiol. 1995 Jan;36(1):37-40.
Chest radiographs of 43 patients were digitized and sent from Paimio Hospital to Turku University Central Hospital. Fifteen of the patients had a pneumothorax, 12 had interstitial lung disease and 16 were controls. The images were interpreted by 5 radiologists during their duty shift. The first reading session consisted of images with 1,024 x 1,024 pixel resolution and the second of images with 2,048 x 2,048 matrix followed by the original chest radiographs. ROC studies were performed from the answers based on a 5-point confidence scale. In the pneumothorax group the average area under the individual ROC curve was 0.928 with the 1,024 x 1,024 matrix and 0.983 with the 2,048 x 2,048 matrix. In the fibrosis group the average area under the individual ROC curve was 0.877 with the 1,024 x 1,024 matrix and 0.831 with the 2,048 x 2,048 matrix. The results suggest that the 1,024 x 1,024 matrix is adequate in the detection of pneumothoraces and fibrosis.
43名患者的胸部X光片被数字化，并从派米奥医院发送至图尔库大学中心医院。其中15名患者患有气胸，12名患有间质性肺病，16名作为对照。这些图像由5名放射科医生在值班期间进行解读。第一次读片环节使用的图像分辨率为1024×1024像素，第二次使用的图像矩阵为2048×2048，随后是原始胸部X光片。基于5级置信度量表，根据回答进行ROC研究。在气胸组中，个体ROC曲线下的平均面积在1024×1024矩阵时为0.928，在2048×2048矩阵时为0.983。在纤维化组中，个体ROC曲线下的平均面积在1024×1024矩阵时为0.877，在2048×2048矩阵时为0.831。结果表明，1024×1024矩阵在检测气胸和纤维化方面足够。
