Tada Keiji, Uchida Koji, Kanayama Hidekazu, Kajitani Takafumi, Yamamoto Yasushi, Sanada Shigeru
Department of Radiology, Shimane University Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2015 Nov;71(11):1090-5. doi: 10.6009/jjrt.2015_JSRT_71.11.1090.
We evaluated clinical images to investigate the usefulness of adaptive iterative dose reduction algorithm (AIDR) in the field of acute cerebral infarction. We did receiver operating characteristic (ROC) analysis by 4 radiologists using 50 clinical images (abnormal case=24, normal case=26) which were reconstructed by AIDR and filtered back projection (FBP). The area under the curve (AUC) value from average ROC curve of observers were 0.79 with the FBP and 0.87 with the AIDR (P=0.31). The standard deviation of AUC was 0.06 with the FBP and 0.03 with the AIDR. More in detail, the AUC value of Expert group (over 10 years of experience) increased to 0.06 by using AIDR compared with FBP method. On the other hand, in Beginner group (less than 10 years of experience) there was 0.09 increase. Therefore, there was some possibility to reduce the variation of diagnostic accuracy among observer and the diagnostic accuracy improvement of the doctor in a few Experience group, by using AIDR for acute cerebral infarction computed tomography (CT) examination.
我们评估了临床影像,以研究自适应迭代剂量减少算法(AIDR)在急性脑梗死领域的实用性。我们让4位放射科医生使用50幅临床影像(异常病例=24,正常病例=26)进行接受者操作特征(ROC)分析,这些影像分别通过AIDR和滤波反投影(FBP)重建。观察者平均ROC曲线的曲线下面积(AUC)值,FBP为0.79,AIDR为0.87(P=0.31)。AUC的标准差,FBP为0.06,AIDR为0.03。更详细地说,与FBP方法相比,专家组(经验超过10年)使用AIDR时AUC值提高了0.06。另一方面,初学者组(经验少于10年)提高了0.09。因此,通过在急性脑梗死计算机断层扫描(CT)检查中使用AIDR,有可能减少观察者之间诊断准确性的差异,并提高一些经验组医生的诊断准确性。