Son Jung Hee, Kim Seung Ho, Yoon Jung-Hee, Lee Yedaun, Lim Yun-Jung, Kim Seon-Jeong
From the *Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Haeundae-gu, Busan; and †Department of Radiology, Myongji Hospital, Deogyang-gu, Goyang-si, Gyeonggi-do, South Korea.
J Comput Assist Tomogr. 2017 Jul/Aug;41(4):644-650. doi: 10.1097/RCT.0000000000000577.
The aim of the study was to compare the diagnostic performance of model-based iterative reconstruction (MBIR), adaptive statistical iterative reconstruction (ASIR), and filtered back projection (FBP) on submillisievert low-dose computed tomography (LDCT) for detecting hepatic metastases.
Thirty-eight patients having hepatic metastases underwent abdomen CT. Computed tomography protocol consisted of routine standard-dose portal venous phase scan (120 kVp) and 90-second delayed low-dose scan (80 kVp). The LDCT images were reconstructed with FBP, ASIR, and MBIR, respectively. Two readers recorded the number of hepatic metastases on each image set.
A total of 105 metastatic lesions were analyzed. For reader 1, sensitivity for detecting metastases was stationary between FBP (49%) and ASIR (52%, P = 0.0697); however, sensitivity increased in MBIR (66%, P = 0.0035). For reader 2, it was stationary for all the following sets: FBP (65%), ASIR (68%), and MBIR (67%, P > 0.05).
The MBIR and ASIR showed a limited sensitivity for detecting hepatic metastases in submillisievert LDCT.
本研究旨在比较基于模型的迭代重建（MBIR）、自适应统计迭代重建（ASIR）和滤波反投影（FBP）在亚毫西弗低剂量计算机断层扫描（LDCT）上检测肝转移瘤的诊断性能。
38例有肝转移瘤的患者接受腹部CT检查。计算机断层扫描方案包括常规标准剂量门静脉期扫描（120 kVp）和90秒延迟低剂量扫描（80 kVp）。LDCT图像分别用FBP、ASIR和MBIR重建。两名阅片者记录每个图像集上肝转移瘤的数量。
共分析了105个转移病灶。对于阅片者1，检测转移瘤的敏感度在FBP（49%）和ASIR（52%，P = 0.0697）之间保持稳定；然而，MBIR的敏感度有所提高（66%，P = 0.0035）。对于阅片者2，以下所有组的敏感度均保持稳定：FBP（65%）、ASIR（68%）和MBIR（67%，P > 0.05）。
在亚毫西弗LDCT中，MBIR和ASIR检测肝转移瘤的敏感度有限。
