The application of adaptive statistical iterative reconstruction Veo in detection of pulmonary nodule by ultralow dose chest CT
10.3969/j.issn.1002-1671.2019.11.031
- VernacularTitle:自适应统计迭代重建技术在胸部超低剂量CT肺小结节检出中的应用研究
- Author:
Kai YE
1
;
Qiao ZHU
;
Meijiao LI
;
Yuliu LU
;
Huishu YUAN
Author Information
1. 北京大学第三医院放射科
- Keywords:
computed tomography;
radiation dose;
iterative reconstruction;
image quality;
pulmonary nodule
- From:
Journal of Practical Radiology
2019;35(11):1840-1844,1851
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the best percentage of adaptive statistical iterative reconstruction Veo (ASiR-V)in detection of pulmonary nodule by chest ultralow dose CT (ULDCT).Methods 81 patients with pulmonary nodule detected by chest low dose CT (LDCT)underwent a local ULDCT scan at the center of the nodule with a range of 3 cm scan length.LDCT was performed with the mode of the Assist kV (120/100 kV)/Smart mA with noise indices of 14.1 HU and reconstructed with ASiR-V 50% algorithm.ULDCT was acquired at a tube potential of 120 kV and tube current-time product of 2.8 mAs and reconstructed with ASiR-V 50%,70% and 90%algorithms.Subjective and obj ective image qualities,sensitivities of detection and diameter of nodule among all ULDCT images were compared.Results Compared with the radiation dose of LDCT [(0.9 9±0.3 6)mSv],a 90.2% decrease was seen with the ULDCT, for which the calculated mean effective radiation dose was (0.097±0.007)mSv.The noise values of fat and paravertebral muscle for ULDCT reconstructed with ASiR-V 90% were 12.33±1.86 and 14.82±2.6,which were significantly lower than those in the group of ASiR-V 50% (1 9.73±1.98, 21.19±2.46)and the group of ASiR-V 70% (15.79±1.82,17.71±2.50)(P＜0.05).The subjective scores of images reconstructed with ASiR-V 70% (4.13±0.47)were the highest,which were slightly higher than those in 90%groups (4.03±0.38)(P＜0.05).No significant differences for overall sensitivity of nodule detection were observed among the ULDCT reconstructed with ASiR-V 50%(86.42%),ASiR-V 70%(87.04%)and ASiR-V 90% (88.89%)(P＞0.05).The mean nodule diameter measurements were (6.4±2.0)mm,(5.9±2.2)mm,(6.0±2.2)mm and (6.1 ±2.2)mm for LDCT and ULDCT (ASiR-V 50%,70% and 90%),respectively with P＞0.05.Conclusion At extremely low exposure levels,ASiR-V can obviously improve the image qualities of ULDCT,and 90% is the best percentage for lung algorithm reconstruction with a high sensitivity of pulmonary nodule detection.
