Study on Dual Protection Value of the AI Based uVision Technology Combined with Low mAs
in Patients with Chest CT Screening for COVID-19
TAN Jia1
, LI Zhenlin1
, YUAN Yuan1
, XIA Chunchao1
, TIAN Chuan1
, DENG Liping1
, CAO Libo1
, ZENG Peng1
,
SHAO Qiang2a, SHANG Leimin2b
1. Department of Radiology, West China Hospital, Sichuan University, Chengdu Sichuan 610041, China
2. a. Department of Applied Training; b. Department of Product Management, Shanghai Lianying Medical Technology Co., Ltd.,
Shanghai 201815, China
Abstract：Objective To investigate the dual protection value of the artificial intelligence (AI) based uVision technology combined
with 40 mAs in chest CT screening of patients for coronavirus disease 2019 (COVID-19). Methods A total of 155 cases were
included prospectively in our hospital for chest CT screening from February 25, 2020 to March 6, 2020, and were randomly divided
them into A group and B group. The 73 cases in A Group were performed by using Easy-Positioning empowered by uAI, auto
plan box and 40 mAs low-dose scanning. The 82 cases in B Group were performed with conventional manual positioning, manual
drawing of the plan box, and 68mAs low-dose scanning. All cases were adopted automatic tube current modulation technology
(ATCM). The SNR and CNR of the images in two groups were calculated. Two experienced radiologists for chest used a 5-point,
double blind manner to evaluate the image quality. The Volume dose index, dose length product and effective dose of the two groups
were recorded. Also, the scan time of every patient and the contact times between the patient and the radiologic technologist on duty
were recorded. The psychological difference between the two groups which performed chest CT scan under the epidemic situation
was compared. The software of SPSS 26.0 was used to conduct statistical analysis. Results There were statistically significant
differences in SNR and CNR between the two groups. SNR and CNR of A group were both lower than those of B group (P<0.05).
There was no statistically significant difference in the subjective scores between the two groups (P=0.132>0.05), which could satisfy
the clinical diagnosis. The difference of radiation dose between the two groups was statistically significant (P<0.05), with A group
(1.08±0.16) mSv and B group (1.87±0.23) mSv. The scan time in A group was 23 seconds less than B group. The contact times
between the patients and the radiologic technologist on duty in A group were smaller than those in B group, and the difference was
statistically significant (P<0.05). The differences in mental scores of nosocomial infection and radiation between the two groups were statistically significant (P<0.05). Conclusion The application of the AI based uVision technology combined with 40 mAs in the
chest CT screening of COVID-19 not only can reduce the contact between patient and the radiologic technologist, which can reduce
the risk of nosocomial infection of patients, but also can reduce the radiation dose received by patients furtherly. While satisfying the
clinical diagnosis, the AI based uVision technology has the dual protection value.
谭佳1
，李真林1
，袁元1
，夏春潮1
，田川1
，邓莉萍1
，曹立波1
，曾鹏1
，邵强2a，尚雷敏2b. 天眼AI平台结合低mAs在COVID-19胸部CT筛查中对患者的双重保护价值研究[J]. 中国医疗设备, 2020, 35(6): 44-48.
TAN Jia1
, LI Zhenlin1
, YUAN Yuan1
, XIA Chunchao1
, TIAN Chuan1
, DENG Liping1
, CAO Libo1
, ZENG Peng1
,
SHAO Qiang2a, SHANG Leimin2b. Study on Dual Protection Value of the AI Based uVision Technology Combined with Low mAs
in Patients with Chest CT Screening for COVID-19. China Medical Devices, 2020, 35(6): 44-48.
