1.Preliminary application study of using tele-ultrasound robot system in volunteers
Yanhua LIU ; Yuanji ZHANG ; Mei LI ; Yi XIONG ; Jian LIU ; Li WU ; Linfei XIONG ; Tao YAO ; Jing WANG
Chinese Journal of Ultrasonography 2019;28(1):66-70
Objective To explore the accuracy of ultrasonic diagnosis using the tele-ultrasound robot system . Methods During the period from May to June 2018 ,42 volunteers were consecutive selected to participate in this study ,and their digestive system and urinary system were examined using the robot method manufactured by GI Tech Co . ,Ltd ,Shenzhen and the traditional method . The results including the ultrasound diagnosis and the inspection time of two methods in each patient were compared . The ultrasonographic diagnosis of each volunteer was obtained by two methods and the time was recorded . The ultrasound images of the two methods were mixed together ,and the quality of the images was evaluated double-blindly by two senior doctors . Results There were actually 25 positive lesions in 42 volunteers . In the ultrasonic diagnosis of the two methods ,22 lesions were positive detected by robot method ,with 5 lesions misdiagnosed . In the traditional method , 24 lesions were positive detected , with 1 lesions misdiagnosed . Using the Wilcoxon signed rank test of paired sample comparison ,the score obtained by the robot method was 4 .79 ± 0 .57 ,and the score obtained by the traditional method was 4 .81 ± 0 .54 ( Z =0 .775 ,P= 0 .439) ,the difference was not statistically significant . There was no statistically significant difference in the images'qulity between the robot method and the traditional method using the chi-square test of the four-grid data( P >0 .05) . The check time for volunteers with negative result was ( 8 .64 ± 2 .95) min in robotic method and ( 2 .55 ± 0 .74 ) min in the traditional method ,the difference was statistically significant ( t =15 .161 , P =0 .000) . Conclusions The robot method has high value in common disease diagnosis and high quality in image acquisition ,and can be used in real-time diagnosis of the remote areas or community medical .
2.Preliminary application study of 5G-based robotic remote ultrasound diagnosis system in musculoskeletal joint injuries
Zhaoming ZHONG ; Bingqi ZHANG ; Keyan LI ; Shengzheng WU ; Yanjie LUO ; Yingying CHEN ; Xuan ZHANG ; Yutong MA ; Renqing Can JIAN ; Linfei XIONG ; Shilin HE ; Xiuyun REN ; Faqin LYU
Chinese Journal of Ultrasonography 2022;31(2):151-156
Objective:To explore the value of 5G-based robotic remote ultrasound diagnosis system in musculoskeletal joint injuries.Methods:From March to December 2020, 58 volunteers at a training base who felt musculoskeletal pain or paresthesia were selected and performed both robotic remote ultrasound (remote ultrasound group) and conventional ultrasound (portable ultrasound group). The two types of examinations were compared, the consistency of the two diagnosis results was analyzed by the Kappa test, and the the difference of the diagnosis results was compared by McNemar test.Results:Among the 58 volunteers, 40 cases were positive by both methods and 11 volunteers had 2-3 positive results. There were 59 positive results in the remote ultrasound group and 64 positive results in the portable ultrasound group. The positive rate of the examination sites from high to low was knee joint>foot and ankle joint >hand and wrist joint >shoulder joint>elbow joint, calf and hip. The diagnosis results of the two groups were in good consistency (Kappa=0.782, P<0.001), and there was no statistically significant difference in the diagnosis results between the two groups (χ 2=3.2, P=0.063). Five more diseases with positive results were detected in the portable ultrasound group: 1 meniscus injury, 1 medial collateral ligament injury, 1 soft tissue injury around the metatarsal, 1 biceps tendinitis with effusion and 1 cubital ulnar nerve subluxation. Conclusions:The 5G-based robotic remote ultrasound system has good consistency with conventional ultrasound in the diagnosis of musculoskeletal injures. It can be applied to the ultrasound diagnosis of musculoskeletal joint injuries in remote areas.