Nowadays, the development of the medical instrument industry makes rapid changes in clinical practice. Hybridization of latest technology is playing an increasingly important role in the diagnosis and treatment of disease. Especially, the trend of the integration of three-channel hybrid technology in diagnosis and treatment of early lung cancer has become increasingly obvious. This paper will focus on the technical advance of the three-channel multi- mirror robot and its application in the diagnosis and treatment of early lung cancer.
In order to accurately implant the brain electrodes of carp robot for positioning and navigation, the three-dimensional model of brain structure and brain electrodes is to be proposed in the study. In this study, the tungsten electrodes were implanted into the cerebellum of a carp with the aid of brain stereotaxic instrument. The brain motor areas were found and their three-dimensional coordinate values were obtained by the aquatic electricity stimulation experiments and the underwater control experiments. The carp brain and the brain electrodes were imaged by 3.0 T magnetic resonance imaging instrument, and the three-dimensional reconstruction of carp brain and brain electrodes was carried out by the 3D-DOCTOR software and the Mimics software. The results showed that the brain motor areas and their coordinate values were accurate. The relative spatial position relationships between brain electrodes and brain tissue, brain tissue and skull surface could be observed by the three-dimensional reconstruction map of brain tissue and brain electrodes which reconstructed the three-dimensional structure of brain. The anatomical position of the three-dimensional reconstructed brain tissue in magnetic resonance image and the relationship between brain tissue and skull surface could be observed through the three-dimensional reconstruction comprehensive display map of brain tissue. The three-dimensional reconstruction model in this study can provide a navigation tool for brain electrodes implantation.
ObjectiveTo summarize the data of robotic hysterectomy in patients with large and super-large uterus in single center, and explore the relevant clinical experience and advantages of robotic surgery.MethodsThe medical records of the patients with large uterus caused by gynecological diseases who underwent robotic hysterectomy in the Chinese PLA General Hospital from January 2016 to December 2018 were retrospectively analyzed. The patients with uterine size from 12 to 16 weeks of gestation were divided into large uterus group and those with uterine volume larger than 16 weeks of gestation were divided into super large uterus group.ResultsA total of 62 patients were included, including 28 in the large uterus group with the average uterus size of (14.3±2.1) gestational weeks, and 34 in the super large uterus group with the average uterus size of (19.9±2.8) gestational weeks. There was no significant difference in mean age, body mass index, history of abdominal surgery or diagnostic composition between the two groups (P>0.05), except for the size of the uterus (t=8.772, P<0.001). The operation time in the large uterus group was less than that in the super-large uterus group [(75.4±22.6) vs. (91.7±27.8) min; t=2.495, P=0.015]. The incidence of complications after robotic hysterectomy was 14.5% (9/62) in the 62 patients, including 14.3% (4/28) in the large uterus group and 14.7% (5/34) in the super-large uterus group. There was no significant difference in the amount of bleeding, blood transfusion rate, ratio of conversion to open surgery, average hospitalization days or incidence of postoperative complications between the two groups (P>0.05).ConclusionsRobotic hysterectomy has the advantages of flexible manipulator, 3-D operative field of vision and stability of manipulation. In addition, increased uterine volume does not lead to increased surgical trauma, nor apparently affect the prognosis.
Objective To investigate short-term effectiveness and clinical application advantages of orthopedic robot-assisted resection for osteoid osteoma compared with traditional open surgery. Methods A retrospective analysis was conducted on clinical data of 48 osteoid osteoma patients who met the selection criteria between July 2022 and April 2023. Among them, 23 patients underwent orthopedic robot-assisted resection (robot-assisted surgery group), and 25 patients received traditional open surgery (traditional surgery group). There was no significant difference (P>0.05) in gender, age, disease duration, lesion location and size, and preoperative visual analogue scale (VAS) score, and musculoskeletal tumor society (MSTS) score between the two groups. The surgical time, intraoperative blood loss, intraoperative lesion localization time, initial localization success rate, infection, and recurrence were recorded and compared. VAS scores before surgery and at 24 hours, 1, 3, 6, and 9 months after surgery and MSTS score before surgery and at 3 months after surgery were assessed. Results All patients completed the surgery successfully, with no significant difference in surgical time between the two groups (P>0.05). Compared to the traditional surgery group, the robot-assisted surgery group had less intraoperative blood loss, shorter lesion localization time, and shorter hospitalization time, with significant differences (P<0.05). The initial localization success rate was higher in the robot-assisted surgery group than in the traditional surgery group, but the difference between the two groups was not significant (P>0.05). All patients in both groups were followed up, with the follow-up time of 3-12 months in the robot-assisted surgery group (median, 6 months) and 3-14 months in the traditional surgery group (median, 6 months). The postoperative MSTS scores of both groups improved significantly when compared to those before surgery (P<0.05), but there was no significant difference in the changes in MSTS scores between the two groups (P>0.05). The postoperative VAS scores of both groups showed a gradually decreasing trend over time (P<0.05), but there was no significant difference between the two groups after surgery (P>0.05). During follow-up, except for 1 case of postoperative infection in the traditional surgery group, there was no infections or recurrences in other cases. There was no significant difference in the incidence of postoperative infection between the two groups (P>0.05). Conclusion Orthopedic robot-assisted osteoid osteoma resection achieves similar short-term effectiveness when compared to traditional open surgery, with shorter lesion localization time.
ObjectiveTo investigate the effects of robotic versus thoracoscopic lobectomy on body trauma and lymphocyte subsets in patients with non-small cell lung cancer (NSCLC).MethodsThe clinical data of 120 patients with NSCLC who underwent lobectomy in the same operation group at the same period were collected and divided into a robot group (n=60) and a thoracoscope group (n=60) according to different surgical methods. The operation time, intraoperative blood loss, postoperative drainage time, drainage volume, postoperative hospital stay, complication rate, pain visual analogue scale (VAS) and other perioperative indicators were recorded in the two groups. Inflammatory markers: C-reactive protein (CRP), interleukin-6 (IL-6) and lymphocyte subsets (CD3+, CD4+, CD8+, CD4+/CD8+) levels were measured before and 1 d, 3 d after surgery. The effects of the two surgical methods on the body trauma and lymphocyte subsets were compared.ResultsThe operation time, intraoperative blood loss, postoperative drainage time, drainage volume and VAS of the robot group were lower than those of the thoracoscope group, and the differences were statistically significant (P<0.05). On the 1st day after surgery, IL-6 of the thoracoscope group was higher than that of the robot group, while CD3+, CD4+ and CD8+ were lower than those of the robot group, with statistically significant differences (P<0.05).ConclusionCompared with thoracoscopic lobectomy, robotic lobectomy has less trauma, less inflammatory response, faster recovery, less inhibitory effect on lymphocyte subsets, and has clinical advantages.
ObjectiveTo investigate the feasibility and safety of single utility port Da Vinci robot-assisted lung resection via anterior approach.MethodsThe clinical data of 21 patients who underwent single utility port Da Vinci robot-assisted lung resection from February to March 2021 were retrospectively analyzed. There were 10 males and 11 females, with a median age of 50 (34-66) years. The operation time, blood loss, postoperative hospitalization time, postoperative complications and other indicators were analyzed.ResultsAll patients completed the operation successfully with no transition to thoracotomy or perioperative death. Overall surgery time was 103 (70-200) min, Docking time was 5 (3-10) min, operation time was 81 (65-190) min. The blood loss was 45 (20-300) mL. All patients had malignant tumors, the number of dissected lymph node station was 3 (1-6), and the number of lymph nodes was 5 (2-16). The postoperative indwelling time was 3 (2-5) d. The postoperative hospitalization time was 5 (3-7) d. The pain score for the first 3 days after surgery was 3±1 points.ConclusionSingle utility port robot-assisted lung resection via anterior approach is safe, less traumatic, more convenient and effective, which can be gradually promoted and applied to clinical trials.
Robotic gastric cancer surgery had developed rapidly in recent years, and its clinical application had come a long way. More and more studies had demonstrated that the robotic gastric cancer surgery was a safe and feasible procedure, and showed the technical advantages in the lymph node dissection, bleeding control, precise surgery, and postoperative recovery over laparoscopic surgery. However, some limitations such as the high surgical costs, lack of high-quality evidence, insufficient intelligence limited the development of robotic gastric cancer surgery. In the future, with more high-quality evidence-based medicine research and the development of intelligent surgical robots, the robotic gastric cancer surgery will be further standardized and promoted. We believe that robotic gastric cancer surgery will become the mainstream of minimally invasive surgery for the treatment of gastric cancer.
Objective To investigate the effect of lower limb rehabilitation robot combined with virtual reality training on walking ability after anterior cruciate ligament reconstruction (ACLR). Methods Patients after ACLR treated in the Rehabilitation Medical Center of the Second Hospital of Jiaxing between May 2019 and July 2021 were selected. The patients were randomly divided into two groups. The patients with conventional ACLR rehabilitation training + lower limb rehabilitation robot combined with virtual reality training were used as the treatment group, and only the patients with conventional ACLR rehabilitation training were used as the control group. The rehabilitation training lasted for 8 weeks. After 4 and 8 weeks of treatment, the two groups were evaluated by Lysholm knee score scale (LKSS), Holden walking score and Gait watch gait analysis. Results A total of 40 patients were included, with 20 patients in each group. There was no significant difference between the two groups in LKSS score, Holden walking score and Gait watch gait analysis dynamic data at 4 weeks of treatment (P>0.05). After 8 weeks of treatment, the LKSS score [(77.74±5.53) vs. (69.53±5.26) points], Holden walking score [(4.79±0.34) vs. (4.45±0.39) points] and Gait watch gait analysis dynamic data [step size: (78.35±2.43) vs. (73.64±3.35) cm, step frequency: (115.10±4.49) vs. (107.71±5.14) step/min, step speed: (108.63±8.55) vs. (96.78±8.47) cm/s] of the treatment group were better than those of the control group (P<0.05), The above indexes of the two groups were improved compared with those at 4 weeks of treatment (P<0.05). Conclusion Lower limb rehabilitation robot combined with virtual reality training can effectively improve walking ability after ACLR.
ObjectiveTo investigate the effectiveness and safety of robotic lobectomy in clinical N0 lung malignant tumor≥3 cm. MethodsWe retrospectively analyzed the clinical data of 182 patients with lung malignant tumor≥3 cm receiving robotic or thoracoscopic lobectomy at Shanghai Chest Hospital in 2019. The patients were divided into a robotic surgery group (RATS group) and a thoracoscopic surgery group (VATS group). There were 39 males and 38 females with an average age of 60.55±8.59 years in the RATS group, and 51 males and 54 females with an average age of 61.58±9.30 years in the VATS group. A propensity score matching analysis was applied to compare the operative data between the two groups. ResultsA total of 57 patients were included in each group after the propensity score matching analysis. Patients in the RATS group had more groups of N1 lymph node dissected (2.53±0.83 groups vs. 2.07±0.88 groups, P=0.005) in comparison with the VATS group. No statistical difference was found in operation time, blood loss, postoperative hospital stay, number of N1 and N2 lymph nodes dissected, groups of N2 lymph node dissected, lymph node upstage rate or postoperative complications. The hospitalization cost of RATS was higher than that of VATS (P＜0.001). ConclusionIn contrast with thoracoscopic lobectomy, robotic lobectomy has similar operative safety, and a thorough N1 lymphadenectomy in patients with clinical N0 lung malignant tumor≥3 cm.
Power supply plays a key role in ensuring animal robots to obtain effective stimulation. To extending the stimulating time, there is a need to apply photovoltaic cells and monitor their parameter variations, which can help operators to obtain the optimal stimulation strategy. In this paper, an online monitoring system of photovoltaic cells for animal robot stimulators was presented. It was composed of battery information sampling circuit, multi-channel neural signal generator, power module and human-computer interaction interface. When the signal generator was working, remote navigation control of animal robot could be achieved, and the battery voltage, current, temperature and electricity information was collected through the battery information sampling circuit and displayed on the human-computer interaction system in real time. If there was any abnormal status, alarm would be activated. The battery parameters were obtained by charging and discharging test. The battery life under different light intensity and the stimulation effect of neural signal generator were tested. Results showed that the sampling errors of battery voltage, current and electric quantity were less than 15 mV, 5 mA and 6 mAh, respectively. Compared with the system without photovoltaic cells, the battery life was extended by 148% at the light intensity of 78 320 lx, solving the battery life problem to some extent. When animal robot was stimulated with this system, left and right turns could be controlled to complete with the success rate more than 80%. It will help researchers to optimize animal robot control strategies through the parameters obtained in this system.