Allogeneic mouse model of peritoneal heart transplant is a microscopic surgery on small animal with complex techniques. For a beginner, a learning curve of this surgical technique has to be experienced. The learning curve contains three stages:(1) to be familiar with the local anatomy of either donor or recipient mouse; (2) to be capable of collecting donor heart and well preparing the major peritoneal vessels of recipient; (3) to be skillful in the anastomosis of major vessels. The bottleneck of the learning curve is the valid skill of vascular anastomosis. The stepwise essentials are to "understand, be familiar, be accurate, and be quick" in the learning curve.
Objective To monitor surgical quality and analyze learning curve of minimally invasive totally thoracoscopic cardiac surgery. Methods We retrospectively analyzed the clinical data of 150 consecutive patients who underwent minimally invasive totally thoracoscopic cardiac surgery in the Guangdong General Hospital between January 2013 and December 2015. There were 60 males and 90 females at age of 43.1 years. There were 60 patients with atrial or ventricular septal defect repair, 12 patients with cardiac tumor resection, 53 patients with mitral valve replacement and 25 patients with mitral valve repair. According to the surgical sequence, all the patients were divided into 3 groups including a group A, group B, and group C with 50 patients in each group (every 10 patients as a sequence, every 5 sequence as a group). Surgical outcomes were compared among the 3 groups, and surgical quality was analyzed with descriptive statistics. Results Surgical failure rate was 6.7% (10/150). There was no in-hospital mortality. Aortic cross-clamp time, cardiopulmonary bypass time and duration of mechanical ventilation, duration of ICU stay, duration of hospital stays of the group C were significantly shorter than those of the group A and group B. Analysis showed a significant learning curve effect in totally thoracoscopic cardiac surgery. When surgical cases reached about 100 cases, cardiopulmonary bypass and aortic cross-clamp time was shorter than the average value stably. Conclusion Totally thoracoscopic cardiac surgery is safe and reliable. For the beginners, it needs about 100 patients of surgery to master the totally thoracoscopic cardiac surgery.
Objective To explore the clinical efficacy and learning curve of robot-assisted thymectomy via subxiphoid approach. MethodsThe clinical data of patients with robot-assisted thymectomy surgery via subxiphoid approach performed by the same surgical team in the Department of Thoracic Surgery of Shanghai Pulmonary Hospital from February 2021 to August 2022 were retrospectively analyzed. The cumulative sum (CUSUM) analysis and best fit curve were used to analyze the learning curve of this surgery. The general information and perioperative indicators of patients at different learning stages were compared to explore the impact of different learning stages on clinical efficacy of patients. ResultsA total of 67 patients were enrolled, including 31 males and 36 females, aged 57.10 (54.60, 59.60) years. The operation time was 117.00 (87.00, 150.00) min. The best fitting equation of CUSUM learning curve was y=0.021 2x3–3.192 5x2 +120.17x–84.444 (x was the number of surgical cases), which had a high R2 value of 0.977 8, and the fitting curve reached the top at the 25th case. Based on this, the learning curve was divided into a learning period and a proficiency period. The operation time and intraoperative blood loss in the proficiency stage were significantly shorter or less than those in the learning stage (P＜0.001), and there was no statistical difference in thoracic drainage time and volume between the two stages (P＞0.05). ConclusionThe learning process of robot-assisted thymectomy via subxiphoid approach is safe, and this technique can be skillfully mastered after 25 cases.
ObjectiveTo monitor surgical quality and analyze learning curve of minimally invasive mitral valve replacement (MVR)through right minithoracotomy with cumulative sum analysis (CUSUM analysis). MethodsClinical data of 60 consecutive patients who underwent minimally invasive MVR through right minithoracotomy in the Fourth Affiliated Hospital of Guangxi Medical University from June 2011 to April 2013 were retrospectively analyzed. There were 32 male and 28 female patients with their age of 28-53 (34.67±7.11)years and their heart function ranging from NYHA class Ⅱ to Ⅳ. There were 31 patients with mitral stenosis (MS), 19 patients with mitral regurgitation (MR), and 10 patients with MS and MR. According to the surgical sequence, all the patients were divided into 3 groups (group A, B and C)with 20 patients in each group. Surgical outcomes were compared among the 3 groups, and surgical quality was analyzed with descriptive statistics and CUSUM curves. ResultsAortic cross-clamp time, cardiopulmonary bypass time and operation time of group C were significantly shorter than those of group A and group B (aortic cross-clamp time of group C vs. group A:50.35±2.30 minutes vs. 66.15±8.38 minutes; operation time of group C vs. group B:167.50±4.63 minutes vs. 178.60±4.49 minutes, P < 0.05). In-hospital mortality was 3.3% (2/60). CUSUM analysis showed a significant learning curve effect, although surgical quality remained in control during the study period. Surgical failure rate was lower than 80% after about 45 operations, indicating that failure rate was 10% lower than expectation. ConclusionMinimally invasive MVR is safe and reliable, and CUSUM analysis is a simple statistical method to monitor surgical quality.
Objective To investigate the learning curve for da Vinci robot-assisted mediastinal tumor resection (DRMTR). Methods A total of 50 consecutive patients received DRMTR between March 2011 and September 2012 in our hospital. Clinical data of the 50 patients were collected and analyzed. There were 23 males, 27 females aged 46.9(17–80) years. The learning curve was evaluated by using the cumulative sum (CUSUM) analysis. Results The mean operation time was 124.6 min. The CUSUM learning curve was best modeled as a third-order polynomial curve with the equation: CUSUM=0.046×case-number3–4.681×case-number2+127.508×case-number–237.940, which had a highR2 value of 0.868. The fitting curve reached the top after the 19th case, which suggested that the surgeons master the technique after they finished 19 cases. As a cut-off point, the 19th case divided the learning curve into two phases, in which there was statistical diffference in operation time (P<0.01), intraoperative blood loss (P<0.01), the postoperative duration of chest tube drainage (P<0.01 ) and the rate of postoperative complications (P<0.05 ). Conclusion The DRMTR identified by CUSUM analysis represents two characteristic stages of DRMTR: the learning stage and the mastery stage. It is suggested from our data that the surgeons need finish about 19 cases to master DRMTR.
ObjectiveTo study the learning curve of minimal invasive coronary artery bypass grafting (MICS CABG) and the influence on the perioperative clinical effects by analyzing operation time.MethodsFrom March 2012 to November 2020, 212 patients underwent MICS CABG by the same surgeon. Among them, 59 patients (52 males and average age of 62.89±8.27 years) with single vessel bypass grafting were as a single-vessel group and 153 patients (138 males, average age of 59.80±9.22 years) with multi-vessel bypass grafting were as a multi-vessel group. Two sets of operation time-operation sequence scatter plots were made and learning curve was analyzed by cumulative summation (CUSUM) and regression method of operation time. The surgical data of each group before and after the inflection point of the learning curve were compared with the main clinical outcome events within 30 days after surgery.ResultsThere was no death, perioperative myocardial infarction and stroke in 212 MICS CABG patients and no transfer to cardiopulmonary bypass or redo thoracotomy. The learning curve conformed to the cubic fitting formula. In the single-vessel group, CUSUM (x operation number)=–1.93+93.45×x–2.33×x2+0.01×x3, P=0.000, R2=0.986, the tipping point was 27 patients. In the multi-vessel group, CUSUM (x)=y=2.87+1.15×x–1.29× x2+3.463×x3, P=0.000, R2=0.993, and the tipping point was 59 patients. The two sets of case data were compared before and after the learning curve and there was no statistical difference in main clinical outcomes within 30 days (mortality, acute myocardial infarction, stroke, perioperative blood transfusion rate), ventilator tube, and intensive care unit retention.ConclusionThe learning curve of MICS CABG conforms to the cubic formula, and the process transitions from single to multiple vessels bypass. To enter the mature stage of the learning phase, a certain number of patients need to be done. Reasonable surgical procedures and quality control measures can ensure the safety during the learning phase.
ObjectiveTo evaluate the learning curve of CT-guided medical glue localization for pulmonary nodule before video-assisted thoracic surgery (VATS). MethodsThe clinical data of the patients with pulmonary nodules who underwent CT-guided medical glue localization before VATS in our hospital from July 2018 to March 2021 were retrospectively analyzed. The patients were divided into 3 groups: a group A (from July 2018 to August 2019), a group B (from September 2019 to June 2020) and a group C (from July 2020 to March 2021). The localization time, morbidity, complete resection rate and other indexes were compared among the three groups. ResultsA total of 77 patients were enrolled, including 24 males and 53 females aged 57.4±10.1 years. There were 25 patients in the group A, 21 patients in the group B, and 31 patients in the group C. 77 pulmonary nodules were localized. There was no significant difference among the groups in the basic data (P＞0.05). The localization time in the group C was 10.6±2.0 min, which was statistically shorter than that in the group A (15.4±4.4 min) and group B (12.9±4.3 min) (P＜0.01). The incidence of complications in the group C was lower than that in the group A and group B (25.8% vs. 52.0% vs. 47.6%, P=0.04). The success rate of localization of the three groups was not statistically different (P=0.12). ConclusionThere is a learning curve in CT-guided medical glue localization for single pulmonary nodule before VATS. After the first 46 cases, the operation time can be shortened, and the incidence of complications can be decreased.
ObjectiveTo analyze the operation outcomes and learning curve of uniportal video-assisted thoracoscopic surgery (VATS).MethodsAll consecutive patients who underwent uniportal VATS between November 2018 and December 2020 in Shangjin Branch of West China Hospital of Sichuan University were retrospectively enrolled, including 62 males and 86 females with a mean age of 50.1±13.4 years. Operations included lobectomy, segmentectomy, wedge resection, mediastinal mass resection and hemopneumothorax. Accordingly, patients' clinical features in different phases were collected and compared to determine the outcome difference and learning curve for uniportal VATS.ResultsMedian postoperative hospital stay was 5 days, and the overall complication rate was 8.1% (12/148). There was no 30-day death after surgery or readmissions. Median postoperative pain score was 3. Over time, the operation time, incision length and blood loss were optimized in the uniportal VATS lobectomy, the incision length and blood loss increased in the uniportal VATS segmentectomy, and the postoperative hospital stay decreased in the uniportal VATS wedge resection.ConclusionUniportal VATS is safe and feasible for both standard and complex pulmonary resections. While, no remarkable learning curve for uniportal VATS lobectomy is observed for experienced surgeon.
ObjectiveTo compare the differences in the learning curve and surgeon's perception for pulmonary lobectomy performed by a single surgeon using the da Vinci surgical robot versus a domestically-made robotic system. Methods A retrospective analysis was conducted on the clinical data of the first 70 consecutive patients who underwent lobectomy with the da Vinci robot and the first 70 with a domestic robot. All procedures were performed by a single thoracic surgeon at Gansu Provincial Hospital who initiated the use of both systems concurrently between 2021 and 2024. Data were analyzed using SPSS 26.0, and learning curves for both groups were plotted and analyzed using the cumulative sum (CUSUM) method. Results The da Vinci group included 41 males and 29 females with a mean age of (66.0±6.83) years and the domestic robot group included 42 males and 28 females;with a mean age of (65.09±6.14) years. For the da Vinci group, the mean operative time was (196.14±29.63) min. The CUSUM learning curve was best fitted by a cubic equation (R2=0.986; CUSUM=0.012X3−1.799X2+69.149X−59.239, where X was the surgical volume), which peaked at the 26th case, delineating the learning and mastery phases. Statistically significant differences were observed between these phases in operation time, setup time, console time, intraoperative blood loss, postoperative day 1 drainage, and number of lymph nodes dissected (all P<0.01). For the domestic robot group, the mean operative time was (187.57±24.62) min. Its CUSUM learning curve also followed a cubic fit (R2=0.910; CUSUM=0.008X3−1.152X2+40.465X+91.940), peaking at the 18th case. Significant improvements between the learning and mastery phases were also found for the same surgical metrics (all P<0.05). The surgeon's perception score was significantly higher for the da Vinci system compared to the domestic system (4.21±0.88 vs. 3.29±1.02, P<0.05). ConclusionCUSUM analysis effectively distinguishes the learning and mastery phases for both systems. The learning curve for da Vinci robotic lobectomy is overcome after 26 cases, whereas the domestic robot required 18 cases. In the mastery phase, operative time, setup time, intraoperative blood loss, and postoperative day 1 drainage are significantly lower, while the number of lymph nodes dissected is significantly higher compared to the learning phase for both systems. There are no significant differences in short-term efficacy or safety between the two groups. However, the da Vinci system provids a superior surgeon experience.
Objective To summarize the experiences in learning laparoscopic cholecystectomy （LC） and discuss young surgeons how to learn LC scientifically. Method The clinical data of 198 patients received LC by myself since I got the qualification of LC were analyzed retrospectively. Results LC was performed successfully in 187 patients with an average operation time of 68 min. Eleven patients were converted to laparotomy. In these 11 patients， 10 patients because of unclear anatomy in Calot triangle and 1 patient because of uncontrollable bleeding due to pathologic anatomy in Calot triangle caused by gallstone. All 198 patients did not suffer from complications such as severe hemorrhage or injury of biliary duct. Liquid therapy and antibiotics therapy were applied in patients with cholecystitis after LC. Food intake and ambulation were recovered at 12-24h after operation. All the patients were discharged from hospital with anaverage of 2.8d after LC. There was no complications related bile duct injury in all of the patients. Conclusion Managed by hierarchical operations management system， mastering regional physiological and variant anatomy， making use of other open cholecystectomy and laparoscopic simulative learning system well， complying with the learning curve， controlling the indications， contraindications and timing of conversion to laparotomy， young surgeons are able to master LC scientifically， safely， and solidly.