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 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 analyze the learning curve of Da Vinci robotic segmentectomy. MethodsCumulative sum analysis (CUSUM) was used to analyze the learning curve of Da Vinci robotic segmentectomy performed by the General Hospital of Northern Theater Command from February 2018 to December 2020. The learning curve was obtained by fitting, and R2 was used to judge the goodness of fitting. The clinical data of patients in different stages of learning curve were compared and analyzed. Results The first 50 patients who received Da Vinci robotic segmentectomy were included, including 24 males and 26 females, with an average age of 61.9±10.6 years. The operation time decreased gradually with the accumulation of operation patients. The goodness of fitting coefficient reached the maximum value when R2=0.907 (P<0.001), CUSUM (n) =0.009×n3−0.953×n2+24.968×n−7.033 (n was the number of patients). The fitting curve achieved vertex crossing when the number of patients reached 17. Based on this, 50 patients were divided into two stages: a learning and improving stage and a mastering stage. There were statistical differences in the operation time, intraoperative blood loss, postoperative drainage volume, number of lymph node dissection, postoperative catheter time, postoperative hospital stay, and postoperative complications between the two stages (P<0.05). ConclusionIt shows that the technical competency for assuring feasible perioperative outcomes can be achieved when the cumulative number of surgical patients reaches 17.
ObjectiveTo summarize the surgical learning curve and evaluate the effectiveness, safety and feasibility of the robotic-assisted thoracoscopic surgery (RATS) by comparing with the conventional vedio-assisted thoracoscopic surgery (VATS).MethodsThe clinical data of 40 patients receiving robotic assisted thoracoscopic anatomic lung resection from March to June 2016 in our department were reviewed. There were 29 males and 11 females with the age of 54-78 (60.2±12.7) years in the RATS group, and 27 males and 10 females with the age of 52-76 (58.7±11.5) years in the VATS group. Lung space-occupying lesions were comfirmed by preoperative diagnosis. The operative time, blood loss, chest tube retention time, postoperative hospital stay and perioperative morbidity and mortality were analyzed. The safety and feasibility were evaluated, and the learning curve was summed up.ResultsOperative time, postoperative ventilation time, intraoperative blood loss, chest tube retention time, postoperative pain, average hospital stay, postoperative complication rate between two groups were not statistically significant. In the RATS group preoperative preparation time was longer than that of the VATS group (24.5 min vs. 15.6 min, P=0.003), and the rate of conversion to thoracotomy of the RATS group was lower than that of the VATS group (0 vs. 10.8%). There was no perioperative death in two groups.ConclusionRobotic-assisted thoracic surgery is safe and effective in the early learning process, and the learning curve can be entered into the standard stage from the learning stage after initial 10 operations.
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.
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 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.
Objective To investigate the learning curve of laparoscopic assisted rectal cancer radical resection of a surgeon and share the experience of laparoscopic surgery. Methods The date of 119 consecutive patients who were suffered operation by same team during January 2010 to December 2015 were retrospectively analyzed. The learning curve and its stages were obtained by using weighted moving average method, cumulative sum analysis(CUSUM), risk-adjusted CUSUM (RA-CUSUM)and Matlab software. The effects of each stage, such as operative time, intraoperative bold loss, harvested lymph node numbers, distal margin to the edge of tumor, complications after operation, hospital stay days, and the first time take soft food were compared, and the experience of laparoscopic assisted surgery for rectal cancer was summarized. Results Our learning curve was divided into three periods, the cutting point was around 36th and 80th cases, respectively. There was no significant difference between the 3 stages in general data, however when comparing the operative time, loss of blood, harvested lymph node numbers, the distal margin to the edge of tumor, hospital stay and total complications, the last period were best and the first stage were worst. Conclusions The learning curve can be divided into three stages, the exploration, mastery and proficient period. Our term, fixed and with rich experience in laparotomy, completed our first exploration period at about 36th patients and the second stage is around 80th cases. And the short term effect of each period’s had gradually improved with master of laparoscopic technique.
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 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.