scholarly journals Comparable surgery time for robotic assisted total knee arthroplasty after initial learning curve

2020 ◽  
Vol 8 (5_suppl4) ◽  
pp. 2325967120S0031
Author(s):  
Peter Savov ◽  
Lars-René Tücking ◽  
Henning Windhagen ◽  
Max Ettinger
Keyword(s):  
Learning Curve ◽  
Robotic System ◽  
Robotic Group ◽  
Absolute Deviation ◽  
Robotic Assisted ◽  
Time Of Surgery ◽  
Implant Positioning ◽  
Initial Learning ◽  
Manual Group ◽  
The Mean

Aims and Objectives: In the past years, further development in knee replacement still continues. Computer-assisted surgery techniques in total knee arthroplasty (TKA) are on the rise. One point of criticism is the prolonged time of surgery and associated cost as known from old techniques like navigation. The primary objective of this study was to determine the learning curve for the time of surgery and accuracy in implant positioning for an imageless robotic system for TKA. Materials and Methods: In this prospective study, the first 30 robotic-assisted TKA from a single senior surgeon were analyzed with regard to time of surgery and accuracy of implant position on the basis of the intraoperative plan and the postoperative x-rays. This data was compared to the last 30 manual TKAs of the same surgeon with the same prosthesis. Evaluation of the learning curve was performed with CUSUM analysis. The time of surgery after finishing the learning curve in the robotic group was compared to the manual group. Results: The learning curve in the robotic group for surgery time was finished after 11 cases. The robotic experience did not affect the accuracy of implant positioning, such as limb alignment and restoration of the joint line. The mean absolute deviation of the postoperative limb alignment to the intraoperative plan was 2° (+/- 1,1). The mean absolute deviation of the medial proximal tibial (mPTA) and distal lateral femoral angle (dLFA) was 1° (+/- 0,9) for both. The mean surgery time in the robotic group after finishing the learning curve was 66 minutes (+/- 4,2) and in the total manual group 67 minutes (+/- 3,5) (n.s.). Conclusion: After finishing the initial learning curve of 11 cases for robotic-assisted TKA the time of surgery is equal to the manual conventional technique. However, there is no learning curve for implant positioning with the imageless robotic system. The implementation of the intraoperative plan is accurate to 1° with the robotic system.

scholarly journals Imageless robotic handpiece-assisted total knee arthroplasty: a learning curve analysis of surgical time and alignment accuracy

2021 ◽  
Author(s):  
Peter Savov ◽  
Lars-Rene Tuecking ◽  
Henning Windhagen ◽  
Jonathan Ehmig ◽  
Max Ettinger
Keyword(s):  
Total Knee Arthroplasty ◽  
Learning Curve ◽  
Knee Arthroplasty ◽  
Primary Objective ◽  
Robotic System ◽  
Joint Line ◽  
Robotic Assisted ◽  
Time Of Surgery ◽  
Total Knee ◽  
Implant Alignment

Abstract Introduction Robotic-assisted surgery techniques are increasing in total knee arthroplasty (TKA). One crucial point is the prolonged time of surgery. The primary objective of this study was to determine the learning curve necessary to minimize the time of surgery. The secondary objective was to evaluate the accuracy of the implant alignment when using an imageless robotic system for TKA. Materials and methods In a case–control study, the first 70 consecutive robotic-assisted TKA procedures performed by a single senior surgeon were analyzed with regard to surgery time and implant alignment by comparing the intraoperative plan with the postoperative alignment. The evaluation of the learning curve with respect to surgery time was conducted using cumulative summation (CUSUM) analysis. The joint line height was measured with a new technique. Surgery time and joint line reconstruction were compared to 70 consecutive conventional TKA procedures. Results The learning curve for robotic TKA was completed after 11 cases. The learning curve did not influence the accuracy of joint line obliquity, joint line height, or limb alignment. The intraoperative plan designed for the robotic system was precisely implemented. The mean skin-to-skin time in the robotic group after the learning curve was completed did not differ from that in the manual group. A significant positive correlation was observed between the preoperative hip–knee–ankle angle and the postoperative distalization of the joint line in the robotic-assisted TKA group. Conclusion After completing the initial learning curve of 11 cases, the surgery time required to perform imageless robotic handpiece-assisted TKA was similar to that for the conventional technique. However, no learning curve was observed for the implant positioning when using the imageless robotic system. The implementation of the intraoperative plan was accurate up to < 2°. The precision of the system allows the implementation of different joint balancing approaches between valgus and varus morphotypes.

Robotic-Assisted Patellofemoral Replacement—Correlation of Preoperative Planning with Intraoperative Implant Position and Early Clinical Experience: A Minimum 2-Year Follow-up

2020 ◽  
Author(s):  
Veenesh Selvaratnam ◽  
Andrew Cattell ◽  
Keith S. Eyres ◽  
Andrew D. Toms ◽  
Jonathan R. P. Phillips ◽  
...  
Keyword(s):  
Functional Outcome ◽  
Preoperative Planning ◽  
Trochlear Dysplasia ◽  
Oxford Knee Score ◽  
Implant Position ◽  
Robotic Assisted ◽  
Implant Positioning ◽  
Flexion Extension ◽  
The Mean

AbstractPatello-femoral arthroplasty (PFA) is successful in a selected group of patients and yields a good functional outcome. Robotic-assisted knee arthroplasty has been shown to provide better implant positioning and alignment. We aim to report our early outcomes and to compare Mako's (Robotic Arm Interactive Orthopaedic System [RIO]) preoperative implant planning position to our intraoperative PFA implant position. Data for this study was prospectively collected for 23 (two bilateral) patients who underwent robotic-assisted PFA between April 2017 and May 2018. All preoperative implant position planning and postoperative actual implant position were recorded. Presence of trochlear dysplasia and functional outcome scores were also collected. There were 17 (two bilateral) female and 6 male patients with a mean age of 66.5 (range: 41–89) years. The mean follow-up period was 30 (range: 24–37) months. Eighteen knees (72%) had evidence of trochlear dysplasia. The anterior trochlear line was on average, 7.71 (range: 3.3–11.3) degrees, internally rotated to the surgical transepicondylar axis and on average 2.9 (range: 0.2–6.5) degrees internally rotated to the posterior condylar line. The preoperative planning range was 4-degree internal to 4-degree external rotation, 4-degree varus to 6-degree valgus, and 7-degree flexion to 3-degree extension. The average difference between preoperative planning and intraoperative implant position was 0.43 degrees for rotation (r = 0.93), 0.99 degrees for varus/valgus (r = 0.29), 1.26 degrees for flexion/extension (r = 0.83), and 0.34 mm for proudness (r = 0.80). Six patients (24%) had a different size component from their preoperative plan (r = 0.98). The mean preoperative Oxford Knee Score (OKS) was 16 and the mean postoperative OKS was 42. No patient had implant-related revision surgery or any radiological evidence of implant loosening at final follow-up. Our early results of robotic PFA are promising. Preoperative Mako planning correlates closely with intraoperative implant positioning. Longer follow-up is needed to assess long-term patient outcomes and implant survivorship.

Robotic versus Video-Assisted Thoracoscopic Surgery Pulmonary Segmentectomy

2018 ◽  
Vol 13 (5) ◽  
pp. 338-343 ◽  
Author(s):  
Kelsey A. Musgrove ◽  
Jeremiah A. Hayanga ◽  
Sari D. Holmes ◽  
Alexander Leung ◽  
Ghulam Abbas
Keyword(s):  
Length Of Stay ◽  
Thoracic Surgery ◽  
Early Experience ◽  
Robotic Group ◽  
Robotic Assisted ◽  
Video Assisted Thoracic Surgery ◽  
Video Assisted ◽  
Surgery Group ◽  
Small Series ◽  
The Mean

Objective Pulmonary segmentectomy using robotic assistance is often perceived as being more expensive than segmentectomy using video-assisted thoracic surgery. The robotic technique allows for meticulous dissection during segmentectomy, potentially leading to fewer parenchymal injuries, fewer air leaks, and shorter length of stay. This study compared pulmonary segmentectomy costs using video-assisted thoracic surgery versus robotic with manual staplers versus robotic with robotic staplers. Methods Retrospective analyses were performed evaluating our early experience with robotic pulmonary segmentectomy for 30 months compared with the video-assisted thoracic surgery approach. All 50 anatomical segmentectomies performed since introduction of robotic technique in the practice were included. Twenty-eight procedures were robotic-assisted and 22 were video-assisted thoracic surgery. Procedure-specific evaluation of direct costs was performed, including cost of robotic instruments, staplers, and average length of stay in the hospital. Results The mean ± SD age was 70 ± 10 years (range = 43–91 years). There were 12 males in the robotic group and eight in the video-assisted thoracic surgery group ( P = 0.642). The mean age was 69 years in the robotic group and 71 years in the video-assisted thoracic surgery group ( P = 0.367). The median length of stay was 2 (2–4) days in the robotic group (range = 1–9) and 4 (2–5) days in the video-assisted thoracic surgery group (range = 1–20, P = 0.089). The cost of robotic segmentectomy with manual staplers was less than that with robotic staplers. Both robotic techniques cost less than video-assisted thoracic surgery. Conclusions In this small series, cost and outcomes in our early experience with robotic-assisted segmentectomy were comparable with our video-assisted thoracic surgery approach with trends toward shorter length of stay and fewer complications. Larger series are needed to validate these results.

Lengths of Stay and Discharge Dispositions after Total Knee Arthroplasty: A Comparison of Robotic-Assisted and Manual Techniques

2021 ◽  
Author(s):  
Allison Archer ◽  
Hytham S. Salem ◽  
Andrea Coppolecchia ◽  
Michael A. Mont
Keyword(s):  
Length Of Stay ◽  
Large Scale ◽  
Early Discharge ◽  
Robotic Assisted ◽  
Lengths Of Stay ◽  
Home Health Services ◽  
Scale Population ◽  
Manual Group ◽  
Total Knee ◽  
The Mean

AbstractAs evidence signifies that short-stay total knee arthroplasties (TKA) can be safe options, it is important to identify factors that contribute to early discharge. There is evidence that robotic-assisted TKAs may lead to shorter lengths of postoperative stays. However, this has not been evaluated as the primary outcome of interest in a large-scale population. The purpose of this study was to compare manual and robotic-assisted TKAs with regard to: (1) length of stay (LOS) and (2) discharge dispositions. TKAs performed between January 1, 2018, to March 31, 2019, were identified. After applying inclusion and exclusion criteria, a total of 10,296 patients were included: 5,993 in the manual and 4,303 in the robotic-assisted group. Length of stay, discharge dispositions, and Charlson comorbidity indices (CCIs) were recorded for all patients. The mean LOS was significantly lower in robotic-assisted (1.68 ± 0.86 days) compared with manual (1.86 ± 0.94 days) TKA procedures (p < 0.00001). In the robotic-assisted group, 2,049 (47.6%) were discharged in 1 day or less compared with 2,325 (38.8%) in the manual group (p < 0.0001). The proportion discharged home was significantly higher for patients who underwent robotic-assisted (91.3%) compared with manual (87.4%) TKAs (p < 0.00001). When comparing only patients who were discharged home and who did not have home health services, the rate was 51.8% in the robotic-assisted group compared with 44.0% in the manual group (p < 0.00001). The mean CCI was similar for patients who underwent robotic-assisted (2.9 ± 1.4 points) compared with manual (3.0 ± 1.5 points) TKAs. There was a trend toward shorter mean LOS for robotic-assisted versus manual TKA at 17 of the 24 included hospital sites (70.8%). Compared with manual, robotic-assisted TKAs demonstrated shorter lengths of postoperative stays and less need for skilled care after discharge. These results suggest the health care burden resulting from an upsurge of TKA procedures in our aging population might be addressed in part by increased utilization of robotic assistance.

scholarly journals P-OGC81 The learning curve for robotic assisted abdominal phase in two stage oesophagectomy

2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Patrick McQuillan ◽  
Salman Ahmed ◽  
Mazair Navidi ◽  
Shajahan Wahed ◽  
Arul Immanual
Keyword(s):  
Learning Curve ◽  
Operating Time ◽  
Open Group ◽  
R0 Resection ◽  
Two Stage ◽  
Nodal Count ◽  
Robotic Assisted ◽  
Significant Difference ◽  
Phase Group ◽  
The Mean

Abstract Background Robotic assisted oesophagectomy (RAO) is increasingly being utilised in the management of oesophageal cancer. RAO implementation into practice has an inevitable learning curve. As oesophagectomy usually involves at least 2 stages, a staggered approach to training and introduction of RAO can be done. A major advantage of this is that the surgeon can concentrate on overcoming the learning curve in one phase of the procedure at a time, whilst the remaining phase can be completed by an established technique. This study looks at the learning curve of a robotic assisted abdominal phase for two-stage oesophagectomy compared to an open abdominal phase to achieve parity. Methods This study uses a prospectively maintained database to retrospectively analyse the abdominal phase of the first 17 RAO compared to the previous 20 open abdominal phase procedures. The cases are sequential, done by a single surgeon at a large UK oesophagogastric referral centre. Operating time, nodal count, and R0 rate were reviewed to determine the number of cases on the learning curve to reach parity with the open procedure. Results The open abdominal phase group had a similar age (65.6 vs 65.7), pre-op anaerobic threshold (13.9 vs 14.6 p = 0.3) but a higher BMI (mean 30.6 vs 24.6 p &lt; 0.05) then the RAO group. All cases were T3 adenocarcinoma except for 2 cases in the robotic group (one HGD and one T2 adenocarcinoma). No RAO cases were converted to open. The mean time for the abdominal phase in the open group was 175.4 minutes with an average nodal count of 32.9. After 8 robotic assisted cases the mean operating time decreased from 267 minutes to 197 minutes, which was when a non-significant difference to the open group (p = 0.094) became apparent. The mean nodal count in the first 8 robotic assisted cases was 29.5 and increased to 38.4 in the subsequent cases. All patients had a R0 resection. Conclusions The multi-phase nature of oesophagectomy allows for modular implementation of a robotic programme. We have found that the learning curve for robotic assisted abdominal is around 8 cases. This allows for parity to open abdominal phase to be achieved regarding operative time, nodal count and R0 resection.

Defining the Learning Curve for Robotic-Assisted Endoscopic Harvesting of the Left Internal Mammary Artery

2013 ◽  
Vol 8 (5) ◽  
pp. 353-358 ◽  
Author(s):  
Jonathan M. Hemli ◽  
Lucas W. Henn ◽  
Christopher R. Panetta ◽  
Jenny S. Suh ◽  
Scott R. Shukri ◽  
...  
Keyword(s):  
Learning Curve ◽  
Internal Mammary Artery ◽  
Left Internal Mammary Artery ◽  
Learning Curves ◽  
Coronary Surgery ◽  
Harvest Time ◽  
Robotic Assisted ◽  
Internal Mammary ◽  
The Mean ◽  
Robotic Instruments

Objective Robotic-assisted techniques are continuing to cement their role in coronary surgery, particularly in facilitating the endoscopic harvesting of the left internal mammary artery (LIMA), regardless of how the subsequent bypass grafting is performed. As more surgeons attempt to become trained in robotic-assisted procedures, we sought to better define the learning curve associated with robotic-assisted endoscopic LIMA harvest. Methods Between January 2011 and July 2012, a total of 77 patients underwent robotic-assisted minimally invasive direct coronary artery bypass surgery at our institution. The LIMA was harvested endoscopically in all patients, using standard robotic instruments, followed by direct grafting to anterior wall myocardial vessels via a small thoracotomy. Intraoperative times for various components of the procedure were collated and analyzed. Results The mean ± SD time taken to insert and position the ports for the robotic instruments was 3.9 ± 1.4 minutes. The mean ± SD LIMA harvest time was 31.8 ± 10.1 minutes, and the mean ± SD total robotic time was 44.2 ± 12.9 minutes. All time variables consistently continued to decrease as the experience of the operating surgeon increased, with the greatest magnitude of improvement being evident within the first 20 cases. The logarithmic learning curves for LIMA harvest time and total robot time during our entire experience were both calculated as 90%, correlating to an expected 10% improvement in performance for each doubling of cases completed. Conclusions Coronary surgeons can rapidly become proficient in robotic-assisted endoscopic LIMA harvest, with significant improvement in operative times evident within the first 20 cases completed. These data may be useful in designing appropriate training programs for newer surgeons seeking to gain experience in robotic-assisted coronary surgery.

Successful Transition to Robotic-Assisted Lobectomy With Previous Proficiency in Thoracoscopic Lobectomy

2019 ◽  
Vol 14 (3) ◽  
pp. 263-271 ◽  
Author(s):  
Robert E. Merritt ◽  
Peter J. Kneuertz ◽  
Desmond M. D’Souza
Keyword(s):  
Length Of Stay ◽  
Lymph Nodes ◽  
Learning Curve ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Complication Rates ◽  
Robotic Assisted ◽  
Thoracoscopic Lobectomy ◽  
Surgeon Experience ◽  
The Mean

Objective The learning curve and the advantages of transitioning to robotic-assisted lobectomy by a surgeon who is proficient in thoracoscopic lobectomy is currently unknown. The cost of robotic lobectomy has been reported to be higher than thoracoscopic lobectomy and there is no significant decrease in hospital length of stay. Methods This is a retrospective review of 228 patients diagnosed with lung carcinoma who underwent minimally invasive lobectomy from March 2014 to May 2018. A total of 114 patients underwent thoracoscopic lobectomy and 114 patients underwent robotic-assisted lobectomy. The data collected included patient demographics, tumor characteristics, morbidity, mortality, operative times, and hospital length of stay. Results A total of 114 patients underwent thoracoscopic lobectomy and 114 patients underwent robotic-assisted lobectomy. The patients in each group were similar in age, gender, smoking status, FEV-1, tumor histology, and pathologic stage. The mortality and complication rates were similar. The mean number of total lymph nodes and N2 lymph nodes were significantly higher in the robotic lobectomy group ( P < 0.0001). The mean operative time was shorter in the robotic group. The median hospital length of stay (4 days) was similar between the 2 groups ( P = 0.99). Conclusion The results of this report suggest that thoracoscopic and robotic-assisted lobectomy have similar outcomes when a surgeon proficient in the thoracoscopic technique completely transitions to the robotic-assisted technique. The learning curve was relatively accelerated in this single-surgeon experience. There may be an advantage for robotic-assisted lobectomy in the total number of lymph nodes harvested.

scholarly journals Evaluation of Robotic-Assisted Laparoscopic and Open Pyeloplasty in Children: Single-Surgeon Experience

2015 ◽  
Vol 97 (2) ◽  
pp. 109-114 ◽  
Author(s):  
P Murthy ◽  
JA Cohn ◽  
MS Gundeti
Keyword(s):  
Epidural Analgesia ◽  
Learning Curve ◽  
Clinical Success ◽  
Laparoscopic Pyeloplasty ◽  
Robotic Assisted ◽  
Urologic Surgery ◽  
Presenting Symptoms ◽  
Initial Learning ◽  
Surgeon Experience ◽  
Open Pyeloplasty

Introduction Robotic-assisted laparoscopic pyeloplasty (RALP), the most commonly undertaken paediatric robotic urologic surgery, has not been compared against open pyeloplasty (OPN) by a single surgeon. Here, we describe our experience and outcomes. Methods Children undergoing RALP or OPN from 2007 to 2013 were reviewed. Clinical success was defined as resolution of presenting symptoms and improved/stable hydronephrosis on ultrasound. Results RALP and OPN cohorts comprised 52 and 40 patients, respectively. RALP patients were significantly older (6.8 vs 1.2 years, p<0.01) and heavier (28.4 vs 8.4 kg, p<0.01). Operative times for RALP were longer (203.3 vs 135.0 min, p<0.01), but decreased significantly with increasing experience (r2=0.42, p<0.01). Seven type-IIIb Clavien–Dindo complications occurred in RALP patients compared with two in OPN cases. There were no differences in postoperative narcotic administration (p=0.92) or duration of stay in hospital (DOSH) (p=0.93). A total of 11/40 (28%) OPN patients required epidural analgesia but none were placed in the RALP cohort. A total of 49/52 (94%) RALP patients and 40/40 OPN cases had successful outcomes. Three RALP patients required revision RALP. Conclusions These data show that outcomes for RALP and OPN were comparable. An initial learning curve with RALP is to be expected, but operative times for RALP approached those for OPN. Previously reported benefits of RALP (reduced analgesic requirements, DOSH) were not observed. This difference may have been due to comparison of a heterogeneous cohort. Close evaluation of complications allowed for improved placement of stents in RALP.

Learning Curve of Robotic-Assisted Total Knee Arthroplasty for a High-Volume Surgeon

2020 ◽  
Author(s):  
Kevin B. Marchand ◽  
Joseph Ehiorobo ◽  
Kevin K. Mathew ◽  
Robert C. Marchand ◽  
Michael A. Mont
Keyword(s):  
Total Knee Arthroplasty ◽  
Learning Curve ◽  
Knee Arthroplasty ◽  
Operative Time ◽  
High Volume ◽  
Study Groups ◽  
P Value ◽  
Robotic Assisted ◽  
Total Knee ◽  
The Mean

AbstractThe learning curve has been established for robotic-assisted total knee arthroplasty (RATKA) during the first month of use; however, there have been no studies evaluating this on a longer term. Therefore, the purpose of this study was to compare operative times for three cohorts during the first year following adoption of RATKA (initial, 6 months, and 1 year) and a prior cohort of manual TKA. We investigated both mean operative times and the variability of operative time in each cohort. This is a learning curve study comparing a single surgeon's experience using RAKTA. The study groups were made up of two cohorts of 60 cementless RATKAs performed at ∼6 months and 1 year of use. A learning curve was created based on the mean operative times and individual operative times were stratified into different cohorts for comparison. Study groups were compared with the surgeon's initial group of 20 cemented RATKAs and 60 cementless manual cases. Descriptive numbers were compiled and mean operative times were compared using Student's t-tests for significant differences with a p-value of < 0.05. The mean surgical times continued to decrease after 6 months of RATKA. In 1 year, the surgeon was performing 88% of the RATKA between 50 and 69 minutes. The initial cohort and 1-year robotic-assisted mean operative times were 81 and 62 minutes, respectively (p < 0.00001). Mean 6-month robotic-assisted operative times were similar to manual times (p = 0.12). A significant lower time was found between the mean operative times for the 1-year robotic-assisted and manual (p = 0.008) TKAs. The data show continued improvement of operative times at 6 months and 1 year when using this new technology. The results of this study are important because they demonstrate how the complexity of a technology which initially increases operative time can be overcome and become more time-effective than conventional techniques.

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