| Literature DB >> 23766898 |
Chee Wei Tay1, Liang Shen, Mikael Hartman, Shridhar Ganpathi Iyer, Krishnakumar Madhavan, Stephen Kin Yong Chang.
Abstract
Objectives. We report the single-incision laparoscopic cholecystectomy (SILC) learning experience of 2 hepatobiliary surgeons and the factors that could influence the learning curve of SILC. Methods. Patients who underwent SILC by Surgeons A and B were studied retrospectively. Operating time, conversion rate, reason for conversion, identity of first assistants, and their experience with previous laparoscopic cholecystectomy (LC) were analysed. CUSUM analysis is used to identify learning curve. Results. Hundred and nineteen SILC cases were performed by Surgeons A and B, respectively. Eight cases required additional port. In CUSUM analysis, most conversion occurred during the first 19 cases. Operating time was significantly lower (62.5 versus 90.6 min, P = 0.04) after the learning curve has been overcome. Operating time decreases as the experience increases, especially Surgeon B. Most conversions are due to adhesion at Calot's triangle. Acute cholecystitis, patients' BMI, and previous surgery do not seem to influence conversion rate. Mean operating times of cases assisted by first assistant with and without LC experience were 48 and 74 minutes, respectively (P = 0.004). Conclusion. Nineteen cases are needed to overcome the learning curve of SILC. Team work, assistant with CLC experience, and appropriate equipment and technique are the important factors in performing SILC.Entities:
Year: 2013 PMID: 23766898 PMCID: PMC3665259 DOI: 10.1155/2013/381628
Source DB: PubMed Journal: Minim Invasive Surg ISSN: 2090-1445
Figure 1Hanging suture place at gallbladder fundus.
Figure 2Articulating forcep used to retract Hartmann's pouch to expose Calot's triangle and critical view of safety is visualized.
Figure 3“Snooker cue guide” position.
Figure 4CUSUM analysis of learning curve of Surgeon A.
Operative and patient profile of the first 19 cases of Surgeons A and B.
| Surgeon A | Surgeon B | |
|---|---|---|
| Cases, | 19 | 19 |
| Mean operative time, minutes (range, SD) | 90.6 (43–135, 25.8) | 124.3 (61–182, 34.1) |
| Conversion rate,
| 4 (21%) | 2 (11%) |
| Acute cholecystitis,
| 3 (16%) | 1 (5%) |
| Previous abdominal surgery, | 3 (16%) | 1 (5%) |
| Mean BMI (range, SD) | 25.4 (19.2–36.0, 4.8) | 22.4 (16.0–30.5, 4.0) |
Profile of cases that required conversion in the first 19 cases.
| Patient | Surgeon A/B | Reason | Types of conversion | Previous or on-going acute cholecystitis | Previous abdominal surgery | BMI (kg/m2) | Operating time (minutes) |
|---|---|---|---|---|---|---|---|
| 1 | A | Bile leak from cystic duct | 1 × additional 5 mm port | No | Yes | 22.6 | 100 |
| 2 | A | Dense adhesion at Calot's triangle | 1 × additional 5 mm port | No | No | 28.3 | 100 |
| 3 | A | Acute cholecystitis with dense adhesion at Calot's triangle and gallbladder bed bleeding | 2 × additional 5 mm ports | Yes | No | 27.0 | 89 |
| 4 | A | Gallbladder densely adherent to liver | 2 × additional 5 mm ports | No | No | 25.0 | 134 |
| 5 | B | Dense adhesion at Calot's triangle | 3 × additional 5 mm ports | No | No | 29.8 | 127 |
| 6 | B | Dense adhesion at Calot's triangle | 2 × additional 5 mm ports | No | No | 21.8 | 145 |
Comparison of potential risk factors in cases with and without conversion.
| Cases required conversion | Cases did not require conversion |
| |
|---|---|---|---|
|
| 8 | 111 | — |
| On-going or previous acute cholecystitis,
| 1 (13%) | 9 (8%) | 0.63 |
| Previous abdominal surgery, | 0 (0%) | 6 (5%) | 0.06 |
| Mean BMI (range, SD) | 25.8 (21.8–29.8, 3.2) | 24.1 (17.5–36, 4.6) | 0.13 |
Mean operating times, conversion rate, and patients' profile of Surgeons A after the first 19 cases.
| Surgeon A's subsequent 81 cases | Surgeon A's first 19 cases |
| |
|---|---|---|---|
| Cases, | 81 | 19 | |
| Operative time, minutes (range, SD) | 62.5 (26–180, 30.2) | 90.6 (43–135, 25.8) |
|
| Conversion rate, | 2 (2.5%) | 4 (21%) | 0.36 |
Figure 5Operating times of Surgeons A and B.
Figure 6Trend lines of operating time of Surgeons A and B. Trend line of Surgeon B showed faster improvement in operating time with mentoring from Surgeon A.
Mean operating time of cases assisted by assistants with and without CLC experience.
| Mean operating time (minute) | Max (minute) | Min (minute) | SD (±) |
| |
|---|---|---|---|---|---|
| Assistant with CLC experience | 48 | 84 | 33 | 18 |
|
| Assistant without CLC experience | 74 | 134 | 26 | 29 |
Figure 7Operating time of cases assisted by assistants with and without CLC experience.