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The learning curve of laparoscopic liver resection utilising a difficulty score Cover

The learning curve of laparoscopic liver resection utilising a difficulty score

Open Access
|Sep 2021

Figures & Tables

Figure 1

The continuous mean risk curve of intraoperative complication (IOC) as a function of the Halls difficulty score: the theoretical probability of intraoperative complication.11
The continuous mean risk curve of intraoperative complication (IOC) as a function of the Halls difficulty score: the theoretical probability of intraoperative complication.11

Figure 2

Histogramic time classes dependency of intraoperative complication (IOC) (yes/no) on the observed cohort.
Histogramic time classes dependency of intraoperative complication (IOC) (yes/no) on the observed cohort.

Figure 3

Time dependency of the Halls difficulty score on the observed cohort (blue points) and its regression (trend) line (red line).
Time dependency of the Halls difficulty score on the observed cohort (blue points) and its regression (trend) line (red line).

Figure 4

Two types of learning curves for observed cohort and the surgeon under consideration. The orange line (AC) represents the logarithmic regression curve based on absolute complexity. The green line (LC) represents the sum of the orange curve and the quintic regression line of relative complexity. This line represents our learning curve.AC = absolute complexity; ac (N) = absolute complexity expressed by the number of intraoperative complications; LC = learning curve
Two types of learning curves for observed cohort and the surgeon under consideration. The orange line (AC) represents the logarithmic regression curve based on absolute complexity. The green line (LC) represents the sum of the orange curve and the quintic regression line of relative complexity. This line represents our learning curve.AC = absolute complexity; ac (N) = absolute complexity expressed by the number of intraoperative complications; LC = learning curve

Baseline characteristics of 171 patients who underwent laparoscopic liver resection

Baseline characteristicsNa,b
Male sexa104 (60.8%)
Age (years)b64 (20-86, 15)
BMI (kg/m2)b27 (18-50, 4.8)
1 44 (25.7%)
ASA scorea2 73 (42.7%)
3 51 (29.8%)
4 3 (1.8%)
Liver cirrhosis Child-Pugh (22)aA 33 (19.3%)
B 4 (2.3%)
Previous abdominal surgerya41 (24.0%)
Previous liver resectiona8 (4.6%)
Malignant tumoura128 (74.9%)
Neoadjuvant chemotherapya25 (14.6%)
Max. diameter (mm)b38 (2-160, 33)
Number of tumoursa1 (1-10, 0).
Deep location within livera50 (29.2%)
Posterosuperior liver segmentsa49 (28.7%)

Perioperative outcomes of 171 patients who underwent laparoscopic liver resection

Intraoperative details and postoperative courseNa,b
Anatomic resection (23) a101 (59.1%)
Anatomically major resection (23) a27 (15.8%)
Technically major resection (24)a29 (17.0%)
Operation time (min)b160 (25-450, 90)
Blood loss (mL)b150 (0-2200, 180)
Intraoperative complication (10)c34 (19.9%)
        Conversion to open approacha24 (14.0%)
        Blood loss > 775 mLa12 (7.0%)
        Unintentional damage to the surrounding structuresa2 (1.2%)
Hepatic pedicle clampinga45 (26.3%)
Total hepatic pedicle clamping time (min)b8 (0-75, 10)
Transfusion requireda20 (11.7%)
Pathohistological diagnosis
        Colorectal liver metastases53 (31%)
        Hepatocellular carcinoma46 (29.6%)
        Intrahepatic cholangiocarcinoma14 (8.2%)
        Other metastases11 (6.4%)
        Hepatic cysts10 (5.8%)
        Hepatic adenoma6 (4.7%)
        Focal nodular hyperplasia8 (4.7%)
        Haemangioma6 (3.5%)
        Other pathology15 (8.8%)
R0 resection163 (95.3%)
Major morbidity CD 3a–4b (25)a21 (12.3%)
Hospital stay (days)b6 (2-79, 4)
DOI: https://doi.org/10.2478/raon-2021-0035 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 111 - 118
Submitted on: Jun 2, 2021
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Accepted on: Jul 16, 2021
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Published on: Sep 6, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Arpad Ivanecz, Irena Plahuta, Matej Mencinger, Iztok Perus, Tomislav Magdalenic, Spela Turk, Stojan Potrc, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.