| Literature DB >> 34699034 |
Tibor A Zwimpfer1,2, Claudine Wismer3, Bernhard Fellmann-Fischer4, James Geiger4, Andreas Schötzau4, Viola Heinzelmann-Schwarz4,5.
Abstract
Laparoscopic surgery provides well-known benefits, but it has technological limitations. Depth perception is particularly crucial, with three-dimensional (3D) imaging being superior to two-dimensional (2D) HD imaging. However, with the introduction of 4K resolution monitors, 2D rendering is capable of providing higher-quality visuals. Therefore, this study aimed to compare 3D HD and 2D 4K imaging using a pelvitrainer model. Eight experts and 32 medical students were performing the same four standardized tasks using 2D 4K and 3D HD imaging systems. Task completion time and the number of errors made were recorded. The Wilcoxon test and mixed-effects models were used to analyze the results. Students were significantly faster in all four tasks when using the 3D HD perspective. The median difference ranged from 18 s in task 3 (P < 0.003) up to 177.5 s in task 4 (P < 0.001). With the exception of task 4, students demonstrated significantly fewer errors in all tasks involving 3D HD imaging. The experts' results confirmed these findings, as they were also faster in all four tasks using 3D HD, which was significant for task 1 (P < 0.001) and task 4 (P < 0.006). The expert group also achieved better movement accuracy using the 3D HD system, with fewer mistakes made in all four tasks, which was significant in task 4 (P < 0.001). Participants in both groups achieved better results with the 3D HD imaging system than with the 2D 4K system. The 3D HD image system should be used when available. Trial registration: this trial is registered at research registry under the identifier researchregistry6852.Entities:
Keywords: 2D 4K vision system; 3D HD vision system; Laparoscopy; Pelvitrainer; Standardized tasks
Mesh:
Year: 2021 PMID: 34699034 PMCID: PMC9213270 DOI: 10.1007/s13304-021-01195-0
Source DB: PubMed Journal: Updates Surg ISSN: 2038-131X
Fig. 1Flow diagram illustrating study design and process
Fig. 2Illustration of the start position of tasks 1 through 4 with the 3D HD image system
Manually measured mistakes made in each task by experience group
| Experience level | Contrast | Task | Median of the differences | 95% confidence interval | ||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Students | 3D/HD–2D/4K | 1 | 0 | 0 | 0 | NA |
| Students | 3D/HD–2D/4K | 2 | 2 | 2 | 3 | < 0.001 |
| Students | 3D/HD–2D/4K | 3 | 0 | 0 | 0 | NA |
| Students | 3D/HD–2D/4K | 4 | 0 | 0 | 0 | 0.0593 |
| Experts | 3D/HD–2D/4K | 1 | 0 | 0 | 0 | NA |
| Experts | 3D/HD–2D/4K | 2 | 1 | 0 | 3 | 0.265 |
| Experts | 3D/HD–2D/4K | 3 | 0 | 0 | 0 | NA |
| Experts | 3D/HD–2D/4K | 4 | 0 | − 0.5 | 0 | 0.3458 |
NA not applicable
The P value was calculated using the non-parametric Wilcoxon test. P < 0.05 was considered significant. For task 1 and 3, the manually measured mistakes were not collected
Automatically measured mistakes made in each task by experience group
| Status | Contrast | Task | Geometric mean ratio | 95% confidence interval | ||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Students | 3D/HD–2D/4K | 1 | 0.7452 | 0.5546 | 1.001 | 0.051 |
| Students | 3D/HD–2D/4K | 2 | 0.8954 | 0.6664 | 1.203 | 0.4618 |
| Students | 3D/HD–2D/4K | 3 | 0.3128 | 0.2328 | 0.4203 | < 0.001 |
| Students | 3D/HD–2D/4K | 4 | 1 | 0.7443 | 1.344 | 1 |
| Experts | 3D/HD–2D/4K | 1 | 0.7464 | 0.4107 | 1.357 | 0.3301 |
| Experts | 3D/HD–2D/4K | 2 | 1.167 | 0.6418 | 2.12 | 0.6067 |
| Experts | 3D/HD–2D/4K | 3 | 0.2403 | 0.1322 | 0.4368 | < 0.001 |
| Experts | 3D/HD–2D/4K | 4 | 1 | 0.5502 | 1.817 | 1 |
The P value was calculated using the parametric mixed-effects model. The mean ratio approximately corresponded to the median. A P value < 0.05 was considered significant. For task 4 the automatically measured mistakes were not collected
Time measured in seconds made in each task by experience group
| Status | Contrast | Task | Geometric mean ratio | 95% confidence interval | ||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Students | 3D/HD–2D/4K | 1 | 0.5622 | 0.4859 | 0.6504 | < 0.001 |
| Students | 3D/HD–2D/4K | 2 | 0.8027 | 0.6939 | 0.9287 | 0.0033 |
| Students | 3D/HD–2D/4K | 3 | 0.802 | 0.6932 | 0.9278 | 0.0032 |
| Students | 3D/HD–2D/4K | 4 | 0.6053 | 0.5232 | 0.7002 | < 0.001 |
| Experts | 3D/HD–2D/4K | 1 | 0.6144 | 0.485 | 0.7783 | < 0.001 |
| Experts | 3D/HD–2D/4K | 2 | 0.9091 | 0.7177 | 1.152 | 0.4218 |
| Experts | 3D/HD–2D/4K | 3 | 0.9446 | 0.7457 | 1.197 | 0.6303 |
| Experts | 3D/HD–2D/4K | 4 | 0.7146 | 0.5641 | 0.9052 | 0.0063 |
The P value was calculated using the parametric mixed-effects model. The mean ratio approximately corresponded to the median. A P value < 0.05 was considered significant
Fig. 3The subjective rating of both experience groups on how challenging they found each task when using the two different image system. 1 = not challenging, 10 = extremely challenging
Fig. 4The percentage of students and experts who reported being acclimated to the image system for each task are represented in red
Fig. 5The percentage of students and experts who found the imaging systems intuitive are represented in red
Fig. 6The percentage of students and experts who found the imaging systems were advantageous during the performance of the tasks are represented in red