Introduction

With James Cameron’s Avatar in 2009, three-dimensional imaging began its triumphant march from cinemas around the world into our living rooms. Although 3D imaging had been introduced to laparoscopy as early as 1996, it took years of technological development to overcome limitations in ergonomics and quality of these systems [1]. In parallel, the introduction of stereoscopic viewing with the da Vinci system for robotically assisted laparoscopy presumably triggered the demand for 3D systems in conventional laparoscopy. The da Vinci system not only offered a higher degree of freedom in instrument movements, but also added depth perception to laparoscopy, thus leading to improved surgical performance and a higher comfort for the operating surgeon [2, 3]. However, differences between the da Vinci’s parallel rod lenses system with direct vision through separate lenses for each eye and 3D-systems using a monitor system for visualization as in conventional laparoscopy, are considerable, and potential benefits of one system may not apply to the other.

Today, a number of systems are on the market ready to enter our operating theaters to replace 2D laparoscopy and/or challenge more expensive robotic systems comprising potential disadvantages such as the lack of tactile feedback. Possible benefits of adding depth perception to laparoscopy may be able to alleviate shortcomings of laparoscopy, such as a loss of dexterity, reduced tactile sensation, and the fulcrum effect (instruments moving in the opposite direction to the surgeon’s hands due to the pivot point) [4]. Procedures may potentially become faster and safer with surgeons in training going through shorter learning curves. Several in vitro studies including limited numbers of participants suggested a superiority of modern 3D laparoscopic systems as compared to conventional 2D systems in laboratory settings [513]. In addition, a limited number of clinical studies using stereoscopic systems demonstrated favorable results [1416]. The current study is to verify these findings in a standardized surgical simulator model using validated tasks adopted from the Fundamentals of Laparoscopic Surgery (FLS) curriculum with a high number of participants.

Materials and methods

Fifty medical students without previous experience in laparoscopic surgery (novices) were randomly assigned to groups N2D (n = 25) and N3D (n = 25). Participating subjects were asked to perform five standardized tasks adopted from the Fundamentals of Laparoscopic Surgery (FLS) and European Training in Basic Laparoscopic Urological Skills (E-BLUS) curricula [17, 18]. A standardized instruction was given using a pre-recorded video manual that showed the five tasks. The students then were given a short time (5 min) to become familiar with the instruments and in case of the 3D group to become adopted to 3D vision.

In a second part of the study, eight experts with an experience of at least 50 laparoscopic procedures were asked to perform the same tasks in 2D and 3D in random order (groups E2D and E3D).

A standard laparoscopic box trainer was used, holding two 5-mm working ports and a 10-mm camera port in a typical triangle position. Both the 2D and 3D optical systems were mounted to a holding arm and held in a fixed position showing the complete area of interest within the box trainer (Fig. 1).

Fig. 1
figure 1

Laparoscopy system setup in the dry laboratory; a 3D camera, b laparoscopic box trainer, c video processing and visualization unit as standard laparoscopy tower, d computer-based video recording unit

Technical specifications of applied imaging systems

3D: dual-channel parallel rod lenses optical system with integrated 2× CMOS stereo native full-HD camera (Einstein Vision®, Aesculap AG & Co. KG, Tuttlingen/B. Braun Melsungen AG, Melsungen, Germany), transmitting 2× HD-SDI signals to a standard 3D full-HD medical monitor, passive polarization glasses.

2D: identical system using a single channel.

Performance tasks and calculations of task scores

Task 1: Peg transfer

Participants were asked to pick up six objects from the left side of a peg board with their non-dominant hand (i.e., left hand), transfer them to their right hand, and place the objects over pegs on the right side and vice versa (Fig. 2a). An overall task score was calculated according to the FLS scheme (based on the recorded video sequences). This includes an error score being subtracted from a time score with the time score being calculated as cutoff time (300 s) − time needed and the error score as the added numbers of dropped or lost pegs or forgotten hand changes (as weighted by a multiplier of 10.25 and 10, respectively).

Fig. 2
figure 2

Performance tasks; a peg transfer, b threading eyelets, c ligating loop, d intracorporeal knot, e precision cutting

Task 2: Threading eyelets

A 2/0 polyglactin suture with an SH needle had to be threaded through nine eyelets (ring screws with an opening of 6 mm fixed to a board, space between screws 45–100 mm, Fig. 2b). The task score was calculated as cutoff time (600 s) − actual time.

Task 3: Ligating loop

A pre-tied ligating loop had to be placed and fixed around a peg in accordance with a drawn line (Fig. 2c). Task score was calculated as time score (180 s − actual time) − error score (failed knot = 50, missing drawn line in mm 10×).

Task 4: Intracorporeal knot

A suture had to be fed into two 4 × 500-mm rubber bands at designated entry points and tied using a needle holder and a grasper (Fig. 2d). Since students may have had varying degrees of experience in knot tying, all the participants were allowed to practice knot tying with a conventional needle driver before starting the task. Task score was calculated as time score (600 s − actual time) − error score (distance from missed entry points in mm 10×).

Task 5: Precision cutting

Precision cutting involves cutting a marked circle with a diameter of 50 mm on a mounted piece of cellular rubber (Fig. 2e). Task score was calculated as time score (600 s − actual time) − error score (length of deviations >1 mm in mm).

After completing the tasks, participants were asked to rate 16 items in a questionnaire. This included assessments of the difficulty of each task, self-evaluations of performance (implementation of intended actions, satisfaction with results, successful learning), ratings of different qualities (haptics, vision), and personal experience (dexterity, visual-motor coordination, fun, challenge, ambition/impetus to give up, learning experience, and self-perception as a surgeon). Ratings used a numeric Likert scale (1–5, 1 representing the best experience and 5 the worst).

Scorings in the questionnaires showed a tendency toward lower scores (fewer difficulties, better personal experience).

Continuous variables were compared by using a Student’s T test for normally distributed but independent populations. All continuous data were reported as mean ± SD. Statistical analyses were conducted by using Excel (Microsoft Deutschland, Unterschleissheim, Germany) and IBM SPSS Statistics, version 21 (IBM Deutschland, Ehningen, Germany).

Results

Overall task performance (added total scores of tasks 1–5) of novices was significantly better using stereoscopic compared to monoscopic visualization (groups N2D = 579.4 and N3D = 823.1, p = 0.006). No significant difference was noted between expert groups E2D and E3D (1679.0 and 1733.0, respectively, p = 0.346). The overall performance of experts compared to novices was better in both 2D and 3D (p = 7.9 × 10−11 and p = 9.2 × 10−11) (Table 1; Fig. 3a–e).

Table 1 Task performances of novices (2 × n = 25) and experts (n = 8)
Fig. 3
figure 3

Task performance scores; a peg transfer, b threading eyelets, c ligating loop, d intracorporeal knot, e precision cutting, f overall score (mean total scores ± SD), (p values see Table 1), g mean scores questions 1–16 (novices), scores 1–5 (1 = best, 5 = worst). p > 0.05 in all except *p = 0.01; **p = 0.03

Novices showed variable differences in performances of individual tasks using 3D and 2D visualization. Superiority of performances in 3D reached a level of significance for tasks peg transfer (p = 0.016) and precision cutting (p = 0.001). 3D performances of tasks threading eyelets, ligating loop, and intracorporeal knot (p = 0.297, p = 0.083 and p = 0.066, respectively) were superior but did not reach statistical significance.

In the expert group, no significant differences in the task scores or total score between 2D and 3D performances was observed.

Scorings in the questionnaires showed a tendency toward lower scores in group N3D (less difficulties, better personal experience). Questions 12 (“How would you rate depth perception during task performances?”) and 13 (“How would you rate visual-motor coordination?”) were rated significantly better by participants of the N3D group (Fig. 3g).

Discussion

Since its introduction in the early 1980s, laparoscopy has developed from an experimental magnifying to standard of care for many surgical diseases. Today, even complex operations such as Whipple procedures or radical cystectomies can be performed laparoscopically with low complications rates and good functional and oncological outcomes [19]. However, inherent restrictions of laparoscopy, such as limitations in range of motion, an indirect working mode and decreased spatial orientation, demand a great deal of skill and experience and therefore a long learning curve [15]. In particular, it is the lack of sufficient depth perception that may affect surgical performance of complex tasks, such as intracorporeal knot tying and precise dissection [9]. In 2D laparoscopy, depth perception can only be achieved by mental processing of indirect references, such as motion parallax, relative position and size of anatomic structures, shading, and tissue grading [1, 9].

3D technology

Stereoscopic imaging in laparoscopy significantly differs from other modes of stereoscopic visualization applied in surgery. Compared to direct stereoscopic visualization like using a stereo microscope or magnifying glasses or the double-lens system of the da Vinci robot, 3D imaging in laparoscopy necessitates an additional camera and monitor system. It was only after the development of smaller lenses systems and enhanced modes of transmission (polarization or wavelength multiplexing instead of shutter systems) that 3D systems today offer a comfortable visual impression avoiding detrimental effects such as ghosting (double images), keystone effect (distortion), or vertical errors (caused by imprecise adjustment of double-lens systems) [1, 20].

3D systems for laparoscopy

Currently available 3D systems for laparoscopy either use bi-channel optical systems incorporating two parallel rod lenses (Einstein Vision®, Aesculap AG & Co. KG, Tuttlingen/B. Braun Melsungen AG, Melsungen, Germany) or two “chip-on-the-tip” digital image sensors (Olympus Medical Systems Corp., Tokyo, Japan; Karl Storz GmbH & Co., Tuttlingen, Germany). Both technologies offer full-HD resolution (1920 × 1080 pixels) transmitted to polarization monitors, thereby halfing the vertical resolution to 1920 × 540 due to a line-by-line assignment of the right- and left-eye image.

Influence of 3D imaging on surgical performance

Available studies comparing 2D and 3D laparoscopic imaging show conflicting data concerning a potential benefit of stereoscopic visualization on surgical performance. This may be attributed to the technology at hand in earlier studies that were not able to show significant difference in surgical performance in both experimental and clinical settings [21, 22]. Current experimental studies suggest that 3D imaging improves phantom task performance as measured by number of errors and time needed [5, 7, 913]. Experts seem to gain similarly in precision and time needed as compared to novices [9]. In addition, stereoscopic vision seems to improve learning curves in novices [6, 8]. However, most studies included relatively small numbers of participants (5–10 per subgroup) and/or a small number of phantom tasks with some including non-validated tasks.

Our study by and large confirms the findings of the aforementioned studies. All tasks were performed better by novices using the stereoscopic system as measured by the Fundamentals of Laparoscopic Surgery evaluation system integrating performance time and errors [23]. Experts performed better than novices in all tasks in both 2D and 3D with differences being markedly higher in the more difficult tasks 4 and 5. However, stereoscopic visualization did not translate into a markedly better performance in the expert group. Similar findings have been described by others [13]. Although this may be attributed to the rather low number of expert participants, it may as well point to a professionally acquired ability of mentally processing a virtual 3D reconstructed space from a 2D picture.

To our knowledge, the current study is the first to use the validated scoring system of the SAGES/FLS program. This system allowed us to calculate overall performances of both groups (novices and experts). In addition, the high number of participants guaranteed the participation of an unselected group of students, possibly including some with impaired stereo vision. It has been suggested by others to test and potentially exclude subjects with impaired stereoscopic vision [9]. However, we believe that a high number of unselected participants corresponds well a real-life situation.

The study is limited by a low number of expert participants and its in vitro nature. After stereoscopic laparoscopy has now been proven superior in a sufficient number of simulator studies, future research should aim at its clinical application.

Conclusions

Stereoscopic imaging improves performance of laparoscopic phantom tasks. Participants felt more confident and comfortable when using a 3D laparoscopic system. However, the question remains open whether these findings translate into faster and safer operations in a clinical setting.