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Canadian Medical Education Journal logoLink to Canadian Medical Education Journal
. 2020 Dec 7;11(6):e111–e127. doi: 10.36834/cmej.69051

Recent evidence on visual-spatial ability in surgical education: A scoping review

Des preuves récentes sur les habiletés visuo- spatiales pour la formation en chirurgie : revue exploratoire

Portia Kalun 1, Krista Dunn 2, Natalie Wagner 1,3, Thejodhar Pulakunta 2, Ranil Sonnadara 1,4,
PMCID: PMC7749687  PMID: 33349760

Abstract

Background

Understanding the relationships between structures is critical for surgical trainees. However, the heterogeneity of the literature on visual-spatial ability (VSA) in surgery makes it challenging for educators to make informed decisions on incorporating VSA into their programs. We conducted a scoping review of the literature on VSA in surgery to provide a map of the literature and identify where gaps still exist for future research.

Methods

We searched databases until December 2019 using keywords related to VSA and surgery. The resulting articles were independently screened by two researchers for inclusion in our review.

Results

We included 117 articles in the final review. Fifty-nine articles reported significant correlations between VSA tests and surgical performance, and this association is supported by neuroimaging studies. However, it remains unclear whether VSA should be incorporated into trainee selection and whether there is a benefit of three-dimensional (3D) over two-dimensional (2D) training.

Conclusions

It appears that VSA correlates with surgical performance in the simulated environment, particularly for novice learners. Based on our findings, we make suggestions for how surgical educators may use VSA to support novice learners. Further research should determine whether VSA remains correlated to surgical performance when trainees move into the operative environment.

Introduction

Visual-spatial ability (VSA) is the capacity to mentally visualize and manipulate objects in 3D space.1,2 VSA is important for advancement in science and engineering,3 and is assessed for entry into aviation4 and undergraduate dental programs.5 While these fields are similar to surgery in that they involve a high degree of technical skill,2 surgical training programs have not mandated VSA testing prior to entry.6 With rapid technological advancements in surgery resulting in new procedures, many trainees are now required to attain competence in both laparoscopic and robotic techniques.7 As these techniques involve manipulating surgical instruments with a reduced visual field—challenging depth perception,8 hand-eye coordination,9,10 and awareness of spatial anatomy11,12—there is interest in the relevance of VSA in surgery, and how VSA may be integrated into surgical education.1315

VSA is comprised of many components, each of which can be assessed using a variety of measures (Appendix A). For example, visualization is often assessed through the Mental Rotation Test (MRT), which requires subjects to mentally rotate objects around the vertical and/or horizontal axis.16 Spatial orientation is often assessed through the Card Rotation (CR) Test, in which subjects identify whether a card has been rotated or turned over.16 There is some evidence that these skills, specifically the ability to mentally rotate objects17 and understand the spatial relationships between different structures, are critical for surgical performance.9,12,17

Previous reviews present conflicting evidence on whether VSA can be used to predict surgical abilities and/or should be considered in trainee selection. Louridas et al. concluded that visual-spatial tests are promising for performance on a specific subset of surgical tasks; however, more robust research is needed before incorporating visual-spatial test performance into the trainee selection process.6 Meanwhile, Maan et al. recommended assessing the VSA of candidates for surgical training.18 These reviews provide contrasting suggestions for whether surgical educators should use knowledge of trainee VSA in selection. Further, it is still unclear how educators can use VSA to support trainees within training.

While many papers have explored the relationship between VSA and surgical performance, there are a number of studies that examine VSA outside of the context of trainee aptitude/selection, and there is a lack of synthesized information beyond the two previously mentioned reviews.6,18 As such, the aim of this scoping review was to summarize the literature on VSA in surgery and to identify where gaps still exist. We hope this map of the literature will guide future research in VSA and surgery, and assist surgical educators with using VSA to support trainees.

Methods

To ensure the literature on VSA in surgery was captured effectively, we conducted a scoping review following the framework outlined by the Joanna Briggs Institute (JBI).19 The JBI guideline merges the frameworks of Arksey & O’Malley20 and Levac et al.21.

Stage 1: Identifying the research question

Following a preliminary search, we identified the following question: what is the current state of literature on VSA in surgical education? This question aimed to encompass the breadth of literature on VSA in surgery, allowing us to create a thorough and complete overview of the research in this area.

Stage 2: Identifying relevant studies

Two independent reviewers (KD and PK) searched the following databases up until December 31, 2019: Ovid-MEDLINE (Ovid-MEDLINE Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Ovid-MEDLINE (R) 1946-December 31 2019, Ovid MEDLINE (R) Daily), Embase (1974-December 31 2019), ERIC-Proquest (1974-December 31 2019), PsycINFO-Proquest (1806-December 31 2019), and Cochrane Library (1999-December 31 2019). Both reviewers independently performed the search and met to discuss any discrepancies. Search terms included variations of the following: visual-spatial reasoning, skills, and abilities; surgical performance, education, residency, and training; and various components of VSA (e.g., depth perception and visualization). The search terms were searched as keywords (Ovid-MEDLINE and Embase), ‘anywhere’ (ERIC and PsycINFO), and ‘Title Abstract Keyword’ (default in Cochrane). Boolean terms were used to combine search terms. The full search strategy is shown in Appendix B.

Stage 3: Study selection

The search identified a total of 2871 articles. After 557 duplicates were removed, 2314 articles remained. Following title and abstract screening, 2089 articles were excluded. We hand-searched reference lists of the remaining articles for any relevant articles, identifying 33 additional articles for full-text review. Of the 258 articles reviewed, 117 articles were included for the qualitative synthesis (Figure 1).

Figure 1.

Figure 1

PRISMA flowchart of data following transparent reporting of systematic reviews.(111)

Two researchers completed each step of the review process independently, meeting with a third reviewer to resolve any discrepancies. During title and abstract screening, our inclusion criteria followed the participant, concept, and context (PCC) model as outlined by the JBI guidelines.19 We did not include studies focused on patients and/or patient outcomes, nor did we include studies written in languages other than English. We included studies whose participants included medical students and surgical residents, but not exclusively so (i.e., studies could also include staff surgeons). All studies focused on the concept of VSA in the context of surgery. As per the JBI guidelines, we included various sources of information for our scoping review, including primary research studies (and/or corresponding abstracts), book chapters, systematic reviews, and narrative reviews. A variety of sources were included to ensure that our review captured the scope of the literature available. If abstracts provided sufficient information, or a corresponding full-text article could be identified, the abstract and/or article was included in the review.

Stage 4: Charting the data

Two independent reviewers extracted and charted data from the articles included for final synthesis. Data extraction consisted of: author(s), title, year of publication, source of publication, publication type, study design, objective/hypothesis, topic/focus of article, methodology/intervention, outcome(s), key finding(s)/results, conclusion, limitations, and generalizability. As opposed to systematic reviews, which seek only the best available evidence, scoping reviews aim to provide a map of evidence from the literature, and do not require assessment of the quality of evidence gathered.19 Thus, we did not assess the quality of the included articles when charting the data.

Stage 5: Collating, summarising, and reporting the results

The study team synthesized the extracted data and identified major themes using a thematic analysis, which focuses on identifying patterns of meaning from the collected data.19 Synthesis was an iterative process, with the study team meeting regularly to discuss findings. Following data extraction, the primary data reviewers (PK and KD) independently grouped articles together based on what each article was exploring. The reviewers (PK and KD) then met with the rest of the research team to discuss their findings, specifically the commonalities and differences among the included studies, until the team reached consensus.

Results

Of the 117 articles included, there were 90 original research articles, eight narrative reviews, four abstracts, four letters to the editor, four systematic reviews, three methods papers, two book chapters, one meta-analysis, and one editorial. Of the 90 original research articles and four abstracts, 86 described observational studies and eight described experimental studies. All papers discussed the role of VSA for performance in surgery. Based on our thematic analysis, findings from the articles were grouped into four major themes: VSA and surgical performance, neuroimaging studies measuring brain activity during VSA tasks and surgical tasks, VSA aptitude testing, and 2D (monoscopic) versus 3D (stereoscopic) training in surgical education.

Theme One: VSA and surgical performance

Seventy-five out of 117 articles compared performance on VSA tests to performance during surgical simulation tasks, including laparoscopy (included in 49 articles), endoscopy (included in 14 articles), and 13 other simulation tasks; see supplemental material for a summary of key findings from each article (Tables S1-S3). Medical students and residents were the most commonly studied, with 33 and 31 of the 75 simulation studies including these populations, respectively. Staff and consultant surgeons were included in 19 of the 75 studies.

Visualization and spatial orientation were the most common VSA components measured (Table 1), and were significantly correlated with performance on a surgical simulator in 28/38 and 26/32 of studies, respectively. Typically, the studies that found a significant correlation had used the MRT, CR Test, Cube Comparison (CC) Test, PicSOr, or the Hidden Figure Test (HFT) as measures of visualization and/or spatial orientation.6,2243 In addition to improved performance, nine studies reported that individuals with higher visualization skills, as assessed by the MRT-A, performed faster16,4449 and more accurately50,51 than individuals with low visualization skills on surgical simulation tasks.

Table 1.

Summary of articles comparing VSA to performance on a surgical simulator.

VSA component Evaluated in x articles No. of articles reporting a significant correlation between VSA and performance on surgical simulators

Visualization

38

28/381,7,10,11,16,22,28,29,32,33,39,44,4648,5052,54,57,70,74,75,107,112115

Spatial Orientation

32

26/327,10,16,2225,2735,40,45,49,55,69,78,116119

Spatial Scanning

10

6/1026,3234,49,120

Other VSA components*

28

16/2816,25,32,34,41,4547,70,112,121126

*

Depth perception, flexibility of closure, speed of closure, spatial memory, spatial relation, and perceptual speed

Eleven studies reported that individuals with high VSA scores required less training time to reach proficiency on simulation tasks when compared to individuals with low VSA scores, regardless of which VSA component was evaluated.4,10,16,32,35,36,46,5255 In contrast, seven studies reported no such difference between the training time required to reach proficiency between those with high VSA scores and those with low VSA scores.31,50,56,57,5760 Further, five studies did not find an association between VSA scores and simulation performance,6165 while one found an association between only perceptual speed, and not visualization or spatial orientation, and simulation performance.41 One study also explored the influence of gender on learning laparoscopic knot tying, reporting that males had increased visualization following an educational intervention (cognitive imaging) compared with females.66 When comparing VSA scores of novices with experienced surgeons, four studies suggested there were no significant differences between the two groups,33,37,67,68 whereas four articles reported novices outperforming experts on VSA tasks.58,6971 Lastly, Hegarty and colleagues72 and Abe and colleagues39 reported high-spatial individuals are at an advantage early in training; however, the effects of spatial abilities may diminish with training. Yet, multiple papers reported a significant correlation between visualization and surgical simulation performance for both novice trainees11,58,70,73 and those further into residency training.22,47,48,54,55,57,74,75

Two out of the 117 articles compared performance on VSA tests to clinical performance.76,77 Hoan and colleagues76 found a significant positive correlation between performance on the CR Test and gynecology surgical skills. However, the CR Test scores also increased significantly from year one to year two of the study, suggesting that the CR Test may not be a reliable measure of VSA as it is subject to change with experience.76 Selber and colleagues77 used the Structured Assessment of Microsurgery Skills (SAMS), which includes ratings of VSA. There was a significant improvement in skills of plastic surgery trainees over the four-month period of the study, including an improvement in the SAMS measure of VSA.77

Lastly, five studies explored the relationship between VSA and surgical performance (either in simulated or clinical environments) and measured VSA as part of an assessment of surgical performance rather than measuring a specific VSA component (e.g., visualization via the MRT). Three studies used five-point rating scales to measure visuo-spatial ability,77 spatial orientation,78 and depth perception79 as specific domains on assessments of trainee competence. Due to the nature of the assessments, better VSA was correlated with increased overall performance on the simulators.78,79 Two other studies measured VSA via motion analysis built into endoscopic trainers.9,80 As with the VSA domains being built into assessments of performance, motion analysis measures of spatial awareness were directly related to overall performance on the simulators.9,80

Theme Two: Neuroimaging studies correlating VSA and surgical performance

Five experimental studies and one letter to the editor focused on neuroimaging [functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS)] during surgical and VSA tasks. Three experimental studies used fMRI, a non-invasive technique that monitors cortical brain activation through hemodynamic responses, to identify which areas of the brain are active during VSA tasks.14,81,82 Bahrami and colleagues reported a significant increase in parietal activation14 and differences in primary motor cortex activation82 during increasingly difficult Fundamentals of Laparoscopic Surgery (FLS) tasks, and Wanzel et al.81 reported statistically significant activation of bilateral inferior parietal regions and lateral prefrontal and left middle temporal areas, during an MRT-A task.

Two studies83,84 measured cortical activation during minimally invasive surgical tasks using fNIRS, a newer technology that can more accurately determine oxygen consumption83 by measuring neuron-related hemodynamics. This technology can be utilized in the operating room (OR), unlike fMRI.85 Through this technique, Leff and colleagues83 found increased hemodynamics in the fronto-parietal cortical areas both for VSA tasks and minimally invasive grasping tasks. Paggetti and colleagues84 found activation of the posterior parietal cortex in tasks that required hand-eye coordination and depth perception.

Theme Three: VSA aptitude testing

Twenty-four articles discussed VSA aptitude testing for entry into surgical programs (Table S4). Stolk-Vos and colleagues86 explored the feasibility of aptitude testing of medical trainees using the Computerized Pilot Aptitude and Screening System (COMPASS). While testing of surgical candidates was deemed feasible, it is unknown whether the COMPASS can predict surgical performance.86 A systematic review by Maan et al.18 concluded that intermediate- and high-level VSA, specifically on measures of perception, can predict surgical skill acquisition and ability. As such, Maan et al.18 suggested that VSA be used to assess candidates for surgical programs. Six other articles supported this notion due to the correlation between psychomotor ability and performance of surgical trainees found in the literature.4,15,38,8789 Two articles describe a suite of tests that can be used to screen candidates.90,91 However, thirteen studies suggested further research is required before VSA testing is incorporated into surgical residency applications as there remains some conflicting evidence surrounding VSA and surgical performance.2,5,13,59,71,9299

Further, some studies suggest that spatial abilities may be important for the selection and training of novices94,96,100 and intermediate learners,100 but the importance of having high VSA may diminish with extensive operative experience.70,72,96,101,102

Theme Four: 2D (Monoscopic) versus 3D (Stereoscopic) training in surgical education

Ten articles discussed 2D versus 3D training as it applies to VSA and surgery (Table S5). Conventional 2D methods provide the image of the scope on a 2D display, whereas 3D methods provide a unique image to each eye, resulting in a 3D view of the surgical field.12 While the depth cues afforded by 3D displays are thought to enhance skill acquisition, surgeons may alter their reliance on specific depth cues when performing skills using 2D displays.103 Of the nine studies discussing 2D versus 3D displays, four reported a benefit associated with using 3D displays in surgical simulation.8,12,51,53 This was particularly true for learners with low VSA, as it provided additional information to these learners when compared to 2D displays.8,12,51,53 However, four of the nine articles reported no significant differences in training on 2D versus 3D displays for performance on a variety of tasks, including perception of surgical images,67 surgical flaps,51 and the McGill Inanimate System for Training and Evaluation of Laparoscopic Skills (MISTELS).26,53 Further, Paggetti and colleagues84 found similar differences in posterior parietal activation for hand-eye coordination and depth perception tasks, regardless of whether these tasks were performed in 2D or 3D conditions.

Discussion

Of the 75 articles measuring the correlation between surgical trainees’ VSA scores and performance on surgical simulators, 59 reported significant correlations. These significant correlations were mainly found in studies that measured visualization and spatial orientation components of VSA. Additionally, the neuroimaging studies using both fMRI and fNIRS reported that the same areas of the brain are active during visualization (as measured by the MRT) and surgical tasks.14,81,83 For this reason, we conclude there is evidence to support a relationship between surgical performance and VSA, specifically for measures of visualization and spatial orientation. Since this was a scoping review and quality of studies was not evaluated, we cannot make statements about the strengths of the associations reported in our themes.

There are many ways to measure visualization (e.g., MRT, Paper Folding Test (PFT), Surface Development Test (SDT), Keyhole Test, etcetera) and spatial orientation (e.g., CR Test, CC Test, Stumpf-Fay Cube Comparisons Test, etcetera). However, this review suggests the MRT, CR Test, and/or CC Test have the most evidence when interested in surgical performance. The MRT is a useful measure of surgical simulation performance as individuals must mentally rotate objects,17 a task common in surgical procedures. The MRT was also the most frequently studied measure, with authors often reporting significant correlations with performance on surgical tasks. For spatial orientation, the CR and/or CC tests are useful measures, as understanding the spatial relationship between different structures is critical in surgery.9,12,17 Further, the CR and CC tests were some of the more frequently studied measures in this review.2236,76

Measuring VSA in surgical trainees is important not only because the results suggest that individuals with higher VSA often demonstrate increased surgical performance,4,10,16,22,31,32,35,36,4446,4850,52,54,55 but also that those with higher VSA often require fewer training sessions to reach a certain performance point than their peers with lower VSA.4,10,16,32,35,36,46,5254 Future research should aim to determine the scores on VSA tests that may result in educationally relevant differences in learning technical skills. The evidence from this review suggests that trainees with higher VSA compared to their peers may learn surgical skills faster, thus privileging later clinical learning and allowing them to advance beyond their peers. By assessing trainee VSA early on, trainees with lower VSA compared to their peers may be identified, and can be provided with additional support before their technical abilities fall behind that of their peers. In terms of how to support these learners, this review identified conflicting evidence on whether 2D or 3D simulators are the best approach. Three studies reported that training on 3D simulators provides additional information to learners and would especially benefit those with lower VSA.12,51,53 However, four studies suggested training on 2D simulators provides similar or superior results to 3D training.26,51,53,104 The studies included in this review did not investigate the potential interaction between fidelity of the model and viewing modality (i.e., 2D versus 3D); however, Mistry and colleagues26 suggest that additional information provided by a 3D view may be too cognitively demanding for novice learners, especially in a high-fidelity simulation. Future studies should investigate not only whether 2D versus 3D simulators are more effective at supporting learners, but also the potential interaction between simulator fidelity, viewing modality, and level of experience to better understand how 2D versus 3D modalities influence learning. Until then, we suggest training on 2D models is sufficient for surgical education due to the conflicting results on which training modality is superior, and because 2D training resources are less expensive,105 more commonly used in the OR, and familiar to trainees.12

In sum, our findings suggest there is evidence to support using VSA, specifically measures of visualization (e.g., MRT) and/or spatial orientation (e.g., CR or CC tests), as an adjunct to 2D simulator training. However, whether VSA should be used for trainee selection into surgical residency programs remains undecided. Despite the evidence of a correlation between VSA and surgical performance, there continues to be hesitation to use VSA assessments for trainee selection.59,92,93,95,106 This is likely due to conflicting evidence on whether VSA scores are correlated with performance solely during the initial skill acquisition phase, or across all stages of training.33,37,107 If VSA is correlated with surgical performance at all levels, it suggests that VSA is a stable characteristic and therefore may be a strong predictor of surgical aptitude. However, if VSA is only correlated with surgical performance in novices, it suggests that VSA may be a fluid, and trainable characteristic, and has the potential to be acquired throughout residency training with practice3 We believe that if VSA is a trainable characteristic, high VSA should not be a requirement for those applying to surgical residencies.12,15,53,108 To address this concern, future research should focus on correlating VSA to surgical performance across all levels of training. One way to achieve this would be to measure trainees’ performance on a VSA test (e.g., MRT, CC Test, or CR Test) and performance on surgical simulations annually to identify a pattern across years of training. This could further identify the potential to use VSA tests to assist trainees struggling with surgical simulation performance.

Hesitation to use VSA assessments for trainee selection may also be due to studies comparing VSA with performance in simulation, rather than performance in the clinical environment. While simulation is certainly recognized as an important adjunct to surgical education—giving trainees the opportunity to develop skills before interacting with patients109 and the ability to practice in a lower-risk environment109—there remains conflicting evidence on whether skills learned in simulation are transferrable to OR performance.110 Our review identified only two studies that explored VSA and clinical performance, neither of which found compelling evidence for a role of VSA in surgical performance.76,77 Further, evidence suggests that VSA is not correlated with surgical performance of experienced surgeons, who consistently work in the clinical environment.58,69,70 Future research should investigate the correlation between VSA, specifically visualization and/or spatial orientation, and trainee performance in the OR. By using technology such as fNIRS, areas of the brain that are activated during surgical tasks in the OR could be identified and correlated to the activation seen while trainees completed visualization and/or spatial orientation tests. However, if feasibility (e.g., cost, lack of neuroimaging experts to analyze the data) prevents that from occurring, we suggest future research focuses on identifying which of the skills that correlate to VSA reliably transfer from simulation practice to improved performance in the OR. For example, researchers may begin with identifying whether skills on specific laparoscopic (e.g., MIST-VR, LapSim) or endoscopic (e.g., GI Mentor II) simulators transfer to improved clinical performance, as many studies in our review found significant correlations between VSA and performance on these simulators. This would subsequently allow researchers to focus on correlating VSA components to the specific skills that we have identified, and that are transferable to the clinical environment. Until additional research is conducted on these areas, we do not recommend VSA be used as a selection criterion for surgical programs.

Limitations

Though this study provides a map to existing literature on VSA in surgical training, it was not a systematic review or a meta-analysis. Statistics could not be reported in tables due to the varied and inconsistent methodologies and analyses across the articles. Also, since full-text articles published outside of the English language were not included, we may have overlooked relevant data published in non-English articles.

Conclusion

This scoping review investigated the recent literature surrounding VSA in surgery. We identified four themes: VSA and surgical performance, neuroimaging studies correlating VSA and surgical performance, VSA aptitude testing, and 2D (monoscopic) versus 3D (stereoscopic) training in surgical education. From this review, we suggest visualization, specifically the MRT, and spatial orientation, as measured by the CR and CC Tests, may be used to predict trainee performance of surgical skills in simulation. Identifying VSA levels in surgical trainees may also provide educators with the opportunity to identify trainees struggling with surgical performance. Our results suggest additional 2D simulator training may be one way to support these learners, although future research is needed to explore how fidelity and level of training influences this. Additionally, future research is needed to evaluate VSA across different levels of training to determine whether it is a stable or trainable characteristic, and compare VSA to operative performance directly, for which we suggest fNIRS to be a safe and reliable method. Such work will inform whether VSA can be used to assess applicants to surgical residency programs and to support learners currently in training.

Highlights

VSA scores are correlated with surgical simulation performance of novices in many studies, but it is unclear whether VSA scores are correlated with performance across all stages of training.

Visualization and spatial orientation, as measured by MRT and CR and/or CC Tests, respectively predict performance on surgical simulators.

More research is required to determine whether VSA scores predict performance in the clinical environment.

Acknowledgements

We thank Anita Acai for comments on an earlier draft of this manuscript, Jennifer Zering for help with data extraction, and Jeffrey Ong for help with the full-text review.

Appendices

Appendix A

VSA Component Test Test Description # Studies
Depth Perception PicSOr On a computer screen, subjects are presented with a spinning arrowhead with its point touching the surface of a geometric object (cube or sphere). The task is to maneuver the arrowhead using the computer mouse until its shaft is perpendicular to object surface at the point where it was originally touching. This tests subjects' ability to recover pictorial cues that specify how structures are oriented in virtual pictorial space. 11
Depth Perception Titmus Stereo Fly Test Subjects are asked whether a picture of a fly appears to be three-dimensional. 1
Depth Perception TNO Stereopsis Test Subjects are asked to identify geometric shapes, some of which are only visible with stereoscopic vision. 1
Depth Perception Frisby Stereotest Subjects are asked which of four groups of triangles stand out to them. 2
Depth Perception Graded Circle Test Subjects are asked which diamonds appear closer (i.e., stand out). 1
Flexibility of closure/field of closure Embedded Figures Test (EFT) A simple geometric figure is shown, then subjects are asked to find the figure embedded or hidden in a relatively complex figure. 6
Flexibility of closure/field of closure Hidden Figures Test (HFT) Subject has visual environment filled with complex figures and needs to identify a specific spatial object/figure embedded within such environment. 8
Perceptual Speed Identical Pictures Test (IPT) Subjects must compare figures or symbols, or scan an image to find a specific figure or symbol. Time to completion is recorded. 5
Perceptual Speed Number Comparison Test (NCT) Subjects must inspect pair of multi-digit numbers and indicate if two numbers are same or different. Time to completion is recorded. 3
Spatial Ability Wechsler Intelligence Scale for Children–III (WISC-III) Cubes Subject uses two different colours of cubes to reproduce 12 given figures. The faster the task is completed, the more points given. 2
Spatial Orientation Card Rotation Test (CR) Test consists of a 2D drawing of a card cut into an irregular shape. To the right of this irregular shape, there are six 2D drawings of the same irregular card, either rotated or flipped over. Subject must indicate whether the irregular card has been flipped over or rotated. 24
Spatial Orientation Cube Comparison Test (CC) Subjects are given cubes with pattern on each side (three sides are visible). Subjects have to identify the cube that matches a target cube. 20
Spatial Orientation Rotating Shapes Test Two complex irregular polygonal shapes are presented (one has been rotated). Subjects are asked to identify whether the two shapes are identical, or mirror images of one another, as quickly as possible. 2
Spatial Orientation Orientation Test Subjects are presented with 2D images of geometric shapes and are asked to mentally rotate the shapes in 3D space to understand their spatial orientation. Subjects must select correct rotation. 4
Spatial Orientation Mental Rotation Reaction Time Test Two complex irregular polygonal shapes are presented (one has been rotated). Subjects are asked to identify whether the two shapes are identical, or mirror images of one another, as quickly as possible. 1
Spatial Orientation Stumpf-Fay Cube Perspectives Test In this test, different views of complex tubular figures have to be judged on their rotation with respect to a specific point of view. 1
Speed of Closure Form Completion Test (FCT) Subjects must identify objects from incomplete silhouette drawings. 3
Speed of Closure Gestalt Completion or Closure Test Drawings of an incomplete picture in black and white representing a part of an object is shown to subjects. Subjects must name the object and speed of which they name the object is measured. 4
Speed of Closure Snowy Picture Test Subjects must identify objects that are partly obstructed. 2
Spatial Scanning Map Planning Test (MPT) Subjects must plan routes on a map while avoiding barriers, as fast as possible. 11
Spatial Scanning Maze Test Subjects must go through a paper maze as quickly as possible while avoiding barriers. 3
Spatial Scanning Localization Test Within 3 seconds, subjects must view the “x” located in each of 24 rectangles projected on a screen, and place an “x” mark in the same relative location on an answer sheet. 1
Spatial Relation Block Touching Test (BTT) Subjects are presented with a drawing where some blocks are numbered and some are not. Subjects must count the number of blocks touching each of the numbered blocks. 3
Spatial Relation Spatial Relations Test (SRT) Subjects mentally reconstruct a 3D object from a 2D pattern and mentally rotate this object in space. Subjects must complete 50 tasks within 25 minutes. 3
Visualization Form Board Test (FBT) Subjects are given five small shapes and must select the shapes that together create a predetermined larger shape. 6
Visualization Keyhole Test Subjects are given a 2D shape and are asked to determine which hole the shape will be able to pass through. 1
Visualization Paper Folding Test (PFT) Subjects are shown a paper folded two or three times with a hole punch in it. Subjects must then select the drawing that correctly depicts where the hole would be if paper were unfolded. 7
Visualization Purdue Spatial Visualization Test Subjects must mentally rotate an image to see which geometric figures it could correspond to. 5
Visualization Mental rotation task A (MRT-A) Figures requiring mental rotation around vertical axis. 41
Visualization Mental rotation task C (MRT-C) Figures requiring mental rotation around vertical and horizontal axis. 2
Visualization Surface Development Test (SDT) Each question shows how a 2D piece of paper might be cut and folded to make a 3D shape. Dotted lines or numbers on the 2D diagram show where paper is folded. Subjects are asked to match to numbers on the 2D diagram, to the letters on the 3D shape. 9
Visualization 3D Blocks Game Computer-based game where subjects mentally rotate blocks around x, y and z axes until blocks fall into a pit. 1
Visual Problem Solving Matrix Reasoning Test Subject are given an impartially drawn shape and they must fill in the missing shape from number of choices. 1
Visual-motor, organization, visual memory and VS Process Rey-Figure Test (RFT) Subjects must copy/draw a figure and repeat five minutes later. 3
Visuo-spatial memory Corsi block-tapping test Subjects copy sequences of blocks being tapped. 1
VSA Component Description
Visualization Manipulate complex mental representations
Spatial Orientation Ability to perceive spatial patterns or maintain orientation with respect to objects in space
Flexibility of closure/ field of closure Identify spatial forms that are specified to the learner in advance in a cluttered visual environment
Perceptual speed Quickly identify a given shape from number of alternatives
Depth Perception Ability to perceive depth
Spatial scanning Speed in exploring visually wide or complex spatial field
Spatial relation Ability to envision depth and structure of 3D objects depicted on 2D plane
Speed of closure Write an apparently disparate perceptual field into a single concept
Spatial ability Spatial ability is the capacity to understand and remember the spatial relations among objects
Visual-motor, organization, visual memory and VS process Visual memory and recall of objects
Visual Problem Solving Ability to identify and visualize missing shapes to complete an object formation

Appendix B. December 31, 2019

Number Search Terms

1

spatial reasoning

2

visuospatial reasoning

3

visual-spatial reasoning

4

spatial skill*

5

visuospatial skill*

6

visual-spatial skill*

7

spatial abilit*

8

visuospatial abilit*

9

visual-spatial abilit*

10

surg* performance

11

surg* education

12

surg* residen*

13

surg* train*

14

depth perception

15

flexibility of closure

16

field of closure

17

perceptual speed

18

spatial orientation

19

speed of closure

20

spatial scanning

21

spatial relation

22

visualization

23

visual problem solving

24

1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9

25

10 or 11 or 12 or 13

26

14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 or 23

27

24 or 26

28

25 and 27

Footnotes

Funding: This research received funding from the Dalhousie Research in Medicine donors.

References

  • 1.Brandt M, Davies E. Visual-spatial ability, learning modality and surgical knot tying. Can J Surg. 2006;49(6):412-6. [PMC free article] [PubMed] [Google Scholar]
  • 2.Langlois J, Wells G, Lecourtois M, Bergeron G, Yetisir E, Martin M. Spatial abilities of medical graduates and choice of residency programs. ASE. 2015;8(2):111-9. 10.1002/ase.1453 [DOI] [PubMed] [Google Scholar]
  • 3.Uttal D, Meadown N, Tipton E, et al. The malleability of spatial skills: a meta-analysis of training studies. Pssychol Bull. 2013;139(2):352-402. 10.1037/a0028446 [DOI] [PubMed] [Google Scholar]
  • 4.Gallagher AG, Leonard G, Traynor OJ. Role and feasibility of psychomotor and dexterity testing in selection for surgical training. Anz J Surg. 2009;79:108-13. 10.1111/j.1445-2197.2008.04824.x [DOI] [PubMed] [Google Scholar]
  • 5.Gilligan JH, Watts C, Welsh FKS, Treasure T. Square pegs in round holes: has psychometric testing a place in choosing a surgicalcareer? A preliminary report of work in progress. Ann R Coll Surg Engl. 1999;81:73-9. [PMC free article] [PubMed] [Google Scholar]
  • 6.Louridas M, Szasz P, De Montbrun S, Harris K, Grantcharov T. Can we predict technical aptitude?: A systematic review. Ann Surg. 2016;263(4):673-91. 10.1097/SLA.0000000000001283 [DOI] [PubMed] [Google Scholar]
  • 7.Suozzi B, O'Sullivan D, Finnegan K, Steinberg A. Can visuospatial ability predict performance and learning curves on a robotic surgery simulator? Female Pelvic Med Reconstr Surg. 2013;19(4):214-8. 10.1097/SPV.0b013e318298b364 [DOI] [PubMed] [Google Scholar]
  • 8.Egi H, Hattori M, Suzuki T, Sawada H, Kurita Y, Ohdan H. The usefulness of 3-dimensional endoscope systems in endoscopic surgery. Surg Endosc. 2016;30(10):4562-8. 10.1007/s00464-016-4793-1 [DOI] [PubMed] [Google Scholar]
  • 9.Egi H, Tokunaga M, Hattori M, Ohdan H. Evaluating the correlation between the HUESAD and OSATS scores: concurrent validity study. Minim Invasive Ther Allied Techno. 2013;22:144-9. 10.3109/13645706.2012.742113 [DOI] [PubMed] [Google Scholar]
  • 10.Groenier M, Schraagen JMC, Miedema HAT, Broeders IAJM. The role of cognitive abilities in laparoscopic simulator training. Adv Health Sci Educ Theory Pr. 2014;19(2):203-17. 10.1007/s10459-013-9455-7 [DOI] [PubMed] [Google Scholar]
  • 11.Keehner M, Lippa Y, Montello D, Tendick F, Hegarty M. Learning a spatial skill for surgery: how the contributions of abilities change with practice. Appl Cogn Psychol. 2006;20(4):487-503. 10.1002/acp.1198 [DOI] [Google Scholar]
  • 12.Held R, Hui TT. A guide to stereoscopic 3D displays in medicine. Acad Radiol. 2011;18(8):1035-48. 10.1016/j.acra.2011.04.005 [DOI] [PubMed] [Google Scholar]
  • 13.Anastakis D, Hamstra S, Matsumoto E. Visual-spatial abilities in surgical training. Am J Surg. 2000;179:469-71. 10.1016/S0002-9610(00)00397-4 [DOI] [PubMed] [Google Scholar]
  • 14.Bahrami P, Graham SJ, Grantcharov TP, et al. Neuroanatomical correlates of laparoscopic surgery training. Surg Endosc. 2014;28(7):2189-98. 10.1007/s00464-014-3452-7 [DOI] [PubMed] [Google Scholar]
  • 15.Henn P, Gallagher A, Nugent E, et al. Visual spatial ability for surgical trainees: implications for learning endoscopic, laparoscopic surgery and other image-guided procedures. Surg Endosc. 2018;32:3634-9. 10.1007/s00464-018-6094-3 [DOI] [PubMed] [Google Scholar]
  • 16.Luursema J. See me, touch me, heal me: the role of visuo-spatial ability in virtual anatomical learning and surgical simulator training (PhD Thesis); University of Twente; Enschede, Netherlands [PhD] [Enschede, The Netherlands]: University of Twente; 2010. [Google Scholar]
  • 17.Luursema J, Kommers P, Verweij W, Geelkerken R. Stereopsis in medical virtual-learning-environments. Stud Health Technol Inf. 2004;103:262-9. [PubMed] [Google Scholar]
  • 18.Maan Z, Maan I, Darzi A, Aggarwal R. Systematic review of predictors of surgical performance. Br J Surg. 2012;99:1610-21. 10.1002/bjs.8893 [DOI] [PubMed] [Google Scholar]
  • 19.Peters M, Godfrey C, McInerney P, et al. Methodology for JBI scoping reviews The Joanna Briggs Institute Reviewers’ Manual 2015. Adelaide, South Australia: The Joanna Briggs Institute; 2015. [Google Scholar]
  • 20.Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Meth. 2005;8(1):19-32. 10.1080/1364557032000119616 [DOI] [Google Scholar]
  • 21.Levac D, Colquhoun H, O'Brien K. Scoping studies: advancing the methodology. Implement Sci. 2010;5(1):1-9 10.1186/1748-5908-5-69 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hedman L, Strom P, Andersson P, Kjellin A, Wredmark T, Fellander-Tsai L. High-level visual-spatial ability for novices correlates with performance in a visual-spatial complex surgical simulator task. Surg Endosc. 2006;20(8):1275-80. 10.1007/s00464-005-0036-6 [DOI] [PubMed] [Google Scholar]
  • 23.Andalib A, Feldman L, McCluney A, Fried G. Can innate visuospatial abilities predict the learning curve for acquisition of technical skills in laparoscopy? Abstract presented at: Scientific Session of the Society of American Gastrointestinal and Endoscopic Surgeons; 2006; Dallas, TX. Scientific Session of the Society of American Gastrointestinal and Endoscopic Surgeons; Dallas, TX.
  • 24.Stefanidis D, Korndorffer J, Black F, Dunne J, Sierra R, Touchard C. Psychomotor testing predicts rate of skill acquisition for proficiency-based laparoscopic skills training. Surgery. 2006;140(2):252-52. 10.1016/j.surg.2006.04.002 [DOI] [PubMed] [Google Scholar]
  • 25.Risucci D, Geiss A, Gellman L, Pinard B, Rosser J. Surgeon-specific factors in the acquisition of laparoscopic surgical skills. Am J Surg. 2001;181:289-93. 10.1016/S0002-9610(01)00574-8 [DOI] [PubMed] [Google Scholar]
  • 26.Mistry M, Roach V, Wilson T. Application of stereoscopic visualization on surgical skill acquisition in novices. J Surg Educ. 2013;50(5):563-70. 10.1016/j.jsurg.2013.04.006 [DOI] [PubMed] [Google Scholar]
  • 27.Risucci D, Geiss A, Gellman L, Pinard B, Rosser J. Experience and visual perception in resident acquisition of laparoscopic skills. Curr Surg. 2000;57(4):368-72. 10.1016/S0149-7944(00)00275-0 [DOI] [PubMed] [Google Scholar]
  • 28.Eyal R, Tendick F. Spatial ability and learning the use of an angled laparoscope in a virtual environment In: Westwood JD, Hoffman HM, Mogel GT, Stredney D, Robb RA, editors. Medicine meets virtual reality. Amsterdam, Netherlands: IOS Press; 2001. p. 146-52. [PubMed] [Google Scholar]
  • 29.Keehner M, Wong D, Tendick F. Effects of viewing angle, spatial ability, and sight of own hand on accuracy of movements performed under simulated laparoscopic conditions; Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting; 2004; New Orleans, LA. Meeting presented at: Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting; New Orleans, Louisiana: 10.1177/154193120404801514 [DOI] [Google Scholar]
  • 30.Hassan I, Gerdes B, Koller M, et al. Spatial perception predicts laparoscopic skills on virtual reality laparoscopy simulator. Childs Nerv Syst. 2007;23:685-9. 10.1007/s00381-007-0330-9 [DOI] [PubMed] [Google Scholar]
  • 31.Louridas M, Quinn LE, Grantcharov TP. Predictive value of background experiences and visual spatial ability testing on laparoscopic baseline performance among residents entering postgraduate surgical training. Surg Endosc. 2016;30(3):1126-33. 10.1007/s00464-015-4313-8 [DOI] [PubMed] [Google Scholar]
  • 32.Buckley CE, Kavanagh DO, Gallagher TK, Conroy RM, Traynor OJ, Neary PC. Does aptitude influence the rate at which proficiency is acheived for laparoscopic appendectomy? J Am Coll Surg. 2013;217(6):1020-7. 10.1016/j.jamcollsurg.2013.07.405 [DOI] [PubMed] [Google Scholar]
  • 33.Buckley CE, Kavanagh DO, Nugent E, Ryan D, Traynor OJ, Neary PC. The impact of aptitude on the learning curve for laparoscopic suturing. Am J Surg. 2014;207(2):263-70. 10.1016/j.amjsurg.2013.08.037 [DOI] [PubMed] [Google Scholar]
  • 34.Nugent E. The evaluation of fundamental ability in acquiring minimally invasive surgical skill sets (MD Thesis); University of the Royal College of Surgeons in Ireland; Dublin, Ireland [MD Thesis]. [Dublin, Ireland: ]: Royal College of Surgeons in Ireland; 2012. [Google Scholar]
  • 35.Jungmann F, Gockel I, Hecht H, et al. Impact of perceptual ability and mental imagery training on simulated laparoscopic knot-tying in surgical novices using a nissen fundoplication model. Scand J Surg. 2011;100:78-85. 10.1177/145749691110000203 [DOI] [PubMed] [Google Scholar]
  • 36.Rosenthal R, Hamel C, Oertli D, Demartines N, Gantert WA. Performance on a virtual reality angled laparoscope task correlates with spatial ability of trainees. Indian J Surg. 2010;72(4):327-30. 10.1007/s12262-010-0118-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gibbons RD, Baker RJ, Skinner DB. Field articulation testing: a predictor of technical skills in surgical residents. J Surg Res. 1986;41(1):53-7. 10.1016/0022-4804(86)90008-9 [DOI] [PubMed] [Google Scholar]
  • 38.Gibbons RD, Gudas C, Gibbons SW. A study of the relationship between flexibility of closure and surgical skill. J Am Podiatr Med Assoc. 1983;73(1):12-6. 10.7547/87507315-73-1-12 [DOI] [PubMed] [Google Scholar]
  • 39.Abe T, Raison N, Shinohara N, Khan M, Ahmed K, Dasgupta P. The effect of visual-spatial ability on the learning of robot-assisted surgical skills. J Surg Educ. 2017;75(2):458-64. 10.1016/j.jsurg.2017.08.017 [DOI] [PubMed] [Google Scholar]
  • 40.De Witte B, Di Rienzo F, Martin X, Haixia Y, Collet C, Hoyek N. Implementing cognitive training into a surgical skill course: A pilot study on laparoscopic suturing and knot tying. Surg Innov. 2018;25(6):625-35. 10.1177/1553350618800148 [DOI] [PubMed] [Google Scholar]
  • 41.Groenier M, Groenier KH, Miedema HAT, Broeders IAMJ. Perceptual sspeed and psychomotor ability predict laparoscopic skill acquisition on a simulator. J Surg Educ. 2015;72(6):1224-32. 10.1016/j.jsurg.2015.07.006 [DOI] [PubMed] [Google Scholar]
  • 42.Burkhardt R, Hammerle CHF, Lang NP, Research Group on Oral Soft Tissue Biology & Wound Healing . How do visual-spatial and psychomotor abilities influence clinical performance in periodontal plastic surgery?. J Clin Periodontol. 2019;46(1):72-85. 10.1111/jcpe.13028 [DOI] [PubMed] [Google Scholar]
  • 43.Vajsbaher T, Schultheis H, Francis NK. Spatial cognition in minimally invasive surgery: a systematic review. BMC Surg. 2018;18(1):94 10.1186/s12893-018-0416-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Schlickum M, Hedman L, Enochsson L, Henningsohn L, Kjellin A, Fellander-Tsai L. Surgical simulation tasks challenge visual working memory and visual-spatial ability differently. World J Surg. 2011;35:710-5. 10.1007/s00268-011-0981-2 [DOI] [PubMed] [Google Scholar]
  • 45.Ritter EM, McClusky DA, Gallagher AG, Enochsson L, Smith CD. Perceptual, visuospatial, and psychomotor abilities correlate with duration of training required on a virtual-reality flexible endoscope simulator. Am J Surg. 2006;192:379-84. 10.1016/j.amjsurg.2006.03.003 [DOI] [PubMed] [Google Scholar]
  • 46.Luursema J, Buzink SN, Verwey WB, Jakimowicz JJ. Visuo-spatial ability in colonoscopy simulator training. Adv Health Sci Educ Theory Pr. 2010;15(5):685-94. 10.1007/s10459-010-9230-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Hedman L, Klingberg T, Enochsson L, Kjellin A, Fellander-Tsai L. Visual working memory influences the performance in virtual image-guided surgical intervention. Surg Endosc. 2007;21:2044-50. 10.1007/s00464-007-9287-8 [DOI] [PubMed] [Google Scholar]
  • 48.Enochsson L, Ahlborg L, Murkes D, et al. Visuospatial ability affects the performance of gynecological simulation in the LAPSIMGYN VR Simulator. Abstract presented at: International Congress of the European Association for Endoscopic Surgery; 2008; Stockholm, Sweden. Conference Abstract presented at: International Congress of the European Association for Endoscopic Surgery (EAES); Stockholm, Sweden.
  • 49.Nugent E, Hseino H, Boyle E, et al. Assessment of the role of aptitude in the acquisition of advanced laparoscopic surgical skill sets. Int J Colorectal Dis. 2012;27:1207-14. 10.1007/s00384-012-1458-y [DOI] [PubMed] [Google Scholar]
  • 50.Egi H, Hattori M, Suzuki T, Sawada H, Ohdan H. The significance of spatial cognitive ability in robot-assisted surgery. Surg Endosc. 2015;29:1130-6. 10.1007/s00464-014-3773-6 [DOI] [PubMed] [Google Scholar]
  • 51.Roach V, Brandt M, Moore C, Wilson T. Is three-dimensional videography the cutting edge of surgical skill acquisition? ASE. 2012;5(3):138-45. 10.1002/ase.1262 [DOI] [PubMed] [Google Scholar]
  • 52.Wanzel K, Hamstra S, Anastakis D, Matsumoto E, Cusimano M. Effect of visual-spatial ability on learning of spatially-complex surgical skills. Lancet. 2002;359(9302):230-1. 10.1016/S0140-6736(02)07441-X [DOI] [PubMed] [Google Scholar]
  • 53.Roach V, Mistry M, Wilson T. Spatial visualization ability and laparoscopic skills in novice learners: evaluating stereoscopic versus monoscopic visualizations. ASE. 2014;7(4):295-301. 10.1002/ase.1412 [DOI] [PubMed] [Google Scholar]
  • 54.Birbas K, Tzafestas C, Kaklamanos I, Vezakis A, Polymeneas G, Bonatsos G. Spatial ability can predict laparoscopy skill performance of novice surgeons. Abstract presented at: 10th World Congress of Endoscopic Surgery, 14th International Congress of the European Association for Endoscopic Surgery; 2006; Berlin, Germany. Abstract presented at: 10th World Congress of Endoscopic Surgery, 14th International Congress of the European Association for Endoscopic Surgery (EAES); Berlin, Germany. [Google Scholar]
  • 55.Westman B, Ritter E, Kjellin A, et al. Visuospatial abilities correlate with performance of senior endoscopy specialist in simulated colonoscopy. J Gastrointest Surg. 2006;10(4):593-9. 10.1016/j.gassur.2005.08.014 [DOI] [PubMed] [Google Scholar]
  • 56.McClusky D, Ritter E, Lederman A, Gallagher A, Smith C. Correlation between perceptual, visuo-spatial, and psychomotor aptitude to duration of training required to reach performance goals on the MIST-VR surgical simulator. Am J Surg. 2005;71(1):13-21. 10.1177/000313480507100103 [DOI] [PubMed] [Google Scholar]
  • 57.Ahlborg L, Hedman L, Murkes D, et al. Visuospatial ability correlates with performance in simulated gynecological laparoscopy. Eur J Obstet Gynaecol Reprod Biol. 2011;157(1):73-7. 10.1016/j.ejogrb.2011.02.007 [DOI] [PubMed] [Google Scholar]
  • 58.Keehner M, Tendick F, Meng M, et al. Spatial ability, experience, and skill in laparoscopic surgery. Am J Surg. 2004;188(1):71-5. 10.1016/j.amjsurg.2003.12.059 [DOI] [PubMed] [Google Scholar]
  • 59.Gallagher H, Allan J, Tolley D. Spatial awareness in urologists: are they different? BJU Int. 2001;88:666-70. 10.1046/j.1464-4096.2001.02440.x [DOI] [PubMed] [Google Scholar]
  • 60.Pahuta M, Schemitsch E, Backstein D, Papp S, Gofton W. Virtual fracture carving improves understanding of a complex fracture: a randomized controlled study. J Bone Jt Surg. 2012;94(24):1-7. 10.2106/JBJS.K.00996 [DOI] [PubMed] [Google Scholar]
  • 61.Schlickum MK, Hedman L, Enochsson L, Kjellin A, Fellander-Tsai L. Systematic video game training in surgical novices improves performance in virtual reality endoscopic surgical simulators: a prospective randomized study. World J Surg. 2009;33(11):2360-7. 10.1007/s00268-009-0151-y [DOI] [PubMed] [Google Scholar]
  • 62.Ahlborg L, Hedman L, Nisell H, Felländer-Tsai L, Enochsson L. Simulator training and non-technical factors improve laparoscopic performance among OBGYN trainees. Acta Obstet Gynecol Scand. 2013;92(10):1194-1201. 10.1111/aogs.12218 [DOI] [PubMed] [Google Scholar]
  • 63.Suleman R, Yang T, Paige J, et al. Hand-eye dominance and depth perception effects in performance on a basic laparoscopic skills set. J Soc Laparoendosc Surg. 2010;14(1):35-40. 10.4293/108680810X12674612014428 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Teishima J, Hattori M, Inoue S, et al. Psychological factors in urological surgeons on learning robot-assisted surgery. J Endourol. 2012;Suppl 1:A1-572.22924864 [Google Scholar]
  • 65.Sheikh AY, Keehner M, Walker A, Chang PA, Burdon TA, Fann JI. Individual differences in field independence influence the ability to determine accurate needle angles. J Thorac Cardiovasc Surg. 2014;148(5):1804-10. 10.1016/j.jtcvs.2014.05.008 [DOI] [PubMed] [Google Scholar]
  • 66.Donnon T, DesCoteaux JG, Violato C. Impact of cognitive imaging and sex differences on the development of laparoscopic suturing skills. Can J Surg. 2005;48(5):387-93. [PMC free article] [PubMed] [Google Scholar]
  • 67.Sidhu R, Tompa D, Jang R, et al. Interpretation of three-dimensional structure from two-dimensional endovascular images: implications for educators in vascular surgery. J Vasc Surg. 2004;39(6):1305-11. 10.1016/j.jvs.2004.02.024 [DOI] [PubMed] [Google Scholar]
  • 68.Roch P, Rangnick H, Brzoska J, et al. Impact of visual-spatial ability on laparoscopic camera navigation training. Surg Endosc. 2018;32:1174-83. 10.1007/s00464-017-5789-1 [DOI] [PubMed] [Google Scholar]
  • 69.Enochsson L, Westman B, Ritter EM, et al. Objective assessment of visuospatial and psychomotor ability and flow of residents and senior endoscopists in simulated gastroscopy. Surg Endosc. 2006;20:895-9. 10.1007/s00464-005-0593-8 [DOI] [PubMed] [Google Scholar]
  • 70.Wanzel K, Hamstra S, Caminiti M, Anastakis D, Grober E, Reznick R. Visual-spatial ability correlates with efficiency of hand motion and successful surgical performance. Surgery. 2003;134(5):750-7. 10.1016/S0039-6060(03)00248-4 [DOI] [PubMed] [Google Scholar]
  • 71.Francis NK, Hanna GB, Cresswell AB, Carter FJ, Cuschieri A. The performance of master surgeons on standard aptitude testing. Am J Surg. 2001;182:30-3. 10.1016/S0002-9610(01)00652-3 [DOI] [PubMed] [Google Scholar]
  • 72.Hegarty M, Keehner M, Cohen C, Montello D, Lippa Y. The role of spatial cognition in medicine: applications for selecting and training professionals In: Allen G, editor. Applied spatial cognition: From research to cognitive technology. Lawrence Erlbaum Associates Publishers; 2007. p. 285-315. 10.4324/9781003064350-11 [DOI] [Google Scholar]
  • 73.Ahlborg L, Hedman L, Rasmussen C, Fellander-Tsai L, Enochsson L. Non-technical factors influence laparoscopic performance among OBGYN residents. J Gynecol Surg. 2012;9:415-20. 10.1007/s10397-012-0748-2 [DOI] [Google Scholar]
  • 74.Stransky D, Wilcox L, Dubrowski A. Mental rotation: cross-task training and generalization. J Exp Psychol Appl. 2010;16(4):349-60. 10.1037/a0021702 [DOI] [PubMed] [Google Scholar]
  • 75.Sliwinski J. Visuo-spatial ability and damage in laparoscopic simulator training (Bachelor Thesis Psychology); University of Twente; Enschede, Netherlands [Bachelor Thesis Psychology] [Enschede, The Netherlands]: University of Twente; 2010. [Google Scholar]
  • 76.Hoan K, Doneza J, Barr R, Ascher-Walsh C. The value of using visuospatial ability testing to determine surgical performance in gynecological residents. Am J Obstet Gynecol. 2017;216(3 Supplement 1):S605-6. 10.1016/j.ajog.2016.12.100 [DOI] [Google Scholar]
  • 77.Selber JC, Chang EI, Liu J, et al. Tracking the learning curve in microsurgical skill acquisition. Plast Reconstr Surg. 2012;130(4):550e-7e. 10.1097/PRS.0b013e318262f14a [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Adrales GL, Donnelly MB, Chu UB, et al. Determinants of competency judgments by experienced laparoscopic surgeons. Surg Endosc Interv Tech. 2004;18(2):323-7. 10.1007/s00464-002-8958-8 [DOI] [PubMed] [Google Scholar]
  • 79.Bellorin O, Kundel A, Sharma S, Ramirez-Valderrama A, Lee P. Training model for laparoscopic Heller and Dor fundoplication: a tool for laparoscopic skills training and assessment-construct validity using the GOALS score. Surg Endosc. 2016;30(8):3654-60. 10.1007/s00464-015-4617-8 [DOI] [PubMed] [Google Scholar]
  • 80.Karimyan V, Orihuela-Espina F, Leff DR, et al. Spatial awareness in Natural Orifice Transluminal Endoscopic Surgery (NOTES) navigation. Int J Surg. 2012;10:80-6. 10.1016/j.ijsu.2011.12.005 [DOI] [PubMed] [Google Scholar]
  • 81.Wanzel K, Anastakis D, McAndrews M, et al. Visual-spatial ability and fMRI cortical activation in surgery residents. Am J Surg. 2007;193(4):507-10. 10.1016/j.amjsurg.2006.11.011 [DOI] [PubMed] [Google Scholar]
  • 82.Bahrami P, Schweizer TA, Tam F, Grantcharov TP, Cusimano MD, Graham SJ. Functional MRI-compatible laparoscopic surgery training simulator. Magn Reson Med. 2011;65(3):873-81. 10.1002/mrm.22664 [DOI] [PubMed] [Google Scholar]
  • 83.Leff DR, Orihuela-Espina F, Leong J, Darzi A, Yang G. Modelling dynamic fronto-parietal behaviour during minimally invasive surgery--a Markovian trip distribution approach. LNCS. 2008;5242:595-602. 10.1007/978-3-540-85990-1_71 [DOI] [PubMed] [Google Scholar]
  • 84.Paggetti G, Leff DR, Orihuela-Espina F, et al. The role of the posterior parietal cortex in stereopsis and hand-eye coordination during motor task behaviours. Cogn Process. 2015. May;16(2):177-90. 10.1007/s10339-014-0641-1 [DOI] [PubMed] [Google Scholar]
  • 85.Leff DR, Leong J, Yang G, Darzi AW. Letter to the editor: visuo-spatial ability and fMRI cortical activation in surgery residents. Am J Surg. 2008;195(1):135-8. 10.1016/j.amjsurg.2007.05.036 [DOI] [PubMed] [Google Scholar]
  • 86.Stolk-Vos AC, Heres MH, Kesteloo J, et al. Is there a role for the use of aviation assessment instruments in surgical training preparation? A feasibility study. Postgrad Med J. 2017;93(1095):20-4. 10.1136/postgradmedj-2016-133984 [DOI] [PubMed] [Google Scholar]
  • 87.Tansley P, Kakar S, Withey S, Butler P. Visuospatial and technical ability in the selection and assessment of higher surgical trainees in the London deanery. Ann R Coll Surg Engl. 2007;89:591-5. 10.1308/003588407X187702 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Schueneman A, Pickleman J, Hesslein R, Freeark R. Neuropsychologic predictors of operative skill among general surgery residents. Surgery. 1984;96(2):288-95. [PubMed] [Google Scholar]
  • 89.Buckley CE, Nugent E, Neary PC, Traynor O, Carroll SM. Do plastic surgical trainees naturally self-select based on fundamental ability? J Plast Reconstr Aesthet Surg. 2014;67(9):1303-4. 10.1016/j.bjps.2014.04.037 [DOI] [PubMed] [Google Scholar]
  • 90.Krespi YP, Levine TM, Einhorn RK, Mitrani M. Surgical aptitude test for otolaryngology-head and neck surgery resident applicants. The Laryngoscope. 1986;96(11):1201-6. 10.1002/lary.1986.96.11.1201 [DOI] [PubMed] [Google Scholar]
  • 91.Roitberg BZ, Kania P, Luciano C, Dharmavaram N, Banerjee P. Evaluation of sensory and motor skills in neurosurgery applicants using a virtual reality neurosurgical simulator: the sensory-motor quotient. J Surg Educ. 2015;72(6):1165-71. 10.1016/j.jsurg.2015.04.030 [DOI] [PubMed] [Google Scholar]
  • 92.Bishawi M, Pryor AD. Should technical aptitude evaluation become part of resident selection for surgical residency? Surg Endosc. 2014;28:2761-2. 10.1007/s00464-014-3715-3 [DOI] [PubMed] [Google Scholar]
  • 93.Graham KS, Deary IJ. A role for aptitude testing in surgery ? J R Coll Surg Edinb. 1991;36(2):70-4. [PubMed] [Google Scholar]
  • 94.Brandt M, Wright E. Medical student career choice and mental rotations ability. Clin Invest Med. 2005;28(3):112-7. [PubMed] [Google Scholar]
  • 95.Harris, Herbert M, Steele RJC. Psychomotor skills of surgical trainees compared with those of different medical specialists. Br J Surg. 1994;81:382-3. 10.1002/bjs.1800810319 [DOI] [PubMed] [Google Scholar]
  • 96.Hamstra S. Predicting the technical competence of surgical residents. Clin Orthop Relat Res. 2006;449:62-6. 10.1097/01.blo.0000224060.55237.c8 [DOI] [PubMed] [Google Scholar]
  • 97.Biddle M, Hamid S, Ali N. An evaluation of stereoacuity (3D vision) in practising surgeons across a range of surgical specialities. Surg J R Coll Surg Edinb Irel. 2014;12(1):7-10. 10.1016/j.surge.2013.05.002 [DOI] [PubMed] [Google Scholar]
  • 98.Bann S, Darzi A. Selection of individuals for training in surgery. Am J Surg. 2005;190(1):98-102. 10.1016/j.amjsurg.2005.04.002 [DOI] [PubMed] [Google Scholar]
  • 99.Moglia A. Regarding “Visuospatial Aptitude Testing Differentially Predicts Simulated Surgical Skill.” J Minim Invasive Gynecol. 2018;25(6):1110 10.1016/j.jmig.2018.02.026 [DOI] [PubMed] [Google Scholar]
  • 100.Langlois J, Bellemare C, Toulouse J, Wells GA. Spatial abilities and technical skills performance in health care: a systematic review. Med Educ. 2015;49(11):1065-85. doi: 10.1111/medu.12786 [DOI] [PubMed] [Google Scholar]
  • 101.Torkington J, Smith S, Rees B, Darzi A. Optimising the acquisition of laparoscopic skill. Minim Invasive Ther Allied Technol. 2000;9(5):307-9. 10.3109/13645700009061450 [DOI] [Google Scholar]
  • 102.Keehner M. Spatial cognition through the keyhole: how studying a real-world domain can inform basic science--and vice versa. Top Cogn Sci. 2011;3(4):632-47. 10.1111/j.1756-8765.2011.01154.x [DOI] [PubMed] [Google Scholar]
  • 103.Shah J, Buckley D, Frisby J, Darzi A. Depth cue reliance in surgeons and medical students. Surg Endosc. 2003;17(9):1472-4. 10.1007/s00464-002-9178-y [DOI] [PubMed] [Google Scholar]
  • 104.Deary IJ, Graham KS, Maran AGD. Relationships between surgical ability ratings and spatial abilities and personality. J R Coll Surg Edinb. 1992;37(2):74-9. [PubMed] [Google Scholar]
  • 105.Patankar S, Padasalagi G. Three-dimensional versus two-dimensional laparoscopy in urology: A randomized study. Indian J Surg. 33(3):226-9. 10.4103/iju.IJU_418_16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Jardine D, Hoagland B, Perez A, Gessler E. Evaluation of surgical dexterity during the interview day: another factor for consideration. J Grad Med Educ. 2015; 7(2): 234-7. 10.4300/JGME-D-14-00546.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Tendick F, Downes M, Goktekin T, et al. A virtual environment testbed for training laparoscopic surgical skills. Presence. 2000;9(3):236-55. 10.1162/105474600566772 [DOI] [Google Scholar]
  • 108.Yue C. Predicting and influencing training success: spatial abilities and instructional design. Med Educ. 2015;49(11):1054-5. 10.1111/medu.12829 [DOI] [PubMed] [Google Scholar]
  • 109.Lateef F. Simulation-based learning: just like the real thing. J Emerg Trauma Shock. 2010;3(4):348-52. 10.4103/0974-2700.70743 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Dawe S, Windsor J, Cregan P, Hewett P, Madden G. Surgical simulation for training skills transfer to the operating room (update). November 2012. Available at: https://www.surgeons.org/media/18790137/2012-11-21_rpt_surgical_simulation_update.pdf [Accessed August 16, 2017].
  • 111.Moher D, Liberati A, Tezlaff J, Altman D, The PRISMA Group . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2006;6(7):e1000097 10.1371/journal.pmed.1000097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Luursema J, Verwey W, Burie R. Visuospatial ability factors and performance variables in laparoscopic simulator training. Learn Individ Differ 2012; 22(5): 632-8. 10.1016/j.lindif.2012.05.012 [DOI] [Google Scholar]
  • 113.Schlickum M, Hedman L, Fellander-Tsai L. Visual-spatial ability is more important than motivation for novices in surgical simulator training: a preliminary study. Int J Med Educ. 2016;7:56-61. 10.5116/ijme.56b1.1691 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Murdoch J, Bainbridge L, Fisher S, Webster M. Can a simple test of visual-motor skill predict the performance of microsurgeons? J R Coll Surg Edinb. 1994;39(3):150-2. [PubMed] [Google Scholar]
  • 115.Finnegan K, Dorin R, Kiziloz H, Meraney A, Shichman S. Does performance on a validated perceptual ability test predict performance on the davinci skills simulator for robotic naive participants? J Urol. 2013;189(4 Suppl 1):e642-3. 10.1016/j.juro.2013.02.3096 [DOI] [Google Scholar]
  • 116.Hinchcliff E, Green I, Destephano C, et al. Visuospatial aptitude testing differentially predicts simulated surgical skill. J Minim Invasive Gynecol. 2018; 25(6): 1044-50. 10.1016/j.jmig.2018.01.031 [DOI] [PubMed] [Google Scholar]
  • 117.Kolozsvari N, Andalib A, Kaneva P, et al. Sex is not everything: the role of gender in early performance of a fundamental laparoscopic skill. Surg Endosc. 2011; 25: 1037-42. 10.1007/s00464-010-1311-8 [DOI] [PubMed] [Google Scholar]
  • 118.Harrington CM, Dicker P, Traynor O, Kavanagh DO. Visuospatial abilities and fine motor experiences influence acquisition and maintenance of fundamentals of laparoscopic surgery (FLS) task performance. Surg Endosc. 2018;32(11):4639-48. 10.1007/s00464-018-6220-2 [DOI] [PubMed] [Google Scholar]
  • 119.Nugent E, Joyce C, Perez-Abadia G, et al. Factors influencing microsurgical skill acquisition during a dedicated training course. Microsurgery. 2012;32(8):649-56. 10.1002/micr.22047 [DOI] [PubMed] [Google Scholar]
  • 120.Van Herzeele I, O'Donoghue K, Aggarwal R, Vermassen F, Darzi A, Cheshire N. Visuospatial and psychomotor aptitude predicts endovascular performance of inexperienced individuals on a virtual reality simulator. J Vasc Surg. 2010;51(4):1035-42. 10.1016/j.jvs.2009.11.059 [DOI] [PubMed] [Google Scholar]
  • 121.Gallagher HJ, Cowie R, Crothers I, Jordan-Black JA, Satava RM. PicSOr: an objective test of perceptual skill that predicts laparoscopic technical skill in three initial studies of laparoscopic performance. Surg Endosc. 2003;17:1468-71. 10.1007/s00464-002-8569-4 [DOI] [PubMed] [Google Scholar]
  • 122.Schijven M, Jakimowicz J, Carter F. How to select aspirant laparoscopic surgical trainees: establishing concurrent validity comparing Xitact LS500 index performance scores with standardized psychomotor aptitude test battery scores. J Surg Res. 2004;121:112-9. 10.1016/j.jss.2004.02.005 [DOI] [PubMed] [Google Scholar]
  • 123.Kramp K, Van Det N, Hoff C, Veeger N, ten Cate Hoedemaker H, Pierie J. The predictive value of aptitude assessment in laparoscopic surgery: a meta-analysis. Med Educ. 2016;50(4):409-27. 10.1111/medu.12945 [DOI] [PubMed] [Google Scholar]
  • 124.Enochsson L, Isaksson B, Tour R, et al. Visuospatial skills and computer game experience influence the performance of virtual endoscopy. J Gastrointest Surg. 2004;8(7):874-80. 10.1016/j.gassur.2004.06.015 [DOI] [PubMed] [Google Scholar]
  • 125.Steele R, Walder C, Herbert M. Psychomotor testing and the ability to perform an anastomosis in junior surgical trainees. Br J Surg. 1992;79:1065-7. 10.1002/bjs.1800791025 [DOI] [PubMed] [Google Scholar]
  • 126.Rosenthal R, Geuss S, Dell-Kuster S, Schafer J, Hahnloser D, Demartines N. Video gaming in children improves performance on a virtual reality trainer but does not yet make a laparoscopic surgeon. Surg Innov. 2011;18(2):160-70. 10.1177/1553350610392064. [DOI] [PubMed] [Google Scholar]

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