Mini-invasive surgery-for example, laparoscopy-has challenged surgeons' skills by extending their usual haptic space and displaying indirect visual feedback through a screen. This may require new mental abilities, including spatial orientation and mental representation. This study aimed to test the effect of cognitive training based on motor imagery (MI) and action observation (AO) on surgical skills. A total of 28 postgraduate residents in surgery took part in our study and were randomly distributed into 1 of the 3 following groups: (1) the basic surgical skill, which is a short 2-day laparoscopic course + MI + AO group; (2) the basic surgical skill group; and (3) the control group. The MI + AO group underwent additional cognitive training, whereas the basic surgical skill group performed neutral activity during the same time. The laparoscopic suturing and knot tying performance as well as spatial ability and mental workload were assessed before and after the training period. We did not observe an effect of cognitive training on the laparoscopic performance. However, the basic surgical skill group significantly improved spatial orientation performance and rated lower mental workload, whereas the 2 others exhibited lower performance in a mental rotation test. Thus, actual and cognitive training pooled together during a short training period elicited too high a strain, thus limiting potential improvements. Because MI and AO already showed positive outcomes on surgical skills, this issue may, thus, be mitigated according to our specific learning conditions. Distributed learning may possibly better divide and share the strain associated with new surgical skills learning.

Background There is a general agreement upon the importance of acquiring laparoscopic skills outside the operation room through simulation-based training. However, high-fidelity simulators are cost-prohibitive and elicit a high cognitive load, while low-fidelity simulators lack effective feedback. This paper describes a low-fidelity simulator bridging the existing gaps with affine velocity as a new assessment variable. Primary validation results are also presented. Methods Psycho-motor skills and engineering key features have been considered e.g. haptic feedback and complementary assessment variables. Seventy-seven participants tested the simulator (17 expert surgeons, 12 intermediates, 28 inexperienced interns, and 20 novices). The content validity was tested with a 10-point Likert scale and the discriminative power by comparing the four groups’ performance over two sessions. Results Participants rated the simulator positively, from 7.25 to 7.72 out of 10 (mean, 7.57). Experts and intermediates performed faster with fewer errors (collisions) than inexperienced interns and novices. The affine velocity brought additional differentiations, especially between interns and novices. Conclusion This affordable haptic simulator makes it possible to learn and train laparoscopic techniques. Self-assessment of basic skills was easily performed with slight additional cost compared to low-fidelity simulators. It could be a good trade-off among the products currently used for surgeons' training.

This paper introduces the development of exercises to be embedded in a lightweight laparoscopic haptic simulator to help surgeons starting their training to Minimal Invasive Surgery (MIS) gestures. These exercises were created by observing professionals in operation rooms and by isolating key gestures, which have been combined to create desired trajectories with a slow learning curve. These exercises combine memory, new gestures, new environments and new visual feedback so that the trainees' cognitive load remains low. This favors an effective training. Hence, the simulator displays a simple 3D virtual environment in order to focus on the gestures and trajectories, performed on an haptic device by means of real MIS tool handles. Its ludic dimension, which make it a Serious Game, should help users to make progress in their first gesture training in order to continue on more evolved medical simulators. This paper introduces the software architecture analysis and the methods used for creating the exercises.

nuclease protection method provides the possibility to analyze minimal amount of formalin fixed paraffin embedded (FFPE) tissue without previous extraction steps. We tested this technique and compared it to the traditional methods RNA sequencing (RNAseq) and immunohistochemistry (IHC). Method: The nuclease protection method (HTGmolecular) in combination with next-generation sequencing was used to measure gene expression of 549 immuneoncology genes in FFPE samples from NSCLC-patients. Standardized minimal tissue amounts were used for 12 samples (4 tissue circles, 4mm thick, 1 mm in diameter, from a tissue microarray). Of these tissue sections also two corresponding original tumor biopsy were analyzed. RNA sequencing data was available from a corresponding fresh frozen tissue as well as IHC annotation of the immune markers FOXP3, CDH1, CD20, CD44, CD3, CD4, CD8 and PD-L1 on the analyzed tissue cores. Result: Of the 12 core preparations, 9 samples were successfully analyzed and fulfilled the quality criteria in the first run, the three others in a second re-analysis. The mRNA expression profiles of 12 samples measured with HTG on minute FFPE samples and RNAseq from fresh frozen tissue showed most often good correlations (r¼0.41-0.87). HTG based mRNA data correlated with IHC expression for 5 of 8 genes (PD-L1 r¼0.76, CD44 r¼0.75, CDH1 r¼0.61, CD8 r¼0.60, CD4 r¼0.54). RNAseq data showed good correlations with IHC for only 3 of 8 genes (CD44 r¼0.91, PD-L1 r¼0.86, CD8 r¼0.67). Also, the HTG data of the two biopsies demonstrated very good correlations to the corresponding tissue cores and the RNAseq data (r>0.91). Finally, technical replicates of 10 of the minimal tissue core samples measured in different laboratories revealed relatively good concordance (r¼0.71-0.94). Conclusion: The applied nuclease protection technique opens the possibility to multiplex and analyze the immune profile of 549 genes in minimal diagnostic biopsies with a high success rate. This is of great value for clinical use or in NSCLC clinical studies where the amount of tissue often is a limiting factor in companion diagnostics.

Background: General agreement exists upon the importance of acquiring laparoscopic skills outside the operation room. During the past two decades, simulation-based training and simulators have been more extensively used in surgeons’ training. Nevertheless learning through simulation-based systems is hindered by several flaws. High-fidelity simulators are cost-prohibitive which limits training opportunities. Their use also elicits a high cognitive load. Low-fidelity simulators lack in haptic, direct and summative feedback. Our goal is to develop a new low fidelity simulator integrating effective learning features as a new assessment variable while limiting the associated costs. We also aim at assessing its primary validity. Methods: We engineered a low fidelity simulator for teaching basic laparoscopic skills taking into account psychomotor skills, direct and summative feedback and engineering key features (haptic feedback and complementary assessment variables). Afterward, 77 participants with 4 different surgical skill levels (17 experts; 12 intermediates; 28 inexperienced interns and 20 novices) tested the simulator. We checked the content validity using a 10 point Likert scale. We also assessed the simulator discriminative power by comparing the 4 groups’ performance over two sessions. To do so, we used 3 variables: time, number of errors (collisions) and affine velocity. Results: The content validation mean value score was 7.57/10. The statistical analysis yielded performance discrepancies on the selected variables among the groups (p<0.001). Conclusion: We developed an affordable and validated simulator for testing and learning basic laparoscopic skills. The results exhibit three levels of performance on the selected variables. Experts and intermediates outperformed the inexperienced interns who in turn outperformed the novices. Results show that the embedded evaluation variables are complimentary and provide realistic results. The inclusion of a new variable and, meanwhile, haptic, direct and summative feedback is innovative regarding low-fidelity simulators. Limitations and implementation conditions of the simulator in the surgical curricula are discussed.