Validation of a Tool-Based Visual Anorectal Examination Advanced Simulator for the Early Detection of Colorectal Cancer.

Rectal examination through proctoscopy or rigid sigmoidoscopy is a common investigation in clinical practice. It is an important diagnostic tool for the workup and management of anorectal pathologies. Performing the examination can be daunting not only for patients but also for junior doctors. There are associated risks with the procedure, such as pain, diagnostic failure, and perforation of the bowel. Simulation-based training is recognised as an important adjunct in clinical education. It allows students and doctors to practice skills and techniques at their own pace in a risk-free environment. These skills can then be transferred to and developed further in clinical practice. There is extensive research published regarding the role of simulation-based training in endoscopy, however, we identified no published study regarding simulation-based training in rigid sigmoidoscopy or proctoscopy. This study aims to establish the initial face, content, and construct validity of a tool-based visual anorectal examination advanced simulator model for proctoscopy and rigid sigmoidoscopy. This innovative, highly realistic simulated environment aims to enhance the training of healthcare professionals and improve the efficiency of detecting and diagnosing distal colorectal disease.

Medical education and physician training in the era of artificial intelligence.

ABSTRACT: With the rise of generative artificial intelligence (AI) and AI-powered chatbots, the landscape of medicine and healthcare is on the brink of significant transformation. This perspective delves into the prospective influence of AI on medical education, residency training and the continuing education of attending physicians or consultants. We begin by highlighting the constraints of the current education model, challenges in limited faculty, uniformity amidst burgeoning medical knowledge and the limitations in 'traditional' linear knowledge acquisition. We introduce 'AI-assisted' and 'AI-integrated' paradigms for medical education and physician training, targeting a more universal, accessible, high-quality and interconnected educational journey. We differentiate between essential knowledge for all physicians, specialised insights for clinician-scientists and mastery-level proficiency for clinician-computer scientists. With the transformative potential of AI in healthcare and service delivery, it is poised to reshape the pedagogy of medical education and residency training.

Harnessing the potential of large language models in medical education: promise and pitfalls.

OBJECTIVES: To provide balanced consideration of the opportunities and challenges associated with integrating Large Language Models (LLMs) throughout the medical school continuum. PROCESS: Narrative review of published literature contextualized by current reports of LLM application in medical education. CONCLUSIONS: LLMs like OpenAI's ChatGPT can potentially revolutionize traditional teaching methodologies. LLMs offer several potential advantages to students, including direct access to vast information, facilitation of personalized learning experiences, and enhancement of clinical skills development. For faculty and instructors, LLMs can facilitate innovative approaches to teaching complex medical concepts and fostering student engagement. Notable challenges of LLMs integration include the risk of fostering academic misconduct, inadvertent overreliance on AI, potential dilution of critical thinking skills, concerns regarding the accuracy and reliability of LLM-generated content, and the possible implications on teaching staff.

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study.

BACKGROUND: In the United Kingdom, women aged 50 to 70 years are invited to undergo mammography. However, 10% of invasive breast cancers occur in women aged ≤45 years, representing an unmet need for young women. Identifying a suitable screening modality for this population is challenging; mammography is insufficiently sensitive, whereas alternative diagnostic methods are invasive or costly. Robotic clinical breast examination (R-CBE)-using soft robotic technology and machine learning for fully automated clinical breast examination-is a theoretically promising screening modality with early prototypes under development. Understanding the perspectives of potential users and partnering with patients in the design process from the outset is essential for ensuring the patient-centered design and implementation of this technology. OBJECTIVE: This study investigated the attitudes and perspectives of women regarding the use of soft robotics and intelligent systems in breast cancer screening. It aimed to determine whether such technology is theoretically acceptable to potential users and identify aspects of the technology and implementation system that are priorities for patients, allowing these to be integrated into technology design. METHODS: This study used a mixed methods design. We conducted a 30-minute web-based survey with 155 women in the United Kingdom. The survey comprised an overview of the proposed concept followed by 5 open-ended questions and 17 closed questions. Respondents were recruited through a web-based survey linked to the Cancer Research United Kingdom patient involvement opportunities web page and distributed through research networks' mailing lists. Qualitative data generated via the open-ended questions were analyzed using thematic analysis. Quantitative data were analyzed using 2-sample Kolmogorov-Smirnov tests, 1-tailed t tests, and Pearson coefficients. RESULTS: Most respondents (143/155, 92.3%) indicated that they would definitely or probably use R-CBE, with 82.6% (128/155) willing to be examined for up to 15 minutes. The most popular location for R-CBE was at a primary care setting, whereas the most accepted method for receiving the results was an on-screen display (with an option to print information) immediately after the examination. Thematic analysis of free-text responses identified the following 7 themes: women perceive that R-CBE has the potential to address limitations in current screening services; R-CBE may facilitate increased user choice and autonomy; ethical motivations for supporting R-CBE development; accuracy (and users' perceptions of accuracy) is essential; results management with clear communication is a priority for users; device usability is important; and integration with health services is key. CONCLUSIONS: There is a high potential for the acceptance of R-CBE in its target user group and a high concordance between user expectations and technological feasibility. Early patient participation in the design process allowed the authors to identify key development priorities for ensuring that this new technology meets the needs of users. Ongoing patient and public involvement at each development stage is essential.

Readiness of Health Care Professionals in Singapore to Teach Online and Their Technology-Related Teaching Needs: Quantitative Cross-sectional Pilot Study.

BACKGROUND: With the increasing acceptance of face-to-face classes transitioning to web-based learning due to COVID-19, there is an increasing need to have educators trained and equipped to teach online. The ability to teach in-person may not necessarily mean that one is ready teach in a web-based environment. OBJECTIVE: The objective of our study was to investigate the readiness of health care professionals in Singapore to teach online and their technology-related teaching needs. METHODS: This was a quantitative cross-sectional pilot study conducted among health care administrative staff and professionals in medicine, nursing, allied health, and dentistry. Participants were recruited via an open invitation email to all staff members of Singapore's largest group of health care institutions. Data were collected using a web-based questionnaire. Differences in the readiness of the professionals to teach online were analyzed using analysis of variance, and a 1-sided independent sample t test was performed to analyze the differences between respondents younger than 40 years and those older than 41 years. RESULTS: A total of 169 responses was analyzed. Full-time academic faculty members scored the highest for readiness to teach online (2.97), followed by nursing professionals (2.91), medicine professionals (2.88), administrative staff members (2.83), and allied health professionals (2.76). However, there was no statistically significant difference (P=.77) among all the respondents in their readiness to teach online. There was an agreement among all professionals in their need for software tools to teach; in particular, there was a significant difference in the software needs among the professionals for streaming videos (P=.01). There was no statistically significant difference in the readiness to teach online between those younger than 40 years and those older than 41 years (P=.48). CONCLUSIONS: Our study shows that there are still some gaps in terms of readiness to teach online among health care professionals. Our findings can be used by policy makers and faculty developers to identify opportunities for development among their educators so that they are ready to teach online with the appropriate software tools.

Metabolismo de los esfingolípidos y su relación con las enfermedades cardiovasculares, renales y metabólicas / Sphingolipid metabolism and its relationship with cardiovascular, renal and metabolic diseases

Resumen Los esfingolípidos (esfingomielina, glucolípidos y gangliósidos) se localizan en las membranas celulares, el plasma y las lipoproteínas. En pacientes con enfermedades cardiovasculares, renales y metabólicas, el perfil de los esfingolípidos y sus metabolitos (ceramida, esfingosina y esfingosina-1-fosfato) se modifica, y estos cambios pueden explicar las alteraciones en algunas respuestas celulares, como la apoptosis. Además, se ha sugerido que la esfingosina y la esfingosina-1-fosfato previenen la COVID-19. En esta revisión también se mencionan brevemente las técnicas que permiten el estudio de los esfingolípidos y sus metabolitos.

Abstract Sphingolipids (sphingomyelin, glycolipids, gangliosides) are located in cell membranes, plasma, and lipoproteins. In patients with cardiovascular, renal, and metabolic diseases, the profile of sphingolipids and their metabolites (ceramide, sphingosine, and sphingosine-1-phosphate) is modified, and these changes may explain the alterations in some cellular responses such as apoptosis. Furthermore, sphingosine and sphingosine-1-phosphate have been suggested to prevent COVID-19. This review also briefly mentions the techniques that allow us to study sphingolipids and their metabolites.

Sphingolipid metabolism and its relationship with cardiovascular, renal and metabolic diseases.

Sphingolipids (sphingomyelin, glycolipids, gangliosides) are located in cell membranes, plasma, and lipoproteins. In patients with cardiovascular, renal, and metabolic diseases, the profile of sphingolipids and their metabolites (ceramide, sphingosine, and sphingosine-1-phosphate) is modified, and these changes may explain the alterations in some cellular responses such as apoptosis. Furthermore, sphingosine and sphingosine-1-phosphate have been suggested to prevent COVID-19. This review also briefly mentions the techniques that allow us to study sphingolipids and their metabolites.

Los esfingolípidos (esfingomielina, glucolípidos y gangliósidos) se localizan en las membranas celulares, el plasma y las lipoproteínas. En pacientes con enfermedades cardiovasculares, renales y metabólicas, el perfil de los esfingolípidos y sus metabolitos (ceramida, esfingosina y esfingosina-1-fosfato) se modifica, y estos cambios pueden explicar las alteraciones en algunas respuestas celulares, como la apoptosis. Además, se ha sugerido que la esfingosina y la esfingosina-1-fosfato previenen la COVID-19. En esta revisión también se mencionan brevemente las técnicas que permiten el estudio de los esfingolípidos y sus metabolitos.

Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance.

Prosthetic hand control research typically focuses on developing increasingly complex controllers to achieve diminishing returns in pattern recognition of muscle activity signals, making models less suitable for user calibration. Some works have investigated transfer learning to alleviate this, but such approaches increase model size dramatically-thus reducing their suitability for implementation on real prostheses. In this work, we propose a novel, non-parametric controller that uses the Wasserstein distance to compare the distribution of incoming signals to those of a set of reference distributions, with the intended action classified as the closest distribution. This controller requires only a single capture of data per reference distribution, making calibration almost instantaneous. Preliminary experiments building a reference library show that, in theory, users are able to produce up to 9 distinguishable muscle activity patterns. However, in practice, variation when repeating actions reduces this. Controller accuracy results show that 10 non-disabled and 1 disabled participant were able to use the controller with a maximum of two recalibrations to perform 6 actions at an average accuracy of 89.9% and 86.7% respectively. Practical experiments show that the controller allows users to complete all tasks of the Jebsen-Taylor Hand Function Test, although the task of picking and placing small common objects required on average more time than the protocol's maximum time.

Mycofumigation of postharvest blueberries with volatile compounds from Trichoderma atroviride IC-11 is a promising tool to control rots caused by Botrytis cinerea.

Botrytis cinerea, the causal agent of the gray mold, is a filamentous fungus that infects blueberries and can cause important production losses in postharvest storage. Considering that the use of synthetic fungicides is not allowed on blueberries in postharvest conditions, alternative and natural strategies are needed to control gray mold. The objective of this work was to evaluate the capability of volatile organic compounds (VOCs) produced by Trichoderma atroviride IC-11 to control B. cinerea growth in blueberries after harvest. These VOCs inhibited almost completely B. cinerea growth in vitro. The most abundant volatile compound was 6-pentyl-α-pyrone (6PP). In vitro assays with pure 6PP confirmed its antifungal activity. The incidence of gray mold was evaluated in blueberries inoculated with B. cinerea and exposed to volatiles of T. atroviride IC-11. Gray mold incidence among those stored in air at 20 °C for 14 days was 100%, while the incidence among the volatile-treated fruit was 17%. Gray mold incidence among those stored in air at 4 °C for 31 days was 82%, while the incidence among the volatile-treated fruit was 11%. T. atroviride IC-11 VOCs inhibited mycelial growth and conidia germination of B. cinerea. The binding of VOCs to the surface of hyphae caused their vacuolation and deterioration. Selective cytotoxicity of 6PP on B. cinerea was observed but not on human intestinal cells at specific concentrations that controlled gray mold. The postharvest mycofumigation of blueberries with T. atroviride IC-11 VOCs is a promising approach to protect these fruits from gray mold.

The current and possible future role of 3D modelling within oesophagogastric surgery: a scoping review.

BACKGROUND: 3D reconstruction technology could revolutionise medicine. Within surgery, 3D reconstruction has a growing role in operative planning and procedures, surgical education and training as well as patient engagement. Whilst virtual and 3D printed models are already used in many surgical specialities, oesophagogastric surgery has been slow in their adoption. Therefore, the authors undertook a scoping review to clarify the current and future roles of 3D modelling in oesophagogastric surgery, highlighting gaps in the literature and implications for future research. METHODS: A scoping review protocol was developed using a comprehensive search strategy based on internationally accepted guidelines and tailored for key databases (MEDLINE, Embase, Elsevier Scopus and ISI Web of Science). This is available through the Open Science Framework (osf.io/ta789) and was published in a peer-reviewed journal. Included studies underwent screening and full text review before inclusion. A thematic analysis was performed using pre-determined overarching themes: (i) surgical training and education, (ii) patient education and engagement, and (iii) operative planning and surgical practice. Where applicable, subthemes were generated. RESULTS: A total of 56 papers were included. Most research was low-grade with 88% (n = 49) of publications at or below level III evidence. No randomised control trials or systematic reviews were found. Most literature (86%, n = 48) explored 3D reconstruction within operative planning. These were divided into subthemes of pre-operative (77%, n = 43) and intra-operative guidance (9%, n = 5). Few papers reported on surgical training and education (14%, n = 8), and were evenly subcategorised into virtual reality simulation (7%, n = 4) and anatomical teaching (7%, n = 4). No studies utilising 3D modelling for patient engagement and education were found. CONCLUSION: The use of 3D reconstruction is in its infancy in oesophagogastric surgery. The quality of evidence is low and key themes, such as patient engagement and education, remain unexplored. Without high quality research evaluating the application and benefits of 3D modelling, oesophagogastric surgery may be left behind.

Development and validation of a novel 3D-printed simulation model for open oesophageal atresia and tracheo-oesophageal fistula repair.

BACKGROUND: The role of simulation training in paediatric surgery is expanding as more simulation devices are designed and validated. We aimed to conduct a training needs assessment of UK paediatric surgical trainees to prioritise procedures for simulation, and to validate a novel 3D-printed simulation model for oesophageal atresia and tracheo-oesophageal fistula (OA-TOF) repair. METHODS: A questionnaire was sent to UK trainee paediatric surgeons surveying the availability and utility of simulation. The operation ranked as most useful to simulate was OA-TOF repair. 3D-printing techniques were used to build an OA-TOF model. Content, face and construct validity was assessed by 40 paediatric surgeons of varying experience. RESULTS: Thirty-four paediatric surgeons completed the survey; 79% had access to surgical simulation at least monthly, and 47% had access to paediatric-specific resources. Perceived utility of simulation was 4.1/5. Validation of open OA-TOF repair was conducted by 40 surgeons. Participants rated the model as useful 4.9/5. Anatomical realism was scored 4.2/5 and surgical realism 3.9/5. The model was able to discriminate between experienced and inexperienced surgeons. CONCLUSION: UK paediatric surgeons voted OA-TOF repair as the most useful procedure to simulate. In response we have developed and validated an affordable 3D-printed simulation model for open OA-TOF repair.

[Update on neuroendocrine tumors]. / Tumores Neuroendocrinos: un desafío transversal.

Neuroendocrine Tumors (NETs) encompass a wide variety of tumors arising from neuroendocrine cells, which produce bioactive substances. The incidence of NETs increased significantly lately, becoming one of the most common tumors of the digestive tract. Their clinical presentation is as diverse as their capacity for hormone production. Carcinoid syndrome is the most common hormonal syndrome produced by NETs and is characterized by diarrhea, flushing and cardiac valvular lesions. New research brought multiple changes in the classification of these neoplasms and a new understanding about their diagnosis and treatment, promoting a multidisciplinary approach. Somatostatin analogues, radiation, biological, and cytotoxic drugs have improved the prognosis of these patients, which entails a great challenge for healthcare providers.

Current and possible future role of 3D modelling within oesophagogastric surgery: a scoping review protocol.

INTRODUCTION: Three-dimensional (3D) reconstruction describes the generation of either virtual or physically printed anatomically accurate 3D models from two-dimensional medical images. Their implementation has revolutionised medical practice. Within surgery, key applications include growing roles in operative planning and procedures, surgical education and training, as well as patient engagement and education. In comparison to other surgical specialties, oesophagogastric surgery has been slow in their adoption of this technology. Herein the authors outline a scoping review protocol that aims to analyse the current role of 3D modelling in oesophagogastric surgery and highlight any unexplored avenues for future research. METHODS AND ANALYSIS: The protocol was generated using internationally accepted methodological frameworks. A succinct primary question was devised, and a comprehensive search strategy was developed for key databases (MEDLINE, Embase, Elsevier Scopus and ISI Web of Science). These were searched from their inception to 1 June 2020. Reference lists will be reviewed by hand and grey literature identified using OpenGrey and Grey Literature Report. The protocol was registered to the Open Science Framework (osf.io/ta789).Two independent reviewers will screen titles, abstracts and perform full-text reviews for study selection. There will be no methodological quality assessment to ensure a full thematic analysis is possible. A data charting tool will be created by the investigatory team. Results will be analysed to generate descriptive numerical tabular results and a thematic analysis will be performed. ETHICS AND DISSEMINATION: Ethical approval was not required for the collection and analysis of the published data. The scoping review report will be disseminated through a peer-reviewed publication and international conferences. REGISTRATION DETAILS: The scoping review protocol has been registered on the Open Science Framework (https://osf.io/ta789).

Evaluation of different approaches for missing data imputation on features associated to genomic data.

BACKGROUND: Missing data is a common issue in different fields, such as electronics, image processing, medical records and genomics. They can limit or even bias the posterior analysis. The data collection process can lead to different distribution, frequency, and structure of missing data points. They can be classified into four categories: Structurally Missing Data (SMD), Missing Completely At Random (MCAR), Missing At Random (MAR) and Missing Not At Random (MNAR). For the three later, and in the context of genomic data (especially non-coding data), we will discuss six imputation approaches using 31,245 variants collected from ClinVar and annotated with 13 genome-wide features. RESULTS: Random Forest and kNN algorithms showed the best performance in the evaluated dataset. Additionally, some features show robust imputation regardless of the algorithm (e.g. conservation scores phyloP7 and phyloP20), while other features show poor imputation across algorithms (e.g. PhasCons). We also developed an R package that helps to test which imputation method is the best for a particular data set. CONCLUSIONS: We found that Random Forest and kNN are the best imputation method for genomics data, including non-coding variants. Since Random Forest is computationally more challenging, kNN remains a more realistic approach. Future work on variant prioritization thru genomic screening tests could largely profit from this methodology.

Virtual Reality Simulator for Pediatric Laparoscopic Inguinal Hernia Repair.

Purpose: Due to the small space environment, the learning curve of pediatric laparoscopic procedures is steep and requires excellent procedural skills. These are mainly gained through an apprenticeship on real patients. Computer-based virtual reality (VR) simulators offer a safe, cost-effective, and configurable training environment free from ethical and patient safety issues. Materials and Methods: We have developed a prototype VR simulator for core manual skills training for pediatric laparoscopic hernia repair. The simulator currently consists of a hernia suturing task on a virtual nonanatomic trainer at a real pediatric scale. Results: A simulation realism validation study was carried out by obtaining subjective feedback (face and content validity) through a questionnaire from 36 pediatric surgeons. The overall simulation realism was on average marked 3.08 on a 5-point Likert scale (1: "very unrealistic" and 5: "very realistic"). The participants were most satisfied with the visual realism (3.33) and most critical about the behavior of virtual tissue. The simulator showed good content validity; its usefulness as a training tool for hernia repair, suturing in general, and in learning fundamental laparoscopic skills was marked 3.61, 3.64, and 3.89, respectively. Conclusions: VR simulation of pediatric laparoscopic procedures can contribute to surgical training and improve the educational experience without putting our youngest patients at risk. This simulator is a first prototype, and the initial results indicate that it provides promising foundations for further development. More formal and larger studies such as construct validity and transfer of skills are envisaged as the prototype is developed further.

Tumores Neuroendocrinos: un desafío transversal / Update on neuroendocrine tumors

Neuroendocrine Tumors (NETs) encompass a wide variety of tumors arising from neuroendocrine cells, which produce bioactive substances. The incidence of NETs increased significantly lately, becoming one of the most common tumors of the digestive tract. Their clinical presentation is as diverse as their capacity for hormone production. Carcinoid syndrome is the most common hormonal syndrome produced by NETs and is characterized by diarrhea, flushing and cardiac valvular lesions. New research brought multiple changes in the classification of these neoplasms and a new understanding about their diagnosis and treatment, promoting a multidisciplinary approach. Somatostatin analogues, radiation, biological, and cytotoxic drugs have improved the prognosis of these patients, which entails a great challenge for healthcare providers.

Effectiveness of technology-enhanced simulation in teaching digital rectal examination: a systematic review narrative synthesis.

Background: Digital rectal examination (DRE) is a challenging examination to learn. Objective: To synthesise evidence regarding the effectiveness of technology-enhanced simulation (TES) for acquiring DRE skills. Study selection: EMBASE, Medline, CINAHL, Cochrane, Web of Knowledge (Science and Social Science), Scopus and IEEE Xplore were searched; the last search was performed on 3 April 2019. Included were original research studies evaluating TES to teach DRE. Data were abstracted on methodological quality, participants, instructional design and outcomes; a descriptive synthesis was performed. Quality was assessed using a modified Medical Education Research Study Quality Instrument. The study design domain was modified by scoring the papers based on (1) evaluation of risk of bias for randomised controlled trials, (2) description of participants and (3) assessment of robustness and degree of simulation fidelity of the assessments used to evaluate learning. Findings: 863 articles were screened; 12 were eligible, enrolling 1507 prequalified medical/clinical students and 20 qualified doctors. For skill acquisition, role player was statistically significantly superior to a static manikin (2 studies). For knowledge acquisition, manikin use was significantly superior to role player (1 study); 2 studies showed no difference. For confidence, manikin use was significantly superior to no manikin (4 studies). For comfort, manikin use was significantly superior to no manikin (2 studies). For anxiety, role player was significantly superior to manikin (1 study).Median overall quality score (QS) was 48% (27-62). Highest median QS was 73% (33-80) for data analysis; lowest median QS was 20% (7-40) for the validity of instrument. Six papers scored over 50% of the maximum score for overall quality. Conclusions: TES training is associated with improved DRE skills and should be used more widely.

Qualitative evaluation of asthma services for young people: a sequential simulation study.

Background: Asthma is the most common chronic disease of childhood and an important preventable cause of mortality in children and young people (CYP). Few studies have brought together CYP and health professionals to understand the patient perspective of routine asthma care. We sought to explore how young people engage with routine asthma care in North West London through sequential simulation. Method: We designed a sequential simulation focusing on routine asthma management in young people aged 12-18. A 20 min simulation was developed with four young people to depict typical interactions with school nurses and primary care services. This was performed to a mixed audience of young people, general practitioners (GPs), paediatricians, school nurses and commissioners. Young people were invited to attend by their GPs and through social media channels. Attendees participated in audio-recorded, facilitated discussions exploring the themes arising from the simulation. Recordings were transcribed and subjected to thematic analysis. Results: 37 people attended the sequential simulation. Themes arising from postsimulation discussions included recognition of chaotic family lifestyles as a key barrier to accessing care; the importance of strong communication between multidisciplinary team professionals and recognition of the role school nurses can play in delivering routine asthma care. Conclusion: Sequential simulation allows healthcare providers to understand routine asthma care for CYP from the patient perspective. We propose improved integration of school nurses into routine asthma care and regular multidisciplinary team meetings to reduce fragmentation, promote interprofessional education and address the widespread professional complacency towards this lethal condition.

Current and future role of three-dimensional modelling technology in rectal cancer surgery: A systematic review.

BACKGROUND: Three-dimensional (3D) modelling technology translates the patient-specific anatomical information derived from two-dimensional radiological images into virtual or physical 3D models, which more closely resemble the complex environment encountered during surgery. It has been successfully applied to surgical planning and navigation, as well as surgical training and patient education in several surgical specialties, but its uptake lags behind in colorectal surgery. Rectal cancer surgery poses specific challenges due to the complex anatomy of the pelvis, which is difficult to comprehend and visualise. AIM: To review the current and emerging applications of the 3D models, both virtual and physical, in rectal cancer surgery. METHODS: Medline/PubMed, Embase and Scopus databases were searched using the keywords "rectal surgery", "colorectal surgery", "three-dimensional", "3D", "modelling", "3D printing", "surgical planning", "surgical navigation", "surgical education", "patient education" to identify the eligible full-text studies published in English between 2001 and 2020. Reference list from each article was manually reviewed to identify additional relevant papers. The conference abstracts, animal and cadaveric studies and studies describing 3D pelvimetry or radiotherapy planning were excluded. Data were extracted from the retrieved manuscripts and summarised in a descriptive way. The manuscript was prepared and revised in accordance with PRISMA 2009 checklist. RESULTS: Sixteen studies, including 9 feasibility studies, were included in the systematic review. The studies were classified into four categories: feasibility of the use of 3D modelling technology in rectal cancer surgery, preoperative planning and intraoperative navigation, surgical education and surgical device design. Thirteen studies used virtual models, one 3D printed model and 2 both types of models. The construction of virtual and physical models depicting the normal pelvic anatomy and rectal cancer, was shown to be feasible. Within the clinical context, 3D models were used to identify vascular anomalies, for surgical planning and navigation in lateral pelvic wall lymph node dissection and in management of recurrent rectal cancer. Both physical and virtual 3D models were found to be valuable in surgical education, with a preference for 3D printed models. The main limitations of the current technology identified in the studies were related to the restrictions of the segmentation process and the lack of 3D printing materials that could mimic the soft and deformable tissues. CONCLUSION: 3D modelling technology has potential to be utilised in multiple aspects of rectal cancer surgery, however, it is still at the experimental stage of application in this setting.

Toward a Common Framework and Database of Materials for Soft Robotics.

To advance the field of soft robotics, a unified database of material constitutive models and experimental characterizations is of paramount importance. This will facilitate the use of finite element analysis to simulate their behavior and optimize the design of soft-bodied robots. Samples from seventeen elastomers, namely Body Double™ SILK, Dragon Skin™ 10 MEDIUM, Dragon Skin 20, Dragon Skin 30, Dragon Skin FX-Pro, Dragon Skin FX-Pro + Slacker, Ecoflex™ 00-10, Ecoflex 00-30, Ecoflex 00-50, Rebound™ 25, Mold Star™ 16 FAST, Mold Star 20T, SORTA-Clear™ 40, RTV615, PlatSil® Gel-10, Psycho Paint®, and SOLOPLAST 150318, were subjected to uniaxial tensile tests according to the ASTM D412 standard. Sample preparation and tensile test parameters are described in detail. The tensile test data are used to derive parameters for hyperelastic material models using nonlinear least-squares methods, which are provided to the reader. This article presents the mechanical characterization and the resulting material properties for a wide set of commercially available hyperelastic materials, many of which are recognized and commonly applied in the field of soft robotics, together with some that have never been characterized. The experimental raw data and the algorithms used to determine material parameters are shared on the Soft Robotics Materials Database GitHub repository to enable accessibility, as well as future contributions from the soft robotics community. The presented database is aimed at aiding soft roboticists in designing and modeling soft robots while providing a starting point for future material characterizations related to soft robotics research.