Quantifying hypoxia with diffuse reflectance spectroscopy for advanced prognostication and real-time response monitoring in rectal cancer: an in vivo feasibility study

Tumour hypoxia is a critical factor in treatment failure and resistance, and its accurate measurement with diffuse reflectance spectroscopy (DRS) could be used for prognostic and response monitoring purposes. In this in vivo characterisation study, we sequentially measured oxygenation trends over the entire course of tumour growth in mice using a multi-depth, fibre-optic DRS probe. Results demonstrated a clear downtrend in oxygenation over time. This progression was not always linear, with significant heterogeneity over time and between mice. Our findings will be further validated against gold standards prior to investigating whether hypoxia can be used to predict radiotherapy responses

Automated task load detection with electroencephalography: towards passive brain–computer interfacing in robotic surgery

Automatic detection of the current task load of a surgeon in the theatre in real time could provide helpful information, to be used in supportive systems. For example, such information may enable the system to automatically support the surgeon when critical or stressful periods are detected, or to communicate to others when a surgeon is engaged in a complex maneuver and should not be disturbed. Passive brain–computer interfaces (BCI) infer changes in cognitive and affective state by monitoring and interpreting ongoing brain activity recorded via an electroencephalogram. The resulting information can then be used to automatically adapt a technological system to the human user. So far, passive BCI have mostly been investigated in laboratory settings, even though they are intended to be applied in real-world settings. In this study, a passive BCI was used to assess changes in task load of skilled surgeons performing both simple and complex surgical training tasks. Results indicate that the introduced methodology can reliably and continuously detect changes in task load in this realistic environment

Development and implementation of the Structured Training Trainer Assessment Report (STTAR) in the English National Training Programme for laparoscopic colorectal surgery

Background: There is a lack of educational tools available for surgical teaching critique, particularly for advanced laparoscopic surgery. The aim was to develop and implement a tool that assesses training quality and structures feedback for trainers in the English National Training Programme for laparoscopic colorectal surgery. Methods: Semi-structured interviews were performed and analysed, and items were extracted. Through the Delphi process, essential items pertaining to desirable trainer characteristics, training structure and feedback were determined. An assessment tool (Structured Training Trainer Assessment Report—STTAR) was developed and tested for feasibility, acceptability and educational impact. Results: Interview transcripts (29 surgical trainers, 10 trainees, four educationalists) were analysed, and item lists created and distributed for consensus opinion (11 trainers and seven trainees). The STTAR consisted of 64 factors, and its web-based version, the mini-STTAR, included 21 factors that were categorised into four groups (training structure, training behaviour, trainer attributes and role modelling) and structured around a training session timeline (beginning, middle and end). The STTAR (six trainers, 48 different assessments) demonstrated good internal consistency (α = 0.88) and inter-rater reliability (ICC = 0.75). The mini-STTAR demonstrated good inter-item reliability (α = 0.79) and intra-observer reliability on comparison of 85 different trainer/trainee combinations (r = 0.701, p = <0.001). Both were found to be feasible and acceptable. The educational report for trainers was found to be useful (4.4 out of 5). Conclusions: An assessment tool that evaluates training quality was developed and shown to be reliable, acceptable and of educational value. It has been successfully implemented into the English National Training Programme for laparoscopic colorectal surgery

Development of the Occupational Therapy Stroke Arm and Hand Record: An Upper Limb Treatment Schedule

Introduction: This study aimed to develop a comprehensive occupational therapy treatment schedule of upper limb interventions for stroke survivors with reduced upper limb function. Method: In a three-phased qualitative consensus study, 12 occupational therapists from acute and community settings in North West England contributed to interviews and subsequently group discussions to design and pilot a treatment schedule. Interview data were analysed using thematic analysis; the themes were used to develop a framework for the schedule that was supported by and reflected the International Classification of Functioning, Disability and Health framework. A draft schedule was the subject of a focus group and the resultant schedule was piloted in clinical practice by eight local occupational therapists working in neurological rehabilitation. Findings: Consensus was reached on three themes summarizing aspects of function: interventions that address preparation for activity, functional skills (that is, an aspect of function), and function. Three additional themes summarized other aspects of therapy: advice and education, practice outside therapy sessions, and psychosocial interventions. These themes became the main headings of the treatment schedule. The Occupational Therapy Stroke Arm and Hand Record treatment schedule was piloted and found to be comprehensive and potentially beneficial to clinical practice. Conclusion: The Occupational Therapy Stroke Arm and Hand Record treatment schedule provides a tool for use in stroke research and clinical practice

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes. The SPIRIT-AI (Standard Protocol Items: Recommendations for Interventional Trials-Artificial Intelligence) extension is a new reporting guideline for clinical trial protocols evaluating interventions with an AI component. It was developed in parallel with its companion statement for trial reports: CONSORT-AI (Consolidated Standards of Reporting Trials-Artificial Intelligence). Both guidelines were developed through a staged consensus process involving literature review and expert consultation to generate 26 candidate items, which were consulted upon by an international multi-stakeholder group in a two-stage Delphi survey (103 stakeholders), agreed upon in a consensus meeting (31 stakeholders) and refined through a checklist pilot (34 participants). The SPIRIT-AI extension includes 15 new items that were considered sufficiently important for clinical trial protocols of AI interventions. These new items should be routinely reported in addition to the core SPIRIT 2013 items. SPIRIT-AI recommends that investigators provide clear descriptions of the AI intervention, including instructions and skills required for use, the setting in which the AI intervention will be integrated, considerations for the handling of input and output data, the human–AI interaction and analysis of error cases. SPIRIT-AI will help promote transparency and completeness for clinical trial protocols for AI interventions. Its use will assist editors and peer reviewers, as well as the general readership, to understand, interpret, and critically appraise the design and risk of bias for a planned clinical trial

Assessing the teaching of technical skills.

BACKGROUND: There is a lack of structured instruments to assess how technical skills are taught. We aimed to develop a practical assessment tool that is easy to use and will assess the teaching of technical skills. METHODS: A 5-point Likert global rating scale was constructed. An experienced surgeon independently assessed each surgery using the assessment tool. Trainees also used the assessment tool after the surgery. RESULTS: Forty-two surgeries were assessed: 26 open and 16 laparoscopic surgeries. Interrater reliability between the independent assessor and trainees was performed using a kappa coefficient of .77 and a P value of less than .05. CONCLUSIONS: Our study shows that our assessment instrument has a potential ability to assess any taught technical task. We will continue and expand the study in surgery, and we aim to expand it further to medical specialties (eg, internal medicine, and so forth) that also teach technical tasks (eg, chest drain insertion, and so forth)