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Introduction: The importance of patient perspectives is increasingly appreciated in clinical practice and academia with formal engagement processes developing worldwide. Digital surgery encompasses intraoperative patient data (including surgical video) analysis and so requires public-patient involvement (PPI).

Methods: Engagement events were conducted based on NIHR and GRIPP2 LF guidelines. Following informative talks on digital surgery, invited patients and patient relatives were split into focus groups regarding 1) Research; 2) Data; 3) Industry Involvement; and 4) Artificial Intelligence in surgery. Scribed feedback was thematically analysed by two researchers independently. A pre and post event survey was sought voluntarily.

Results: 36 participant perspectives were analysed. In general, patients were enthusiastic about having a voice in surgical research and sharing their journey, with most groups concluding that capturing this was most appropriate after treatment recovery. The use of patient data for surgical development (i.e. research and education) was endorsed unanimously for the purpose of future patient benefit when responsibly and transparently managed and the value of industry was acknowledged. From 30 pre/post surveys (all p > 0.05), participants afforded the greatest data (including video) ownership claim to the surgical team (52 %/48 %) versus patients (32 %/24 %) and the hospital (12 %/24 %). While most (73 %/80 %) agreed that AI should be applied in surgical care, most felt the surgeon most valuable (93 %/80 %) with participants disagreeing that AI should make diagnoses (57 %/64 %) or treat patients (70 %/70 %) without human input.

Conclusion: Patients capably represent stable views and expectations that can strengthen modern and evolving surgical development involving data privacy, ownership and management.

Background: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the environmental demands of the operating theatre. This can result in poorer outcomes and have a detrimental effect on surgeon well-being. The objective measurement of CWL provides a potential solution to facilitate classification of workload levels, however results are variable when physiological measures are used in isolation. The aim of this study is to develop and propose a multimodal machine learning (ML) approach to classify CWL levels using a bespoke sensor platform and to develop a ML approach to impute missing pupil diameter measures due to the effect of blinking or noise.

Materials and methods: Ten surgical trainees performed a simulated laparoscopic cholecystectomy under cognitive conditions of increasing difficulty, namely a modified auditory N-back task with increasing difficulty and a verbal clinical scenario. Physiological measures were recorded using a novel platform (MAESTRO). Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were used as direct measures of CWL. Indirect measures included electromyography (EMG), electrocardiography (ECG) and pupil diameter (PD). A reference point for validation was provided by subjective assessment of perceived CWL using the SURG-TLX. A multimodal machine learning approach that systematically implements a CNN-BiLSTM, a binary version of the metaheuristic Manta Ray Foraging Optimisation (BMRFO) and a version of Fuzzy C-Means (FCM) called Optimal Completion Strategy (OCS) was used to classify the associated perceived CWL state.

Results: Compared to other state of the art classification techniques, cross-validation results for the classification of CWL levels suggest that the CNN-BLSTM and BMRFO approach provides an average accuracy of 97 % based on the confusion matrix. Additionally, OCS demonstrated a superior average performance of 9.15 % in terms of Root-Mean-Square-Error (RMSE) when compared to other PD imputation methods.

Conclusion: Perceived CWL levels were correctly classified using a multimodal ML approach. This approach provides a potential route to accurately classify CWL levels, which may have application in future surgical training and assessment programs as well as the development of cognitive support systems in the operating room.

Objectives: The management of the facial nerve (FN) is a major issue in parotid cancer, especially when there is no preoperative facial palsy and FN invasion is discovered intraoperatively. The aim of this study was to assess the impact of FN resection in patients with parotid cancer abutting the FN, without pretreatment facial palsy, using a propensity score matching.

Materials and methods: Data from all patients treated between 2009 and 2020 for a primary parotid cancer abutting or invading the FN but without pretreatment facial palsy were extracted from the national multicentric REFCOR database. Three different definitions of tumors abutting the FN were used for sensitivity analyses, in a retrospective setting. Propensity score matching was used to assess the impact of FN resection on disease-free survival (DFS), overall survival (OS) and locoregional recurrence-free survival (LRRFS).

Results: A total of 163 patients with parotid cancer abutting or invading the FN without pretreatment facial palsy were included. Among them, 99 patients (61 %) underwent FN resection. After overlap weighting and multiple imputation, no benefit of FN resection over preservation was found in terms of OS (HR = 1.21, p = 0.6), DFS (HR = 0.88, p = 0.5) and LRRFS (HR = 0.99, p = 1). Sensitivity analyses revealed similar results, and no significant efficacy was found in the subgroup analyses.

Conclusion: In this retrospective study with propensity score analysis, FN resection did not improve survival outcomes in patients without preoperative facial palsy treated surgically for a primary parotid cancer abutting the FN. In line with recent guidelines, the results of this study suggest that FN preservation should be considered whenever possible in this specific group of patients.

Introduction: Appendiceal adenocarcinoma represents a diagnostic and therapeutic challenge since it is prone to early lymphatic and peritoneal spread. We aimed to analyze the proportion of lymph node metastases in completion right hemicolectomy specimens, risk factors for peritoneal metastases (PM), and prognosis after definitive treatment.

Methods: Ninety-three patients with appendiceal adenocarcinoma scheduled for cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS + HIPEC) in Uppsala 2004-2020 were identified from a prospectively maintained registry. Risk factors for PM were assessed based on the presence (CT + group, n = 55) or absence (CT - group, n = 37) of visible PM at baseline CT scan. Prognostic factors were analyzed based on the actual presence (PM group, n = 66) or absence (no PM group, n = 27) of PM.

Results: The median age was 60 (26-78). Forty-eight patients were women. Resection of PM at initial surgery indicated an 80 % risk of finding PM at a follow-up exploration. R1 appendectomy and perforated appendix had a similar risk for PM (24 %,26 %) which increased to 38 % if both were present. Regional lymph node metastases occurred in 31 % in the CT + group vs. 14 % in the CT - group (p = 0.005) and was associated with poor survival HR 5.16 (1.49-17.81). The 5-year OS and DFS rates were 54 % and 29 % in the PM group.

Conclusions: Patients with certain risk factors have a high likelihood of PM despite a normal CT scan, which justifies selective exploration at a HIPEC center. Regional lymph node spread supports the current practice of completion right hemicolectomy and is a significant prognostic factor.