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Funding: This work is supported by the Industrial Centre for AI Research in digital Diagnostics (iCAIRD) which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI) [project number: 104690], and in part by Chief Scientist Office, Scotland. Fully supervised learning for whole slide image based diagnostic tasks in histopathology is problematic due to the requirement for costly and time-consuming manual annotation by experts. Weakly supervised learning which utilises only slide-level labels during training is becoming more widespread as it relieves this burden, but has not yet been applied to endometrial whole slide images, in iSyntax format. In this work we apply a weakly supervised learning algorithm to a real-world dataset of this type for the first time, with over 85% validation accuracy and over 87% test accuracy. We then employ interpretability methods including attention heatmapping, feature visualisation, and a novel end-to-end saliency-mapping approach to identify distinct morphologies learned by the model and build an understanding of its behaviour. These interpretability methods, alongside consultation with expert pathologists, allow us to make comparisons between machine-learned knowledge and consensus in the field. This work contributes to the state of the art by demonstrating a robust practical application of weakly supervised learning on a real-world digital pathology dataset and shows the importance of fine-grained interpretability to support understanding and evaluation of model performance in this high-stakes use case. Publisher PDF

AimsTo evaluate our medical liver pathology practice and its influence on patient management, using audit templates published by the UK Royal College of Pathologists (RCPath).MethodsWe audited medical liver biopsies reported in our centre in 2019 using RCPath proformas. Data were collected from pathology reports and corresponding electronic patient record.Results60 cases were selected for audit from 135 eligible biopsies reported in 2019. 58/60 cases were core biopsies and 2/60 were laparoscopic wedge biopsies. 53/57 (93%) core biopsies with available data met RCPath adequacy criteria (length >15 mm and/or ≥6 portal tracts). Most reports (57/60; 95%) were judged to have helped patient management. 25/60 (42%) biopsy reports helped to clarify the clinical diagnosis and 48/60 (80%) led to altered management.ConclusionsWe demonstrate the utility of the RCPath audit templates, highlighting the clinical value of medical liver biopsies in the diagnostic work-up and management of patients with liver disease.

The tumour microenvironment is an important factor for colorectal cancer prognosis, affecting the patient's immune response. Immune checkpoints, which regulate the immune functions of lymphocytes, may provide prognostic power. This study aimed to investigate the prognostic value of the immune checkpoints TIM‐3, LAG‐3 and PD‐1 in patients with stage I–III colorectal cancer. Immunohistochemistry was employed to detect TIM‐3, LAG‐3, PD‐1 and PD‐L1 in 773 patients with stage I–III colorectal cancer. Immune checkpoint protein expression was assessed in tumour cells using the weighted histoscore, and in immune cells within the stroma using point counting. Scores were analysed for associations with survival and clinical factors. High tumoural LAG‐3 (hazard ratio [HR] 1.45 95% confidence interval [CI] 1.00–2.09, p = 0.049) and PD‐1 (HR 1.34 95% CI 1.00–1.78, p = 0.047) associated with poor survival, whereas high TIM‐3 (HR 0.60 95% CI 0.42–0.84, p = 0.003), LAG‐3 (HR 0.58 95% CI 0.40–0.87, p = 0.006) and PD‐1 (HR 0.65 95% CI 0.49–0.86, p = 0.002) on immune cells within the stroma associated with improved survival, while PD‐L1 in the tumour (p = 0.487) or the immune cells within the stroma (p = 0.298) was not associated with survival. Furthermore, immune cell LAG‐3 was independently associated with survival (p = 0.017). Checkpoint expression scores on stromal immune cells were combined into a Combined Immune Checkpoint Stromal Score (CICSS), where CICSS 3 denoted all high, CICSS 2 denoted any two high, and CICSS 1 denoted other combinations. CICSS 3 was associated with improved patient survival (HR 0.57 95% CI 0.42–0.78, p = 0.001). The results suggest that individual and combined high expression of TIM‐3, LAG‐3, and PD‐1 on stromal immune cells are associated with better colorectal cancer prognosis, suggesting there is added value to investigating multiple immune checkpoints simultaneously.

Menetrier disease is a rare disease characterised by hyperplasia of the gastric epithelium and large gastric folds. We present a case of a 58-year-old woman who was referred with iron deficiency anaemia, with a family history of a sibling who had undergone gastrectomy for presumed gastric malignancy. Endoscopy showed prominent gastric mucosal folds and biopsies showed hyperplastic gastric mucosa, with prominent foveolar hyperplasia suggestive of Menetrier disease. Further information about her brother’s diagnosis was sought, and it was found that his pathology after gastrectomy showed diffuse glandular hyperplasia also in keeping with Menetrier disease. Adult familial Menetrier disease has so far been a rarity in the literature—review elicits five previous cases of this presentation in siblings.