Artificial intelligence‐based reticulin proportionate area – a novel histological outcome predictor in hepatocellular carcinoma

Author:

Patil Ameya1ORCID,Salvatori Rebecca1,Smith Lindsey2,Jenkins Sarah M1,Cannon Andrew1,Hartley Christopher P1,Graham Rondell P1,Moreira Roger K1

Affiliation:

1. Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN

2. Aiforia Plc Cambridge MA USA

Abstract

AimsReticulin stain is used routinely in the histological evaluation of hepatocellular carcinoma (HCC). The goal of this study was to assess whether the histological reticulin proportionate area (RPA) in HCCs predicts tumour‐related outcomes.Methods and resultsWe developed and validated a supervised artificial intelligence (AI) model that utilises a cloud‐based, deep‐learning AI platform (Aiforia Technologies, Helsinki, Finland) to specifically recognise and quantify the reticulin framework in normal livers and HCCs using routine reticulin staining. We applied this reticulin AI model to a cohort of consecutive HCC cases from patients undergoing curative resection between 2005 and 2015. A total of 101 HCC resections were included (median age = 68 years, 64 males, median follow‐up time = 49.9 months). AI model RPA reduction of > 50% (compared to normal liver tissue) was predictive of metastasis [hazard ratio (HR) = 3.76, P = 0.004, disease‐free survival (DFS, HR = 2.48, P < 0.001) and overall survival (OS), HR = 2.80, P = 0.001]. In a Cox regression model, which included clinical and pathological variables, RPA decrease was an independent predictor of DFS and OS and the only independent predictor of metastasis. Similar results were found in the moderately differentiated HCC subgroup (WHO grade 2), in which reticulin quantitative analysis was an independent predictor of metastasis, DFS and OS.ConclusionOur data indicate that decreased RPA is a strong predictor of various HCC‐related outcomes, including within the moderately differentiated subgroup. Reticulin, therefore, may represent a novel and important prognostic HCC marker, to be further explored and validated.

Funder

Mayo Clinic

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Reference29 articles.

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