Non-alcoholic fatty liver disease (NAFLD) has a global prevalence of about 25%. Incidence is increasing with rising levels of obesity, type 2 diabetes and the metabolic syndrome, and NAFLD is predicted to become the leading cause of cirrhosis requiring liver transplantation in the next decade. However, the cardiovascular disease is the most common cause of death and only a minority will develop fibrosis and liver-related complications. Therefore, it is imperative to identify patients with advanced disease using non-invasive markers of fibrosis, which include serology-based tests (eg NAFLD Fibrosis Score and ELF test) and imaging (eg transient elastography). This targets appropriate patients for referral to secondary care for additional investigations such as liver biopsy and specialist care. Lifestyle modification and weight loss remains the cornerstone of management, but we are about to enter a new era of promising pharmacotherapies for NASH and fibrosis.

Histopathological scoring of disease stage uses descriptive categories without measuring the amount of fibrosis. Collagen, the major component of fibrous tissue, can be quantified by computer-assisted digital image analysis (DIA) using histological sections. We determined relationships between DIA, Ishak stage, and hepatic venous pressure gradient (HVPG) reflecting severity of fibrosis. One hundred fifteen patients with hepatitis C virus (HCV) who had undergone transplantation had 250 consecutive transjugular liver biopsies combined with HVPG (median length, 22 mm; median total portal tracts, 12), evaluated using the Ishak system and stained with Sirus red for DIA. Liver collagen was expressed as collagen proportionate area (CPA). Median CPA was 6% (0.2-45), correlating with Ishak stage (stage 6 range, 13%-45%), and with HVPG (r = 0.62; P < 0.001). Median CPA was 4.1% when HVPG was less than 6 mm Hg and 13.8% when HVPG was 6 mm Hg or more (P < 0.0001) and 6% when HVPG was less than 10 mm Hg and 17.3% when HVPG was 10 mm Hg or higher (P < 0.0001). Only CPA, not Ishak stage/grade, was independently associated by logistic regression, with HVPG of 6 mm Hg or more [odds ratio, 1.206; 95% confidence interval (CI), 1.094-1.331; P < 0.001], or HVPG of 10 mm Hg or more (odds ratio, 1.105; 95% CI, 1.026-1.191; P = 0.009). CPA increased by 50% (3.6%) compared with 20% in HVPG (1 mm Hg) in 38 patients with repeated biopsies. Conclusion: CPA assessed by DIA correlated with Ishak stage scores and HVPG measured contemporaneously. CPA was a better histological correlate with HVPG than Ishak stage, had a greater numerical change when HVPG was low, and resulted in further quantitation of fibrosis in cirrhosis. (Hepatology 2009.)

Liver transplantation (LT) is the only therapeutic option for end-stage primary sclerosing cholangitis (PSC), but PSC can recur (rPSC) in some patients after LT. The aim of our study was to evaluate the risk factors associated with rPSC. Between 1989 and 2004, 69 patients receiving transplantation for PSC (42 male, mean age 41.9 yr). Clinical and laboratory data, activity/extension and treatment of ulcerative colitis (UC), post-LT cytomegalovirus (CMV) infection, and immunosuppression were evaluated. Determination of rPSC was made by radiological and histological findings. Exclusion criteria were ABO blood group incompatibility, hepatic artery stenosis, and biliary strictures occurring in 3 months) post-LT was the only risk factor significantly associated with rPSC (P = 0.025). In conclusion, the presence of UC post-LT, and the need for maintenance steroids post-LT, which is an independent factor, are associated with rPSC. These findings could help elucidate a possible mechanism of PSC pathogenesis. Liver Transpl, 2007. © 2007 AASLD.

Liver biopsy is the reference standard for staging and grading nonalcoholic fatty liver disease (NAFLD), but histologic scoring systems are semiquantitative with marked interobserver and intraobserver variation. We used machine learning to develop fully automated software for quantification of steatosis, inflammation, ballooning, and fibrosis in biopsy specimens from patients with NAFLD and validated the technology in a separate group of patients. We collected data from 246 consecutive patients with biopsy-proven NAFLD and followed up in London from January 2010 through December 2016. Biopsy specimens from the first 100 patients were used to derive the algorithm and biopsy specimens from the following 146 were used to validate it. Biopsy specimens were scored independently by pathologists using the Nonalcoholic Steatohepatitis Clinical Research Network criteria and digitalized. Areas of steatosis, inflammation, ballooning, and fibrosis were annotated on biopsy specimens by 2 hepatobiliary histopathologists to facilitate machine learning. Images of biopsies from the derivation and validation sets then were analyzed by the algorithm to compute percentages of fat, inflammation, ballooning, and fibrosis, as well as the collagen proportionate area, and compared with findings from pathologists' manual annotations and conventional scoring systems. In the derivation group, results from manual annotation and the software had an interclass correlation coefficient (ICC) of 0.97 for steatosis (95% CI, 0.95-0.99; P < .001); ICC of 0.96 for inflammation (95% CI, 0.9-0.98; P < .001); ICC of 0.94 for ballooning (95% CI, 0.87-0.98; P < .001); and ICC of 0.92 for fibrosis (95% CI, 0.88-0.96; P = .001). Percentages of fat, inflammation, ballooning, and the collagen proportionate area from the derivation group were confirmed in the validation cohort. The software identified histologic features of NAFLD with levels of interobserver and intraobserver agreement ranging from 0.95 to 0.99; this value was higher than that of semiquantitative scoring systems, which ranged from 0.58 to 0.88. In a subgroup of paired liver biopsy specimens, quantitative analysis was more sensitive in detecting differences compared with the nonalcoholic steatohepatitis Clinical Research Network scoring system. We used machine learning to develop software to rapidly and objectively analyze liver biopsy specimens for histologic features of NAFLD. The results from the software correlate with those from histopathologists, with high levels of interobserver and intraobserver agreement. Findings were validated in a separate group of patients. This tool might be used for objective assessment of response to therapy for NAFLD in practice and clinical trials.