The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative review.
Numan KutaibaWilliam ChungMark GoodwinAdam TestroGary EganRuth LimPublished in: Insights into imaging (2024)
Chronic liver disease is responsible for significant morbidity and mortality worldwide. Abdominal computed tomography (CT) and magnetic resonance imaging (MRI) can fully visualise the liver and adjacent structures in the upper abdomen providing a reproducible assessment of the liver and biliary system and can detect features of portal hypertension. Subjective interpretation of CT and MRI in the assessment of liver parenchyma for early and advanced stages of fibrosis (pre-cirrhosis), as well as severity of portal hypertension, is limited. Quantitative and reproducible measurements of hepatic and splenic volumes have been shown to correlate with fibrosis staging, clinical outcomes, and mortality. In this review, we will explore the role of volumetric measurements in relation to diagnosis, assessment of severity and prediction of outcomes in chronic liver disease patients. We conclude that volumetric analysis of the liver and spleen can provide important information in such patients, has the potential to stratify patients' stage of hepatic fibrosis and disease severity, and can provide critical prognostic information. CRITICAL RELEVANCE STATEMENT: This review highlights the role of volumetric measurements of the liver and spleen using CT and MRI in relation to diagnosis, assessment of severity, and prediction of outcomes in chronic liver disease patients. KEY POINTS: Volumetry of the liver and spleen using CT and MRI correlates with hepatic fibrosis stages and cirrhosis. Volumetric measurements correlate with chronic liver disease outcomes. Fully automated methods for volumetry are required for implementation into routine clinical practice.
Keyphrases
- magnetic resonance imaging
- computed tomography
- contrast enhanced
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- primary care
- prognostic factors
- positron emission tomography
- clinical practice
- dual energy
- high resolution
- magnetic resonance
- coronary artery disease
- machine learning
- cardiovascular disease
- type diabetes
- depressive symptoms
- deep learning
- cardiovascular events
- adipose tissue
- patient reported
- skeletal muscle
- physical activity
- weight loss