Semiquantitative staging of liver fibrosis is a highly subjective procedure.
However, it may lead to an uncertainty in judgment regarding the degree of severity and hence the progression of the disease.
Dr Ismail Matalka and colleagues from Jordan evaluated automated quantification system for severity of fibrosis in liver biopsies.
The severity of fibrosis was based on the classification by Ishak and colleagues.
|The architecture of fibrosis was approximated with an overall accuracy of 98%|
Accordingly, liver fibrosis is classified into 6 classes depending on its severity and progression.
The described system is of special value in accurately assessing the prognosis of chronic liver disease.
The researchers approximated the architecture of the fibrosis in the subject sample.
The team used texture features and shape representation of the fibrosis structural expansion with an overall accuracy of about 98%.
This method is a novel approach in the domain of automatic liver fibrosis quantification.
The researchers describe that this method attempts to utilize the current semiquantitative methods of liver fibrosis assessment.
The technique turns the semiquantitative methods into real quantitative ones with significant reduction in variability and subjectivity.
Dr Matalka's team comments, “Our method can be adopted by a panel of expert liver pathologists and software to be developed and used on a wide scale.”