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Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
Routine indexes for cirrhosis and significant fibrosis detection in patients with compensated chronic hepatitis B
Zhi-Qiao Zhang1, Li-Wen Huang2, Yong-Peng Chen2
1State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Disease & Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China; Department of Internal Medicine, Chencun Hospital Affiliated to Shunde Hospital, Southern Medical University, Shunde, Guangdong, China.
Insights
New HeBCI and HeBFI indexes accurately detect liver fibrosis and cirrhosis in chronic hepatitis B patients. These cost-effective tools can reduce liver biopsy needs in resource-limited settings.
Area of Science:
- Hepatology
- Biomarker Discovery
- Diagnostic Accuracy
Background:
- Existing fibrosis indices like FIB-4 and APRI have limited validation in chronic hepatitis B (CHB).
- Accurate non-invasive assessment of liver fibrosis is crucial for CHB management.
- There is a need for validated, cost-effective tools for fibrosis staging in CHB.
Purpose of the Study:
- To validate existing fibrosis indices (FIB-4, APRI) in CHB patients.
- To develop and validate novel, accurate non-invasive biomarkers for liver fibrosis and cirrhosis in CHB.
- To assess the clinical utility of new indices in resource-limited settings.
Main Methods:
- Analysis of 1438 treatment-naïve CHB patients.
- Development of two novel non-invasive indices: HeBCI for cirrhosis and HeBFI for significant fibrosis.
- Validation of index performance using Area Under the Receiver Operating Characteristic Curves (AUROCs) and accuracy metrics.
Main Results:
- HeBCI demonstrated superior AUROCs (0.841 model, 0.779 validation) for cirrhosis detection compared to FIB-4 and APRI.
- HeBFI showed higher AUROCs (0.781 model, 0.776 validation) for significant fibrosis detection than FIB-4 and APRI.
- HeBCI achieved 86% accuracy for cirrhosis, and HeBFI achieved 76.6% accuracy for significant fibrosis.
Conclusions:
- The novel HeBCI and HeBFI indices show high accuracy in detecting cirrhosis and significant fibrosis in CHB patients.
- These indices are economical and convenient, suitable for outpatient use.
- HeBCI and HeBFI can significantly reduce the reliance on liver biopsy, particularly in resource-limited healthcare settings.
Background And Aim:
Fibrosis index based on the four factors (FIB-4) and aspartate aminotransferase to platelet ratio index (APRI) were not well validated in patients with chronic hepatitis B (CHB). The aim of this study was to validate the performances of these indexes and construct novel indexes for liver fibrosis assessment.
Methods:
A total of 1438 consecutive antivirus treatment-naïve patients with CHB were analysed, and two novel indexes (named HeBCI and HeBFI) were derived for cirrhosis and significant fibrosis detection.
Results:
For cirrhosis, the area under receiver operating characteristic curves (AUROCs) were 0.841 for HeBCI, 0.708 for FIB-4 and 0.623 for APRI in the model set, and 0.779, 0.690, 0.595 in the validation set. For significant fibrosis, the AUROCs were 0.781 for HeBFI, 0.693 for APRI and 0.641 for FIB-4 in the model set, and 0.776, 0.729, 0.641 in the validation set. HeBCI determined 750 (52.2%) patients as having cirrhosis or non-cirrhosis with an accuracy of 86%. HeBFI detected 673 (46.8%) patients with or without significant fibrosis with an accuracy of 76.6%.
Conclusions:
As economical and convenient indexes, HeBCI and HeBFI are suitable to serve as outpatient tools for detecting significant fibrosis and cirrhosis to reduce the need of liver biopsy significantly in resource-limited settings.
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