Study of some biomarkers reflecting the grade of liver fibrosis in hepatic patients / Mohamed Mordy Ahmed EL-Gazar ; abdelgawad Ali Fahmy , Aly Fahmy Mohamed , heba Mohamed Kamal .

By:

Mohamed Mordy Ahmed EL-Gazar

Contributor(s):

Heba Mohamed Kamal

Material type: Text

TextPublication details: 2022.Content type:

text

Media type:

Unmediated

Carrier type:

volume

Other title:

دراسات بعض المؤشرات الحيوية التى تعكس درجة التليف فى مرضى الكبد

Subject(s):

DDC classification:

Dissertation note: (Ph.D)-Cairo University,2022. Summary: Liver fibrosis is the result of a sustained wound healing response to chronic liver injury. The main reasons include chronic hepatitis C virus (HCV), hepatitis B virus (HBV) infection, and Non-alcoholic fatty liver disease (NAFLD). Non-invasive methods of assessing fibrosis are often used in clinical practice as a safer, more accessible and less costly way than liver biopsy to stratify individuals by risk. The aim of the study was to study early diagnosis of liver fibrosis in patients with hepatitis B, C and NAFLD using indirect non-invasive biomarkers and evaluate the diagnostic efficiency of these biomarkers.

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Item type	Current library	Home library	Call number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.12.02.ph.D.2022.MO.s. (Browse shelf(Opens below))	Not for loan		01010110086143000

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(Ph.D)-Cairo University,2022.

Bibliography: p. 179-210.

Liver fibrosis is the result of a sustained wound healing response to chronic liver injury. The main reasons include chronic hepatitis C virus (HCV), hepatitis B virus (HBV) infection, and Non-alcoholic fatty liver disease (NAFLD). Non-invasive methods of assessing fibrosis are often used in clinical practice as a safer, more accessible and less costly way than liver biopsy to stratify individuals by risk. The aim of the study was to study early diagnosis of liver fibrosis in patients with hepatitis B, C and NAFLD using indirect non-invasive biomarkers and evaluate the diagnostic efficiency of these biomarkers.

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