Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/19001
Title: Study of Liver in Bilharziasis Patients by ultrasound using Image Pattern Recognition
Other Titles: دراسة الكبد لمرضي البلهارسيا عن طريق الموجات فوق الصوتية باستخدام التعرف علي نمط الصورة
Authors: Elhassan, SafaaAbd-Elrahman Mohamed
Supervisor, -Elsafi Ahmed Abdullah
Keywords: Medical Radiologic Sciences
Ultrasonography
Liver in Bilharziasis
Image Pattern Recognition
Issue Date: 3-Jul-2017
Publisher: Sudan University of Science and Technology
Citation: Elhassan, SafaaAbd-Elrahman Mohamed . Study of Liver in Bilharziasis Patients by ultrasound using Image Pattern Recognition \ SafaaAbd-Elrahman Mohamed Elhassan ; Elsafi Ahmed Abdullah .- Khartoum:Sudan University of Science & Technology,College of Medical Radiologic Science,2017.-129 p.:ill.;28cm.-Ph.D
Abstract: This prospective, analytic, and descriptive study was performed in the Elmanageltown in the period from 2014 to 2017.The main aim of the study was to study the liver in theBilharziasis patient using Ultrasound and image pattern recognition. The study excluded all patients known other liver disease. The study followed international scanning guideline and protocol to perform liver ultrasound.The data was collected, classified, analyzed using SPSS. The results of the study showed that the male patients were dominant (58%) versus (42%) females, most affected organ was the spleen and was found in about (64%) of patient with enlarge spleen.Liver ultrasound of sample showed that most of the patients developed abnormal portal vein findings in diameter, collateralas (58%) dilated portal vein (36%) presence of collateral. The liver showed that there is (22%) decrease in size, (23%) increase,(34%)hypoechoic,(24%)hyperechoic and (51%) heterogeneous texture.In conclusion liver cirrhosis can be grade using ultrasound objectively with an accuracy of (81.1%) and with the aid of texture analysis accuracy was(94.7%), sensitivity (90.6%)and specificity of (90.1%) using linear discriminant equation.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/19001
Appears in Collections:PhD theses :Medical Radiologic Science

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