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Application Of CT To The Diagnosis Of Partial Liver,Gallbladder,Spleen,and Kidney Diseases In Dogs

Posted on:2021-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:E XiaoFull Text:PDF
GTID:2493306605981319Subject:Master of Veterinary Medicine
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The development of pet medical industry in China has made great progress in recent years as well as various advanced medical diagnostic technologies have input markets of first-and second-tier cities,among which the advanced imaging technologies such as Computed Tomography(CT)that been widely used.The CT technique we often used apply x-rays as the imaging medium,and the light source and detector in the device scan patients in a certain orbit from multiple angles to obtain projections,and finally obtain multiple sectional images through computer processing.Compared with the ordinary X-ray film,CT can obtain more internal details,detect small lesions that are difficult to be found by the ordinary imaging examination,and also show small situations such as blood supply of lesions.However,although superimposed structures in animals can show details by adjusting the post-processing parameters of the image with little impact,there are many parameters involved in scanning process,including before and after scanning.Among them,parameters before scanning,such as current,voltage and pitch,cannot be changed once start.Images using different parameters will directly affect doctor’s final interpretation of the image.Therefore,these parameters should be carefully set before scanning.This study reviews basic structures of CT,Parameter Choice,common artifacts and contrast agent application.The study also demonstrates normal canine abdominal cross-sectional anatomy images and CT anatomy CT images as well as CT imaging features of canine common liver,spleen and kidney disease in veterinary clinical settings which provide the reference data for dogs to diagnose these disease by CT examination.In this study,frozen borneol technique was used to obtain cadaver sections of transverse section of abdomen,and then imported these images into the computer by digital cameras.Finally,the images were modified and annotated with using Photoshop CC 2015 software.At the same time,a healthy experimental medium-sized dog was selected for abdominal scanning after later arterial stage of angiography with Brivo CT 385 16-row whole-body X-ray computed tomography device.After adjusting the window width and window position to 400 and 60 respectively,the images were saved in JPEG format and been modified and annotated to obtain the anatomical structure maps of abdominal CT images.This atlas is composed of 100 anatomical maps,including 50 anatomical maps of abdominal cross-sectional specimens and 50 anatomical maps of abdominal CT images.In this study,a total of 872 cases were collected from three hospitals after CT scan,including 192 cases of abdominal related diseases.Among them liver disease accounted for 36 cases,spleen disease accounted for 30 cases and kidney disease accounted for 23 cases.In this study,12 diseases were selected for introducing CT imaging features.In CT images,nodular hyperplasia shows a clear boundary and the mass parenchyma is uniform and low density,while neoplastic lesions show different performance according to tumor types,most of which are irregular in shape and the mass parenchyma density is not uniform after enhancement.Enhanced CT combined with MPR can be used to diagnose vascular abnormalities.Low-and high-density lesions can be distinguished by pre-contrast scan,but detailed evaluation still requires CTA.The research results provide a CT theoretical basis and common abdominal CT image characteristics of the disease for clinical veterinary.At the same time,it can help veterinarians with comprehending canine normal abdominal anatomy and anatomical structures after CT scan.This study has certain theoretical guiding significance and practical application value for using veterinary clinical CT technology in our country environment.
Keywords/Search Tags:CT, Sectional anatomy, Image anatomy, Canine, Abdomen
PDF Full Text Request
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