Abdominal Ultrasound Diagnosis Department

The Department of Abdominal Ultrasound currently has 25 employees, including 2 chief physicians, 5 deputy chief physicians, 9 attending physicians, and 3 nurses, of whom 1 holds a doctoral degree in medicine and 12 hold master's degrees. The department is divided into 7 specialty groups: abdominal, obstetrics and gynecology, thyroid and breast, musculoskeletal, nerve and superficial organs, vascular, interventional treatment, and contrast-enhanced ultrasound. This department undertakes routine ultrasound examinations for all outpatients and inpatients of the hospital for various diseases of the abdominal organs, thyroid and breast, musculoskeletal system, nerves and superficial organs throughout the body, peripheral blood vessels, and obstetrics and gynecology; transvaginal ultrasound examinations for gynecological diseases; ultrasound examinations for diseases of the prostate and seminal vesicles of the male urinary system; contrast-enhanced ultrasound examinations of various organs; and has carried out intraoperative ultrasound and various interventional ultrasound examinations and treatments. More than 300,000 patient visits are examined annually. The department undertakes the teaching of undergraduate courses at Xinjiang Medical University, as well as the training of interns, standardized residency trainees, and advanced trainees, and has successively led and participated in scientific research projects including National Natural Science Foundation of China projects, provincial- and ministerial-level key laboratory projects, and autonomous region natural science foundation projects, and has received the Autonomous Region Science and Technology Achievement Award. Hardware facilities: The Department of Abdominal Ultrasound currently has 22 internationally first-class color Doppler ultrasound diagnostic systems from GE and PHILIPS of the United States, SIEMENS of Germany, and Hitachi of Japan, among others, and has established a PACS system network ultrasound workstation, realizing network-based management of diagnostic reports. Through multi-machine networking, the storage, processing, and retrieval of graphic data are simple and fast, providing comprehensive support for the diagnostic and treatment needs of clinical specialties.