Master, Doctor Le Thi Hong Vu is currently working at the Department of Diagnostic Imaging – Vinmec Da Nang International Hospital, with many years of experience in ultrasound and diagnostic imaging. She graduated as a Medical Doctor and later earned a Master’s degree in Diagnostic Imaging at Hue University of Medicine and Pharmacy. She also regularly attends postgraduate training courses and scientific conferences both domestically and internationally to update her knowledge and advanced techniques.
Dr. Vu specializes in a wide range of diagnostic imaging techniques, including general ultrasound, thyroid, breast, cardiovascular, vascular, musculoskeletal, gynecological ultrasound, elastography, and interventional ultrasound for fluid aspiration. In addition, she performs CT, MRI, and X-ray imaging, as well as endovenous laser treatment for lower limb varicose veins. With a solid academic background and extensive clinical experience, Master, Doctor Le Thi Hong Vu is dedicated to providing accurate, safe, and personalized diagnostic services for every patient.
- Diagnose by ultrasound: Abdomen, Breast, Thyroid, Localization, Doppler ultrasound, Cardio ultrasound, musculoskeletal ultrasound, vaginal ultrasound, elastography, RFA control ultrasound…
- Diagnose by Xray, CT scanner.
2011- 2013: Hue University of Medicine and Pharmacy, Diagnosis imaging master.
2005 - 2011: Hue University of Medicine and Pharmacy, general practices doctor.
11/2011 – 05/2017 Working as Diagnosis imaging Doctor at Hue Central Hospital.
06/2017- now: Vinmec Da Nang International Hospital
Vietnam Ultrasound Association
National Imaging Diagnostic Conference
Vietnamese Society of Radiology and Nuclear Medicine
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Assessment of uterine cavity and Fallopian tube patency by sonohysterography with saline solution.
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Investigate the result of uterine cavity and Fallopian tube patency by hysterosalpingography in infertility.
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Study the vaginal discharge in the infertile cases, exam at Hue medicine and pharmacy college.
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Assessment the thyroid nodules by TIRADS classification 2017.