Journal of Thyroid Disorders & Therapy
Open Access

Lin Chen

Biography

Dr. Lin Chen is a prominent ultrasound specialist in the Department of Ultrasound at Fudan University in Shanghai, China. He completed his medical education and training at Fudan University, a leading institution in medical research and healthcare. With a strong background in diagnostic imaging, Dr. Chen specializes in the use of ultrasound technology to diagnose a wide range of conditions, particularly those affecting the abdomen, cardiovascular system, and musculoskeletal system. His expertise includes the application of advanced ultrasound techniques such as Doppler ultrasound, elastography, and 3D/4D imaging, enabling the early detection of diseases and improving patient outcomes. Dr. Chen is dedicated to refining diagnostic approaches, emphasizing non-invasive and efficient imaging methods that minimize patient discomfort and provide high accuracy. In addition to his clinical work, Dr. Chen is actively involved in research related to ultrasound technology, particularly in its applications in cancer diagnosis, liver diseases, and vascular conditions. He is also passionate about teaching and mentoring medical students and residents, helping to shape the next generation of healthcare professionals.

Publications

• Research Article
  Ultrasonographic United Stiffness Score System: Resolving the Discrepancy between Acoustic Radiation Force Impulse and Real-time Elastography in Evaluating the Thyroid Nodules Stiffness
  Author(s): Jia Zhan, Xuehong Diao, Jiamei Jin, Lin Chen and Yue Chen Jia Zhan, Xuehong Diao, Jiamei Jin, Lin Chen and Yue Chen
  
  Objective: The aim of this study was to assess the ultrasonographic united stiffness score system (UUSSS) in diagnosing thyroid nodules, and retrospectively analyze the discrepancy between acoustic radiation force impulse (ARFI) and real-time elastography (RTE). Methods: 170 conventional ultrasound (US) proven thyroid nodules in 70 patients were included and all were examined by RTE and ARFI. RTE and ARFI were first analyzed respectively, comparing with pathological findings. Then nodules have discrepancy between ARFI and RTE were retrospectively analyzed by UUSSS. Results: The AUC (area under curve) of ARFI combined RTE in 170 nodules was 0.87 (sensitivity=79.4% (54/68), specificity=84.3% (86/102), PPV=77.1% (54/70), NPV=86.0% (86/100), accuracy for ARFI were 82.4% (140/170), relatively to RTE was 0.83, 80.9%, 65... View More»
  DOI: 10.4172/2167-7948.1000219

  Abstract PDF

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