Publications by authors named "Fa-Jin Dong"
Article Synopsis
- Elastography ultrasound (EUS) is an important imaging method, but it faces challenges like subjective interpretation and hardware limitations that affect the miniaturization of equipment.
- A new deep neural network has been developed to create virtual EUS (V-EUS) from traditional B-mode images, providing a cost-effective solution.
- Analysis of 4580 breast tumor cases shows that V-EUS performs similarly to real EUS in identifying tumors, and it improves the diagnostic accuracy of portable ultrasound devices by approximately 5%.
Objective: To examine whether dynamic 3D contrast-enhanced ultrasound (CEUS) is superior to 2D imaging in revealing vascularization of focal liver lesions (FLLs).
Methods: Dynamic 2D and 3D CEUS were used to assess the vascularity of FLLs in 83 patients. The two analyses were carried out sequentially following a bolus intravenous injection of SonoVue contrast agent, one injection of 1.
Aim: To investigate the diagnostic performance of shear wave velocity (SWV) using virtual touch tissue quantification (VTQ) of acoustic radiation force impulse imaging (ARFI) technology in differentiating malignant and benign thyroid nodules by conducting a meta-analysis.
Material And Methods: The Cochrane library, Embase, Pubmed, and Web of Science were searched for relevant studies through December 2014. Studies evaluating the diagnostic accuracy of SWV in the identification of malignant and benign thyroid nodules by using VTQ of ARFI technology were selected.