4 results match your criteria: "China. Electronic address: wang.wenping@zs-hospital.sh.cn.[Affiliation]"
Artificially intelligent differential diagnosis of enlarged lymph nodes with random vector functional link network plus.
Med Eng Phys
January 2023
The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai, China. Electronic address:
Differential diagnosis of enlarged lymph nodes (ELNs) is essential for the treatment of related patients. Though multi-modal ultrasound including B-mode, Doppler ultrasound, elastography and contrast-enhanced ultrasound (CEUS) can enhance diagnostic performance for ELNs, the scenario of having only single or dual modal data is often encountered. In this study, an artificially intelligent diagnosis model based on the learning using privileged information was proposed to aid in differential diagnosis of ELNs in the case of single or dual modal images.
View Article and Find Full Text PDFImaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer.
Eur J Radiol
January 2017
Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Institute of Medical Imaging, Shanghai 200032, China. Electronic address:
Objectives: To investigate the correlation between the imaging features obtained by an automated breast volume scanner (ABVS) and molecular subtypes of breast cancer.
Methods: We examined 303 malignant breast tumours by ABVS for specific imaging features and by immunohistochemical analysis to determine the molecular subtype. ABVS imaging features, including retraction phenomenon, shape, margins, echogenicity, post-acoustic features, echogenic halo, and calcifications were analysed by univariate and multivariate logistic regression analyses to determine the significant predictive factors of the molecular subtypes.
Comparison of retraction phenomenon and BI-RADS-US descriptors in differentiating benign and malignant breast masses using an automated breast volume scanner.
Eur J Radiol
November 2015
Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Fu Dan University Institute of Medical Ultrasound and Engineering, Shanghai 200032, China. Electronic address:
Article Synopsis
- The study aimed to evaluate how well the retraction phenomenon and BI-RADS-US descriptors can differentiate between benign and malignant breast masses using an automated breast volume scanner (ABVS).
- It involved 208 female patients with a total of 237 breast masses, where the strongest predictor for malignancy was the retraction phenomenon, followed by microlobulated margins and other factors.
- The findings suggest that retraction phenomenon and microlobulated margins are valuable diagnostic indicators for distinguishing between benign and malignant breast masses.
Quantification of carotid plaque elasticity and intraplaque neovascularization using contrast-enhanced ultrasound and image registration-based elastography.
Ultrasonics
September 2015
Department of Ultrasound, Zhongshan Hospital, Fudan University, 200032 Shanghai, China. Electronic address:
It is valuable for evaluation of carotid plaque vulnerability to investigate the relation between intraplaque neovascularization (IPN) and plaque elasticity. The contrast-enhanced ultrasound (CEUS) has been used in IPN measurement, but it cannot assess plaque elasticity. The aim of this study was to develop an ultrasound elastography technique based on registration of CEUS sequential images and to use this technique for direct comparison between IPN and plaque elasticity.
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