Frank Chen
University of Southern California
19 Papers
46 Citations
Frank Chen is an academic researcher from University of Southern California. The author has contributed to research in topics: Medicine & Prostate cancer. The author has an hindex of 9, co-authored 19 publications.
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Papers
Analysis of the bicipital groove as a landmark for humeral head replacement.
TL;DR: A significant amount of internal rotation occurs along the course of the bicipital groove, which has significant clinical implications when the b anticipital groove is used as a landmark for humeral head replacement in fractures of the proximal humerus.
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Differentiation of Predominantly Solid Enhancing Lipid-Poor Renal Cell Masses by Use of Contrast-Enhanced CT: Evaluating the Role of Texture in Tumor Subtyping
Bino Varghese,Frank Chen,Darryl Hwang,Steven Cen,Bhushan Desai,Inderbir S. Gill,Vinay Duddalwar +6 more
TL;DR: The CT texture statistical model studied was accurate for differentiating benign from malignant solid enhancing lipid-poor renal masses and among the texture predictors aiding renal mass subtyping were entropy, entropy of fast-Fourier transform magnitude, mean, uniformity, information measure of correlation 2, and sum of averages.
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CT prediction of the Fuhrman grade of clear cell renal cell carcinoma (RCC): towards the development of computer-assisted diagnostic method
Hannu Huhdanpaa,Darryl Hwang,Steven Cen,Brian D. Quinn,Megha Nayyar,Xuejun Zhang,Frank Chen,Bhushan Desai,Gangning Liang,Inderbir S. Gill,Vinay Duddalwar +10 more
TL;DR: Assessment of quantitative enhancement metrics in predicting the Fuhrman grade of clear cell RCC indicates that absolute enhancement is more heterogeneous for lower grade tumors and that attenuation and residual enhancement in nephrographic phase is moreheterogeneous forLower grade tumors.
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Utility of Ultrasound in the Diagnosis, Treatment, and Follow-up of Prostate Cancer: State of the Art.
TL;DR: This article summarizes the use of novel ultrasound techniques and technologies in the detection, biopsy, and treatment of prostate cancer.
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Application of Prostate Imaging Reporting and Data System Version 2 (PI-RADS v2): Interobserver Agreement and Positive Predictive Value for Localization of Intermediate- and High-Grade Prostate Cancers on Multiparametric Magnetic Resonance Imaging.
TL;DR: PI-RADS v2 appears to be a useful system to predict significant prostate cancer, with PI-R ADS scores correlating well with the likelihood of intermediate- and high-grade cancers.
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