G. Yan
13 Papers
1 Citations
G. Yan is an academic researcher. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 1, co-authored 11 publications.
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Papers
Dual-energy CT with virtual monoenergetic images and iodine maps improves tumor conspicuity in patients with pancreatic ductal adenocarcinoma
Hongwei Liang,Yang Zhou,Qiao Zheng,G. Yan,Hongfan Liao,Silin Du,Xiaohui Zhang,Fajin Lv,Zhiwei Zhang,Yong-mei Li +9 more
TL;DR: In this paper , the authors evaluated the value of monoenergetic images (MEI [+]) and iodine maps in dual-source dual-energy computed tomography (DECT) for assessing pancreatic ductal adenocarcinoma (PDAC), including the visually isoattenuating PDAC.
Dual-energy CT of the pancreas: comparison between virtual non-contrast images and true non-contrast images in the detection of pancreatic lesion
TL;DR: VNC images of DECT provide diagnostic image quality and accurate pancreatic lesions detection, which are a promising alternative to unenhanced phase with a substantial reduction of radiation exposure in clinical routine.
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A Patient with Acute Abdominal Pain Caused by an Unnoticed Swallowed Toothpick Misdiagnosed as Acute Appendicitis.
TL;DR: An unusual case of an unnoticed swallowed wooden toothpick stuck in the ileocecal area of a young man with right lower abdominal pain who was misdiagnosed as acute appendicitis, shows the importance of abdominal computed tomography scans for the differential diagnosis of acute abdominal pain and highlights the need for extra vigilance in excluding the diagnosis of foreign bodies in the gastrointestinal tract of patients with acute abdominalPain.
4
Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review
G. Yan,Gaowen Yan,Hong-Wei Li,Hongwei Liang,Chen Peng,Anup Bhetuwal,Morgan A. McClure,Yongmei Li,Guoqing Yang,Yong Li,Lin-Wei Zhao,Xiao-Ping Fan +11 more
TL;DR: This review aims to systematically summarize the applications and progress of radiomics in pancreatitis and it associated situations, so as to provide reference for related research.
Comparison of Multiple Radiomics Models for Identifying Histological Grade of Pancreatic Ductal Adenocarcinoma Preoperatively Based on Multiphasic Contrast-Enhanced Computed Tomography: A Two-Center Study in Southwest China
TL;DR: The multiphasic CECT radiomics models offered an accurate and noninvasive perspective to differentiate histological grade in PDAC and advantages of machine learning models including RF, SVM and Bayes were more remarkable.