Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yingjian Ye"'
Autor:
Yongling Yao, Xin Jin, Tianfang Peng, Ping Song, Yingjian Ye, Lina Song, Huantian Li, Peng An
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Objective Tongue squamous cell carcinoma (TSCC) accounts for 43.4% of oral cancers in China and has a poor prognosis. This study aimed to explore whether radiomics features extracted from preoperative magnetic resonance imaging (MRI) could p
Externí odkaz:
https://doaj.org/article/35deadb9cd5c44e78edf0dfe43acd857
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveTo predict postoperative anastomotic leakage (AL) following radical resection of esophageal squamous cell carcinoma (ESCC) based on clinical data and preoperative enhanced Computed tomography(CT) radiomics of the esophagus.MethodWe retrospec
Externí odkaz:
https://doaj.org/article/bebc34e1a2b9432d938a0760366aa3a8
Autor:
Lina Song MD, Junjie Liu MD, Yu Shang MD, Yan Hu PhD, Junyan Zhang MD, Yingjian Ye PhD, Xianqun Ji PhD, Peng An PhD
Publikováno v:
Cancer Control, Vol 31 (2024)
Nasopharyngeal Carcinoma (NC) refers to the malignant tumor that occurs at the top and side walls of the nasopharyngeal cavity. The NC incidence rate always dominates the first among the malignant tumors of the ear, nose and throat, and mainly occurs
Externí odkaz:
https://doaj.org/article/c58e6cb0288e4bacbfc4df2e7d496cc2
Autor:
Xianqun Ji, Yu Shang, Lin Tan, Yan Hu, Junjie Liu, Lina Song, Junyan Zhang, Jingxian Wang, Yingjian Ye, Haidong Zhang, Tianfang Peng, Peng An
Publikováno v:
Clinical Medicine Insights: Oncology, Vol 18 (2024)
Background: Medium- to high-risk classification-gastrointestinal stromal tumors (MH-GIST) have a high recurrence rate and are difficult to treat. This study aims to predict the recurrence of MH-GIST within 3 years after surgery based on clinical data
Externí odkaz:
https://doaj.org/article/6dff1987bd024f53bdf473acd83b0cea
Prediction of Prognosis of Tongue Squamous Cell Carcinoma Based on Clinical MR Imaging Data Modeling
Autor:
Junjie Liu MD, Lina Song MD, Jingran Zhou MD, Mengxing Yu MD, Yan Hu PHD, Junyan Zhang PHD, Ping Song PHD, Yingjian Ye PHD, Jinsong Wang PHD, Guoyan Feng PHD, Hongyan Guo PHD, Peng An PHD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Objective: Tongue squamous cell carcinoma (TSCC) is one of the most common and poor prognosis head and neck tumors. The purpose of this study is to establish a model for predicting TSCC prognosis based on clinical and MR radiomics data and to develop
Externí odkaz:
https://doaj.org/article/62f0d0dd3766484b93cfce1f323c7cd4
Autor:
Peng An, Xiumei Li, Ping Qin, YingJian Ye, Junyan Zhang, Hongyan Guo, Peng Duan, Zhibing He, Mingqun Li, Jinsong Wang, Yan Hu, Guoyan Feng, Yong Lin
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6612-6629 (2023)
Objective: To predict COVID-19 severity by building a prediction model based on the clinical manifestations and radiomic features of the thymus in COVID-19 patients. Method: We retrospectively analyzed the clinical and radiological data from 217
Externí odkaz:
https://doaj.org/article/86325725b33344219874f93933912649
Autor:
Peng An MD, Yong Lin PhD, Junyan Zhang MD, Yan Hu MD, Ping Qin MD, Yingjian Ye MD, Xiumei Li PhD, Guoyan Feng PhD, Jinsong Wang PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Objective: To collect the clinical, pathological, and computed tomography (CT) data of 143 accepted surgical cases of pancreatic body tail cancer (PBTC) and to model and predict its prognosis. Methods: The clinical, pathological, and CT data of 143 P
Externí odkaz:
https://doaj.org/article/2f474c7791b34ff98a2db14154ae889f
Autor:
Yingjian Ye MD, Junyan Zhang MD, Ping Song PhD, Ping Qin MD, Yan Hu MD, Peng An MD, Xiumei Li PhD, Yong Lin PhD, Jinsong Wang PhD, Guoyan Feng PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Objective: To establish a predictive model distinguishing focal mass-forming pancreatitis (FMFP) from pancreatic ductal adenocarcinoma (PDAC) based on computed tomography (CT) radiomics and clinical data. Methods: A total of 78 FMFP patients (FMFP gr
Externí odkaz:
https://doaj.org/article/0e4891ccf7ac41558d64c146b7c7ae81
Autor:
Peng An MD, Yong Lin MD, Yan Hu MD, Ping Qin MD, YingJian Ye PhD, Weiping Gu PhD, Xiumei Li MD, Ping Song PhD, Guoyan Feng PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Objective To build a combined model that integrates clinical data, contrast-enhanced ultrasound, and magnetic resonance perfusion-weighted imaging-based radiomics for predicting the possibility of biochemical recurrence of prostate carcinoma and deve
Externí odkaz:
https://doaj.org/article/3f893ade53944042b9d8b6d8bcc2da03
Publikováno v:
Diagnostic and Interventional Radiology, Vol 26, Iss 3, Pp 200-203 (2020)
Externí odkaz:
https://doaj.org/article/92a6bbe97c264d10b7fa10b618db4945