Results 1 to 10 of about 871,431 (301)

PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs

Frontiers in Oncology, 2022
BackgroundsEpidermal growth factor receptor (EGFR) mutation profiles play a vital role in treatment strategy decisions for non–small cell lung cancer (NSCLC).
Liping Yang, Panpan Xu, Mengyue Li, Menglu Wang, Mengye Peng, Ying Zhang, Tingting Wu, Wenjie Chu, Kezheng Wang, Hongxue Meng, Lingbo Zhang   +10 more
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Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma

Frontiers in Oncology, 2021
PurposeTo develop and validate the radiomics nomogram that combines clinical factors and radiomics features to estimate overall survival (OS) in patients with clear cell renal cell carcinoma (ccRCC), and assess the incremental value of radiomics for OS ...
Lei Yan, Guangjie Yang, Jingjing Cui, Wenjie Miao, Yangyang Wang, Yujun Zhao, Ning Wang, Aidi Gong, Na Guo, Pei Nie, Zhenguang Wang   +10 more
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Predictive value of baseline metabolic tumor burden on 18F-FDG PET/CT for brain metastases in patients with locally advanced non-small-cell lung cancer

Frontiers in Oncology, 2022
ObjectivesBrain metastases (BMs) are a major cause leading to the failure of treatment management for non-small-cell lung cancer (NSCLC) patients. The purpose of this study was to evaluate the predictive value of baseline metabolic tumor burden on 18F ...
Jingjie Shang, Huimin You, Chenchen Dong, Yingxin Li, Yong Cheng, Yongjin Tang, Bin Guo, Jian Gong, Xueying Ling, Hao Xu   +9 more
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Values of MRI Imaging Presentations in the Hepatobiliary Phase, DWI and T2WI Sequences in Predicting Pathological Grades of Intrahepatic Mass-Forming Cholangiocarcinoma

Frontiers in Oncology, 2022
ObjectiveTo retrospectively investigate the value of various MRI image menifestations in the hepatobiliary phase (HBP), DWI and T2WI sequences in predicting the pathological grades of intrahepatic mass-forming cholangiocarcinoma (IMCC).Materials and ...
Li-Hong Xing, Li-Yong Zhuo, Jia-Ning Wang, Yan Zhang, Feng-Ying Zhu, Chu Wang, Xiao-Ping Yin, Bu-Lang Gao   +7 more
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The role of artificial intelligence based on PET/CT radiomics in NSCLC: Disease management, opportunities, and challenges

Frontiers in Oncology, 2023
ObjectivesLung cancer has been widely characterized through radiomics and artificial intelligence (AI). This review aims to summarize the published studies of AI based on positron emission tomography/computed tomography (PET/CT) radiomics in non-small ...
Qiuyuan Hu, Ke Li, Conghui Yang, Yue Wang, Rong Huang, Mingqiu Gu, Yuqiang Xiao, Yunchao Huang, Long Chen   +8 more
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Diagnosis of Serosal Invasion in Gastric Adenocarcinoma by Dual-Energy CT Radiomics: Focusing on Localized Gastric Wall and Peritumoral Radiomics Features

Frontiers in Oncology, 2022
ObjectivesTo build a radiomics model and combined model based on dual-energy CT (DECT) for diagnosing serosal invasion in gastric adenocarcinoma.Materials and methods231 gastric adenocarcinoma patients were enrolled and randomly divided into a training ...
Li Yang, Junyi Sun, Xianbo Yu, Yang Li, Min Li, Jing Liu, Xiangming Wang, Gaofeng Shi   +7 more
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Stroke risk prediction by color Doppler ultrasound of carotid artery-based deep learning using Inception V3 and VGG-16

Frontiers in Neurology, 2023
PurposeThis study aims to automatically classify color Doppler images into two categories for stroke risk prediction based on the carotid plaque. The first category is high-risk carotid vulnerable plaque, and the second is stable carotid plaque.MethodIn ...
Shan-Shan Su, Li-Ya Li, Yi Wang, Yuan-Zhe Li   +3 more
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Development and Validation of a Machine Learning-Based Radiomics Model on Cardiac Computed Tomography of Epicardial Adipose Tissue in Predicting Characteristics and Recurrence of Atrial Fibrillation

Frontiers in Cardiovascular Medicine, 2022
PurposeThis study aimed to evaluate the feasibility of differentiating the atrial fibrillation (AF) subtype and preliminary explore the prognostic value of AF recurrence after ablation using radiomics models based on epicardial adipose tissue around the ...
Min Yang, Qiqi Cao, Zhihan Xu, Yingqian Ge, Shujiao Li, Fuhua Yan, Wenjie Yang   +6 more
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Pre-Operative Prediction of Mediastinal Node Metastasis Using Radiomics Model Based on 18F-FDG PET/CT of the Primary Tumor in Non-Small Cell Lung Cancer Patients

Frontiers in Medicine, 2021
Purpose: We investigated whether a fluorine-18-fluorodeoxy glucose positron emission tomography/computed tomography (18F-FDG PET/CT)-based radiomics model (RM) could predict the pathological mediastinal lymph node staging (pN staging) in patients with ...
Kai Zheng, Kai Zheng, Kai Zheng, Xinrong Wang, Chengzhi Jiang, Yongxiang Tang, Zhihui Fang, Jiale Hou, Zehua Zhu, Shuo Hu, Shuo Hu, Shuo Hu   +11 more
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CT Radiomics Combined With Clinicopathological Features to Predict Invasive Mucinous Adenocarcinoma in Patients With Lung Adenocarcinoma

Technology in Cancer Research & Treatment, 2023
Objective: This study aimed to develop and validate predictive models using clinical parameters, radiomic features, and a combination of both for invasive mucinous adenocarcinoma (IMA) of the lung in patients with lung adenocarcinoma.
Junjie Zhang MD, Ligang Hao MD, Min Li MD, Qian Xu MD, Gaofeng Shi MD   +4 more
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