Results 11 to 20 of about 1,966,550 (257)

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
doaj   +1 more source

How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography

Scientific Reports, 2023
Recently, algorithms capable of assessing the severity of Coronary Artery Disease (CAD) in form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from Coronary Computed Tomography Angiography (CCTA) scans using Deep Learning (DL ...
Felix Denzinger, Michael Wels, Katharina Breininger, Oliver Taubmann, Alexander Mühlberg, Thomas Allmendinger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier   +12 more
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

Onsite Computed Tomography Fractional Flow Reserve in Patients with Suspected Stable Coronary Artery Disease Initial Experience

Indian Journal of Radiology and Imaging, 2021
Introduction Computed tomographic coronary angiographic (CTCA) has evolved into a robust technique to detect significant stenosis; however, there is a discordance in the anatomic and functional significance of stenosis.
Atul Kapoor, Goldaa Mahajan, Aprajita Kapoor   +2 more
doaj   +1 more source

Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map

Insights into Imaging, 2023
Objective To investigate the value of a radiomics model based on dual-energy computed tomography (DECT) venous-phase iodine map (IM) and 120 kVp equivalent mixed images (MIX) in predicting the Lauren classification of gastric cancer.
Min Li, Hongtao Qin, Xianbo Yu, Junyi Sun, Xiaosheng Xu, Yang You, Chongfei Ma, Li Yang   +7 more
doaj   +1 more source

Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules

BMC Cancer, 2023
Objective To develop and validate predictive models using clinical parameters, radiomic features and a combination of both for preoperative differentiation of pulmonary nodular mucinous adenocarcinoma (PNMA) from pulmonary tuberculoma (PTB).
Junjie Zhang, Ligang Hao, MingWei Qi, Qian Xu, Ning Zhang, Hui Feng, Gaofeng Shi   +6 more
doaj   +1 more source

On artefact reduction, segmentation and classification of 3D computed tomography imagery in baggage security screening [PDF]

, 2014
This work considers novel image-processing and computer-vision techniques to advance the automated analysis of low-resolution, complex 3D volumetric Computed Tomography (CT) imagery obtained in the aviation-security-screening domain. Novel research is
Mouton, Andre
core   +4 more sources

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
doaj   +1 more source

In-situ Analysis of Laminated Composite Materials by X-ray Micro-Computed Tomography and Digital Volume Correlation [PDF]

, 2013
The complex mechanical behaviour of composite materials, due to internal heterogeneity and multi-layered composition impose deeper studies. This paper presents an experimental investigation technique to perform volume kinematic measurements in composite ...
Dupré, J.C., Doumalin, Pascal, Germaneau, Arnaud, Brault, Romain, Fazzini, Marina, Brault, R., Doumalin, P., Mistou, Sébastien, Germaneau, A., Dupré, Jean-Christophe   +9 more
core   +1 more source