Results 1 to 10 of about 1,973,137 (353)

Computed tomography of the thorax [PDF]

Postgraduate Medical Journal, 1984
Basil Strickland
openalex   +3 more sources

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

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

Torus Computed Tomography [PDF]

SIAM Journal on Applied Mathematics, 2020
We present a new computed tomography (CT) method for inverting the Radon transform in 2D. The idea relies on the geometry of the flat torus, hence we call the new method Torus CT. We prove new inversion formulas for integrable functions, solve a minimization problem associated to Tikhonov regularization in Sobolev spaces and prove that the solution ...
Koskela, Olli, Railo, Jesse, Ilmavirta, Joonas   +3 more
openaire   +6 more sources

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

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

Shadow process tomography of quantum channels [PDF]

Phys. Rev. A 107, 042403 (2023), 2021
Quantum process tomography is a critical capability for building quantum computers, enabling quantum networks, and understanding quantum sensors. Like quantum state tomography, the process tomography of an arbitrary quantum channel requires a number of measurements that scale exponentially in the number of quantum bits affected.
arxiv   +1 more source