Results 21 to 30 of about 30,785,842 (283)

Diagnosis of Acute Aortic Syndromes on Non-Contrast CT Images with Radiomics-Based Machine Learning

Biology, 2023
Simple Summary Computed tomography angiography can provide sufficient information for the diagnosis of acute aortic syndromes. However, non-contrast computed tomography images in the emergency department, compared with CTA, are more easily accessible and
Zhuangxuan Ma, Liang Jin, Lukai Zhang, Yuling Yang, Yilin Tang, Pan Gao, Ying-Li Sun, Ming Li   +7 more
semanticscholar   +1 more source

Prediction of high Ki-67 proliferation index of gastrointestinal stromal tumors based on CT at non-contrast-enhanced and different contrast-enhanced phases

European Radiology, 2023
Objectives To evaluate and analyze radiomics models based on non-contrast-enhanced computed tomography (CT) and different phases of contrast-enhanced CT in predicting Ki-67 proliferation index (PI) among patients with pathologically confirmed ...
Zhenhui Xie, Shiteng Suo, Wang Zhang, Qing-Wei Zhang, Yongming Dai, Yang Song, Xiao Li, Yan Zhou   +7 more
semanticscholar   +1 more source

CSF rhinorrhea: non-contrast CT, contrast-enhanced CT cisternography or combined?

The Egyptian Journal of Radiology and Nuclear Medicine, 2022
Background Radiologic diagnosis of CSF leaks is challenging. We evaluated the diagnostic value of non-contrast CT and contrast-enhanced CT cisternography in identifying the presence of CSF rhinorrhea and site of leak as well as comparing them to surgical
Lina Tarek Hablas, Alshimaa Magdy Ammar, Rehab Mohamed Elnagar   +2 more
doaj   +1 more source

Dual-Energy Spectral Computed Tomography: Comparing True and Virtual Non Contrast Enhanced Images

Measurement Science Review, 2022
Spectral computed tomography (CT) imaging is one of several image reconstruction techniques based on the use of dual-layer CT. The intensity and attenuation of the radiation are measured in relation to different wavelengths, and such a procedure results ...
Širůčková Kateřina, Marcoň Petr, Dostál Marek, Širůčková Anna, Dohnal Přemysl   +4 more
doaj   +1 more source

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection

Comput. Biol. Medicine, 2021
OBJECTIVE Robust differentiation between infarcted and normal tissue is important for clinical diagnosis and precision medicine. The aim of this work is to investigate the radiomic features and to develop a machine learning algorithm for the ...
Elham Avard, I. Shiri, G. Hajianfar, H. Abdollahi, K. Kalantari, G. Houshmand, K. Kasani, A. Bitarafan-rajabi, M. Deevband, M. Oveisi, H. Zaidi   +10 more
semanticscholar   +1 more source

Virtual Non-Contrast Reconstructions of Photon-Counting Detector CT Angiography Datasets as Substitutes for True Non-Contrast Acquisitions in Patients after EVAR—Performance of a Novel Calcium-Preserving Reconstruction Algorithm

Diagnostics, 2022
The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs.
J. Decker, Stefanie Bette, C. Scheurig-Muenkler, B. Jehs, Franka Risch, Piotr Woźnicki, Franziska Braun, M. Haerting, Claudia Wollny, T. Kroencke, F. Schwarz   +10 more
semanticscholar   +1 more source

Laboratory implementation of edge illumination X-ray phase-contrast imaging with energy-resolved detectors [PDF]

, 2015
Edge illumination (EI) X-ray phase-contrast imaging (XPCI) has potential for applications in different fields of research, including materials science, non-destructive industrial testing, small-animal imaging, and medical imaging.
A. Olivo, De Ruvo, L, Endrizzi, M., Kallon, G, SPANDRE, GLORIA, G. Spandre, Vincenzi, A, Kallon, G., A. Brez, Hagen, C. K., Olivo, A, L. De Ruvo, Basta, D, P. C. Diemoz, F. A. Vittoria, Hagen, CK, Olivo, A., C. K. Hagen, Spandre, G, Brez, A., M. Marenzana, Brez, A, DELOGU, PASQUALE, Vittoria, F. A., Marenzana, M., Bellazzini, R, Diemoz, P. C., Vincenzi, A., BELLAZZINI, RONALDO, A. Vincenzi, D. Basta, M. Endrizzi, G. Kallon, R. Bellazzini, Diemoz, PC, Vittoria, FA, Delogu, P, Endrizzi, M, Marenzana, M, De Ruvo, L., Basta, D., P. Delogu   +41 more
core   +1 more source

Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms

European Radiology, 2021
To evaluate image quality and reconstruction times of a commercial deep learning reconstruction algorithm (DLR) compared to hybrid-iterative reconstruction (Hybrid-IR) and model-based iterative reconstruction (MBIR) algorithms for cerebral non-contrast ...
L. Oostveen, F. Meijer, F. D. de Lange, E. Smit, S. Pegge, S. Steens, M. V. van Amerongen, M. Prokop, I. Sechopoulos   +8 more
semanticscholar   +1 more source

Non-contrast and contrast enhanced computed tomography radiomics in preoperative discrimination of lung invasive and non-invasive adenocarcinoma

Frontiers in Medicine, 2022
ObjectiveThis study aimed to assess the value of radiomics based on non-contrast computed tomography (NCCT) and contrast-enhanced computed tomography (CECT) images in the preoperative discrimination between lung invasive adenocarcinomas (IAC) and non ...
Yingli Sun, Wei Zhao, Kaiming Kuang, Liang Jin, Pan Gao, Shaofeng Duan, Yi Xiao, Jun Liu, Ming Li   +8 more
doaj   +1 more source

Non-contrast MRI for Hepatocellular Carcinoma Detection: A Systematic Review and Meta-analysis - A Potential Surveillance Tool?

Clinical Gastroenterology and Hepatology, 2021
BACKGROUND AND AIMS This meta-analysis investigates the diagnostic performance of non-contrast magnetic resonance imaging (MRI) for the detection of hepatocellular carcinoma (HCC). METHODS A systematic review was performed to May 2020 for studies which
M. Chan, Y. Huo, Nelson Trieu, Amer Mitchelle, J. George, Emily Y. He, A. Lee, Jeff Chang, Jessica Yang   +8 more
semanticscholar   +1 more source