Results 271 to 280 of about 30,785,842 (283)

Comparison of non-contrast abbreviated MRI and ultrasound as surveillance modalities for HCC.

Journal of Hepatology
BACKGROUND AND AIMS Ultrasonography (US) is recommended for HCC surveillance in high-risk patients, but has limited performance in detecting early-stage HCC.
Dong Hwan Kim, J. Yoon, M. Choi, Chang Hee Lee, Tae Wook Kang, Hyun A. Kim, Young Mi Ku, Jeong-Min Lee, Seong Hyun Kim, Kyung Ah Kim, Su-Lim Lee, Joon-Il Choi   +11 more
semanticscholar   +1 more source

Virtual Non-contrast Imaging in The Abdomen and The Pelvis: An Overview.

Seminars in ultrasound, CT, and MR, 2022
Virtual non-contrast (VNC) imaging is a post-processing technique generated from contrast-enhanced scans using dual-energy computed tomography (DECT). It is generated by removing iodine from imaging acquired at multiple energies.
Mayur K. Virarkar, S. S. Vulasala, Anjali Verma Gupta, D. Gopireddy, Sindhu P. Kumar, Mauricio Hernandez, C. Lall, P. Bhosale   +7 more
semanticscholar   +1 more source

Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

IEEE Transactions on Medical Imaging
Lesion segmentation is a fundamental step for the diagnosis of acute ischemic stroke (AIS). Non-contrast CT (NCCT) is still a mainstream imaging modality for AIS lesion measurement.
Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quan-Liang Cao, Bo Hu, Wu Qiu, Jianxin Wang   +7 more
semanticscholar   +1 more source

Detecting the Early Infarct Core on Non-Contrast CT Images with a Deep Learning Residual Network.

Journal of Stroke & Cerebrovascular Diseases, 2021
PURPOSE To explore a new approach mainly based on deep learning residual network (ResNet) to detect infarct cores on non-contrast CT images and improve the accuracy of acute ischemic stroke diagnosis. METHODS We continuously enrolled magnetic resonance
Jiawei Pan, Guoqing Wu, Jin-Hua Yu, Dao-Ying Geng, Jun Zhang, Yuanyuan Wang   +5 more
semanticscholar   +1 more source

Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CT.

Radiology, 2020
Background Identifying the presence and extent of infarcted brain tissue at baseline plays a crucial role in the treatment of patients with acute ischemic stroke (AIS).
W. Qiu, Hulin Kuang, Ericka Teleg, J. Ospel, S. Sohn, M. Almekhlafi, M. Goyal, M. Hill, A. Demchuk, B. Menon   +9 more
semanticscholar   +1 more source

Dual-energy CT of the pancreas: comparison between virtual non-contrast images and true non-contrast images in the detection of pancreatic lesion

Abdominal Radiology, 2023
Hong-Wei Liang, Silin Du, Gao-Wu Yan, Yang Zhou, Tianyue Yang, Zhi-Wei Zhang, Chen Luo, Hongfan Liao, Yong-Mei Li   +8 more
semanticscholar   +1 more source

Visual Ordinal Scoring of Coronary Artery Calcium on Contrast-Enhanced and Non-Contrast Chest CT: A Retrospective Study of Diagnostic Performance and Prognostic Utility.

AJR. American journal of roentgenology, 2022
C. U. Fresno, Felipe Antonio Sanchez Tijmes, P. Thavendiranathan, S. Akhtari, G. Karur, Felipe Torres, J. Halankar, E. Nguyen, Kate Hanneman   +8 more
semanticscholar   +1 more source

Non-contrast CT markers of intracerebral hematoma expansion: a reliability study

European Radiology, 2022
A. Nehme, C. Ducroux, M. Panzini, C. Bard, O. Bereznyakova, W. Boisseau, Y. Deschaintre, J. Diestro, F. Guilbert, G. Jacquin, Mohamed Taoubane Maallah, K. Nelson, I. Padilha, A. Poppe, B. Rioux, D. Roy, L. Touma, A. Weill, L. Gioia, L. Létourneau-Guillon   +19 more
semanticscholar   +1 more source

Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization

European Radiology
Joonnyung Heo, Yongsik Sim, B. Kim, Dong Joon Kim, Y. D. Kim, H. Nam, Yoon Seong Choi, Seung-Koo Lee, E. Kim, B. Sohn   +9 more
semanticscholar   +1 more source

Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images

Multimedia tools and applications
Maganti Syamala, R. Chandrasekaran, R. Balamurali, R. Rani, Arshad Hashmi, Ajmeera Kiran, A. Rajaram   +6 more
semanticscholar   +1 more source