| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Xiaolin Hou, Tao Wu, Dingjun Li, Yuan Yao, Lin Zen. Enhanced Preoperative Planning for Intracranial Aneurysms Through Multimodal Image Fusion of Silent/Time-of-Magnetic Resonance Angiography and Computed Tomography Using 3DSlicer: A Comparative Efficacy Analysis With Computed Tomography Angiography. The neurologist. 2024-09-23. PMID:39311429. |
this study evaluates the effectiveness of multimodal image fusion (mif) using silent and time-of-flight (tof) magnetic resonance angiography (mra) and computed tomography (ct) for preoperative planning in patients with intracranial aneurysms who have contraindications to contrast media. |
2024-09-23 |
2024-09-26 |
Not clear |
| Fumiyo Higaki, Masafumi Hiramatsu, Takao Yasuhara, Susumu Sasada, Yoshihiro Otani, Jun Haruma, Tomohiro Inoue, Yusuke Morimitsu, Noriaki Akagi, Yusuke Matsui, Toshihiro Iguchi, Takao Hirak. Cranial and spinal computed tomography (CT) angiography with photon-counting detector CT: comparison with angiographic and operative findings. Japanese journal of radiology. 2024-09-16. PMID:39283532. |
in the cases of cerebral aneurysms, flow diverters are important tools for the treatment of intracranial aneurysms, and postoperative evaluation with cone beam ct with angiography using diluted contrast media is performed to evaluate stent adhesion and in-stent thrombosis. |
2024-09-16 |
2024-09-19 |
Not clear |
| Hujin Xie, Han Yu, Hao Wu, Jiaqiu Wang, Shanglin Wu, Jianjian Zhang, Huilin Zhao, Mingyang Yuan, Jessica Benitez Mendieta, Haveena Anbananthan, Craig Winter, Chengcheng Zhu, Zhiyong L. Quantifying irregular pulsation of intracranial aneurysms using 4D-CTA. Journal of biomechanics. vol 174. 2024-08-11. PMID:39128410. |
this study aims to quantify irregular pulsations by the displacement and strain distribution of the intracranial aneurysm surface during the cardiac cycle using four-dimensional ct angiographic image data. |
2024-08-11 |
2024-08-14 |
Not clear |
| Kishore Rajendran, Ajay A Madhava. Optimizing Photon-Counting Detector CT for Imaging Intracranial Aneurysms. AJNR. American journal of neuroradiology. 2024-08-09. PMID:39122465. |
optimizing photon-counting detector ct for imaging intracranial aneurysms. |
2024-08-09 |
2024-08-13 |
Not clear |
| Adrienn Tóth, Justin A Chetta, Milad Yazdani, M Gisele Matheus, Jim O'Doherty, Sameer V Tipnis, M Vittoria Spampinat. Neurovascular Imaging with Ultra-High-Resolution Photon-Counting CT: Preliminary Findings on Image-Quality Evaluation. AJNR. American journal of neuroradiology. 2024-08-01. PMID:38760079. |
the purpose of this study was to assess the image quality of ultra-high-resolution photon-counting detector ct compared with energy-integrating detector ct and to explore different reconstruction kernel sharpness levels for the evaluation of intracranial aneurysms. |
2024-08-01 |
2024-08-05 |
Not clear |
| Huizhong Zheng, Xinfeng Liu, Zhenxing Huang, Yan Ren, Bin Fu, Tianliang Shi, Lu Liu, Qiping Guo, Tian Chong, Dong Liang, Rongpin Wang, Jie Chen, Zhanli H. Deep learning for intracranial aneurysm segmentation using CT angiography. Physics in medicine and biology. 2024-07-15. PMID:39008990. |
deep learning for intracranial aneurysm segmentation using ct angiography. |
2024-07-15 |
2024-07-18 |
Not clear |
| Sha Luo, Li Wen, Yang Jing, Jingxu Xu, Chencui Huang, Zhang Dong, Guangxian Wan. A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiography. Frontiers in neurology. vol 15. 2024-07-04. PMID:38962476. |
a simple and effective machine learning model for predicting the stability of intracranial aneurysms using ct angiography. |
2024-07-04 |
2024-07-10 |
Not clear |
| Zhao Shi, Bin Hu, Mengjie Lu, Zijian Chen, Manting Zhang, Yizhou Yu, Changsheng Zhou, Jian Zhong, Bingqian Wu, Xueming Zhang, Yongyue Wei, Long Jiang Zhan. Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial. Trials. vol 25. issue 1. 2024-06-05. PMID:38835091. |
assessing the impact of an artificial intelligence-based model for intracranial aneurysm detection in ct angiography on patient diagnosis and outcomes (ideal study)-a protocol for a multicenter, double-blinded randomized controlled trial. |
2024-06-05 |
2024-06-07 |
Not clear |
| Zhao Shi, Bin Hu, Mengjie Lu, Zijian Chen, Manting Zhang, Yizhou Yu, Changsheng Zhou, Jian Zhong, Bingqian Wu, Xueming Zhang, Yongyue Wei, Long Jiang Zhan. Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial. Trials. vol 25. issue 1. 2024-06-05. PMID:38835091. |
this multicenter, double-blinded, randomized controlled trial (rct) aims to assess the impact of an artificial intelligence (ai)-based model on the efficacy of intracranial aneurysm detection in ct angiography (cta) and its influence on patients' short-term and long-term outcomes. |
2024-06-05 |
2024-06-07 |
Not clear |
| Kun Bai, Tiantian Wang, Guozhi Zhang, Ming Zhang, Hongchao Fu, Yun Feng, Kaiyi Lian. Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography. Acta radiologica (Stockholm, Sweden : 1987). 2024-06-05. PMID:38839094. |
improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical ct angiography. |
2024-06-05 |
2024-06-08 |
Not clear |
| Kun Bai, Tiantian Wang, Guozhi Zhang, Ming Zhang, Hongchao Fu, Yun Feng, Kaiyi Lian. Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography. Acta radiologica (Stockholm, Sweden : 1987). 2024-06-05. PMID:38839094. |
the diagnostic impact of deep learning computed tomography (ct) reconstruction on intracranial aneurysm (ia) remains unclear. |
2024-06-05 |
2024-06-08 |
Not clear |
| Pae Sun Suh, Seung Chai Jung, Hye Hyeon Moon, Yun Hwa Roh, Yunsun Song, Minjae Kim, Jungbok Lee, Keum Mi Cho. Diagnosis of Unruptured Intracranial Aneurysms Using Proton-Density Magnetic Resonance Angiography: A Comparison With High-Resolution Time-of-Flight Magnetic Resonance Angiography. Korean journal of radiology. vol 25. issue 6. 2024-05-29. PMID:38807339. |
differentiating intracranial aneurysms from normal variants using ct angiography (cta) or mr angiography (mra) poses significant challenges. |
2024-05-29 |
2024-06-02 |
Not clear |
| Bin Hu, Zhao Shi, Li Lu, Zhongchang Miao, Hao Wang, Zhen Zhou, Fandong Zhang, Rongpin Wang, Xiao Luo, Feng Xu, Sheng Li, Xiangming Fang, Xiaodong Wang, Ge Yan, Fajin Lv, Meng Zhang, Qiu Sun, Guangbin Cui, Yubao Liu, Shu Zhang, Chengwei Pan, Zhibo Hou, Huiying Liang, Yuning Pan, Xiaoxia Chen, Xiaorong Li, Fei Zhou, U Joseph Schoepf, Akos Varga-Szemes, W Garrison Moore, Yizhou Yu, Chunfeng Hu, Long Jiang Zhan. A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study. The Lancet. Digital health. vol 6. issue 4. 2024-03-22. PMID:38519154. |
a deep-learning model for intracranial aneurysm detection on ct angiography images in china: a stepwise, multicentre, early-stage clinical validation study. |
2024-03-22 |
2024-03-25 |
Not clear |
| Bin Hu, Zhao Shi, Li Lu, Zhongchang Miao, Hao Wang, Zhen Zhou, Fandong Zhang, Rongpin Wang, Xiao Luo, Feng Xu, Sheng Li, Xiangming Fang, Xiaodong Wang, Ge Yan, Fajin Lv, Meng Zhang, Qiu Sun, Guangbin Cui, Yubao Liu, Shu Zhang, Chengwei Pan, Zhibo Hou, Huiying Liang, Yuning Pan, Xiaoxia Chen, Xiaorong Li, Fei Zhou, U Joseph Schoepf, Akos Varga-Szemes, W Garrison Moore, Yizhou Yu, Chunfeng Hu, Long Jiang Zhan. A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study. The Lancet. Digital health. vol 6. issue 4. 2024-03-22. PMID:38519154. |
our study aimed to develop a ct angiography (cta)-based ai model for intracranial aneurysm detection, assess how it helps clinicians improve diagnostic performance, and validate its application in real-world clinical implementation. |
2024-03-22 |
2024-03-25 |
Not clear |
| Patricio Muszynski, Jean François Hak, Basile Kerleroux, Benjamin Gory, René Anxionnat, François Zh. Virtual diluted cone beam CT for device apposition assessment during endovascular treatment of intracranial aneurysm: a technical note. Journal of neuroradiology = Journal de neuroradiologie. 2024-01-23. PMID:38262518. |
virtual diluted cone beam ct for device apposition assessment during endovascular treatment of intracranial aneurysm: a technical note. |
2024-01-23 |
2024-01-26 |
Not clear |
| Žiga Bizjak, Žiga Špicli. A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT Angiography. Biomedicines. vol 11. issue 11. 2023-11-25. PMID:38001922. |
a systematic review of deep-learning methods for intracranial aneurysm detection in ct angiography. |
2023-11-25 |
2023-11-28 |
Not clear |
| Nomasonto N Mkhize, Victor Mngomezulu, Thandi E Buthelez. Accuracy of CT angiography for detecting ruptured intracranial aneurysms. SA journal of radiology. vol 27. issue 1. 2023-06-09. PMID:37292420. |
accuracy of ct angiography for detecting ruptured intracranial aneurysms. |
2023-06-09 |
2023-08-14 |
Not clear |
| Fredrick J Joseph, Hanne E R Vanluchene, Johannes Goldberg, David Bervin. 3D-printed head model in patient's education for micro-neurosurgical aneurysm clipping procedures. World neurosurgery. 2023-04-22. PMID:37087042. |
computed tomography (ct), magnetic resonance imaging (mri), and 3d reconstruction from digital subtraction angiography (dsa) are currently used in clinical consultations for patients diagnosed with intracranial aneurysms; however, they have limitations in helping patients understand the disease and possible treatments. |
2023-04-22 |
2023-08-14 |
Not clear |
| Jinglu Wang, Jie Sun, Jingxu Xu, Shiyu Lu, Hao Wang, Chencui Huang, Fandong Zhang, Yizhou Yu, Xiang Gao, Ming Wang, Yu Wang, Xinzhong Ruan, Yuning Pa. Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model. Academic radiology. 2023-02-03. PMID:36737273. |
detection of intracranial aneurysms using multiphase ct angiography with a deep learning model. |
2023-02-03 |
2023-08-14 |
Not clear |
| Dimitar Slavko. Artery of Adamkiewicz. Korean journal of neurotrauma. vol 18. issue 2. 2022-11-16. PMID:36381458. |
ct angiography did not reveal any intracranial aneurysms or arteriovenous malformations. |
2022-11-16 |
2023-08-14 |
Not clear |