Automated Accurate Determinations of Acute Infarct Core Volumes From CT Angiography Using Machine Learning.

被引:0
|
作者
Sheth, Sunil A. [1 ]
Inam, Mehmet E. [2 ]
Barman, Arko [3 ]
Lee, Songmi [1 ]
Savitz, Sean, I [1 ]
Giancardo, Luca [3 ]
机构
[1] UTHlth McGovern Med Sch, Neurol, Houston, TX USA
[2] UTHlth McGovern Med Sch, Neurosurg, Houston, TX USA
[3] UTHlth, Sch Biomed Informat, Comp Sci, Houston, TX USA
关键词
Stroke volume; Perfusion imaging; CT angiography; Infarct size; Computed tomography;
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
AWP77
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Prediction of adenocarcinoma among other subtypes of lung cancer from CT using deep learning.
    Price, Noah Waterfield
    Janes, Sam
    Gleeson, Fergus
    Massion, Pierre P.
    Lehman, Jonathan
    JOURNAL OF CLINICAL ONCOLOGY, 2021, 39 (15)
  • [42] A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiography
    Luo, Sha
    Wen, Li
    Jing, Yang
    Xu, Jingxu
    Huang, Chencui
    Dong, Zhang
    Wang, Guangxian
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [43] Automated detection and classification of coronary atherosclerotic plaques on coronary CT angiography using deep learning algorithm
    Liang, Jing
    Zhou, Kefeng
    Chu, Michael P.
    Wang, Yujie
    Yang, Gang
    Li, Hui
    Chen, Wenping
    Yin, Kejie
    Xue, Qiucang
    Zheng, Chao
    Gu, Rong
    Li, Qiaoling
    Chen, Xingbiao
    Sheng, Zhihong
    Chu, Baocheng
    Mu, Dan
    Yu, Hongming
    Zhang, Bing
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2024, 14 (06) : 3837 - 3850
  • [44] CT Angiography Source Images Acquired with a Fast-Acquisition Protocol Overestimate Infarct Core on Diffusion Weighted Images in Acute Ischemic Stroke
    Yoo, Albert J.
    Hu, Ranliang
    Hakimelahi, Reza
    Lev, Michael H.
    Nogueira, Raul G.
    Hirsch, Joshua A.
    Gonzalez, R. Gilberto
    Schaefer, Pamela W.
    JOURNAL OF NEUROIMAGING, 2012, 22 (04) : 329 - 335
  • [45] SEMI-AUTOMATED 3D SEGMENTATION OF PELVIC REGION BONES IN CT VOLUMES FOR THE ANNOTATION OF MACHINE LEARNING DATASETS
    Jeuthe, Julius
    Sanchez, Jose Carlos Gonzalez
    Magnusson, Maria
    Sandborg, Michael
    Tedgren, Asa Carlsson
    Malusek, Alexandr
    RADIATION PROTECTION DOSIMETRY, 2021, 195 (3-4) : 172 - 176
  • [46] Machine Learning Enabled Infarct Core Estimation From CTA Predicts Functional Outcome For Endovascular Stroke Therapy
    Jeevarajan, Jerome
    Salazar-Marioni, Sergio
    Tariq, Muhammad Bilal
    Niktabe, Arash
    Abdelkhaleq, Rania
    Giancardo, Luca
    Sheth, Sunil
    STROKE, 2023, 54
  • [47] Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study
    Damini Dey
    Sara Gaur
    Kristian A. Ovrehus
    Piotr J. Slomka
    Julian Betancur
    Markus Goeller
    Michaela M. Hell
    Heidi Gransar
    Daniel S. Berman
    Stephan Achenbach
    Hans Erik Botker
    Jesper Moller Jensen
    Jens Flensted Lassen
    Bjarne Linde Norgaard
    European Radiology, 2018, 28 : 2655 - 2664
  • [48] Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study
    Dey, Damini
    Gaur, Sara
    Ovrehus, Kristian A.
    Slomka, Piotr J.
    Betancur, Julian
    Goeller, Markus
    Hell, Michaela M.
    Gransar, Heidi
    Berman, Daniel S.
    Achenbach, Stephan
    Botker, Hans Erik
    Jensen, Jesper Moller
    Lassen, Jens Flensted
    Norgaard, Bjarne Linde
    EUROPEAN RADIOLOGY, 2018, 28 (06) : 2655 - 2664
  • [49] Prediction of clinical outcomes for early gastric cancer using radiomic signatures derived from the quantitative texture analysis of conventional CT scans and machine learning.
    Woolsey, Jacob G.
    Cardenas-Rodriguez, Julio C.
    Lee, Jeeyun
    Burkett, Andre
    Korn, Ronald Lee
    JOURNAL OF CLINICAL ONCOLOGY, 2018, 36 (15)
  • [50] Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning
    Tsutsumi, Ayaka
    Camerota, Chiara
    Esposito, Flavio
    Park, Si-Min
    Taylor, Tiffany
    Miyata, Shin
    JOURNAL OF SURGICAL RESEARCH, 2025, 306 : 33 - 42