Quantification ofin vivopH-weighted amide proton transfer (APT) MRI in acute ischemic stroke

2015 ◽  
Author(s):  
Iris Y. Zhou ◽  
Takahiro Igarashi ◽  
Yingkun Guo ◽  
Phillip Z. Sun
Keyword(s):  
Ischemic Stroke ◽  
Proton Transfer ◽  
Acute Ischemic Stroke ◽  
Amide Proton ◽  
Amide Proton Transfer

scholarly journals Relaxation-compensated fast multislice amide proton transfer (APT) imaging of acute ischemic stroke

2008 ◽  
Vol 59 (5) ◽  
pp. 1175-1182 ◽  
Author(s):  
Phillip Zhe Sun ◽  
Yoshihiro Murata ◽  
Jie Lu ◽  
Xiaoying Wang ◽  
Eng H. Lo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Proton Transfer ◽  
Acute Ischemic Stroke ◽  
Amide Proton ◽  
Amide Proton Transfer ◽  
Apt Imaging

scholarly journals Study of common quantification methods of amide proton transfer magnetic resonance imaging for ischemic stroke detection

2020 ◽  
Vol 85 (4) ◽  
pp. 2188-2200
Author(s):  
Lee Sze Foo ◽  
James R. Larkin ◽  
Brad A. Sutherland ◽  
Kevin J. Ray ◽  
Wun‐She Yap ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Ischemic Stroke ◽  
Magnetic Resonance ◽  
Proton Transfer ◽  
Amide Proton ◽  
Resonance Imaging ◽  
Amide Proton Transfer

scholarly journals Imaging of amide proton transfer and nuclear Overhauser enhancement in ischemic stroke with corrections for competing effects

2014 ◽  
Vol 28 (2) ◽  
pp. 200-209 ◽  
Author(s):  
Hua Li ◽  
Zhongliang Zu ◽  
Moritz Zaiss ◽  
Imad S. Khan ◽  
Robert J. Singer ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Proton Transfer ◽  
Amide Proton ◽  
Nuclear Overhauser Enhancement ◽  
Amide Proton Transfer ◽  
Nuclear Overhauser

scholarly journals Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003–2020)

2021 ◽  
Vol 11 (8) ◽  
pp. 3797-3811
Author(s):  
Lee Sze Foo ◽  
George Harston ◽  
Amit Mehndiratta ◽  
Wun-She Yap ◽  
Yan Chai Hum ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ischemic Stroke ◽  
Proton Transfer ◽  
Clinical Translation ◽  
Amide Proton ◽  
Amide Proton Transfer

Optimized amide proton transfer imaging of ischemic stroke

2013 ◽  
Vol 333 ◽  
pp. e234
Author(s):  
Z. Dai ◽  
G. Yan ◽  
S. Li ◽  
G. Xiao ◽  
Z. Shen ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Proton Transfer ◽  
Amide Proton ◽  
Amide Proton Transfer ◽  
Amide Proton Transfer Imaging

scholarly journals Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elisabeth Sartoretti ◽  
Thomas Sartoretti ◽  
Michael Wyss ◽  
Carolin Reischauer ◽  
Luuk van Smoorenburg ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Brain Tumors ◽  
Proton Transfer ◽  
Multilayer Perceptron ◽  
Random Forest Classifier ◽  
Amide Proton ◽  
Low Grade ◽  
Who Grade ◽  
Amide Proton Transfer

AbstractWe sought to evaluate the utility of radiomics for Amide Proton Transfer weighted (APTw) imaging by assessing its value in differentiating brain metastases from high- and low grade glial brain tumors. We retrospectively identified 48 treatment-naïve patients (10 WHO grade 2, 1 WHO grade 3, 10 WHO grade 4 primary glial brain tumors and 27 metastases) with either primary glial brain tumors or metastases who had undergone APTw MR imaging. After image analysis with radiomics feature extraction and post-processing, machine learning algorithms (multilayer perceptron machine learning algorithm; random forest classifier) with stratified tenfold cross validation were trained on features and were used to differentiate the brain neoplasms. The multilayer perceptron achieved an AUC of 0.836 (receiver operating characteristic curve) in differentiating primary glial brain tumors from metastases. The random forest classifier achieved an AUC of 0.868 in differentiating WHO grade 4 from WHO grade 2/3 primary glial brain tumors. For the differentiation of WHO grade 4 tumors from grade 2/3 tumors and metastases an average AUC of 0.797 was achieved. Our results indicate that the use of radiomics for APTw imaging is feasible and the differentiation of primary glial brain tumors from metastases is achievable with a high degree of accuracy.

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