Amide proton transfer imaging of brain tumors using a self-corrected 3D fast spin-echo dixon method: Comparison With separate B0correction

2016 ◽  
Vol 77 (6) ◽  
pp. 2272-2279 ◽  
Author(s):  
Osamu Togao ◽  
Jochen Keupp ◽  
Akio Hiwatashi ◽  
Koji Yamashita ◽  
Kazufumi Kikuchi ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Proton Transfer ◽  
Spin Echo ◽  
Method Comparison ◽  
Amide Proton ◽  
Fast Spin Echo ◽  
Amide Proton Transfer ◽  
Amide Proton Transfer Imaging ◽  
Dixon Method ◽  
Fast Spin

Scan-rescan reproducibility of parallel transmission based amide proton transfer imaging of brain tumors

2015 ◽  
Vol 42 (5) ◽  
pp. 1346-1353 ◽  
Author(s):  
Osamu Togao ◽  
Akio Hiwatashi ◽  
Jochen Keupp ◽  
Koji Yamashita ◽  
Kazufumi Kikuchi ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Proton Transfer ◽  
Amide Proton ◽  
Parallel Transmission ◽  
Amide Proton Transfer ◽  
Amide Proton Transfer Imaging

scholarly journals Amide proton transfer imaging of human brain tumors at 3T

2006 ◽  
Vol 56 (3) ◽  
pp. 585-592 ◽  
Author(s):  
Craig K. Jones ◽  
Michael J. Schlosser ◽  
Peter C.M. van Zijl ◽  
Martin G. Pomper ◽  
Xavier Golay ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Proton Transfer ◽  
Human Brain ◽  
Amide Proton ◽  
Human Brain Tumors ◽  
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.

Amide proton transfer imaging for differentiation of tuberculomas from high-grade gliomas: Preliminary experience

2021 ◽  
pp. 197140092110027
Author(s):  
Karthik Kulanthaivelu ◽  
Shumyla Jabeen ◽  
Jitender Saini ◽  
Sanita Raju ◽  
Atchayaram Nalini ◽  
...  
Keyword(s):  
Proton Transfer ◽  
Chemical Exchange ◽  
Spin Echo ◽  
Chemical Exchange Saturation Transfer ◽  
Amide Proton ◽  
High Grade ◽  
Saturation Pulse ◽  
Amide Proton Transfer ◽  
High Grade Gliomas ◽  
Amide Protons

Purpose Tuberculomas can occasionally masquerade as high-grade gliomas (HGG). Evidence from magnetisation transfer (MT) imaging suggests that there is lower protein content in the tuberculoma microenvironment. Building on the principles of chemical exchange saturation transfer and MT, amide proton transfer (APT) imaging generates tissue contrast as a function of the mobile amide protons in tissue’s native peptides and intracellular proteins. This study aimed to further the understanding of tuberculomas using APT and to compare it with HGG. Method Twenty-two patients ( n = 8 tuberculoma; n = 14 HGG) were included in the study. APT was a 3D turbo spin-echo Dixon sequence with inbuilt B0 correction. A two-second, 2 μT saturation pulse alternating over transmit channels was applied at ±3.5 ppm around water resonance. The APT-weighted image (APTw) was computed as the MT ratio asymmetry (MTRasym) at 3.5 ppm. Mean MTRasym values in regions of interest (areas = 9 mm2; positioned in component with homogeneous enhancement/least apparent diffusion coefficient) were used for the analysis. Results MTRasym values of tuberculomas ( n = 14; 8 cases) ranged from 1.34% to 3.11% ( M = 2.32 ± 0.50). HGG ( n = 17;14 cases) showed MTRasym ranging from 2.40% to 5.70% ( M = 4.32 ± 0.84). The inter-group difference in MTRasym was statistically significant ( p < 0.001). APTw images in tuberculomas were notable for high MTRasym values in the perilesional oedematous-appearing parenchyma (compared to contralateral white matter; p < 0.001). Conclusion Tuberculomas demonstrate lower MTRasym ratios compared to HGG, reflective of a relative paucity of mobile amide protons in the ambient microenvironment. Elevated MTRasym values in perilesional parenchyma in tuberculomas are a unique observation that may be a clue to the inflammatory milieu.

Quantitative Analysis of Mobile Proteins in Normal Brain Tissue by Amide Proton Transfer Imaging

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kazuaki Sugawara ◽  
Tosiaki Miyati ◽  
Ryo Ueda ◽  
Daisuke Yoshimaru ◽  
Masanobu Nakamura ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Proton Transfer ◽  
Brain Tissue ◽  
Amide Proton ◽  
Normal Brain ◽  
Normal Brain Tissue ◽  
Amide Proton Transfer ◽  
Amide Proton Transfer Imaging
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