scholarly journals Does the magnetization transfer effect bias chemical exchange saturation transfer effects? Quantifying chemical exchange saturation transfer in the presence of magnetization transfer

2020 ◽  
Vol 84 (3) ◽  
pp. 1359-1375
Author(s):  
Alex K. Smith ◽  
Kevin J. Ray ◽  
James R. Larkin ◽  
Martin Craig ◽  
Seth A. Smith ◽  
...  
Keyword(s):  
Chemical Exchange ◽  
Magnetization Transfer ◽  
Transfer Effect ◽  
Chemical Exchange Saturation Transfer ◽  
Saturation Transfer ◽  
Transfer Effects

scholarly journals A combined analytical solution for chemical exchange saturation transfer and semi-solid magnetization transfer

2014 ◽  
Vol 28 (2) ◽  
pp. 217-230 ◽  
Author(s):  
Moritz Zaiss ◽  
Zhongliang Zu ◽  
Junzhong Xu ◽  
Patrick Schuenke ◽  
Daniel F. Gochberg ◽  
...  
Keyword(s):  
Analytical Solution ◽  
Chemical Exchange ◽  
Magnetization Transfer ◽  
Chemical Exchange Saturation Transfer ◽  
Saturation Transfer ◽  
Semi Solid

Chemical exchange saturation transfer for detection of antiretroviral drugs in brain tissue

2021 ◽  
Author(s):  
Aditya N. Bade ◽  
Howard E. Gendelman ◽  
JoEllyn McMillan ◽  
Yutong Liu
Keyword(s):  
Chemical Exchange ◽  
Magnetization Transfer ◽  
Antiretroviral Drugs ◽  
Chemical Exchange Saturation Transfer ◽  
Magnetization Transfer Ratio ◽  
Saturation Transfer ◽  
Viral Reservoirs ◽  
Drug Concentrations ◽  
Imaging Results ◽  
Magnetic Resonance Imaging Mri

AbstractHuman immunodeficiency virus type-1 (HIV-1) antiretroviral drug (ARV) theranostics facilitates biodistribution and efficacy of therapies designed to target viral reservoirs. To this end, we have now deployed intrinsic drug chemical exchange saturation transfer (CEST) contrast to detect ARV distribution within the central nervous system (CNS).MethodsCEST effects for lamivudine (3TC) and emtricitabine (FTC) were measured by asymmetric magnetization transfer ratio analyses in solutions. CEST magnetic resonance imaging (MRI) was performed on 3TC-treated mice with analysis made by Lorentzian fitting.ResultsCEST effects of 3TC and FTC hydroxyl and amino protons linearly correlated to drug concentrations. 3TC was successfully detected in brain sub-regions by MRI. The imaging results were validated by measurements of CNS drug concentrations.ConclusionCEST contrasts can be used to detect ARVs using MRI. Such detection can be used to assess spatial-temporal drug biodistribution. This is most notable within the CNS where drug biodistribution may be more limited with the final goal of better understanding ARV-associated efficacy and potential toxicity.

scholarly journals Preliminary application of 3.0T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer

2019 ◽  
Author(s):  
Yonggui Yang ◽  
Xiaobo QU ◽  
Yihui HUANG ◽  
Afsar Khan ◽  
Gen Yan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Brain Metastases ◽  
Chemical Exchange ◽  
Magnetization Transfer ◽  
Metastatic Tumor ◽  
Chemical Exchange Saturation Transfer ◽  
Magnetization Transfer Ratio ◽  
Saturation Transfer ◽  
Tumor Group ◽  
Significant Difference

Abstract Background: Lung cancer brain metastases are very common and one of the common causes of treatment failure. We aimed to examine the clinical use of chemical exchange saturation transfer(CEST) technology in the evaluation of brain metastases for lung cancer diagnosis and prognosis. Methods: We included26 cases of lung cancer brain metastases, 15 cases of gliomas, and 20 cases with normal tests. The magnetization transfer ratio (MTR;3.5ppm) image from the GRE-EPI-CEST sequence was analyzed using the ASSET technique and APT technology. The MTR values were measured in the lesion-parenchymal, edema, and non-focus regions, and the MTR image was compared with the conventional MRI. ANOVA and t-test were used for statistical analysis. Results: The lesion-parenchymal, edema, and non-focus areas in the metastatic-tumor-group were red-yellow, yellow-green, and green-blue, and the MTR values were 3.29±1.14%,1.28±0.36%,and 1.26±0.31%, respectively. However, in the glioma-group, the corresponding areas were red, red-yellow, and green-blue, and the MTR values were 6.29±1.58%, 2.87±0.65%, and 1.03±0.30%, respectively. The MTR values of the corresponding areas in the normal-group were 1.07±0.22%,1.04±0.23%, and 1.06±0.24%, respectively. Traditional MR images are in black-white contrast and no metabolic information is displayed. The MTRvalues of the three regions were significantly different among the three groups. The values were also significantly different between the parenchymal and edema areas in the metastatic-tumor-group. There were significant differences in the MTR values between the non-lesion and edema regions, but there was no significant difference between the edema and non-focus areas. In the glioma-group, there were significant differences in the MTR values between the parenchymal and edema areas, between the parenchymal and non-focus areas, and between the edema and non-focus areas. Conclusions: CEST reflects the protein metabolism; therefore, early diagnosis of brain metastases and assessment of the prognosis can be achieved using molecular imaging.

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