Hyperpolarized MRI with silicon micro and nanoparticles: Principles and applications

Author(s):  
Shivanand Pudakalakatti ◽  
José S. Enriquez ◽  
Caitlin McCowan ◽  
Saleh Ramezani ◽  
Jennifer S. Davis ◽  
...  
Keyword(s):  
2021 ◽  
Author(s):  
Claudia C. Zanella ◽  
Andrea Capozzi ◽  
Hikari A. I. Yoshihara ◽  
Alice Radaelli ◽  
Adèle L. C. Mackowiak ◽  
...  
Keyword(s):  

2009 ◽  
Vol 106 (4) ◽  
pp. 1293-1300 ◽  
Author(s):  
Lisa Campana ◽  
Jennifer Kenyon ◽  
Sanaz Zhalehdoust-Sani ◽  
Yang-Sheng Tzeng ◽  
Yanping Sun ◽  
...  

Image functional modeling (IFM) has been introduced as a method to simultaneously synthesize imaging and mechanical data with computational models to determine the degree and location of airway constriction in asthma. Using lung imaging provided by hyperpolarized 3He MRI, we advanced our IFM method to require matching not only to ventilation defect location but to specific ventilation throughout the lung. Imaging and mechanical data were acquired for four healthy and four asthmatic subjects pre- and postbronchial challenge. After provocation, we first identified maximum-size airways leading exclusively to ventilation defects and highly constricted them. Constriction patterns were then found for the remaining airways to match mechanical data. Ventilation images were predicted for each pattern, and visual and statistical comparisons were done with measured data. Results showed that matching of ventilation defects requires severe constriction of small airways. The mean constriction of such airways leading to the ventilation defects needed to be 70–80% rather than fully closed. Also, central airway constriction alone could not account for dysfunction seen in asthma, so small airways must be involved.


2021 ◽  
Author(s):  
Travis C Salzillo ◽  
Vimbai Mawoneke ◽  
Joseph Weygand ◽  
Akaanksh Shetty ◽  
Joy Gumin ◽  
...  

Rapid diagnosis and therapeutic monitoring of aggressive diseases such as glioblastoma can improve patient survival by providing physicians the time to optimally deliver treatment. This research tested whether metabolic imaging with hyperpolarized MRI could detect changes in tumor progression faster than conventional anatomic MRI in patient-derived glioblastoma murine models. To capture the dynamic nature of cancer metabolism, hyperpolarized MRI, NMR spectroscopy, and immunohistochemistry were performed at several time-points during tumor development, regression, and recurrence. Hyperpolarized MRI detected significant changes of metabolism throughout tumor progression whereas conventional MRI was less sensitive. This was accompanied by aberrations in amino acid and phospholipid lipid metabolism and MCT1 expression. Hyperpolarized MRI can help address clinical challenges such as identifying malignant disease prior to aggressive growth, differentiating pseudoprogression from true progression, and predicting relapse. The individual evolution of these metabolic assays as well as their correlations with one another provides context for further academic research.


Cells ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2621
Author(s):  
Travis C. Salzillo ◽  
Vimbai Mawoneke ◽  
Joseph Weygand ◽  
Akaanksh Shetty ◽  
Joy Gumin ◽  
...  

Rapid diagnosis and therapeutic monitoring of aggressive diseases such as glioblastoma can improve patient survival by providing physicians the time to optimally deliver treatment. This research tested whether metabolic imaging with hyperpolarized MRI could detect changes in tumor progression faster than conventional anatomic MRI in patient-derived glioblastoma murine models. To capture the dynamic nature of cancer metabolism, hyperpolarized MRI, NMR spectroscopy, and immunohistochemistry were performed at several time-points during tumor development, regression, and recurrence. Hyperpolarized MRI detected significant changes of metabolism throughout tumor progression whereas conventional MRI was less sensitive. This was accompanied by aberrations in amino acid and phospholipid lipid metabolism and MCT1 expression. Hyperpolarized MRI can help address clinical challenges such as identifying malignant disease prior to aggressive growth, differentiating pseudoprogression from true progression, and predicting relapse. The individual evolution of these metabolic assays as well as their correlations with one another provides context for further academic research.


2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Alexandra I. Svyatova ◽  
Kirill V. Kovtunov ◽  
Igor V. Koptyug

Abstract The main aim of this article is to provide a state-of-the-art review of the magnetic resonance imaging (MRI) utilization in heterogeneous catalysis. MRI is capable to provide very useful information about both living and nonliving objects in a noninvasive way. The studies of an internal heterogeneous reactor structure by MRI help to understand the mass transport and chemical processes inside the working catalytic reactor that can significantly improve its efficiency. However, one of the serious disadvantages of MRI is low sensitivity, and this obstacle dramatically limits possible MRI application. Fortunately, there are hyperpolarization methods that eliminate this problem. Parahydrogen-induced polarization approach, for instance, can increase the nuclear magnetic resonance signal intensity by four to five orders of magnitude; moreover, the obtained polarization can be stored in long-lived spin states and then transferred into an observable signal in MRI. An in-depth account of the studies on both thermal and hyperpolarized MRI for the investigation of heterogeneous catalytic processes is provided in this review as part of the special issue emphasizing the research performed to date in Russia/USSR.


2020 ◽  
Vol 7 ◽  
Author(s):  
Nikolaj Bøgh ◽  
Esben Søvsø Szocska Hansen ◽  
Christian Østergaard Mariager ◽  
Lotte Bonde Bertelsen ◽  
Steffen Ringgaard ◽  
...  

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Kerstin N. Timm ◽  
Charith Perera ◽  
Vicky Ball ◽  
John A. Henry ◽  
Jack J. Miller ◽  
...  

AbstractDoxorubicin (DOX) is a widely used chemotherapeutic agent that can cause serious cardiotoxic side effects culminating in congestive heart failure (HF). There are currently no clinical imaging techniques or biomarkers available to detect DOX-cardiotoxicity before functional decline. Mitochondrial dysfunction is thought to be a key factor driving functional decline, though real-time metabolic fluxes have never been assessed in DOX-cardiotoxicity. Hyperpolarized magnetic resonance imaging (MRI) can assess real-time metabolic fluxes in vivo. Here we show that cardiac functional decline in a clinically relevant rat-model of DOX-HF is preceded by a change in oxidative mitochondrial carbohydrate metabolism, measured by hyperpolarized MRI. The decreased metabolic fluxes were predominantly due to mitochondrial loss and additional mitochondrial dysfunction, and not, as widely assumed hitherto, to oxidative stress. Since hyperpolarized MRI has been successfully translated into clinical trials this opens up the potential to test cancer patients receiving DOX for early signs of cardiotoxicity.


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