scholarly journals MRI-based methods for quantification of the cerebral metabolic rate of oxygen

2016 ◽  
Vol 36 (7) ◽  
pp. 1165-1185 ◽  
Author(s):  
Zachary B Rodgers ◽  
John A Detre ◽  
Felix W Wehrli

The brain depends almost entirely on oxidative metabolism to meet its significant energy requirements. As such, the cerebral metabolic rate of oxygen (CMRO2) represents a key measure of brain function. Quantification of CMRO2 has helped elucidate brain functional physiology and holds potential as a clinical tool for evaluating neurological disorders including stroke, brain tumors, Alzheimer’s disease, and obstructive sleep apnea. In recent years, a variety of magnetic resonance imaging (MRI)-based CMRO2 quantification methods have emerged. Unlike positron emission tomography – the current “gold standard” for measurement and mapping of CMRO2 – MRI is non-invasive, relatively inexpensive, and ubiquitously available in modern medical centers. All MRI-based CMRO2 methods are based on modeling the effect of paramagnetic deoxyhemoglobin on the magnetic resonance signal. The various methods can be classified in terms of the MRI contrast mechanism used to quantify CMRO2: T2*, T2′, T2, or magnetic susceptibility. This review article provides an overview of MRI-based CMRO2 quantification techniques. After a brief historical discussion motivating the need for improved CMRO2 methodology, current state-of-the-art MRI-based methods are critically appraised in terms of their respective tradeoffs between spatial resolution, temporal resolution, and robustness, all of critical importance given the spatially heterogeneous and temporally dynamic nature of brain energy requirements.

Author(s):  
Anton Popov ◽  
Maxim Artemovich Abakumov ◽  
Irina Savintseva ◽  
Artem Ermakov ◽  
Nelly Popova ◽  
...  

Gd-based complexes are widely used as magnetic resonance imaging (MRI) contrast agents. The safety of previously approved contrast agents is questionable and is being re-assessed. The main causes of concern...


2017 ◽  
Vol 8 (34) ◽  
pp. 5157-5166 ◽  
Author(s):  
A. V. Fuchs ◽  
A. P. Bapat ◽  
G. J. Cowin ◽  
K. J. Thurecht

A switchable polymeric 19F magnetic resonance imaging (MRI) contrast agent was synthesised whereby the transverse (T2) relaxation times increased as a therapeutic was released from a hyperbranched polymer (HBP) scaffold.


2021 ◽  
Vol 13 (9) ◽  
pp. 1611-1621
Author(s):  
Rong Guo ◽  
Binbin Ma ◽  
Jiaqiu Nie

This study aimed to explore the value of preoperative mammography in the differential diagnosis of benign and malignant tumors of nipple discharge. A biocompatible T1 contrast agent KMnF3 nanoparticle was first developed in the research, and then RGD-coupled KMnF3 nanoparticles were further synthesized as a highly sensitive tumor-targeted magnetic resonance imaging (MRI) contrast agent. While the nanoparticle was characterized physically, cytotoxicity test and MRI test in breast cancer mice were performed, and the excised tumors were subjected to immunostaining and tumor electron microscope section processing. At the same time, 60 patients with nipple discharge were screened to participate in the research, and the prepared MRI nano contrast agent was used for the differential diagnosis of breast benign/malignant tumors of nipple discharge. In the experiment, the synthetic nanoparticles were tested by Fourier transformed infrared (FTIR), which proved that the designed RGDtu/KMnF3 nanoparticles were successfully synthesized. The quantitative analysis of the synthesized nanoparticles showed that the relaxation efficiency reached 23.12 mM−1s−1, and there was no obvious toxicity. After staining, the microscope showed that the tumor was proliferating. After intravenous injection of low-dose RGDtu/KMnF3 contrast agent, nanoparticles were found in the tumor tissue. It was found that the synthesized nanoparticles enhanced the contrast of tumors with a volume of less than 50 mm3 by observing tumor slices. The imaging of the patient’s breast showed that the X-ray classification of galactography based on this contrast agent was statistically significant in distinguishing benign/malignant lesions of nipple discharge (X2 = 58.700, P < 0.01).


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