Using magnetic resonance imaging and spectroscopy in cancer diagnostics and monitoring

Kauppinen, Risto A.; Peet, Andrew C.

doi:10.4161/cbt.12.8.18137

Cited by 41 publications

(29 citation statements)

References 153 publications

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“…Magnetic resonance spectroscopy (MRS) has been used for almost three decades to probe tissue for markers of metabolism (71, 72). MRS measures brain metabolites based on their unique spectra originating from nuclei such as proton (1H), phosphorus (31P) and carbon (13C).…”

Section: Application Of Mr Physics To Glioblastomamentioning

confidence: 99%

Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

et al. 2014

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The most common malignant primary brain tumor, glioblastoma (GBM) is a devastating disease with a grim prognosis. Patient survival is typically less than 2 years and fewer than 10% of patients survive more than 5 years. Magnetic Resonance Imaging (MRI) can have great utility in the diagnosis, grading and management of patients with GBM as many of the physical manifestations of the pathological processes in GBM can be visualized and quantified using MRI. Newer MRI techniques such as dynamic contrast enhanced (DCE) and dynamic susceptibility contrast (DSC) MRI provide functional information regarding the tumor hemodynamic status. Diffusion MRI can shed light on tumor cellularity and the disruption of white matter tracts in the proximity of tumors. MR spectroscopy can be used to study new tumor tissue markers such as IDH mutations. MRI is helping to noninvasively explore the link between the molecular basis of gliomas and the imaging characteristics of their physical processes. We will review several approaches to MR-based imaging and discuss the potential for these techniques to quantify the physical processes in glioblastoma including tumor cellularity and vascularity, metabolite expression, and patterns of tumor growth and recurrence. We will conclude with challenges and opportunities for further research in applying physical principles to better understand the biological process in this deadly disease.

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Section: Application Of Mr Physics To Glioblastomamentioning

confidence: 99%

Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

et al. 2014

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“…10 In oncology¯eld, MRI contrast agents are used to determine the oxygenation of tumors, di®erentiating tumors from healthy tissues and evaluate tumor grading. 11 Moreover, contrast agents administration enables the acquisition of tumor vascular information, such as vascular volume, blood°ow, permeability, vessel size and density and leakiness. 12 MRI contrast agents can be divided into three types (Table 1): paramagnetic compounds (e.g., gadolinium), ferromagnetic compounds (e.g., iron) and superparamagnetic compounds (e.g., SPIO).…”

Section: Characteristic Advantage Of Spiomentioning

confidence: 99%

Cellular Magnetic Resonance Imaging with Superparamagnetic Iron Oxide: Methods and Applications in Cancer

Hsu

Sun

Hsieh

2019

SPIN

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Superparamagnetic iron oxide (SPIO) has been used as a contrast agent for magnetic resonance imaging (MRI) since the late 20th century. With the development of SPIO, cellular MRI has been recognized as a suitable and highly sensitive noninvasive modality with great potential to benefit translational research. In addition to its traditional diagnostic property, latest advances have conferred SPIO with multifunctionality. Several SPIO-based theranostic probes with targeting, therapeutic and diagnosis components have been successfully developed. The objective of this brief review is to summarize the characteristics, synthesizing methods, labeling approaches and current applications of SPIO-based cellular MRI in oncology. Herein, we first depict the history, classification and advantages of and the differences between T1- and T2/T2*-based SPIO contrast agents for cancer treatment. Second, we outline current coating materials that render SPIO less toxic and more biocompatible to mammalian cells. Finally, the cell labeling techniques and applications of SPIO-based MRI for tracking mesenchymal stem cell tumor–homing in preclinical models are introduced.

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“…5(5), 622-629 623 and upgraded to meet this need. This is done through integrating the functional or biological techniques such as magnetic resonance spectroscopy (MRS) (Kauppinen and Peet, 2011).…”

Section: Issn: 2320-5407mentioning

confidence: 99%

Magnetic Resonance Spectroscopy and the Metabolic Fingerprint of Malignant Maxillofacial Tumors. A Diagnostic Accuracy Study.

Eiid¹,

Zayet²,

Dahaba³

2017

IJAR

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Objective: The purpose of this study was to define the malignant metabolic profile of maxillofacial lesions using Magnetic resonance spectroscopy. Subjects and Methods: Twenty-one patients with maxillofacial lesions were enrolled in this study through consecutive sampling.Single-voxel MRS was performed using a spin echo (point resolved spectroscopy) sequence. Qualitative and semi-quantitative analyses were performed to assess the choline and lactate peaks in benign and malignant lesions. Results: Statistical analysis showed that there was a significant difference between the mean of both metabolites in benign and malignant entities. The diagnostic accuracy of lactate was higher than that of choline. Threshold values of > 0.125 and 0.336 for lactate and choline were extracted in a trial to differentiate between both entities. Conclusion: Magnetic resonance spectroscopy is a state-of-art in the diagnostic arena and manifested itself as a key player in the differentiation process of maxillofacial tumors.

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Using magnetic resonance imaging and spectroscopy in cancer diagnostics and monitoring

Cited by 41 publications

References 153 publications

Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

Cellular Magnetic Resonance Imaging with Superparamagnetic Iron Oxide: Methods and Applications in Cancer

Magnetic Resonance Spectroscopy and the Metabolic Fingerprint of Malignant Maxillofacial Tumors. A Diagnostic Accuracy Study.

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