Musculoskeletal tumors: Use of proton MR spectroscopic imaging for characterization

Fayad, Laura M.; Bluemke, David A.; McCarthy, Edward F.; Weber, Kristin L.; Barker, Peter B.; Jacobs, Michael A.

doi:10.1002/jmri.20448

Cited by 63 publications

(60 citation statements)

References 69 publications

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“…Cholinecontaining compounds are constituents of the phospholipid metabolism of cell membranes that reflect cell membrane turnover, a feature of malignancy. Whereas proton MR spectroscopy has been a more routine part of a tumor imaging protocol in the brain, it has recently been explored in the musculoskeletal system (49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59).…”

Section: Proton Mr Spectroscopy (Metabolic Technique)mentioning

confidence: 99%

Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR Techniques

Jacobs²,

et al. 2012

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Section: Proton Mr Spectroscopy (Metabolic Technique)mentioning

confidence: 99%

Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR Techniques

Jacobs²,

et al. 2012

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“…Recent studies that used proton MRS have opened up the feasibility of investigating muscle metabolism 7 , 13 , 14 . Proton MRS studies have been performed to evaluate musculoskeletal tumors 8 , 9 , 12 , 15 , 16 and muscle metabolism in neuromuscular diseases (7) and to study human muscle with normal and different pathological conditions 5 , 6 , 13 , 14 , 17 …”

Section: Introductionmentioning

confidence: 99%

In vivo MR spectroscopy using 3 Tesla to investigate the metabolic profiles of joint fluids in different types of knee diseases

Jin

Woo

Jahng

2016

J Applied Clin Med Phys

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In vivo proton (H1) magnetic resonance spectroscopy (MRS) has not yet been systematically used to study joint fluids in human knees. The objective of this study, therefore, was to assess the ability of proton MRS to identify the apparent heterogeneous characteristics of metabolic spectra in the joint fluid regions in human knees using a high‐field MRI system. Eighty‐four patients with effusion lesions who were referred for routine knee MR imaging underwent proton MRS with point‐resolved, single‐voxel MR spectroscopy using a clinical 3.0 Tesla MRI system. Thirty‐eight patients were confirmed to have the following: degenerative osteoarthritis, 21 patients (Group 1); traumatic diseases, 12 patients (Group 2); infectious diseases, 4 patients and an inflammatory disease, 1 patient (Group 3). Spectroscopy data were analyzed using the public jMRUI freeware software to obtain lipid metabolites. Nonparametric statistical comparisons were performed to investigate any differences in metabolites among the three disease groups. The major metabolites were vinylic CH=CH lipids around 5.1−5.5 ppm, CH2 lipids around 1.1−1.5 ppm, and CH3 lipids around 0.7−1.0 ppm. Each patient had either a CH=CH lipid peak, CH2 and CH3 lipid peaks, or all three peaks. There were no significant differences among the three groups for the CH3 (normalp=0.9019), CH2 (normalp=0.6406), and CH=CH lipids (p=0.5467) and water (p=0.2853); none of the metabolites could differentiate between any of the three types of diseases. The CH2 lipids in the 38 patients who had confirmed fluid characteristics were significantly correlated with CH3 lipids (italicrho=0.835, p<0.0001). The ratio of CH3 to CH2 was highest in the degenerative disease. In both the degenerative and traumatic diseases, metabolite peaks of the vinylic CH=CH lipids around 5.1−5.5 ppm and of the sum of the CH2 and CH3 lipids around 0.7−1.5 ppm were observed, but in the infectious disease, only a metabolite peak of the sum of the CH2 and CH3 lipids was detected. Although none of the metabolites could statistically significantly differentiate between the three types of diseases, the different lipid metabolite peaks and their ratios in the three disease groups may give us a hint at the different mechanisms of joint fluids in the infectious, degenerative, and traumatic diseases.PACS number(s): 87.61.Ff, 33.25.+k, 87.14.Cc

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“…CSI has also been utilized to detect intracranial mobile lipids in the rat brain utilizing an ultrashort echo time (TE) (18). Another study showed promise in the use of CSI as a noninvasive method of differentiating malignant skeletal tumors from nonmalignant tissue (19).…”

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confidence: 99%

In vivo MRS assessment of altered fatty acyl unsaturation in liver tumor formation of a TGFα/c-myc transgenic mouse model

Griffitts

Tesiram

Reid

et al. 2009

Journal of Lipid Research

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Current detection methods (computed tomography, ultrasound, and MRI) for hepatocarcinogenesis in humans rely on visual confirmation of neoplastic formations. A more effective early detection method is needed. Using in vivo magnetic resonance spectroscopy (MRS), we show that alterations in the integral ratios of the bis-allyl to vinyl hydrogen protons in unsaturated lipid fatty acyl groups correlate with the development of neoplastic formations in vivo in a TGFa/c-myc mouse hepatocellular carcinoma (HCC) model. HPLC analysis of the TGFa/c-myc mice liver tissue revealed a significant increase in the amount of oleic acid, along with alterations in linoleic and g-linolenic acids, as compared with control CD1 mice. Electrospray ionization tandem mass spectrometry analysis indicated a significant increase in the abundance of specific glycerol phosphatidylcholine (GPCho) lipids containing palmitic and oleic acids between control CD1 and TGFa/c-myc mice liver tissue extracts. Western blot analysis of the mice liver tissue indicates alterations in the desaturase enzyme stearoyl CoA desaturase (SCD)1, responsible for palmitic and oleic acid formation. Microarray analysis detected alterations in several genes involved with fatty acid metabolism, particularly SCD2, in transgenic mouse liver tissue. In correlation with the HPLC, mass spectrometry, Western blot, and microarray analyses, we are able to confirm the ability of in vivo MRS to detect precancerous lesions in the mouse liver before visual neoplastic formations were detectable by MRI. Hepatocellular carcinoma (HCC) is one of the most deadly forms of cancer in the world. The World Health Organization reports that liver cancer is the third highest cause of death from cancer, with HCC being predominantly observed in Asian and African countries (1). There are many known causes of HCC, including hepatitis B and C, cirrhosis, and aflatoxin exposure. The techniques currently used for diagnosis of liver cancer rely on imaging modalities (MRI, computed tomography, and ultrasound) that, at the highest sensitivity, are able to detect evidence of neoplasia when there is a formation of at least 1 mm. Image confirmation of a neoplasm this size usually only occurs at a later stage in cancer development when therapy treatments are not as effective. Therefore, the prognosis for a patient when they have visual evidence of neoplasia is poor. Additionally, neoplasms at the lower range of imaging detection are often unverifiable without biopsy. There is a need, therefore, to develop a method that can detect neoplastic formations at an earlier stage than those now in use.The efficacy of utilizing MRI, which mainly detects only protons from water hydrogens, for hepatic tumor detection and the measurement of tumor volumetric growth has been established previously (2, 3). We have utilized MRI in this study for visual confirmation of neoplastic tissue formations in the TGFa/c-myc mouse liver tumor model. In addition to the MRI visible liver changes, there have been several metabolic ...

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Musculoskeletal tumors: Use of proton MR spectroscopic imaging for characterization

Cited by 63 publications

References 69 publications

Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR Techniques

Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR Techniques

In vivo MR spectroscopy using 3 Tesla to investigate the metabolic profiles of joint fluids in different types of knee diseases

In vivo MRS assessment of altered fatty acyl unsaturation in liver tumor formation of a TGFα/c-myc transgenic mouse model

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