Statistical Classification Strategy for Proton Magnetic Resonance Spectra of Soft Tissue Sarcoma: An Exploratory Study with Potential Clinical Utility

Purpose: Histological grading is currently one of the best predictors of tumor behavior and outcome in soft tissue sarcoma. However, occasionally there is significant disagreement even among expert pathologists. An alternative method that gives more reliable and non-subjective diagnostic information is needed. The potential use of proton magnetic resonance spectroscopy in combination with an appropriate statistical classification strategy was tested here in differentiating normal mesenchymal tissue from soft tissue sarcoma

The role of magnetic resonance spectroscopic imaging in the prediction of treatment outcome in prostate cancer

NRC publication: Ye

Chemical exchange in tissue extracts revisited : Bicarbonate and deuterium isotope effects on 31P resonances of phosphoethanolamine and phosphocreatine

NRC publication: Ye

Tissue NMR Ex Vivo

NRC publication: Ye

Characterization of synovial tissue from arthritis patients : a proton magnetic resonance spectroscopic investigation

Hypoxia may contribute to the pathogenesis of synovitis in rheumatoid arthritis (RA). Magnetic resonance spectroscopy (MRS) is a technique that uses radiofrequency waves to generate a signal which allows a qualitative and quantitative assessment of the biochemical composition of tissue. MRS was used to evaluate RA synovial tissue for evidence of hypoxia and anaerobic metabolism. Synovial tissue samples obtained from eighteen RA patients and four osteoarthritis control patients undergoing total knee replacement were analyzed using proton MRS, processed for histopathology and scored for inflammation and vascularity. Spectra from severely and mildly inflamed tissue differed in peak intensity at regions 1.3 ppm (representing lactic acid and lipid), 3.0 ppm (representing creatine), 3.2 ppm (representing choline containing metabolites), and 3.8 ppm (representing carbohydrates, possibly glucose). With increasing inflammation, the intensities of the peak resonance at 1.3 ppm increased and that at 3.8 ppm decreased. The intensities of the 3.8 and 3.0 ppm peaks were reduced in highly vascular tissue. Specific MR spectral features reflect the anaerobic metabolism that is evident with progressively increasing degrees of RA synovial inflammation and vascularity. These features correlate partially with synovial histopathology.Peer reviewed: YesNRC publication: Ye

MR metabolomics of fecal extracts: applications in the study of bowel diseases

NMR-based metabolomics is becoming a useful tool in the study of body fluids and has a strong potential to contribute to disease diagnosis. While applications on urine and serum have been the focus to date, there are a number of other body fluids that are readily available and could potentially be used for metabolomics-based disease diagnosis. One such body fluid is stool or fecal extract. Given its contact with and transient stay in the colon and rectum, stool carries a lot of useful information regarding the health/disease status of both the colon and the rectum. This could be particularly useful for the non-invasive diagnosis of colorectal cancer and inflammatory bowel disease\u2014the two bowel diseases that are very common and pose significant public health problems. Different methodological considerations including the collection of sample, the storage of sample, the preparation of sample, NMR acquisition parameters, experimental conditions and data analysis methods are discussed. Results obtained in the detection of colorectal cancer and in the differentiation of the two major forms of inflammatory bowel disease (i.e. ulcerative colitis and Crohn's disease) are presented. This is concluded with a brief discussion on the future of MR metabolomics of fecal extracts.Peer reviewed: YesNRC publication: Ye

Detection of inflammatory bowel disease by proton magnetic resonance spectroscopy (¹H MRS) using an animal model

<p>Abstract</p> <p>Background</p> <p>The aim of this study was to analyze the potential of proton magnetic resonance spectroscopy (¹H MRS) in diagnosing early inflammatory bowel disease (IBD).</p> <p>Methods</p> <p>Thirty male Sprague Dawley rats were fed 2% carrageenan in their diet for either 1 or 2 weeks. ¹H MRS was performed <it>ex-vivo </it>on colonic mucosal samples (n = 123) and the spectra were analyzed by a multivariate method of analysis. The results of the multivariate analysis were correlated with histological analysis performed using H & E stain for the presence of inflammation in the samples from each group.</p> <p>Results</p> <p>Multivariate analysis classified the samples in their respective groups with an accuracy of 82%. Our region selection algorithm identified four regions in the spectra as being discriminatory. The metabolites assigned to these regions include creatine, phosphatidylcholine, the -C<b>H</b>₂HC= group in fatty acyl chain, and the glycerol backbone of lipids. The differences in concentration of these metabolites in each group offer insight into the biochemical changes occurring during IBD and confer diagnostic potential to ¹H MRS as a tool to study colonic inflammation in conjunction with biopsy.</p> <p>Conclusion</p> <p>¹H MRS is a sensitive tool to detect early colonic inflammation in an animal model of IBD.</p

Magnetic resonance spectroscopy of bile in the detection of cholangiocarcinoma

Peer reviewed: YesNRC publication: Ye