Two-Dimensional Proton Magnetic Resonance Spectroscopy for Tissue Characterization of Thyroid Neoplasms
Autor: | Carolyn E. Mountford, Peter Russell, Susan Dowd, Sinead Doran, George L. May, Leigh Delbridge, Cynthia L. Lean, Wanda B. Mackinnon |
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Rok vydání: | 1996 |
Předmět: |
Adenoma
Thyroid nodules Pathology medicine.medical_specialty Magnetic Resonance Spectroscopy Thyroid Gland Diglycerides Thyroid carcinoma Carcinoma Humans Medicine Thyroid Neoplasms Thyroid Nodule Amino Acids Triglycerides Fucosylation Fucose Hyperplasia business.industry Thyroid Nuclear magnetic resonance spectroscopy medicine.disease Lipids Cholesterol medicine.anatomical_structure Lactates Surgery Cholesterol Esters Protons business Hydrogen |
Zdroj: | World Journal of Surgery. 20:841-847 |
ISSN: | 1432-2323 0364-2313 |
DOI: | 10.1007/s002689900128 |
Popis: | We have previously demonstrated that one dimensional (1D) proton (1H) magnetic resonance spectroscopy (MRS) can distinguish normal thyroid tissue from thyroid carcinoma using a spectral ratio of peak intensity at 1.7 ppm/0.9 ppm. Two dimensional (2D) 1H-MRS allows identification of specific molecules that have overlapping peaks in the 1D-MR spectrum. Specimens from 93 consecutive thyroid nodules were examined using 2D 1H-MRS on a Bruker AM-360 wide-bore spectrometer. There was a progressive increase in lipid cross peaks assigned to di-/triglycerides when comparing colloid/hyperplastic nodules to follicular adenoma, and adenoma to carcinoma. A specific cross peak attributable to cholesterol/cholesteryl esters was commonly seen in carcinomas. In contrast, two unassigned cross peaks unique to the thyroid were more prevalent in benign lesions. There was an overall increase in cross peaks attributable to cell surface fucosylation in carcinoma when compared to benign lesions, although the fucose spectral pattern was not specific for cancer. On this basis, a spectral ratio of peak intensity at 2.05 ppm/0.9 ppm more clearly distinguished benign follicular adenoma from carcinoma. 2D 1H-MRS thus identifies chemical changes that allow more specific tissue characterization of thyroid neoplasms. |
Databáze: | OpenAIRE |
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