Literature DB >> 8678960

Two-dimensional proton magnetic resonance spectroscopy for tissue characterization of thyroid neoplasms.

W B Mackinnon1, L Delbridge, P Russell, C L Lean, G L May, S Doran, S Dowd, C E Mountford.   

Abstract

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.

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Year:  1996        PMID: 8678960     DOI: 10.1007/s002689900128

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  8 in total

Review 1.  Advances in metabolomics of thyroid cancer diagnosis and metabolic regulation.

Authors:  Raziyeh Abooshahab; Morteza Gholami; Maryam Sanoie; Fereidoun Azizi; Mehdi Hedayati
Journal:  Endocrine       Date:  2019-04-01       Impact factor: 3.633

2.  Application of magnetic-resonance-spectroscopy- based metabolomics to the fine-needle aspiration diagnosis of papillary thyroid carcinoma.

Authors:  Kate W Jordan; Christen B Adkins; Leo L Cheng; William C Faquin
Journal:  Acta Cytol       Date:  2011-12-09       Impact factor: 2.319

3.  Minimally invasive video-assisted thyroidectomy for small follicular thyroid nodules.

Authors:  Mohamed A F Hegazy; Ashraf A Khater; Ahmed E Setit; Mahmoud A Amin; Sherif Z Kotb; Mohamed A El Shafei; Tamer F Yousef; Osama Hussein; Yousef K Shabana; Ola T Abdel Dayem
Journal:  World J Surg       Date:  2007-09       Impact factor: 3.352

4.  Cell surface associated alpha-L-fucose moieties modulate human breast cancer neoplastic progression.

Authors:  Kun Yuan; Catherine M Listinsky; Raj K Singh; Jay J Listinsky; Gene P Siegal
Journal:  Pathol Oncol Res       Date:  2008-06-13       Impact factor: 3.201

Review 5.  Application of metabolomics in thyroid cancer research.

Authors:  Anna Wojakowska; Mykola Chekan; Piotr Widlak; Monika Pietrowska
Journal:  Int J Endocrinol       Date:  2015-04-20       Impact factor: 3.257

6.  Proteomics, and metabolomics: magnetic resonance spectroscopy for the presurgical screening of thyroid nodules.

Authors:  Michele N Minuto; Laetitia Shintu; Stefano Caldarelli
Journal:  Curr Genomics       Date:  2014-06       Impact factor: 2.236

7.  Human a-L-fucosidase-1 attenuates the invasive properties of thyroid cancer.

Authors:  Giancarlo Vecchio; Alessia Parascandolo; Chiara Allocca; Clara Ugolini; Fulvio Basolo; Marco Moracci; Andrea Strazzulli; Beatrice Cobucci-Ponzano; Mikko O Laukkanen; Maria Domenica Castellone; Nobuo Tsuchida
Journal:  Oncotarget       Date:  2017-04-18

Review 8.  The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.

Authors:  Margarida Coelho; Luis Raposo; Brian J Goodfellow; Luigi Atzori; John Jones; Bruno Manadas
Journal:  Int J Mol Sci       Date:  2020-07-24       Impact factor: 5.923

  8 in total

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