Literature DB >> 22441894

The quest for diagnostic molecular markers for thyroid nodules with indeterminate or suspicious cytology.

Guennadi Kouniavsky1, Martha A Zeiger.   

Abstract

Thyroid nodules are very common and fine needle aspiration (FNA) is a very sensitive means of diagnosis. However, its limitations include the fact that the cytology reports are often indeterminate or suspicious only. The quest for adjunctive measures to improve its specificity has been ongoing for decades, but significant results have remained elusive. The potential use of diagnostic molecular markers appears to be the most promising area of research at this time.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22441894     DOI: 10.1002/jso.21935

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  5 in total

Review 1.  Progress in molecular-based management of differentiated thyroid cancer.

Authors:  Mingzhao Xing; Bryan R Haugen; Martin Schlumberger
Journal:  Lancet       Date:  2013-03-22       Impact factor: 79.321

2.  Follicular adenomas exhibit a unique metabolic profile. ¹H NMR studies of thyroid lesions.

Authors:  Stanisław Deja; Tomasz Dawiskiba; Waldemar Balcerzak; Magdalena Orczyk-Pawiłowicz; Mateusz Głód; Dorota Pawełka; Piotr Młynarz
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

3.  Serum and urine 1H NMR-based metabolomics in the diagnosis of selected thyroid diseases.

Authors:  Wojciech Wojtowicz; Adam Zabek; Stanislaw Deja; Tomasz Dawiskiba; Dorota Pawelka; Mateusz Glod; Waldemar Balcerzak; Piotr Mlynarz
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

4.  Promise and pitfalls of molecular markers of thyroid nodules.

Authors:  S Jadhav; Anurag Lila; Tushar Bandgar; Nalini Shah
Journal:  Indian J Endocrinol Metab       Date:  2012-12

5.  Value of distinguishing differentiated thyroid carcinoma by miRNA.

Authors:  Jianlin Xu; Ding Zhang; Qian Niu; Yonggang Nan; Changbei Shi; Hua Zhao; Xiaoyan Liang
Journal:  Oncol Lett       Date:  2016-05-12       Impact factor: 2.967

  5 in total

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