Cytology of follicular thyroid tumors, quality assurance, and differential diagnosis

2010 ◽  
Vol 49 (1) ◽  
pp. 48-54 ◽  
Author(s):  
Miyoko MAEKAWA ◽  
Mitsuyoshi HIROKAWA ◽  
Yukari YANASE ◽  
Seiji KUMA ◽  
Akira MIYAUCHI
Keyword(s):  
Quality Assurance ◽  
Differential Diagnosis ◽  
Thyroid Tumors ◽  
Follicular Thyroid Tumors

miRNAs with the Potential to Distinguish Follicular Thyroid Carcinomas from Benign Follicular Thyroid Tumors: Results of a Meta-analysis

2014 ◽  
Vol 46 (03) ◽  
pp. 171-180 ◽  
Author(s):  
T. Stokowy ◽  
B. Wojtaś ◽  
K. Fujarewicz ◽  
B. Jarząb ◽  
M. Eszlinger ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Thyroid Tumors ◽  
Thyroid Carcinomas ◽  
Follicular Thyroid Tumors

scholarly journals A PCR-based expression signature of malignancy in follicular thyroid tumors

2007 ◽  
Vol 14 (2) ◽  
pp. 381-391 ◽  
Author(s):  
Theodoros Foukakis ◽  
Arief Gusnanto ◽  
Amy YM Au ◽  
Anders Höög ◽  
Weng-Onn Lui ◽  
...  
Keyword(s):  
High Risk ◽  
Gene Selection ◽  
Thyroid Neoplasms ◽  
Thyroid Tumors ◽  
Large Tumor ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Expression Levels ◽  
High Risk Disease ◽  
Follicular Thyroid Tumors

The diagnosis of follicular thyroid carcinoma (FTC) in the absence of metastasis can only be established postoperatively. Moreover, high-risk FTCs are often not identifiable at the time of diagnosis. In this study, we aimed to identify transcriptional markers of malignancy and high-risk disease in follicular thyroid tumors. The expression levels of 26 potential markers of malignancy were determined in a panel of 75 follicular thyroid tumors by a TaqMan quantitative RT-PCR approach. Logistic regression analysis (LRA) was used for gene selection and generation of diagnostic and prognostic algorithms. An algorithm based on the expression levels of five genes (TERT, TFF3, PPARγ, CITED1, and EGR2) could effectively predict high-risk disease with a specificity of 98.5%. The metastatic potential could be predicted in all four cases with apparently benign or minimally invasive (MI) disease at the time of diagnosis, but poor long-term outcome. In addition, a second model was produced by implementing two genes (TERT and TFF3), which was able to distinguish adenomas from de facto carcinomas. When this model was tested in an independent series of atypical adenomas (AFTA) and MI-FTCs, 16 out of 17 AFTAs were classified as ‘benign’, while MI-FTCs with vascular invasion (sometimes referred to as ‘moderately invasive’) and/or large tumor size tended to classify in the ‘malignant’ group. The reported models can be the foundation for the development of reliable preoperative diagnostic and prognostic tests that can guide the therapeutic approach of follicular thyroid neoplasms with indeterminate cytology.

scholarly journals DNA Microarray and miRNA Analyses Reinforce the Classification of Follicular Thyroid Tumors

2013 ◽  
Vol 98 (5) ◽  
pp. E981-E989 ◽  
Author(s):  
Caroline Jacques ◽  
Delphine Guillotin ◽  
Jean-Fred Fontaine ◽  
Brigitte Franc ◽  
Delphine Mirebeau-Prunier ◽  
...  
Keyword(s):  
Dna Microarray ◽  
Thyroid Tumors ◽  
Follicular Thyroid Tumors

scholarly journals Determination of galectin-3 expression in the tissue of follicular thyroid tumors

2011 ◽  
Vol 7 (1) ◽  
pp. 45
Author(s):  
E A Kogan ◽  
N A Petunina ◽  
T V Chernyshova ◽  
D V Lukyanchenko
Keyword(s):  
Thyroid Tumors ◽  
Galectin 3 ◽  
Follicular Thyroid Tumors

scholarly journals Frequency ofRASMutations andPAX8/PPARγRearrangement in Follicular Thyroid Tumors in Korea

2012 ◽  
Vol 27 (1) ◽  
pp. 45 ◽  
Author(s):  
Hye Jeong Kim ◽  
Hye Won Jang ◽  
Seo Young Sohn ◽  
Yoon-La Choi ◽  
Hee-Jin Kim ◽  
...  
Keyword(s):  
Thyroid Tumors ◽  
Follicular Thyroid Tumors

Thyroid Peroxidase Immunohistochemistry in Differential Diagnosis of Thyroid Tumors

2006 ◽  
Vol 17 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Svetlana Savin ◽  
Dubravka Cvejic ◽  
Tijana Isic ◽  
Ivana Petrovic ◽  
Ivan Paunovic ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Thyroid Peroxidase ◽  
Thyroid Tumors

Follicular Thyroid Tumors

2011 ◽  
pp. 1441-1443
Author(s):  
Jean-Michel Bidart ◽  
Martin Schlumberger
Keyword(s):  
Thyroid Tumors ◽  
Follicular Thyroid Tumors
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