Literature DB >> 19942981

[Contribution of nuclear texture analysis for the differential diagnosis of follicular lesions of the thyroid: comparison to immunohistochemical markers].

Rita C Ferreira, Laura S Ward, Randall L Adam, Neucimar J Leite, Konradin Metze, Patrícia S de Matos.   

Abstract

OBJECTIVE AND METHODS: To investigate the utility of nuclear chromatin texture assessment in the differential diagnosis of follicular patterned lesions, by means of examining 76 samples previously submitted to the immunohistochemical protein analysis of HBME-1, CK-19 and galectina-3.
RESULTS: HBME-1 confirmed to be the most sensitive marker of malignancy. A series of morphometric, densitometric and texture variables were useful in the discrimination of the different types of follicular lesions. Among these variables, r(2), a parameter related to the granularity of the nucleus presented the best accuracy, sensitivity, specificity and positive and negative predictive values, distinguishing benign from malignant lesions.
CONCLUSION: The morphometric analysis of nuclear chromatin images may add accuracy to the differential diagnosis of follicular patterned lesions.

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Year:  2009        PMID: 19942981     DOI: 10.1590/s0004-27302009000700003

Source DB:  PubMed          Journal:  Arq Bras Endocrinol Metabol        ISSN: 0004-2730


  2 in total

1.  Chromatin changes in papillary thyroid carcinomas may predict patient outcome.

Authors:  R C Ferreira; L L Cunha; P S Matos; R L Adam; F Soares; J Vassallo; L S Ward
Journal:  Cell Oncol (Dordr)       Date:  2012-12-05       Impact factor: 6.730

2.  Multi-institutional validation of a novel textural analysis tool for preoperative stratification of suspected thyroid tumors on diffusion-weighted MRI.

Authors:  Anna M Brown; Sidhartha Nagala; Mary A McLean; Yonggang Lu; Daniel Scoffings; Aditya Apte; Mithat Gonen; Hilda E Stambuk; Ashok R Shaha; R Michael Tuttle; Joseph O Deasy; Andrew N Priest; Piyush Jani; Amita Shukla-Dave; John Griffiths
Journal:  Magn Reson Med       Date:  2015-05-20       Impact factor: 4.668

  2 in total

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