Literature DB >> 16271082

Computerized nuclear morphometry in thyroid follicular neoplasms.

Sheng-Lan Wang1, Ming-Tsang Wu, Sheau-Fang Yang, Hon-Man Chan, Chee-Yin Chai.   

Abstract

Differential diagnosis of follicular adenoma (FA) and follicular carcinoma (FC) of the thyroid can be challenging in the routine practice of surgical pathology because the diagnosis of FC is strictly defined and identification depends on the presence of invasion of the capsule or blood vessels. These features may be equivocally presented in the histological sections and interpreted subjectively by different pathologists, so an objective approach to solve this problem is essential. Computerized morphometry is a scientific tool to evaluate cellular changes and it can enhance the interpretation of morphological features by the transformation of pathological changes in cells to a qualitative form. The present study investigated the diagnostic role of objective computerized nuclear morphometry in follicular neoplasms. Thirty-six cases of thyroid FC and 36 cases of FA from patients who were matched by age and sex were studied. Four nuclear parameters were selected and analyzed: mean nuclear area, mean nuclear perimeter, largest to smallest diameter ratio of the nuclei, and coefficient of variation of the nuclear area. The results indicate that all the chosen nuclear variables were significantly correlated with the FA and FC studied. In conclusion, computerized nuclear morphometry can be considered a helpful ancillary tool for differential diagnosis of FA and FC.

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Year:  2005        PMID: 16271082     DOI: 10.1111/j.1440-1827.2005.01895.x

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  5 in total

1.  Penalized Fisher Discriminant Analysis and Its Application to Image-Based Morphometry.

Authors:  Wei Wang; Yilin Mo; John A Ozolek; Gustavo K Rohde
Journal:  Pattern Recognit Lett       Date:  2011-11-01       Impact factor: 3.756

2.  Computerized nuclear morphometry in the diagnosis of thyroid lesions with predominant follicular pattern.

Authors:  Ha Aiad; Ag Abdou; Ma Bashandy; An Said; Ss Ezz-Elarab; Aa Zahran
Journal:  Ecancermedicalscience       Date:  2009-09-17

3.  Programmed death-ligand 1 expression by digital image analysis advances thyroid cancer diagnosis among encapsulated follicular lesions.

Authors:  Anne M-Y Hsieh; Olena Polyakova; Guodong Fu; Ronald S Chazen; Christina MacMillan; Ian J Witterick; Ranju Ralhan; Paul G Walfish
Journal:  Oncotarget       Date:  2018-04-13

4.  Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis-Preliminary Report.

Authors:  Shyang-Rong Shih; I-Shiow Jan; Kuen-Yuan Chen; Wan-Yu Chuang; Chih-Yuan Wang; Yung-Lien Hsiao; Tien-Chun Chang; Argon Chen
Journal:  Cancers (Basel)       Date:  2019-10-25       Impact factor: 6.639

5.  Morphometric Analysis of Thyroid Follicular Cells with Atypia of Undetermined Significance.

Authors:  Youngjin Kang; Yoo Jin Lee; Jiyoon Jung; Youngseok Lee; Nam Hee Won; Yang Seok Chae
Journal:  J Pathol Transl Med       Date:  2016-06-13
  5 in total

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