Literature DB >> 23055017

Significance of AgNORs and ki-67 proliferative markers in differential diagnosis of thyroid lesions.

Hayam A Aiad1, Manar A Bashandy, Asmaa G Abdou, Ahmad A Zahran.   

Abstract

We aimed to assess the utility of quantitative analysis of AgNORs and Ki67 labeling index (LI) in the differential diagnosis of different thyroid lesions. This study included: 25 papillary carcinomas, 7 follicular carcinomas, 21 follicular adenomas and 27 nodular goiters. Using a semiautomatic image analysis system, Ag NORs parameters were measured and calculated including: total area of AgNORs, mean Ag NOR number in nuclei, nuclear area, mean area of AgNOR dots per each nucleus, number of central and marginal AgNOR dots, and the relative ratio of total area of AgNOR dots/total area of nucleus. Ki67 immunostaining was performed and the LI was determined. There was a significant difference between groups of thyroid lesions regarding total area of AgNORs, Ag NOR number and number of marginal Ag NOR dots. According to receiver operating characteristic curve, Ag NORs number =2.91 and marginal Ag NORs = 2.67 were useful cut off values above which follicular carcinoma can be diagnosed with 100 % sensitivity, 79 % specificity, 76 % PPV, 100 % NPV and 85 % diagnostic accuracy for both parameters. Mean Ki67 LI in our study was 14.12 ± 2.29, 61.42 ± 3.77, 34.90 ± 3.49 and 18.60 ± 1.96 for papillary carcinoma, follicular carcinoma, follicular adenoma and nodular goiter respectively. Ki67 LI showed statistically significant difference between follicular carcinoma and follicular adenoma (p = 0.026) and between papillary carcinoma and follicular adenoma (p = 0.007). Quantification of Ag NORs and Ki67 LI could be used as helpful ancillary methods in the differentiation between different thyroid lesions.

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Year:  2012        PMID: 23055017     DOI: 10.1007/s12253-012-9565-1

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  37 in total

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3.  [Practical application of proliferation markers' (MIB-1, PCNA, AgNOR) expression analysis for differential diagnostics of nodular thyroid lesions].

Authors:  Iwona Lewy-Trenda; Janusz Janczukowicz; Agnieszka Wierzchniewska-Lawska
Journal:  Wiad Lek       Date:  2006

4.  Significance of AgNOR counts for distinguishing carcinoma from adenoma and hyperplasia in parathyroid gland.

Authors:  E Kanematsu; H Matsui; T Deguchi; O Yamamoto; M Korematsu; A Kobayashi; S I Nezasa; N Yamamoto; T Takeuchi; T Tanaka; Y Kawada
Journal:  Hum Pathol       Date:  1997-04       Impact factor: 3.466

5.  Pure versus follicular variant of papillary thyroid carcinoma: clinical features, prognostic factors, treatment, and survival.

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Journal:  Cancer       Date:  2003-03-01       Impact factor: 6.860

6.  Diagnostic value of AgNOR staining in follicular cell neoplasms of the thyroid: comparison of evaluation methods and nucleolar features.

Authors:  J Rüschoff; C Prasser; T Cortez; H M Höhne; W Hohenberger; F Hofstädter
Journal:  Am J Surg Pathol       Date:  1993-12       Impact factor: 6.394

7.  Proliferative activity in oral carcinomas studied with Ag-NOR and electron microscopy.

Authors:  Raja Kummoona; Ali Jabbar; Dhamia Kareem Al-Rahal
Journal:  Ultrastruct Pathol       Date:  2008 Jul-Aug       Impact factor: 1.094

8.  Morphometric parameters and silver stain used in diagnosis of thyroid follicular diseases.

Authors:  Delia Ciobanu; Irina Draga Căruntu; Carmen Vulpoi; Niculina Florea; Simona Elisa Giuşcă
Journal:  Rom J Morphol Embryol       Date:  2006       Impact factor: 1.033

9.  Ki-67 and AgNOR proliferative markers as diagnostic adjuncts to fine needle aspiration cytology of thyroid follicular lesions.

Authors:  Anju Mehrotra; Madhu Mati Goel; Kamlesh Singh
Journal:  Anal Quant Cytol Histol       Date:  2002-08       Impact factor: 0.302

10.  HBME-1 immunostaining in thyroid tumors especially in follicular neoplasm.

Authors:  Takahiro Mase; Hiroomi Funahashi; Takashi Koshikawa; Tsuneo Imai; Yoshiharu Nara; Yuji Tanaka; Akimasa Nakao
Journal:  Endocr J       Date:  2003-04       Impact factor: 2.349

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  2 in total

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Authors:  Kaoru Kobayashi; Hisashi Ota; Mitsuyoshi Hirokawa; Tomonori Yabuta; Mitsuhiro Fukushima; Hiroo Masuoka; Takuya Higashiyama; Minoru Kihara; Yasuhiro Ito; Akihiro Miya; Akira Miyauchi
Journal:  Eur Thyroid J       Date:  2016-12-13

Review 2.  Can We Predict Differentiated Thyroid Cancer Behavior? Role of Genetic and Molecular Markers.

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Journal:  Medicina (Kaunas)       Date:  2021-10-19       Impact factor: 2.948

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