Literature DB >> 28913847

Incidence, malignancy rates of diagnoses and cyto-histological correlations in the new Italian Reporting System for Thyroid Cytology: An institutional experience.

P Straccia1, A Santoro1, E D Rossi1, C Brunelli1, C Mosseri1, T Musarra1, A Pontecorvi2, C P Lombardi3, G Fadda1.   

Abstract

OBJECTIVE: FNA biopsy is considered as the most accurate method for the selection of patients with thyroid nodules that need for surgery or for the wait and see management. The aim of the present study is to clarify the risk of malignancy for the cytological data classified according to the 2014 Italian reporting system.
METHODS: We report a retrospective analysis of 4043 patients in our institution's experience during the period April 2014 through December 2016 with the Italian reporting system for thyroid cytology.
RESULTS: The diagnostic incidences of the 4043 cases were as follows: 9.8% TIR1; 1.3% TIR1C; 70% TIR2; 6.6% TIR3A; 4.5% TIR3B; 2.4% TIR4; 5.2% TIR5. A repeated aspiration was carried out in 68 out of 269 cases (25%) classified as TIR3A. A total of 407 cases with cytology underwent surgical resection. A malignant neoplasm was detected in 261 out of 407 (64%) cases. Regarding TIR3B, surgical excision was undertaken in 109 cases, which included 42 high-risk lesions and 67 Hürthle cell neoplasms. The risk of malignancy was significantly higher in the former compared to the latter (50% vs 9%; P<.05).
CONCLUSIONS: This investigation emphasises the reliability of the 2014 Italian Reporting System concerning the mutual frequency of the diagnostic categories. The risk of malignancy is perfectly within the range of the estimated values.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  cytology; fine needle aspiration; reporting system; thyroid nodules

Mesh:

Year:  2017        PMID: 28913847     DOI: 10.1111/cyt.12455

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  7 in total

Review 1.  Thyroid Nodules with Indeterminate FNAC According to the Italian Classification System: Prevalence, Rate of Operation, and Impact on Risk of Malignancy. An Updated Systematic Review and Meta-analysis.

Authors:  Pierpaolo Trimboli; Giulia Ferrarazzo; Carlo Cappelli; Arnoldo Piccardo; Marco Castellana; Jessica Barizzi
Journal:  Endocr Pathol       Date:  2022-08-31       Impact factor: 4.056

2.  Risk of Malignancy (ROM) of Thyroid FNA Diagnosed as Suspicious for Malignancy or Malignant: an Institutional Experience with Systematic Review and Meta-Analysis of Literature.

Authors:  Pierpaolo Trimboli; Franco Fulciniti; Gaetano Paone; Jessica Barizzi; Arnoldo Piccardo; Elisabetta Merlo; Luca Mazzucchelli; Luca Giovanella
Journal:  Endocr Pathol       Date:  2020-03       Impact factor: 3.943

3.  Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms.

Authors:  Yangyang Hao; Quan-Yang Duh; Richard T Kloos; Joshua Babiarz; R Mack Harrell; S Thomas Traweek; Su Yeon Kim; Grazyna Fedorowicz; P Sean Walsh; Peter M Sadow; Jing Huang; Giulia C Kennedy
Journal:  BMC Syst Biol       Date:  2019-04-05

4.  Impact of the Italian Society of Anatomic Pathology and Diagnostic Cytology Classification of Thyroid Nodules in the Treatment of Indeterminate Follicular Lesions: Five-Year Results at a Single Center.

Authors:  M Pastoricchio; A Cubisino; A Lanzaro; M Troian; F Zanconati; S Bernardi; B Fabris; N de Manzini; C Dobrinja
Journal:  Int J Endocrinol       Date:  2020-04-14       Impact factor: 3.257

5.  Operation rate and cancer prevalence among thyroid nodules with FNAC report of suspicious for malignancy (TIR4) or malignant (TIR5) according to Italian classification system: a systematic review and meta-analysis.

Authors:  Pierpaolo Trimboli; Giulia Ferrarazzo; Arnoldo Piccardo; Barbara Lucchini; Cosimo Durante
Journal:  Endocrine       Date:  2022-08-20       Impact factor: 3.925

6.  Could Serum TSH Levels Predict Malignancy in Euthyroid Patients Affected by Thyroid Nodules with Indeterminate Cytology?

Authors:  Carlo Cappelli; Ilenia Pirola; Elena Gandossi; Mario Rotondi; Davide Lombardi; Claudio Casella; Fiorella Marini; Maura Saullo; Barbara Agosti; Elena Di Lodovico; Luca Chiovato; Alberto Ferlin; Maurizio Castellano
Journal:  Int J Endocrinol       Date:  2020-04-21       Impact factor: 3.257

7.  Predictive factors of malignancy in pediatric patients with thyroid nodules and performance of the Italian classification (SIAPEC 2014) in the outcome of the cytological FNA categories.

Authors:  Gerdi Tuli; Jessica Munarin; Erica Agosto; Patrizia Matarazzo; Francesco Quaglino; Alberto Mormile; Luisa de Sanctis
Journal:  Endocrine       Date:  2021-06-14       Impact factor: 3.633

  7 in total

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