Literature DB >> 29182368

Fine needle aspiration biopsy of thyroid nodule smaller than 1.0 cm: accuracy of TIRADS classification system in more than 1000 nodules.

Guilherme F Mendes1, Marcio Rt Garcia2, Priscila M Falsarella1, Antonio Rahal1, Francisco A Cavalcante Junior1, Daniela R Nery2, Rodrigo G Garcia1.   

Abstract

OBJECTIVE: To identify whether or not the same ultrasound features can be applied and should be considered to support the decision as to which subcentimeter nodules should be biopsied with fine needle aspiration (FNAB).
METHODS: Single-institution, IRB approved, retrospective study conducted from 2008 to 2016 that evaluated 1094 thyroid nodules smaller than 1.0 cm that were classified according to TIRADS and submitted for FNAB.
RESULTS: The value of FNAB of thyroid nodules smaller than 1.0 cm were assessed and correlated with the sonographic criteria by comparing the obtained results with the cytological findings in 1094 thyroid nodules. In the analysis considering all nodules, the proportion of malignancies among nodules with TIRADS 2 is 0.91% and for TIRADS 3 is 2.87%. Among those classified as 4A, 12.26%; with 4B classification, 34.43%; with 4C classification, 66.6%; and among those with 5 classifications, 85.7%.
CONCLUSION: In conclusion, the TIRADS classification system, based on the sonographic features reported herein, may help detect which nodules should be investigated for potential malignancies. Advances in knowledge: Few reports compare the efficacy of ultrasound-FNAB for thyroid nodules smaller than 1.0 cm in diameter. The findings of malignancy in this subgroup of nodules may help in the clinical follow-up of which patients should be submitted to an early imaging evaluation or intervention.

Entities:  

Mesh:

Year:  2017        PMID: 29182368      PMCID: PMC5965458          DOI: 10.1259/bjr.20170642

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  24 in total

1.  New sonographic criteria for recommending fine-needle aspiration biopsy of nonpalpable solid nodules of the thyroid.

Authors:  Eun-Kyung Kim; Cheong Soo Park; Woung Youn Chung; Ki Keun Oh; Dong Ik Kim; Jong Tae Lee; Hyung Sik Yoo
Journal:  AJR Am J Roentgenol       Date:  2002-03       Impact factor: 3.959

2.  Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement.

Authors:  Mary C Frates; Carol B Benson; J William Charboneau; Edmund S Cibas; Orlo H Clark; Beverly G Coleman; John J Cronan; Peter M Doubilet; Douglas B Evans; John R Goellner; Ian D Hay; Barbara S Hertzberg; Charles M Intenzo; R Brooke Jeffrey; Jill E Langer; P Reed Larsen; Susan J Mandel; William D Middleton; Carl C Reading; Steven I Sherman; Franklin N Tessler
Journal:  Radiology       Date:  2005-12       Impact factor: 11.105

3.  Thyroid nodule shape suggests malignancy.

Authors:  Carlo Cappelli; Maurizio Castellano; Ilenia Pirola; Elena Gandossi; Elvira De Martino; Davide Cumetti; Barbara Agosti; Enrico Agabiti Rosei
Journal:  Eur J Endocrinol       Date:  2006-07       Impact factor: 6.664

4.  [Comparison of color Doppler-evaluated thyroid nodule classifications as described by Lagalla and Chammas].

Authors:  Marcelo Antonio Serra de Faria; Luiz Augusto Casulari
Journal:  Arq Bras Endocrinol Metabol       Date:  2009-10

5.  The Bethesda System for Reporting Thyroid Cytopathology.

Authors:  Edmund S Cibas; Syed Z Ali
Journal:  Thyroid       Date:  2009-11       Impact factor: 6.568

6.  Distinct diagnostic criteria for ultrasonographic examination of papillary thyroid carcinoma: a multicenter study.

Authors:  Hiroki Shimura; Kazutaka Haraguchi; Yoshimitsu Hiejima; Nobuhiro Fukunari; Yasuhisa Fujimoto; Makoto Katagiri; Noriko Koyanagi; Takeaki Kurita; Megumi Miyakawa; Yukio Miyamoto; Noriyuki Suzuki; Shin-Ichi Suzuki; Masako Kanbe; Yasuyuki Kato; Tsukasa Murakami; Eriko Tohno; Hiroko Tsunoda-Shimizu; Keiko Yamada; Ei Ueno; Kaoru Kobayashi; Tetsuro Kobayashi; Tamotsu Yokozawa; Masafumi Kitaoka
Journal:  Thyroid       Date:  2005-03       Impact factor: 6.568

7.  An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management.

Authors:  Eleonora Horvath; Sergio Majlis; Ricardo Rossi; Carmen Franco; Juan P Niedmann; Alex Castro; Miguel Dominguez
Journal:  J Clin Endocrinol Metab       Date:  2009-03-10       Impact factor: 5.958

8.  Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings.

Authors:  Il Seong Nam-Goong; Ha Young Kim; Gyungyub Gong; Ho Kyu Lee; Suck Joon Hong; Won Bae Kim; Young Kee Shong
Journal:  Clin Endocrinol (Oxf)       Date:  2004-01       Impact factor: 3.478

9.  The value of fine-needle aspiration biopsy in subcentimeter thyroid nodules.

Authors:  Dilek Berker; Yusuf Aydin; Ihsan Ustun; Kamile Gul; Yasemin Tutuncu; Serhat Işik; Tuncay Delibasi; Serdar Guler
Journal:  Thyroid       Date:  2008-06       Impact factor: 6.568

10.  Ultrasound-guided fine-needle aspiration biopsy of thyroid nodules: comparison in efficacy according to nodule size.

Authors:  Dong Wook Kim; Eun Joo Lee; Sang Hyo Kim; Tae Hyun Kim; Sang Hyub Lee; Dae Hwan Kim; Myung Ho Rho
Journal:  Thyroid       Date:  2009-01       Impact factor: 6.568

View more
  4 in total

1.  Taller-Than-Wide Shape: A New Definition Improves the Specificity of TIRADS Systems.

Authors:  Giorgio Grani; Livia Lamartina; Valeria Ramundo; Rosa Falcone; Cristiano Lomonaco; Laura Ciotti; Martina Barone; Marianna Maranghi; Vito Cantisani; Sebastiano Filetti; Cosimo Durante
Journal:  Eur Thyroid J       Date:  2019-11-15

Review 2.  Nodular Thyroid Disease in the Era of Precision Medicine.

Authors:  Dario Tumino; Giorgio Grani; Marta Di Stefano; Maria Di Mauro; Maria Scutari; Teresa Rago; Laura Fugazzola; Maria Grazia Castagna; Fabio Maino
Journal:  Front Endocrinol (Lausanne)       Date:  2020-01-23       Impact factor: 5.555

3.  Explore the Diagnostic Efficiency of Chinese Thyroid Imaging Reporting and Data Systems by Comparing With the Other Four Systems (ACR TI-RADS, Kwak-TIRADS, KSThR-TIRADS, and EU-TIRADS): A Single-Center Study.

Authors:  Qi Qi; Aiyun Zhou; Suping Guo; Xingzhi Huang; Songli Chen; Yaohui Li; Pan Xu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-27       Impact factor: 5.555

4.  Diagnostic Performance of Different Thyroid Imaging Reporting and Data Systems (Kwak-TIRADS, EU-TIRADS and ACR TI-RADS) for Risk Stratification of Small Thyroid Nodules (≤10 mm).

Authors:  Simone Schenke; Rigobert Klett; Philipp Seifert; Michael C Kreissl; Rainer Görges; Michael Zimny
Journal:  J Clin Med       Date:  2020-01-16       Impact factor: 4.241

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.