Literature DB >> 26639612

Subcategorization of atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS): a study applying Thyroid Imaging Reporting and Data System (TIRADS).

Jung Hyun Yoon1, Hyeong Ju Kwon2,3, Eun-Kyung Kim1, Hee Jung Moon1, Jin Young Kwak1.   

Abstract

OBJECTIVE: To evaluate the clinical significance and compare the imaging features according to the Thyroid Image Reporting and Data System (TIRADS) between atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS) subcategories. DESIGN & PATIENTS: A total of 192 thyroid nodules in 188 patients (mean age: 50·2 ± 11·8 years) that had been initially diagnosed as AUS/FLUS on US-guided fine needle aspiration (US-FNA) were included. One cytopathologist retrospectively reviewed the cytology slides, subcategorizing cytology results into AUS and FLUS. A TIRADS category was assigned to each thyroid nodule according to the number of suspicious US features. Clinical, US features and malignancy rates were compared between the two subcategories.
RESULTS: Of the 192 AUS/FLUS lesions, 149 (77·6%) were subcategorized as AUS and 43 (22·4%) as FLUS. Of the 192 AUS/FLUS nodules, 82 (42·7%) were malignant. The malignancy rates between AUS and FLUS subcategories were not significantly different, 45·6% to 32·6%, respectively (P = 0·127). When applying TIRADS, significant differences were seen in TIRADS category between benign and malignant nodules in the AUS subcategory (P < 0·001), but not in the FLUS subcategory (P = 0·414). The malignancy rates in TIRADS categories 3, 4a, 4b, 4c and 5 were 15·4%, 22·2%, 33·3%, 57·1% and 80·0% (P < 0·001) in AUS nodules and 40·0%, 50·0%, 23·5%, 22·2% and 0·0% (P = 0·414) in FLUS nodules, respectively.
CONCLUSION: Suspicious US features are useful in predicting malignancy among AUS subcategories but not in FLUS subcategories. Subcategorization into AUS and FLUS cytology may be helpful in deciding upon treatment or management of thyroid nodules.
© 2015 John Wiley & Sons Ltd.

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Mesh:

Year:  2016        PMID: 26639612     DOI: 10.1111/cen.12987

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  17 in total

1.  Thyroid ultrasonography for personalized approach at thyroid nodules.

Authors:  Jin Young Kwak
Journal:  Endocrine       Date:  2016-02-13       Impact factor: 3.633

2.  Diagnostic performance of ATA, BTA and TIRADS sonographic patterns in the prediction of malignancy in histologically proven thyroid nodules.

Authors:  Chiaw Ling Chng; Hong Chang Tan; Chow Wei Too; Wei Ying Lim; Priscilla Pei Sze Chiam; Ling Zhu; Nivedita Vikas Nadkarni; Adoree Yi Ying Lim
Journal:  Singapore Med J       Date:  2018-05-18       Impact factor: 1.858

3.  Thyroid Nodules with Indeterminate Cytology: Utility of the American Thyroid Association Sonographic Patterns for Cancer Risk Stratification.

Authors:  Pablo Valderrabano; Melissa J McGettigan; Cesar A Lam; Laila Khazai; Zachary J Thompson; Christine H Chung; Barbara A Centeno; Bryan McIver
Journal:  Thyroid       Date:  2018-07-17       Impact factor: 6.568

4.  The association between the ultrasonography TIRADS classification system and surgical pathology among indeterminate thyroid nodules.

Authors:  Zeyad T Sahli; Farah Karipineni; Jen-Fan Hang; Joseph K Canner; Aarti Mathur; Jason D Prescott; Sheila Sheth; Syed Z Ali; Martha A Zeiger
Journal:  Surgery       Date:  2018-11-08       Impact factor: 3.982

5.  Differences in Clinical Features Between Subcategories of "Atypia/Follicular Lesion of Undetermined Significance".

Authors:  Seong Dong Kim; Seung Hoon Han; Woo-Jin Jeong; Hyojin Kim; Soon Hyun Ahn
Journal:  Endocr Pathol       Date:  2017-09       Impact factor: 3.943

6.  Malignancy is associated with microcalcification and higher AP/T ratio in ultrasonography, but not with Hashimoto's thyroiditis in histopathology in patients with thyroid nodules evaluated as Bethesda Category III (AUS/FLUS) in cytology.

Authors:  Oya Topaloglu; Husniye Baser; Fatma Neslihan Cuhaci; Nuran Sungu; Abdussamed Yalcin; Reyhan Ersoy; Bekir Cakir
Journal:  Endocrine       Date:  2016-05-12       Impact factor: 3.633

7.  The predictive value of sonographic images of follicular lesions - a comparison with nodules unequivocal in FNA - single centre prospective study.

Authors:  Dorota Słowińska-Klencka; Martyna Wojtaszek-Nowicka; Stanisław Sporny; Ewa Woźniak-Oseła; Bożena Popowicz; Mariusz Klencki
Journal:  BMC Endocr Disord       Date:  2016-12-01       Impact factor: 2.763

Review 8.  Ultrasound is helpful to differentiate Bethesda class III thyroid nodules: A PRISMA-compliant systematic review and meta-analysis.

Authors:  Lu-Ying Gao; Ying Wang; Yu-Xin Jiang; Xiao Yang; Ru-Yu Liu; Xue-Hua Xi; Shen-Ling Zhu; Rui-Na Zhao; Xing-Jian Lai; Xiao-Yan Zhang; Bo Zhang
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

Review 9.  Use of the Kwak Thyroid Image Reporting and Data System (K-TIRADS) in differential diagnosis of thyroid nodules: systematic review and meta-analysis.

Authors:  Bartosz Migda; Michal Migda; Marian S Migda; Rafal Z Slapa
Journal:  Eur Radiol       Date:  2018-01-02       Impact factor: 5.315

10.  Cytologically indeterminate thyroid nodules: increased diagnostic performance with combination of US TI-RADS and a new scoring system.

Authors:  Ya-Ping He; Hui-Xiong Xu; Chong-Ke Zhao; Li-Ping Sun; Xiao-Long Li; Wen-Wen Yue; Le-Hang Guo; Dan Wang; Wei-Wei Ren; Qiao Wang; Shen Qu
Journal:  Sci Rep       Date:  2017-07-31       Impact factor: 4.379

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