Literature DB >> 27804016

Ultrasonography scoring systems can rule out malignancy in cytologically indeterminate thyroid nodules.

Giorgio Grani1, Livia Lamartina1, Valeria Ascoli2, Daniela Bosco2, Francesco Nardi2, Ferdinando D'Ambrosio2, Antonello Rubini2, Laura Giacomelli3, Marco Biffoni3, Sebastiano Filetti1, Cosimo Durante4, Vito Cantisani2.   

Abstract

PURPOSE: To assess the accuracy and reproducibility of ultrasonography classification systems in characterizing cytologically indeterminate thyroid nodules.
METHODS: We retrospectively identified 49 nodules that had been surgically resected owing to features classified as indeterminate according to 2010 Italian Consensus on Thyroid Cytology criteria. Three experienced sonographers independently reviewed original sonographic images of each nodule and classified it using the 2015 American Thyroid Association (ATA) guidelines and the Thyroid Imaging Reporting and Data System (TI-RADS) classification proposed by Korean radiologists; later, images were reviewed jointly to obtain consensus classifications of each nodule. Original cytology slides were similarly reviewed by three experienced cytopathologists, who reclassified the nodule (independently, then jointly) according to revised Italian Consensus on Thyroid Cytology (ICTC-2014) criteria. Consensus ICTC-2014, ATA, and TI-RADS classifications were analyzed against surgical histology reports to estimate each system's sensitivity, specificity, positive and negative predictive values.
RESULTS: Of the 49 indeterminate nodules examined, 30 (61.2 %) were histologically benign. Consensus ICTC-2014 classification correctly classified malignant nodules with positive predictive value of 50 % and negative predictive value of 90 %. Sonographic classification of nodules as intermediate to high suspicion by ATA or TI-RADS category 4c displayed positive predictive value of 63 and 71 %, respectively; positive predictive values dropped to 44 and 42 % when lower positivity thresholds were used (ATA low suspicion, TI-RADS category 4a). Negative predictive values for ATA and TI-RADS were 91 and 74 %, respectively, with higher positivity thresholds and 100 % for both with lower thresholds. All systems displayed appreciable inter-observer variability (Krippendorff alphas: ATA 0.36, TIRADS 0.42, ICTC-2014 0.74).
CONCLUSIONS: With stringent negativity cut-offs, American Thyroid Association and Thyroid Imaging Reporting and Data System assessment of cytologically indeterminate thyroid nodules allows high-confidence exclusion of malignancy.

Entities:  

Keywords:  Indeterminate; TIRADS; Thyroid nodule; Ultrasonography

Mesh:

Year:  2016        PMID: 27804016     DOI: 10.1007/s12020-016-1148-6

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  20 in total

1.  Observer variability in the sonographic evaluation of thyroid nodules.

Authors:  Chang Suk Park; Sung Hun Kim; So Lyung Jung; Bong Joo Kang; Jee Young Kim; Jae Jung Choi; Mi Suk Sung; Hyeon Woo Yim; Seung Hee Jeong
Journal:  J Clin Ultrasound       Date:  2010-07       Impact factor: 0.910

2.  Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules.

Authors:  Seon Hyeong Choi; Eun-Kyung Kim; Jin Young Kwak; Min Jung Kim; Eun Ju Son
Journal:  Thyroid       Date:  2010-02       Impact factor: 6.568

Review 3.  The Bethesda System For Reporting Thyroid Cytopathology.

Authors:  Edmund S Cibas; Syed Z Ali
Journal:  Am J Clin Pathol       Date:  2009-11       Impact factor: 2.493

4.  Cytological classification of thyroid nodules. Proposal of the SIAPEC-IAP Italian Consensus Working Group.

Authors:  G Fadda; F Basolo; A Bondi; G Bussolati; A Crescenzi; O Nappi; F Nardi; M Papotti; G Taddei; L Palombini
Journal:  Pathologica       Date:  2010-10

5.  Striving toward standardization of reporting of ultrasound features of thyroid nodules and lymph nodes: a multidisciplinary consensus statement.

Authors:  Henry K Su; Laura L Dos Reis; Mark A Lupo; Mira Milas; Lisa A Orloff; Jill E Langer; Elise M Brett; Elias Kazam; Stephanie L Lee; Gerald Minkowitz; Erin H Alpert; Eliza H Dewey; Mark L Urken
Journal:  Thyroid       Date:  2014-07-23       Impact factor: 6.568

Review 6.  2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer.

Authors:  Bryan R Haugen; Erik K Alexander; Keith C Bible; Gerard M Doherty; Susan J Mandel; Yuri E Nikiforov; Furio Pacini; Gregory W Randolph; Anna M Sawka; Martin Schlumberger; Kathryn G Schuff; Steven I Sherman; Julie Ann Sosa; David L Steward; R Michael Tuttle; Leonard Wartofsky
Journal:  Thyroid       Date:  2016-01       Impact factor: 6.568

7.  Thin core biopsy should help to discriminate thyroid nodules cytologically classified as indeterminate. A new sampling technique.

Authors:  Naim Nasrollah; Pierpaolo Trimboli; Leo Guidobaldi; Davide Domenico Cicciarella Modica; Claudio Ventura; Giovanni Ramacciato; Silvia Taccogna; Francesco Romanelli; Stefano Valabrega; Anna Crescenzi
Journal:  Endocrine       Date:  2012-10-16       Impact factor: 3.633

8.  A Bedside Risk Calculator to Preoperatively Distinguish Follicular Thyroid Carcinoma from Follicular Variant of Papillary Thyroid Carcinoma.

Authors:  Brian R Englum; John Pura; Shelby D Reed; Sanziana A Roman; Julie A Sosa; Randall P Scheri
Journal:  World J Surg       Date:  2015-12       Impact factor: 3.352

9.  The frequency of malignancy and the relationship between malignancy and ultrasonographic features of thyroid nodules with indeterminate cytology.

Authors:  Yasemin Tutuncu; Dilek Berker; Serhat Isik; Gulhan Akbaba; Ufuk Ozuguz; Ferit Kerim Kucukler; Erdal Göcmen; Yavuz Yalcın; Yusuf Aydin; Serdar Guler
Journal:  Endocrine       Date:  2013-03-17       Impact factor: 3.633

Review 10.  The accuracy of thyroid nodule ultrasound to predict thyroid cancer: systematic review and meta-analysis.

Authors:  Juan P Brito; Michael R Gionfriddo; Alaa Al Nofal; Kasey R Boehmer; Aaron L Leppin; Carl Reading; Matthew Callstrom; Tarig A Elraiyah; Larry J Prokop; Marius N Stan; M Hassan Murad; John C Morris; Victor M Montori
Journal:  J Clin Endocrinol Metab       Date:  2013-11-25       Impact factor: 5.958

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  39 in total

1.  Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology.

Authors:  Jiyoung Yoon; Eunjung Lee; Sang-Wook Kang; Kyunghwa Han; Vivian Youngjean Park; Jin Young Kwak
Journal:  Eur Radiol       Date:  2021-01-18       Impact factor: 5.315

2.  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

3.  Computer-aided diagnostic system for thyroid nodule sonographic evaluation outperforms the specificity of less experienced examiners.

Authors:  Daniele Fresilli; Giorgio Grani; Maria Luna De Pascali; Gregorio Alagna; Eleonora Tassone; Valeria Ramundo; Valeria Ascoli; Daniela Bosco; Marco Biffoni; Marco Bononi; Vito D'Andrea; Fabrizio Frattaroli; Laura Giacomelli; Yana Solskaya; Giorgia Polti; Patrizia Pacini; Olga Guiban; Raffaele Gallo Curcio; Marcello Caratozzolo; Vito Cantisani
Journal:  J Ultrasound       Date:  2020-04-03

4.  Evaluation of the Italian cytological subclassification of thyroid indeterminate nodules into TIR-3A and TIR-3B: a retrospective study of 290 cases with histological correlation from a single institution.

Authors:  E Rullo; G Minelli; D Bosco; F Nardi; V Ascoli
Journal:  J Endocrinol Invest       Date:  2017-09-25       Impact factor: 4.256

5.  A novel nonsense EIF1AX mutation identified in a thyroid nodule histologically diagnosed as oncocytic carcinoma.

Authors:  Marialuisa Sponziello; Gabriella Silvestri; Antonella Verrienti; Alessia Perna; Francesca Rosignolo; Chiara Brunelli; Valeria Pecce; Esther Diana Rossi; Celestino Pio Lombardi; Cosimo Durante; Sebastiano Filetti; Guido Fadda
Journal:  Endocrine       Date:  2018-04-26       Impact factor: 3.633

Review 6.  Performance of Italian Consensus for the Classification and Reporting of Thyroid Cytology (ICCRTC) in discriminating indeterminate lesions at low and high risk of malignancy. A systematic review and meta-analysis.

Authors:  Pierpaolo Trimboli; Anna Crescenzi; Luca Giovanella
Journal:  Endocrine       Date:  2017-08-07       Impact factor: 3.633

7.  Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination.

Authors:  Ting Xu; Ya Wu; Run-Xin Wu; Yu-Zhi Zhang; Jing-Yu Gu; Xin-Hua Ye; Wei Tang; Shu-Hang Xu; Chao Liu; Xiao-Hong Wu
Journal:  Endocrine       Date:  2018-11-24       Impact factor: 3.633

Review 8.  Thyroid follicular microcarcinoma.

Authors:  Andrea Casaril; Marco Inama; Harmony Impellizzeri; Matilde Bacchion; Mihail Creciun; Gianluigi Moretto
Journal:  Gland Surg       Date:  2020-01

9.  Ultrasound characterization for thyroid nodules with indeterminate cytology: inter-observer agreement and impact of combining pattern-based and scoring-based classifications in risk stratification.

Authors:  Cesar A Lam; Melissa J McGettigan; Zachary J Thompson; Laila Khazai; Christine H Chung; Barbara A Centeno; Bryan McIver; Pablo Valderrabano
Journal:  Endocrine       Date:  2019-07-12       Impact factor: 3.633

10.  Performance of a dual-component molecular assay in cytologically indeterminate thyroid nodules.

Authors:  Guido Fadda; Sebastiano Filetti; Marialuisa Sponziello; Chiara Brunelli; Antonella Verrienti; Giorgio Grani; Valeria Pecce; Luana Abballe; Valeria Ramundo; Giuseppe Damante; Diego Russo; Celestino Pio Lombardi; Cosimo Durante; Esther Diana Rossi; Patrizia Straccia
Journal:  Endocrine       Date:  2020-03-30       Impact factor: 3.633

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