Literature DB >> 22257371

Is (18)F-fluorodeoxyglucose-PET/CT useful for the presurgical characterization of thyroid nodules with indeterminate fine needle aspiration cytology?

Desiree Deandreis1, Abir Al Ghuzlan, Anne Auperin, Philippe Vielh, Bernard Caillou, Linda Chami, Jean Lumbroso, Jean Paul Travagli, Dana Hartl, Eric Baudin, Martin Schlumberger, Sophie Leboulleux.   

Abstract

BACKGROUND: Thyroid nodules found incidentally on (18)F-fluorodeoxyglucose-positron emission tomography (FDG-PET) have been shown to be malignant in 30%-50% of cases. The American Thyroid Association recommends performing fine needle aspiration cytology (FNAC) for thyroid nodules showing FDG uptake. On the other hand, the role of FDG-PET in characterizing thyroid nodules with indeterminate cytology before surgery is not clear. The goal of this study was to evaluate the role of FDG-PET/computed tomography (CT) in predicting malignancy of thyroid nodules with indeterminate FNAC and to correlate FDG uptake with pathological and ultrasonographic (US) features.
METHODS: Between November 2006 and October 2009, 55 patients (42 women, mean age: 50 years) planned for surgery for 56 thyroid nodules with indeterminate FNAC were prospectively included and considered for analysis. All patients underwent presurgical FDG-PET/CT (Siemens Biograph, mean FDG injected activity: 165 MBq) and neck US. Pathology of the corresponding surgical specimen was the gold standard for statistical analysis.
RESULTS: At pathology 34 nodules were benign, 10 were malignant (7 papillary and 3 follicular carcinomas), and 12 were tumors of uncertain malignant potential (TUMP). The median size of the thyroid nodules was 21 mm (range: 10-57). Sensitivity, specificity, positive (PPV), and negative predictive (NPV) values of FDG-PET in detecting cancer/TUMP were 77%, 62%, 57%, and 81%, respectively. In multivariate analysis, cellular atypia was the only factor predictive of FDG uptake (p<0.001). Hurthle cells and poorly differentiated components were independent predictive factors of high (≥5) SUV Max (p=0.02 and p=0.02). Sensitivity, specificity, PPV, and NPV of US in detecting cancer/TUMP were 82%, 47%, 50%, and 80%, respectively. In multivariate analysis, hypervascularization was correlated with malignancy/TUMP (p=0.007) and cystic features were correlated with benignity (p=0.03).
CONCLUSION: Adding FDG-PET findings to neck US provided no diagnostic benefit. The sensitivity and specificity of FDG-PET in the presurgical evaluation of indeterminate thyroid nodules are too low to recommend FDG-PET routinely.

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Year:  2012        PMID: 22257371     DOI: 10.1089/thy.2011.0255

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


  22 in total

1.  Predictive value of intratumoral heterogeneity of F-18 FDG uptake for characterization of thyroid nodules according to Bethesda categories of fine needle aspiration biopsy results.

Authors:  Seong-Jang Kim; Samuel Chang
Journal:  Endocrine       Date:  2015-05-07       Impact factor: 3.633

Review 2.  The role of nuclear medicine in differentiated thyroid cancer.

Authors:  Susanne Kohlfürst
Journal:  Wien Med Wochenschr       Date:  2012-07-20

3.  Ultrasound predictors of malignancy in indeterminate thyroid nodules.

Authors:  M-L Matthey-Gie; S M Walsh; A C O'Neill; A Lowery; D Evoy; D Gibbons; R S Prichard; S Skehan; E W McDermott
Journal:  Ir J Med Sci       Date:  2014-01-09       Impact factor: 1.568

Review 4.  The role of positron emission tomography and positron emission tomography/computed tomography in thyroid tumours: an overview.

Authors:  Giorgio Treglia; Barbara Muoio; Luca Giovanella; Massimo Salvatori
Journal:  Eur Arch Otorhinolaryngol       Date:  2012-10-02       Impact factor: 2.503

Review 5.  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

6.  ¹⁸F-FDG uptake as a prognostic variable in primary differentiated thyroid cancer incidentally detected by PET/CT: a multicentre study.

Authors:  Arnoldo Piccardo; Matteo Puntoni; Francesco Bertagna; Giorgio Treglia; Luca Foppiani; Federico Arecco; Raffaele Giubbini; Mehrdad Naseri; Angelina Cistaro; Manlio Cabria; Francesca Bardesono; Luca Ceriani; Fabio Orlandi; Luca Giovanella
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-04-30       Impact factor: 9.236

Review 7.  PET/CT in thyroid nodule and differentiated thyroid cancer patients. The evidence-based state of the art.

Authors:  Arnoldo Piccardo; Pierpaolo Trimboli; Luca Foppiani; Giorgio Treglia; Giulia Ferrarazzo; Michela Massollo; Gianluca Bottoni; Luca Giovanella
Journal:  Rev Endocr Metab Disord       Date:  2019-03       Impact factor: 6.514

8.  PET/CT and prediction of thyroid cancer in patients with follicular neoplasm or atypia.

Authors:  Thao T Nguyen; Natascha G E Lange; Anne L Nielsen; Anders Thomassen; Helle Døssing; Christian Godballe; Max Rohde
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-06-16       Impact factor: 2.503

Review 9.  Clinical characteristics as predictors of malignancy in patients with indeterminate thyroid cytology: a meta-analysis.

Authors:  Pierpaolo Trimboli; Giorgio Treglia; Leo Guidobaldi; Enrico Saggiorato; Giuseppe Nigri; Anna Crescenzi; Francesco Romanelli; Fabio Orlandi; Stefano Valabrega; Ramin Sadeghi; Luca Giovanella
Journal:  Endocrine       Date:  2013-10-03       Impact factor: 3.633

10.  18F-Fluorocholine Positron Emission Tomography/Computed Tomography is a Highly Sensitive but Poorly Specific Tool for Identifying Malignancy in Thyroid Nodules with Indeterminate Cytology: The Chocolate Study.

Authors:  Renaud Ciappuccini; Idlir Licaj; Audrey Lasne-Cardon; Emmanuel Babin; Dominique de Raucourt; David Blanchard; Vianney Bastit; Virginie Saguet-Rysanek; Justine Lequesne; Damien Peyronnet; Jean-Michel Grellard; Bénédicte Clarisse; Stéphane Bardet
Journal:  Thyroid       Date:  2020-12-23       Impact factor: 6.568

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