Literature DB >> 22730228

Nomogram for selecting thyroid nodules for ultrasound-guided fine-needle aspiration biopsy based on a quantification of risk of malignancy.

Iain J Nixon1, Ian Ganly, Lucy E Hann, Changhong Yu, Frank L Palmer, Monica M Whitcher, Jatin P Shah, Ashok Shaha, Michael W Kattan, Snehal G Patel.   

Abstract

BACKGROUND: Our aim through this study was to develop a statistical tool to quantify risk of malignancy in thyroid nodules based on clinical, biochemical, and ultrasound features, which could be used to select which nodules require ultrasound-guided fine-needle aspiration.
METHODS: Clinical records, biochemical profiles, pathology reports, and ultrasound images were reviewed. Multivariate logistic regression was used to rank variables in their ability to predict malignancy.
RESULTS: In all, 190 nodules were reviewed. The final diagnoses were papillary carcinoma in 105 patients (66%), other carcinoma in 8 patients (5%), and benign thyroid pathology in 45 patients (29%). After exclusions, 182 nodules remained for analysis on a per nodule basis. The 8 variables with highest predictive value were: age; thyroid-stimulating hormone; and ultrasound size, shape, echo texture, calcification, margin, and vascularity. The nomogram had a concordance index of 75%.
CONCLUSION: We produced a nomogram able to accurately predict the need to perform ultrasound-guided fine-needle aspiration on a thyroid nodule based on biochemical, clinical, and ultrasound features.
Copyright © 2012 Wiley Periodicals, Inc.

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Mesh:

Year:  2012        PMID: 22730228     DOI: 10.1002/hed.23075

Source DB:  PubMed          Journal:  Head Neck        ISSN: 1043-3074            Impact factor:   3.147


  7 in total

Review 1.  Defining value-driven care in head and neck oncology.

Authors:  Benjamin R Roman; Mahmoud I Awad; Snehal G Patel
Journal:  Curr Oncol Rep       Date:  2015-01       Impact factor: 5.075

2.  Diagnosis of Thyroid Nodules Based on Local Non-quantitative Multi-Directional Texture Descriptor with Rotation Invariant Characteristics for Ultrasound Image.

Authors:  Li Bi; Zhang Shuang
Journal:  J Med Syst       Date:  2019-06-14       Impact factor: 4.460

3.  A meta-analysis-derived proposal for a clinical, ultrasonographic, and cytological scoring system to evaluate thyroid nodules: the "CUT" score.

Authors:  Francesca Ianni; Paolo Campanella; Carlo Antonio Rota; Alessandro Prete; Laura Castellino; Alfredo Pontecorvi; Salvatore Maria Corsello
Journal:  Endocrine       Date:  2015-10-30       Impact factor: 3.633

4.  The Malignancy Risk Assessment of Cytologically Indeterminate Thyroid Nodules Improves Markedly by Using a Predictive Model.

Authors:  Bülent Öcal; Mehmet Hakan Korkmaz; Demet Yılmazer; Tuğba Taşkın Türkmenoğlu; Ömer Bayır; Güleser Saylam; Emel Çadallı Tatar; Sevilay Karahan; Erman Çakal
Journal:  Eur Thyroid J       Date:  2018-11-29

5.  A Nomogram to Predict the Outcome of Fine Needle Aspiration Cytology in Head and Neck Masses.

Authors:  Ulana Kotowski; Faris F Brkic; Oskar Koperek; Eleonore Pablik; Stefan Grasl; Matthaeus Ch Grasl; Boban M Erovic
Journal:  J Clin Med       Date:  2019-11-22       Impact factor: 4.241

6.  External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.

Authors:  Ridong Wu; Liling Zhu; Wen Li; Qing Tang; Fushun Pan; Weibin Wu; Jie Liu; Chen Yao; Shenming Wang
Journal:  PLoS One       Date:  2013-06-04       Impact factor: 3.240

7.  A predictive model to distinguish malignant and benign thyroid nodules based on age, gender and ultrasonographic features.

Authors:  Fábio Muradás Girardi; Laura Mezzomo da Silva; Cecilia Dias Flores
Journal:  Braz J Otorhinolaryngol       Date:  2017-11-04
  7 in total

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