A molecular computational model improves the preoperative diagnosis of thyroid nodules.

Tomei, Sara; Marchetti, Ivo; Zavaglia, Katia; Lessi, Francesca; Apollo, Alessandro; Aretini, Paolo; Di Coscio, Giancarlo; Bevilacqua, Generoso; Mazzanti, Chiara

Tomei, Sara; Marchetti, Ivo; Zavaglia, Katia; Lessi, Francesca; Apollo, Alessandro; Aretini, Paolo; Di Coscio, Giancarlo; Bevilacqua, Generoso; Mazzanti, Chiara.

Affiliation

Tomei S; Division of Surgical, Molecular, and Ultrastructural Pathology, Section of Molecular Pathology, University of Pisa, Italy. sara.tomei@for.unipi.it

BMC Cancer ; 12: 396, 2012 Sep 07.

Article in En | MEDLINE | ID: mdl-22958914

Subject(s)

Models, Biological; Molecular Diagnostic Techniques/methods; Thyroid Nodule/diagnosis; Area Under Curve; Bayes Theorem; Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism; Biopsy, Fine-Needle; Computer Simulation; Gene Expression Profiling; Humans; Neural Networks, Computer; Preoperative Period; ROC Curve; Thyroid Nodule/genetics; Thyroid Nodule/metabolism; Thyroid Nodule/pathology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thyroid Nodule / Molecular Diagnostic Techniques / Models, Biological Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: BMC Cancer Journal subject: NEOPLASIAS Year: 2012 Document type: Article Affiliation country: Italy

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