Evaluation and Development of a Real-time Predictive Model for Ultrasound Investigation of Malignant Thyroid Nodules

Overview

Journal Eur Arch Otorhinolaryngol

Specialty Otorhinolaryngology

Date 2013 Jul 13

PMID 23846666

Citations 5

Authors

Po-Wen Cheng

Hsu-Wen Chou

Chi-Te Wang

Wu-Chia Lo

Li-Jen Liao

Affiliations

Soon will be listed here.

Abstract

Ultrasound investigations and correct identification of malignant thyroid nodules depend on the experience and qualifications of the investigators; thus, a model that provides better evaluation before needle aspiration is desired. Data from 687 patients with 726 thyroid nodules comprising 65 malignant nodules (61 papillary and 4 follicular carcinoma) and 661 benign nodules were used to construct a predictive model. Presence of micro-calcification, taller-than-wide shape, predominant solid echostructure, and irregular margins were shown to be good independent predictive parameters. A thyroid nodule was predicted as malignant with a score ≥3.3. Internal validation of this predictive tool by the bootstrapping method showed excellent overall model performance.

Citing Articles

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