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Quantitative Framework for Risk Stratification of Thyroid Nodules With Ultrasound: A Step Toward Automated Triage of Thyroid Cancer

Publication Type:

Journal Article

Authors:

Galimzianova, A.; Siebert, S. M.; Kamaya, A.; Rubin, D. L.; Desser, T. S.

Source:

AJR Am J Roentgenol, Volume 214, Number 4, p.885-892 (2020)

ISBN:

1546-3141

Accession Number:

31967504

URL:

https://web.stanford.edu/group/rubinlab/pubs/Galimzianova-2020-QuantitativeFrameworkforR.pdf

Keywords:

Adult, Aged, Aged, 80 and over, Biopsy, computer-aided diagnosis, Diagnosis, Computer-Assisted, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Predictive Value of Tests, quantitative image analysis, Retrospective Studies, Risk Assessment, thyroid cancer, Thyroid Neoplasms, Thyroid Nodule, Triage, Ultrasonography

Abstract:

The purpose of this study was to explore whether a quantitative framework can be used to sonographically differentiate benign and malignant thyroid nodules at a level comparable to that of experts.