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Establishment and application of objective evaluation system for thyroid imaging reporting and data system classification in ultrasound / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 698-702, 2017.
Artigo em Chinês | WPRIM | ID: wpr-609663
ABSTRACT
Objective To select the ultrasonic appearances which effect the benign and malignant of thyroid lesions,and to explore the establishment and applications of supersonic evaluation system for thyroid imaging reporting and data system (TI-RADS) classification.Methods The ultrasound images of 1 080 thyroid nodule cases were retrospectively analyzed by Logistic equation,and the ultrasonic appearances were screened to identify benign and malignant of thyroid lesions.All appearances were obtained weights.The TI-RADS classification analysis software was assigned,which was used to analyze 332 patients with thyroid diseases and to verify the diagnostic performance of the TI-RADS classification system.Results Five ultrasonic features were selected into the regression model,including aspect ratio (odds ratio [OR]=3.61),margins (OR=3.83),composition (OR=11.46),echogenicity (OR=14.12),microcalcification foci (OR =48.82).Using objective evaluation system for TI-RADS classification in ultrasound in diagnosing 332 cases,the area under the ROC curve was 0.91 (P<0.05).Conclusion Relatively the weight and formation of malignant indicators should be more concern than the number of ultrasonic malignant thyroid lesions indicators.The objective evaluation system for TI-RADS classification in ultrasound has relatively high diagnosis capability which established by the methods of Logistic equation.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2017 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2017 Tipo de documento: Artigo