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Application of Micro-flow Imaging in the Differentiation of Benign and Malignant Thyroid Nodules / 中国医学科学院学报
Acta Academiae Medicinae Sinicae ; (6): 40-44, 2022.
Artículo en Chino | WPRIM | ID: wpr-927844
ABSTRACT
Objective To evaluate the performance of micro-flow imaging(MFI)in the differential diagnosis of benign and malignant thyroid nodules. Methods Totally 50 patients with thyroid nodules examined by conventional ultrasound,MFI,and contrast-enhanced ultrasound and confirmed by histological or cytological pathology in the First Medical Center of Chinese PLA General Hospital from May to December in 2020 were enrolled in the study.The clinical data and ultrasound images were retrospectively analyzed.A binary logistic regression model was established to evaluate the performance of the model in predicting benign and malignant thyroid nodules. Results Logistic regression showed that composition and "S-W-C" sign were independent risk factors for predicting malignant thyroid nodule.The sensitivity,specificity,and Youden index of the logistic regression model were 73.33%,80.00%,and 0.53,respectively,and the area under receiver operating characteristic curve was 0.799(95%CI=0.662-0.899). Conclusion MFI facilitates the differential diagnosis of benign and malignant thyroid nodules and has the potential to be applied in the future.
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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Estudios Retrospectivos / Curva ROC / Ultrasonografía / Nódulo Tiroideo / Diagnóstico Diferencial Tipo de estudio: Estudio diagnóstico / Estudio observacional / Estudio pronóstico / Factores de riesgo Límite: Humanos Idioma: Chino Revista: Acta Academiae Medicinae Sinicae Año: 2022 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Estudios Retrospectivos / Curva ROC / Ultrasonografía / Nódulo Tiroideo / Diagnóstico Diferencial Tipo de estudio: Estudio diagnóstico / Estudio observacional / Estudio pronóstico / Factores de riesgo Límite: Humanos Idioma: Chino Revista: Acta Academiae Medicinae Sinicae Año: 2022 Tipo del documento: Artículo