[A multiple regression formula for the prediction of thyroid microcarcinoma].
Zhongguo Yi Xue Ke Xue Yuan Xue Bao
; 36(1): 79-85, 2014 Feb.
Article
em Zh
| MEDLINE
| ID: mdl-24581134
ABSTRACT
OBJECTIVE:
To establish a quantitative analysis formula for the prediction of thyroid microcarcinoma and decide the cut-off values for the recommendation of ultrasound-guided biopsy.METHODS:
The ultrasound characteristics of 830 subcentimeter thyroid nodules were retrospectively analyzed based on pathological results in this study. A diagnostic formula was developed using multivariate binary Logistic regression with the cut-off values for the recommendation of biopsy. The diagnostic values of each feature and the formula were evaluated.RESULTS:
The most suspicious ultrasound characteristics for subcentimeter thyroid nodules were solid echostructure (OR=41.97), microlobulated margin (OR=25.89), hypoechoic echogenicity(OR=10.36), no halo (OR=8.38), irregular margin (OR=4.26), taller than wide (OR=2.71), microcalcification (OR=1.92), and macrocalcification (OR=1.28). The sensitivity, specificity, and accuracy of the formula were 90.9%, 54.0%, and 72.5%, respectively.CONCLUSION:
This multiple regression formula is an objective tool for the evaluation of thyroid microcarcinoma, which can provide the cutoff values for the ultrasound guided biopsy.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Glândula Tireoide
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Carcinoma
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Modelos Logísticos
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Nódulo da Glândula Tireoide
Tipo de estudo:
Diagnostic_studies
/
Guideline
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adolescent
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Adult
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Aged
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Aged80
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Child
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Female
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Humans
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Male
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Middle aged
Idioma:
Zh
Revista:
Zhongguo Yi Xue Ke Xue Yuan Xue Bao
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
China