Development and validation of a lung metastases-predicting nomogram for intermediate- to high-risk differentiated thyroid carcinoma patients.
Future Oncol
; 20(22): 1575-1586, 2024.
Article
en En
| MEDLINE
| ID: mdl-38868921
ABSTRACT
Aim:
This research aimed to construct a clinical model for forecasting the likelihood of lung metastases in differentiated thyroid carcinoma (DTC) with intermediate- to high-risk.Methods:
In this study, 375 DTC patients at intermediate to high risk were included. They were randomly divided into a training set (70%) and a validation set (30%). A nomogram was created using the training group and then validated in the validation set using calibration, decision curve analysis (DCA) and receiver operating characteristic (ROC) curve.Results:
The calibration curves demonstrated excellent consistency between the predicted and the actual probability. ROC analysis showed that the area under the curve in the training cohort was 0.865 and 0.845 in the validation cohort. Also, the DCA curve indicated that this nomogram had good clinical utility.Conclusion:
A user-friendly nomogram was constructed to predict the lung metastases probability with a high net benefit.
[Box see text].
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Neoplasias de la Tiroides
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Curva ROC
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Nomogramas
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Neoplasias Pulmonares
Límite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Future Oncol
/
Future oncol
/
Future oncology
Año:
2024
Tipo del documento:
Article
País de afiliación:
China