- Volume 17 Issue 4
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Improving the Accuracy of Early Diagnosis of Thyroid Nodule Type Based on the SCAD Method
- Shahraki, Hadi Raeisi (Department of Biostatistics, Shiraz University of Medical Sciences) ;
- Pourahmad, Saeedeh (Department of Biostatistics, Shiraz University of Medical Sciences) ;
- Paydar, Shahram (Trauma Research Center, Department of Surgery, Shiraz University of Medical Sciences) ;
- Azad, Mohsen (Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences)
- Published : 2016.06.01
Although early diagnosis of thyroid nodule type is very important, the diagnostic accuracy of standard tests is a challenging issue. We here aimed to find an optimal combination of factors to improve diagnostic accuracy for distinguishing malignant from benign thyroid nodules before surgery. In a prospective study from 2008 to 2012, 345 patients referred for thyroidectomy were enrolled. The sample size was split into a training set and testing set as a ratio of 7:3. The former was used for estimation and variable selection and obtaining a linear combination of factors. We utilized smoothly clipped absolute deviation (SCAD) logistic regression to achieve the sparse optimal combination of factors. To evaluate the performance of the estimated model in the testing set, a receiver operating characteristic (ROC) curve was utilized. The mean age of the examined patients (66 male and 279 female) was
Thyroid nodule type;benign;malignant;early diagnosis;ROC curve;SCAD
Supported by : Shiraz University of Medical Sciences Research Council
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