Classification and Regression Tree (CART) model of sonographic signs in predicting thyroid nodules malignancy
Purpose: To develop a Classification and Regression Tree (CART) model in order to recognize the most suspicious sonographic features of thyroid nodules and efficiently guide their management. Methods: 791 thyroid fine needle aspiration cytology (FNAC) performed under ultrasound guidance between Janu...
Main Authors: | Tarek Smayra, Zahra Charara, Ghassan Sleilaty, Gaelle Boustany, Lina Menassa-Moussa, Georges Halaby |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-01-01
|
Series: | European Journal of Radiology Open |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352047719300474 |
Similar Items
-
The sonographic pattern of nodule and thyroid fine needle aspiration cytology in the evaluation of thyroid malignancy risk
by: Mustafa Eroğlu, et al.
Published: (2023-02-01) -
Predicting Malignancy in Sonographic Features of Thyroid Nodules Using Convolutional Neural Networks ResNet50 Model
by: Jingfang Dong, MD, Jianyun Wang, MD, Xiangzhu Wang, MD
Published: (2023-03-01) -
Sonographic Risk Stratification Systems for Thyroid Nodules as Rule-Out Tests in Older Adults
by: Giorgio Grani, et al.
Published: (2020-08-01) -
Association of the Thyroid Nodules' Sonographic Features With Fine Needle Aspiration (FNA) Cytology Results
by: Hossein Ghanaati, et al.
Published: (2023-05-01) -
Evaluation of Sonographic Features with TIRADS of Malignant Cytology, Suspicious for Malignancy, and Follicular Neoplasm Thyroid Nodules According to the Bethesda Reporting System
by: Hülya ÇETİN TUNÇEZ, et al.
Published: (2024-04-01)