Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance | Zendy

Vivian Youngjean Park | Zendy; Eunjung Lee | Zendy; Hye Sun Lee | Zendy; Hye Jung Kim | Zendy; Jiyoung Yoon | Zendy; Jinwoo Son | Zendy; Kijun Song | Zendy; Hee Jung Moon | Zendy; Jung Hyun Yoon | Zendy; Ga Ram Kim | Zendy; Jin Young Kwak | Zendy

Open Access

Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance

Author(s) -

Vivian Youngjean Park,

Eunjung Lee,

Hye Sun Lee,

Hye Jung Kim,

Jiyoung Yoon,

Jinwoo Son,

Kijun Song,

Hee Jung Moon,

Jung Hyun Yoon,

Ga Ram Kim,

Jin Young Kwak

Publication year - 2020

Publication title -

european radiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.606

H-Index - 149

eISSN - 1432-1084

pISSN - 0938-7994

DOI - 10.1007/s00330-020-07365-9

Subject(s) - medicine , thyroid nodules , neuroradiology , interventional radiology , radiology , malignancy , ultrasound , radiomics , risk stratification , thyroid , youden's j statistic , receiver operating characteristic , nuclear medicine , neurology , psychiatry

To develop a radiomics score using ultrasound images to predict thyroid malignancy and to investigate its potential as a complementary tool to improve the performance of risk stratification systems.

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