Diagnosis of Thyroid Nodule Malignancy Using Peritumoral Region and Artificial Intelligence: Results of Hand-Crafted, Deep Radiomics Features and Radiologists' Assessment in Multicenter Cohorts.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
PMID: 39953921

Abstract

OBJECTIVE: To develop, test, and externally validate a hybrid artificial intelligence (AI) model based on hand-crafted and deep radiomics features extracted from B-mode ultrasound images in differentiating benign and malignant thyroid nodules compared to senior and junior radiologists.

Authors

  • Ali Abbasian Ardakani
    Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Afshin Mohammadi
    Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. Electronic address: Afshin.mohdi@gmail.com.
  • Chai Hong Yeong
  • Wei Lin Ng
    Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
  • Aik Hao Ng
    Clinical Oncology Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
  • Kasturi Nair Tangaraju
    Department of Radiology, National Cancer Institute, Putrajaya, Malaysia.
  • Selda Behestani
    Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran.
  • Mohammad Mirza-Aghazadeh-Attari
    Medical Radiation Sciences Research Group, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Revathy Suresh
    Clinical Oncology Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.

Keywords

External Resources

Popular Topics
Recent Journals