Enhanced enchondroma detection from x-ray images using deep learning: A step towards accurate and cost-effective diagnosis.

Journal: Journal of orthopaedic research : official publication of the Orthopaedic Research Society
PMID:

Abstract

This study investigates the automated detection of enchondromas, benign cartilage tumors, from x-ray images using deep learning techniques. Enchondromas pose diagnostic challenges due to their potential for malignant transformation and overlapping radiographic features with other conditions. Leveraging a data set comprising 1645 x-ray images from 1173 patients, a deep-learning model implemented with Detectron2 achieved an accuracy of 0.9899 in detecting enchondromas. The study employed rigorous validation processes and compared its findings with the existing literature, highlighting the superior performance of the deep learning approach. Results indicate the potential of machine learning in improving diagnostic accuracy and reducing healthcare costs associated with advanced imaging modalities. The study underscores the significance of early and accurate detection of enchondromas for effective patient management and suggests avenues for further research in musculoskeletal tumor detection.

Authors

  • Şafak Aydin Şimşek
    Department of Orthopedics and Traumatology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.
  • Ayhan Aydin
    Department of Computer Engineering, Karabuk University, Karabük, Turkey.
  • Ferhat Say
    Department of Orthopedics and Traumatology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.
  • Tolgahan Cengiz
    Clinic of Orthopedics and Traumatology, Inebolu State Hospital, Kastamonu, Turkey.
  • Caner Özcan
    Department of Software Engineering, Karabuk University, Karabuk, Turkey.
  • Mesut Öztürk
    Department of Radiology, Faculty of Medicine, Samsun University, Samsun, Turkey.
  • Erhan Okay
    Department of Orthopedics and Traumatology, Istanbul Medeniyet University Goztepe Education and Research Hospital, İstanbul, Turkey.
  • Korhan Özkan
    Department of Orthopedics and Traumatology, Acıbadem Atasehir Hospital, Istanbul, Turkey.