Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis.

Journal: European journal of medical research
Published Date:

Abstract

OBJECTIVE: This study aims to develop a robust and clinically applicable framework for preoperative grading of meningiomas using T1-contrast-enhanced and T2-weighted MRI images. The approach integrates radiomic feature extraction, attention-guided deep learning models, and reproducibility assessment to achieve high diagnostic accuracy, model interpretability, and clinical reliability.

Authors

  • Rafid Jihad Albadr
    Ahl Al Bayt University, Kerbala, Iraq.
  • Dharmesh Sur
    Department of Chemical Engineering, Faculty of Engineering and Technology, Marwadi University Research Center, Marwadi University, Rajkot, Gujarat, 360003, India. dharmesh.sur@marwadieducation.edu.in.
  • Anupam Yadav
    Department of Computer Engineering and Application, GLA University, Mathura, 281406, India.
  • M M Rekha
    Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to Be University), Bangalore, Karnataka, India.
  • Bhavik Jain
    Chitkara Centre for Research and Development, Chitkara University, Baddi, Himachal Pradesh, 174103, India.
  • Karthikeyan Jayabalan
    Department of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
  • Aziz Kubaev
    Department of Maxillofacial Surgery, Samarkand State Medical University, 18 Amir Temur Street, 140100, Samarkand, Uzbekistan.
  • Waam Mohammed Taher
    College of Nursing, National University of Science and Technology, Dhi Qar, Iraq.
  • Mariem Alwan
    Pharmacy College, Al-Farahidi University, Baghdad, Iraq.
  • Mahmood Jasem Jawad
    Department of Pharmacy, Al-Zahrawi University College, Karbala, Iraq.
  • Ali M Ali Al-Nuaimi
    Gilgamesh Ahliya University, Baghdad, Iraq.
  • Mahyar Mohammadifard
    Department of Radiology, Imam Reza Hospital, Birjand University of Medical Sciences, Birjand, Iran. mahyar.mohammadifard@yahoo.com.
  • Bagher Farhood
    Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran. bffarhood@gmail.com.
  • Reza Akhavan-Sigari
    Department of Neurosurgery, University Medicine Göttingen, Göttingen, Germany.