Risk After Pediatric MRI Scanning: A Nation-Wide, Population Based Case-Control Study

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 03 | Issue : 02 | Page :
    By

    Akshay Naik,

  • Indravijay Singh,

  • Amlan Basu,

  1. Student, Deptment of AI and ML, Moodlakatte Institute of Technology Kundapura, Udupi, India
  2. Student, Deptment of AI and ML, Moodlakatte Institute of Technology Kundapura, Udupi, India
  3. Research Associate, Deptment of Electronics and Electrical Engineering University of Strathclyde, Glasgow, U.K.

Abstract

This paper investigates the potential association between pediatric MRI (Magnetic resonance imaging) exposure and the risk of developing childhood brain tumors, using action-wide, population-based and case-control methodology. The increasing use of MRI in pediatric healthcare has raised concerns about potential long-term health risks, including the risk of developing brain tumors. Detecting the presence or absence of brain tumor through traditional methods might require a lot of time as well as money. In order to solve this issue, we use a pre-trained model for accurate and precise detection of different types of brain tumors such as meningioma, glioma and pituitary gland tumors. The curated dataset contains 2,548 images of gliomas, 2,658 images of pituitary tumors, 2,582 images of meningiomas, and 2,500 images of non-tumor cases.

Keywords: Brain Tumor; MRI data; Deep Learning; Medical Images; ResNet 101; Transfer Learning.

[This article belongs to International Journal of Biomedical Innovations and Engineering ]

How to cite this article:
Akshay Naik, Indravijay Singh, Amlan Basu. Risk After Pediatric MRI Scanning: A Nation-Wide, Population Based Case-Control Study. International Journal of Biomedical Innovations and Engineering. 2025; 03(02):-.
How to cite this URL:
Akshay Naik, Indravijay Singh, Amlan Basu. Risk After Pediatric MRI Scanning: A Nation-Wide, Population Based Case-Control Study. International Journal of Biomedical Innovations and Engineering. 2025; 03(02):-. Available from: https://journals.stmjournals.com/ijbie/article=2025/view=233247


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Regular Issue Subscription Original Research
Volume 03
Issue 02
Received 15/04/2025
Accepted 08/09/2025
Published 29/11/2025
Publication Time 228 Days
34

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