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Title |
Diagnostic accuracy of MRI in detecting early brain tumors: A comparative study with CT scan
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Authors |
Shashank Srivastava1, Alhad R. Mohite2, Bhanupriya Singh3,*, Nishant Mishra4 & Amrit Podder5
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Affiliation |
1Department of Physiology, Santosh Medical College, Ghaziabad, Uttar Pradesh, India; 2Department of Radiodiagnosis, Dr. KNS Memorial Institute of Medical Sciences, Faizabad Road, Gram Gadia, Uttar Pradesh, India; 3Department of Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India; 4Department of Radiology, Lady Hardinge Medical College, New Delhi, India; 5Department of Physiology, Teerthanker Mahaveer Medical College & Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India; *Corresponding author
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Shashank Srivastava - E-mail: shashank.srivastava1988@gmail.com
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Article Type |
Research Article
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Date |
Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025
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Abstract |
The early detection of brain tumors remains challenging, particularly due to the subtle nature of symptoms and the limitations of conventional imaging techniques. Therefore, it is of interest to evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting early brain tumors compared to Computed Tomography (CT) scans. Hence, a sample of 150 patients with suspected brain tumors underwent both MRI and CT scans. MRI demonstrated superior sensitivity and specificity in detecting early-stage tumors, particularly in identifying smaller lesions and those located in complex brain regions. MRI demonstrates superior sensitivity and specificity over CT scans in detecting early-stage brain tumors, particularly smaller lesions and those in complex brain regions, enhancing clinical diagnosis and treatment planning. |
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Keywords |
Brain tumors, CT scan, Diagnostic accuracy, MRI, Sensitivity
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Citation |
Srivastava et al. Bioinformation 21(12): 5042-5045 (2025)
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Edited by |
Ritik Kashwani
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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