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Original article / research

2026
Year :2026 Month : March-April Volume : 15 Issue : 2 Page : RO19 - RO21

Classification of Anatomical Variants of Sylvian Fissure Using MRI: A Retrospective Observational Study

Published: March 1, 2026 | DOI: https://doi.org/10.7860/JCDR/2026/82419.3095
Correspondence Address :
Avinesh Varadane, Sujeeth Mariyappan, Balavaitheeswar Ramalingam, Elamparidhi Padmanaban, Umamageswari Amirthalingam,
Sujeeth Mariyappan,
Madagadipet, Puducherry, India.
E-mail: sujeethkm.maruthi@gmail.com
Introduction: Introduction: The Sylvian Fissure (SF), which divides the temporal lobe from the frontal and parietal lobes, is a crucial anatomical landmark in neurosurgery. Magnetic Resonance Imaging (MRI) based data on SF morphological variations in the Indian population remain limited, despite its clinical significance.

Aim: To evaluate and classify anatomical variations of the SF in healthy adults using MRI.

Materials and Methods: The present retrospective observational study was conducted in the Department of Radiodiagnosis at Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India, from January 2025 to June 2025. A total of 325 adults aged between 30 and 60 years were included. Individuals with structural or functional abnormalities of the brain were excluded. Five types (I-V) of SF morphology were identified using T1-weighted axial, coronal, and sagittal images, and hemispheric symmetry was evaluated.

Results: Among the 325 MRI brain scans analysed, Type I and Type II SF morphologies were the most frequently observed in both hemispheres. On the right-side, Type II was the most common pattern {140 (43.1%)}, followed closely by Type I {139 (42.8%)}. On the left-side, Type I predominated {144 (44.3%)}, followed by Type II {138 (42.5%)}. Overall, symmetrical SF morphology was observed in the majority of participants {291 (89.5%)}, while asymmetry was noted in a smaller proportion {34 (10.5%)}.

Conclusion: By establishing normative reference data, these findings strengthen the utility of MRI in preoperative assessment and underscore the relevance of standardised SF classification in neurosurgical and radiological practice.
 
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