DIAGNOSTIC ACCURACY OF MRI IN PREOPERATIVE ASSESSMENT OF PERIANAL FISTULAE
Keywords:
Perianal fistula, Anal fistula, Preoperative assessment, Magnetic resonance imaging, Diagnostic Accuracy, Surgical correlationAbstract
Background: Perianal fistulae are challenging anorectal conditions characterized by abnormal tracts between the anal canal or rectum and the perianal skin. Accurate preoperative diagnosis is essential to map the fistula, prevent recurrence, and minimize complications. MRI has emerged as a non-invasive and highly sensitive modality for evaluating perianal fistulae. This study aimed to assess the diagnostic accuracy of MRI in preoperative evaluation, using surgical findings as the gold standard. Methods: This cross-sectional validation study was conducted at the Department of Diagnostic Radiology, Ayub Teaching Hospital, Abbottabad, over two years. Patients with clinical suspicion of perianal fistula underwent MRI using a 1.5 Tesla scanner. Standard imaging protocols included T1-weighted, STIR, and T2-weighted sequences. Surgical findings were recorded as the gold standard for comparison to calculate the validity parameters. Results: Most of the participants, 107/157 (68.2%), were male with a mean age of 53.47±13.02 years and a mean BMI of 24.45±3.19. MRI demonstrated high sensitivity (95.89%), specificity (81.82%), PPV (98.59%), NPV (60%), and an overall diagnostic accuracy of 95.2%. It accurately identified fistulous tracts, internal and external openings, and secondary extensions. MRI findings correlated strongly with surgical observations (p<0.001). Conclusions: MRI is a highly accurate, non-invasive imaging tool for precise anatomical mapping of primary and secondary fistulous tracts and abscesses, aiding in precise preoperative assessment and planning. Integrating MRI into diagnostic workflows is especially beneficial in resource-constrained settings by alleviating the economic and emotional burden associated with repeated surgeries and postoperative complications caused by incomplete preoperative assessment.
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