Abstract

Introduction: The popliteal artery branching pattern has multiple variations which have implications in outcomes of various surgical procedures. Amongst cadaveric, Computed Tomography (CT) angiographic and Digital Subtraction Angiographic (DSA) studies, Multidetector Computed Tomography (MDCT) Angiography provides a comprehensive, quick and efficient evaluation of the popliteal arterial anatomy along with surrounding structures and related pathologies of the vascular and non-vascular structures. Aim: To evaluate the patterns of popliteal artery division on MDCT angiography of lower limb in patients presenting to a tertiary medical institute in Northern India. Materials and Methods: This retrospective descriptive study was conducted in Department of Radiology at Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun, Uttarakhand, India (tertiary care medical institute of Northern India). Patients presenting for a period of one year from April 2021 to March 2022 were included in the study. The MDCT angiographic findings of 152 patients who were evaluated for various illness including peripheral vascular disease, popliteal arterial aneurysms and trauma were analysed. The branching pattern of popliteal artery was evaluated according to the classification system provided by Kim DU et al., Morphometric analysis of popliteal artery including diameter was also done. The imaging based data was collected and analysed by two radiologists. Chi-square test was used for statistical analysis. Results: The mean age of the patients was 54.18 years with males predominance of 110 (72.37%). Amongst the 304 limbs available for evaluation, the data from six limbs could not be assessed due to atherosclerotic blockage in four patients, extensive calcification in one patient and amputation in one patient. Hence, 298 limbs were evaluated on MDCT angiography for the pattern of branching of popliteal artery. Type IA was the most common pattern of division seen in 268 limbs (89.93%). Out of 298, 30 limbs showed variant anatomy, with unilateral variation in 18 patients and bilateral variation in six patients. Type III pattern (n=12, 4.03%) was more common than Type II pattern (n=11, 3.6%) in the study group. Conclusion: The knowledge of variations of popliteal arterial division and meticulous evaluation is essential to provide a successful roadmap for therapeutic measures.

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