Background/Aim. The best treatment for the occlusion of the largest artery in
the thigh is a femorodistal (FD) bypass. Ankle-brachial index (ABI) and
multi-detector computed tomographic (MDCT) angiography are the gold
standards for diagnosing peripheral arterial occlusive disease. The finite
element method can help measure the quantity of blood flow and arterial
pressure in the arteries in the leg. The aim of this study was to examine
the possibility of using finite element analysis (FEA) method in predicting
the outcome of FD bypass surgery. Methods. The research involved 45 patients
who were indicated for FD arterial reconstruction from December 1, 2021, to
March 31, 2023. MDCT angiography of the arteries of the lower extremities
was done pre-operatively and post-operatively in all patients, based on
which models were made using the finite element method, for measurement ABI.
All patients had their ABI measured pre-operatively and post-operatively
using the Doppler ultrasound and sphygmomanometer. Based on the findings of
the pre-operative MDCT angiography, a post-operative virtual surgical model
was made using the finite element method, for measurement of ABI too. The
values of ABI were divided into 5 groups: ABI measured preoperatively (ABI
pre-op), ABI measured postperatively (ABI post-op), ABI measured on FEA
models based on the MDCT findings [ABI (sim) pre-op], ABI sim post-op, ABI
measured on virtual surgery model [ABI sim post-op (virtual)]. The ABI of
the models were statistically compared with pre-operative and post-operative
measurements done on patients. Results. The values based on the virtual ABI
model did not show significant differences compared to the values obtained
using Doppler sonography /sphygmomanometer and MDCT angiography (p< 0.001).
A strong statistically significant correlation was shown between the virtual
ABI and the values obtained by the other two methods (p< 0.001). Conclusion.
Virtual simulation based on the MDCT angiography parameters of peripheral
blood vessels can be successfully used to predict the immediate outcome of
the FD bypass surgery.