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Incoherent optical fluctuation flowmetry for detecting limbs with hemodynamically significant stenoses in patients
Polina Glazkova1, Alexey Glazkov2, Dmitry Kulikov3,4
1Moscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia. polinikul@mail.ru.
Endocrine
|September 23, 2023
Summary
A new incoherent optical fluctuation flowmetry (IOFF) method shows high accuracy for detecting lower-extremity peripheral artery disease (LE-PAD) in diabetic patients. This rapid, accessible technique offers significant potential for clinical application in PAD diagnosis.
Area of Science:
- Vascular Medicine
- Medical Diagnostics
- Optical Physics
Background:
- Diabetic patients are at high risk for lower-extremity peripheral artery disease (LE-PAD).
- Accurate, accessible diagnostic methods for LE-PAD in diabetes mellitus (DM) are crucial.
- Current methods like ankle-brachial index (ABI) and transcutaneous oximetry (TcPO2) have limitations.
Purpose of the Study:
- To evaluate the diagnostic accuracy of a novel incoherent optical fluctuation flowmetry (IOFF) method.
- To compare IOFF performance against established methods (ABI, TcPO2) for detecting significant leg stenoses in diabetic patients.
- To assess the clinical utility of IOFF for LE-PAD detection.
Main Methods:
- A study involving diabetic patients with and without LE-PAD.
- Measurements included ultrasound (reference), ABI, TcPO2, and the new IOFF method.
- Comparative analysis of sensitivity, specificity, and AUC for each diagnostic technique.
Main Results:
- IOFF demonstrated high sensitivity (79.5%) and specificity (89.8%) for detecting hemodynamically significant stenosis (AUC 0.890).
- TcPO2 showed 69.2% sensitivity and 86.2% specificity (AUC 0.817).
- Standard ABI (<0.9) had low sensitivity (34.5%), while an adjusted cutoff (0.99) improved sensitivity (84.6%) but reduced specificity (78%).
Conclusions:
- The incoherent optical fluctuation flowmetry (IOFF) technique is highly sensitive and specific for detecting LE-PAD in diabetic patients.
- IOFF's accuracy, speed, and potential availability suggest it is a promising tool for clinical PAD diagnosis.
- This method could significantly aid in the early detection and management of PAD in diabetic populations.
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