Reliable Stenosis Detection Based on Thrill Waveform Analysis Using Non-Contact Arteriovenous Fistula Imaging

Area of Science:

• Biomedical Engineering
• Nephrology
• Medical Imaging

Background:

• Hemodialysis is a vital treatment for renal failure, relying on extracorporeal circulation and high blood flow rates.
• Arteriovenous fistula (AVF) creation is essential for achieving high blood flow but is prone to stenosis, a significant complication.
• Current methods for detecting AVF stenosis, like auscultation and palpation, are qualitative, non-shareable, and have reproducibility issues.

Purpose of the Study:

• To develop and validate a reliable, non-contact method for detecting AVF stenosis using Thrill waveform analysis.
• To overcome the limitations of traditional palpation methods in assessing AVF condition for hemodialysis patients.

Main Methods:

• Utilized a previously developed non-contact optical imaging device for data acquisition.
• Analyzed Thrill waveforms from a normal AVF group (206 data points, 75 patients) and a stenosis group (107 data points, 17 patients).
• Employed the Mann-Whitney U test for statistical comparison between the groups.

Main Results:

• The non-contact imaging method demonstrated a significant difference (p=0.0002) between normal and stenotic AVF groups.
• Thrill waveform analysis proved effective in distinguishing between healthy and abnormal blood flow conditions.
• The proposed method showed high performance in validating AVF conditions.

Conclusions:

• The developed non-contact optical imaging technology provides an effective and reliable alternative to palpation for AVF stenosis detection.
• This advancement can lead to earlier and more accurate diagnosis of AVF complications in hemodialysis patients.
• The method's non-contact nature addresses concerns regarding infection and reproducibility associated with traditional techniques.