Scholarlink

Purpose <p>Fractional flow reserve (FFR) and resting-full-cycle ratio (RFR) are widely used to determine functional stenosis. However, the results of the FFR and RFR may be discordant. This study aims to decompose aortic (Pa) and distal (Pd) coronary pressure signals under non-hyperemic conditions and explore the variety of intrinsic information among the functional stenosis and non-stenosis of the coronary artery.</p> Methods <p>This study enrolled 21 patients with 21 vessels. The Pa and Pd signal were acquired by Pressure Wire X. Meanwhile, FFR and RFR also be assessment. Four models were tested separately according to the definition of the ischemic cutoff of FFR and RFR. The Holo-Hilbert spectrum (HHS) were used to analyze pa, and the pressure difference (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\Delta p\)</EquationSource> </InlineEquation> = Pa − Pd) signals. Spectral power differences were compared using the Wilcoxon rank-sum test.</p> Results <p>Both qualitative and quantitative analyses showed that the spectral power within the region of interest (ROI) of the HHS was higher in functional-stenosis than in non-stenosis. The ROI demonstrated higher accuracy and F1-score using the FFR threshold compared with the RFR threshold. While the frequency band of frequency modulation was fixed at 0.5 ~ 1.5&#xa0;Hz, most of areas under curve were greater than 0.8. Using leave-one-out validation, an accuracy of 0.81 was obtained for the FFR ≤ 0.80 threshold.</p> Conclusion <p>The HHS of <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\Delta p\)</EquationSource> </InlineEquation> showed good diagnostic performance of the decomposed intrinsic signal in predicting functional stenosis, particularly excluding indeterminate stenosis. The results showed that HHS may provide complementary physiological information for functional stenosis assessment.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Toward Holo-Hilbert Spectral Analysis for Coronary Stenosis Assessment

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月23日

查看全文
  • Chun-Hsiang Huang,
  • Po-Hsun Huang,
  • Chien-Boon Jong,
  • Tzu-Chien Hsiao

摘要

Purpose

Fractional flow reserve (FFR) and resting-full-cycle ratio (RFR) are widely used to determine functional stenosis. However, the results of the FFR and RFR may be discordant. This study aims to decompose aortic (Pa) and distal (Pd) coronary pressure signals under non-hyperemic conditions and explore the variety of intrinsic information among the functional stenosis and non-stenosis of the coronary artery.

Methods

This study enrolled 21 patients with 21 vessels. The Pa and Pd signal were acquired by Pressure Wire X. Meanwhile, FFR and RFR also be assessment. Four models were tested separately according to the definition of the ischemic cutoff of FFR and RFR. The Holo-Hilbert spectrum (HHS) were used to analyze pa, and the pressure difference ( \(\Delta p\) = Pa − Pd) signals. Spectral power differences were compared using the Wilcoxon rank-sum test.

Results

Both qualitative and quantitative analyses showed that the spectral power within the region of interest (ROI) of the HHS was higher in functional-stenosis than in non-stenosis. The ROI demonstrated higher accuracy and F1-score using the FFR threshold compared with the RFR threshold. While the frequency band of frequency modulation was fixed at 0.5 ~ 1.5 Hz, most of areas under curve were greater than 0.8. Using leave-one-out validation, an accuracy of 0.81 was obtained for the FFR ≤ 0.80 threshold.

Conclusion

The HHS of \(\Delta p\) showed good diagnostic performance of the decomposed intrinsic signal in predicting functional stenosis, particularly excluding indeterminate stenosis. The results showed that HHS may provide complementary physiological information for functional stenosis assessment.