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Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?

BACKGROUND: Angio-based index of microcirculatory resistance (IMR) and fractional flow reserve (FFR) have been developed, however, the differences between baseline and hyperemic data and their effects on their computation have not yet been discussed. This study aimed to compare the diagnostic perfor...

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Autores principales: Li, Chenguang, Hu, Yumeng, Wang, Jingpu, Pan, Congcong, Lu, Hao, Wu, Yizhe, Chen, Zhangwei, Pei, Zhiqiang, Shen, Li, He, Jingsong, Leng, Xiaochang, Xiang, Jianping, Ge, Junbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498260/
https://www.ncbi.nlm.nih.gov/pubmed/37711819
http://dx.doi.org/10.21037/qims-23-72
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author Li, Chenguang
Hu, Yumeng
Wang, Jingpu
Pan, Congcong
Lu, Hao
Wu, Yizhe
Chen, Zhangwei
Pei, Zhiqiang
Shen, Li
He, Jingsong
Leng, Xiaochang
Xiang, Jianping
Ge, Junbo
author_facet Li, Chenguang
Hu, Yumeng
Wang, Jingpu
Pan, Congcong
Lu, Hao
Wu, Yizhe
Chen, Zhangwei
Pei, Zhiqiang
Shen, Li
He, Jingsong
Leng, Xiaochang
Xiang, Jianping
Ge, Junbo
author_sort Li, Chenguang
collection PubMed
description BACKGROUND: Angio-based index of microcirculatory resistance (IMR) and fractional flow reserve (FFR) have been developed, however, the differences between baseline and hyperemic data and their effects on their computation have not yet been discussed. This study aimed to compare the diagnostic performance of a novel method for calculating IMR and FFR from coronary angiography under baseline and hyperemic conditions. METHODS: We performed a retrospective study to investigate the diagnostic performance of angiography-derived IMR (AccuIMR) and FFR (AccuFFRangio) computed from the hyperemic condition (AccuIMR(hyp), AccuFFRangio(hyp)) and baseline condition (AccuIMR(base), AccuFFRangio(base)) in 101 consecutive patients with chronic coronary syndrome (CCS) who underwent measurements of IMR and FFR at a single center, using wire-based IMR and FFR as the reference standard. RESULTS: AccuIMR(hyp) showed much better correlation with IMR than AccuIMR(base) (r=0.77 vs. 0.47, P<0.001). The diagnostic accuracy and area under the curve (AUC) for identifying significant microvascular dysfunction was higher for AccuIMR(hyp) than AccuIMR(base) [92.1% (95% CI: 85.0–96.5%) vs. 83.2% (95% CI: 74.4–89.9%), P=0.012; 0.942 (95% CI: 0.877–0.979) vs. 0.815 (95% CI: 0.726–0.886), P=0.003]. The computed AccuFFRangio showed good correlations with FFR and good diagnostic performance under both hyperemic and baseline conditions [r=0.68 vs. 0.68, P>0.99; diagnostic accuracy =95.9% (95% CI: 89.8–98.9%) vs. 94.9% (95% CI: 88.4–98.3%), P=0.728; AUC =0.989 (95% CI: 0.942–1.000) vs. 0.973 (95% CI: 0.919–0.995), P=0.381]. The net reclassification index (NRI) demonstrated that hyperemic group had improved reclassification ability compared to the baseline group in identification of IMR >25 (NRI =0.20, P<0.001) and FFR ≤0.8 (NRI =0.11, P<0.001). CONCLUSIONS: By comparing the calculated angio-derived IMR and FFR under the baseline and hyperemic conditions, this study demonstrates that AccuIMR calculation is more accurate using the hyperemic condition, while AccuFFRangio calculation is accurate under both conditions.
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spelling pubmed-104982602023-09-14 Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve? Li, Chenguang Hu, Yumeng Wang, Jingpu Pan, Congcong Lu, Hao Wu, Yizhe Chen, Zhangwei Pei, Zhiqiang Shen, Li He, Jingsong Leng, Xiaochang Xiang, Jianping Ge, Junbo Quant Imaging Med Surg Original Article BACKGROUND: Angio-based index of microcirculatory resistance (IMR) and fractional flow reserve (FFR) have been developed, however, the differences between baseline and hyperemic data and their effects on their computation have not yet been discussed. This study aimed to compare the diagnostic performance of a novel method for calculating IMR and FFR from coronary angiography under baseline and hyperemic conditions. METHODS: We performed a retrospective study to investigate the diagnostic performance of angiography-derived IMR (AccuIMR) and FFR (AccuFFRangio) computed from the hyperemic condition (AccuIMR(hyp), AccuFFRangio(hyp)) and baseline condition (AccuIMR(base), AccuFFRangio(base)) in 101 consecutive patients with chronic coronary syndrome (CCS) who underwent measurements of IMR and FFR at a single center, using wire-based IMR and FFR as the reference standard. RESULTS: AccuIMR(hyp) showed much better correlation with IMR than AccuIMR(base) (r=0.77 vs. 0.47, P<0.001). The diagnostic accuracy and area under the curve (AUC) for identifying significant microvascular dysfunction was higher for AccuIMR(hyp) than AccuIMR(base) [92.1% (95% CI: 85.0–96.5%) vs. 83.2% (95% CI: 74.4–89.9%), P=0.012; 0.942 (95% CI: 0.877–0.979) vs. 0.815 (95% CI: 0.726–0.886), P=0.003]. The computed AccuFFRangio showed good correlations with FFR and good diagnostic performance under both hyperemic and baseline conditions [r=0.68 vs. 0.68, P>0.99; diagnostic accuracy =95.9% (95% CI: 89.8–98.9%) vs. 94.9% (95% CI: 88.4–98.3%), P=0.728; AUC =0.989 (95% CI: 0.942–1.000) vs. 0.973 (95% CI: 0.919–0.995), P=0.381]. The net reclassification index (NRI) demonstrated that hyperemic group had improved reclassification ability compared to the baseline group in identification of IMR >25 (NRI =0.20, P<0.001) and FFR ≤0.8 (NRI =0.11, P<0.001). CONCLUSIONS: By comparing the calculated angio-derived IMR and FFR under the baseline and hyperemic conditions, this study demonstrates that AccuIMR calculation is more accurate using the hyperemic condition, while AccuFFRangio calculation is accurate under both conditions. AME Publishing Company 2023-08-09 2023-09-01 /pmc/articles/PMC10498260/ /pubmed/37711819 http://dx.doi.org/10.21037/qims-23-72 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Li, Chenguang
Hu, Yumeng
Wang, Jingpu
Pan, Congcong
Lu, Hao
Wu, Yizhe
Chen, Zhangwei
Pei, Zhiqiang
Shen, Li
He, Jingsong
Leng, Xiaochang
Xiang, Jianping
Ge, Junbo
Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
title Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
title_full Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
title_fullStr Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
title_full_unstemmed Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
title_short Are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
title_sort are baseline conditions of coronary arteries sufficient for calculating angio-based index of microcirculatory resistance and fractional flow reserve?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498260/
https://www.ncbi.nlm.nih.gov/pubmed/37711819
http://dx.doi.org/10.21037/qims-23-72
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