Submitted:
28 June 2024
Posted:
01 July 2024
You are already at the latest version
Abstract

Keywords:
Introduction:
Methods
Study Population
Methodology
Procedures
Urgent Coronary Angiography
FFR Measurements
OCT Imaging
The Decision for Revascularization
Postrevascularization Procedures
Statistical Analysis
Ethics
Results
Discussions:
Study Limitations:
Conclusions
Acknowledgment funding
References
- Mátyás, Botond-Barna, Emanuel Blîndu, Nóra Rat, István Kovács, Corneliu-Florin Buicu, and Theodora Benedek. "A Race Against Time: Coronary Computed Tomography Angiography Discovers a Highly Inflamed Plaque in 49-Year-Old Right Before STEMI." Journal of Cardiology and Cardiovascular Therapy 10, no. 3 (2023): 123-130. [CrossRef]
- Kennedy MW, Fabris E, Ijsselmuiden AJ, Nef H, Reith S, Escaned J, Alfonso F, van Royen N, Wojakowski W, Witkowski A, Indolfi C, Ottervanger JP, Suryapranata H, Kedhi E. Combined optical coherence tomography morphologic and fractional flow reserve hemodynamic assessment of non- culprit lesions to better predict adverse event outcomes in diabetes mellitus patients: COMBINE (OCT-FFR) prospective study. Rationale and design. Cardiovasc Diabetol. 2016 Oct 10;15(1):144. PMID: 27724869; PMCID: PMC5057218. [CrossRef]
- Elvin Kedhi, Balazs Berta, Tomasz Roleder, Renicus S Hermanides, Enrico Fabris, Alexander J J IJsselmuiden, Floris Kauer, Fernando Alfonso, Clemens von Birgelen, Javier Escaned, Cyril Camaro, Mark W Kennedy, Bruno Pereira, Michael Magro, Holger Nef, Sebastian Reith, Arif Al Nooryani, Fernando Rivero, Krzysztof Malinowski, Giuseppe De Luca, Hector Garcia Garcia, Juan F Granada, Wojciech Wojakowski, Thin-cap fibroatheroma predicts clinical events in diabetic patients with normal fractional flow reserve: The COMBINE OCT–FFR trial, European Heart Journal, Volume 42, Issue 45, 1 December 2021, Pages 4671–4679. [CrossRef]
- Sinclair, H, Bourantas, C, Bagnall, A. et al. OCT for the Identification of Vulnerable Plaque in Acute Coronary Syndrome. J Am Coll Cardiol Img. 2015 Feb, 8 (2) 198–209. [CrossRef]
- Blîndu, Emanuel, Imre Benedek, Ioana-Patricia Rodean, Vasile-Bogdan Halațiu, Nora Raț, Constantin Țolescu, Theofana Mihăilă, Aurelian Roșca, Botond-Barna Mátyás, Evelin Szabó, Renáta Gerculy, Dan Păsăroiu, Florin Buicu, and Theodora Benedek. "Regional Differences in the Level of Inflammation Between the Right and Left Coronary Arteries – a Coronary Computed Tomography Angiography Study of Epicardial Fat Attenuation Index in Four Scenarios of Cardiovascular Emergencies." Journal of Cardiology and Cardiovascular Therapy 11, no. 2 (2023): 45-54. [CrossRef]
- Bech, G. J., De Bruyne, B., Pijls, N. H., de Muinck, E. D., Hoorntje, J. C., Escaned, J., ... & Van Gelder, B. (2001). Fractional flow reserve to determine the appropriateness of angioplasty in moderate coronary stenosis: A randomized trial. Circulation, 103(24), 2928-2934.
- Tonino, P. A., De Bruyne, B., Pijls, N. H., Siebert, U., Ikeno, F., van’ t Veer, M., ... & Fearon, W. F. (2009). Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. New England Journal of Medicine, 360(3), 213-224.
- De Bruyne, B., Pijls, N. H., Kalesan, B., Barbato, E., Tonino, P. A., Piroth, Z., ... & van ‘t Veer, M. (2012). Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. New England Journal of Medicine, 367(11), 991-1001.
- Davies, J. E., Sen, S., Dehbi, H. M., Al-Lamee, R., Petraco, R., Nijjer, S. S., ... & Mayet, J. (2017). Use of the instantaneous wave-free ratio or fractional flow reserve in PCI. New England Journal of Medicine, 376(19), 1824-1834. [CrossRef]
- Jang, I. K., Bouma, B. E., Kang, D. H., Park, S. J., Park, S. W., Seung, K. B., ... & Yoon, M. H. (2010). Visualization of coronary atherosclerotic plaques in patients using optical coherence tomography: Comparison with intravascular ultrasound. Journal of the American College of Cardiology: Cardiovascular Imaging, 3(3), 317-327.
- Stone, G. W., Maehara, A., Lansky, A. J., de Bruyne, B., Cristea, E., Mintz, G. S., ... & Mehran, R. (2011). A prospective natural-history study of coronary atherosclerosis. New England Journal of Medicine, 364(3), 226-235. [CrossRef]
- Tearney, G. J., Regar, E., Akasaka, T., Adriaenssens, T., Barlis, P., Bezerra, H. G., ... & Prati, F. (2019). Consensus standards for acquisition, measurement, and reporting of intravascular optical coherence tomography studies: A report from the International Working Group for Intravascular Optical Coherence Tomography Standardization and Validation. JACC Cardiovascular Imaging, 12(3), 458-472.
- Prati, F., Regar, E., Mintz, G. S., Arbustini, E., Di Mario, C., Jang, I. K., ... & Guagliumi, G. (2011). Expert review document on methodology, terminology, and clinical applications of optical coherence tomography: Physical principles, methodology of image acquisition, and clinical application for assessment of coronary arteries and atherosclerosis. European Heart Journal, 32(3), 334-342. [CrossRef]
- Mol JQ, Volleberg RHJA, Belkacemi A, Hermanides RS, Meuwissen M, Protopopov AV, Laanmets P, Krestyaninov OV, Dennert R, Oemrawsingh RM, van Kuijk JP, Arkenbout K, van der Heijden DJ, Rasoul S, Lipsic E, Rodwell L, Camaro C, Damman P, Roleder T, Kedhi E, van Leeuwen MAH, van Geuns RM, van Royen N. Fractional Flow Reserve-Negative High-Risk Plaques and Clinical Outcomes After Myocardial Infarction. JAMA Cardiol. 2023 Nov 1;8(11):1013-1021. PMID: 37703036; PMCID: PMC10500430. [CrossRef]
- Bergmark B, Dallan LAP, Pereira GTR, Kuder JF, Murphy SA, Buccola J, Wollmuth J, Lopez J, Spinelli J, Meinen J, West NEJ, Croce K; LightLab Initiative Investigators. Decision-Making During Percutaneous Coronary Intervention Guided by Optical Coherence Tomography: Insights From the LightLab Initiative. Circ Cardiovasc Interv. 2022 Nov;15(11):872-881. Epub 2022 Nov 15. PMID: 36378739; PMCID: PMC9648988. [CrossRef]



| Group 1 (FFR) (N=18) |
Group 2 (FFR&OCT) (N=18) | P value | |
| Age, mean ± SD | 60.70 ± 10.71 | 59.76 ± 9.89 | ns |
| Sex, male, n (%) | 17 (94.44%) | 14 (77.77%) | ns |
| Diabetes mellitus n (%) | 4 (22.22%) | 5 (27.77%) | ns |
| Smoker* n (%) | 7 (38%) | 4 (22.22%) | ns |
| Hypercholesterolemia n (%) | 10 (55.55%) | 6 (33.33%) | ns |
| Hypertension n (%) | 14 (77.77%) | 12 (66.66%) | ns |
| Family history of heart disease n (%) | 6 (33.33%) | 5 (27.77%) | ns |
| History of ACS n (%) | 3 (16.66%) | 2 (11.11%) | ns |
| Prior PCI n (%) | 2 (11.11%) | 2 (11.11%) | ns |
| Type of ACS | |||
| STEMI n (%) | 6 (33.33%) | 11 (61.11%) | ns |
| N-STEMI n (%) | 8 (44.44%) | 2 (11.11%) | ns |
| UA n (%) | 4 (22.22%) | 5 (27.77%) | ns |
| Number of non-culprit lesions | Group 1 (FFR) N= 23 |
Group 2 (FFR&OCT) N= 30 |
P value |
| Location | |||
| RCA n (%) | 9 (39.12%) | 8 (26.66%) | ns |
| LAD n (%) | 9 (39.12%) | 12 (40%) | ns |
| LCX n (%) | 5 (21.73%) | 10 (33.33%) | ns |
| Total number of balloon predilatation | 5 (21.73%) | 5 (16.66%) | ns |
| RCA n (%) | 3 (13.04%) | 0 (00.00%) | ns |
| ADA n (%) | 1 (4.34%) | 2 (6.66%) | ns |
| ACX n (%) | 1 (4.34%) | 3 (10%) | ns |
| Total number of stent placement | 11 (47.82%) | 22 (73.33%) | ns |
| RCA n (%) | 4 (17.39%) | 5 (16.66%) | ns |
| ADA n (%) | 5 (21.73%) | 10 (33.33%) | ns |
| ACX n (%) | 2 (8.69%) | 7 (23.33%) | ns |
| Modified decision | Group 1 (FFR) N=18 |
Group 2 (FFR&OCT) N=18 |
P value |
| To stent based on FFR n (%) | 4 (22.22%) | 4 (22.22%) | ns |
| To stent based on OCT n (%) | 11 (66.66%) | ||
| Total modified decision to stent | 4 (22.22%) | 15 (88.88%) | 0.0006 |
| Not to stent based on FFR n (%) | 3 (16.66%) | 0 (00.00%) | ns |
| Total modified decisions n (%) | 7 (38.88%) | 15 (88.88%) | 0.0153 |
| Location | N=13 |
| RCA n% | 4 (30.76%) |
| ADA n% | 5 (38.46%) |
| ACX n% | 4 (30.76) |
| Vulnerability criteria | |
| TCFA | 11 |
| Plaque rupture | 4 |
| Plaque erosion | 4 |
| FFR values | |
| RCA, mean ± SD | 0.88 ± 0.07 |
| ADA, mean ± SD | 0.85 ± 0.04 |
| ACX, mean ± SD | 0.89 ± 0.08 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).