CT-FFR for Coronary In-stent Stenosis Based on ISR-Net Algorithm
NCT ID: NCT05131191
Last Updated: 2023-02-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
150 participants
OBSERVATIONAL
2022-01-01
2024-06-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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patients with coronary metal stents implantation
CT-FFR measurement
Patients were scanned with ≥ 64 row CT according to standard operating specifications. The software obtains the coronary CT angiography image file through the data communication interface. Based on the image processing algorithm, the centerline and contour of the target vessel can be extracted, and then the target vessel can be reconstructed to obtain the three-dimensional size information of the vessel; Based on hydrodynamics calculation and analysis, the fractional flow reserve (FFR) of each position of the target vessel is measured.
invasive FFR
Insert the pressure guide wire into the finger guide tube and push the pressure guide wire until the pressure sensor just comes out of the orifice of guiding catheter; Equalize PD and PA values;Push the pressure guide wire to the distal end of the lesion, and record the measured blood vessel and position;Record the resting Pd / PA of the pressure guide wire;Nitroglycerin and adenosine triphosphate were administered intravenously according to standard catheter laboratory specifications to achieve maximum hyperemia;Record the FFR value of the in-stent lesions.
Interventions
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CT-FFR measurement
Patients were scanned with ≥ 64 row CT according to standard operating specifications. The software obtains the coronary CT angiography image file through the data communication interface. Based on the image processing algorithm, the centerline and contour of the target vessel can be extracted, and then the target vessel can be reconstructed to obtain the three-dimensional size information of the vessel; Based on hydrodynamics calculation and analysis, the fractional flow reserve (FFR) of each position of the target vessel is measured.
invasive FFR
Insert the pressure guide wire into the finger guide tube and push the pressure guide wire until the pressure sensor just comes out of the orifice of guiding catheter; Equalize PD and PA values;Push the pressure guide wire to the distal end of the lesion, and record the measured blood vessel and position;Record the resting Pd / PA of the pressure guide wire;Nitroglycerin and adenosine triphosphate were administered intravenously according to standard catheter laboratory specifications to achieve maximum hyperemia;Record the FFR value of the in-stent lesions.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Be able to understand the purpose of the test and sign the informed consent form;
* Previous intracoronary stent implantation;
* According to the comprehensive clinical evaluation, coronary angiography and FFR were proposed;
* The coronary CT angiography images showed that the reference vessel diameter of the stenosis segment in the stent was ≥ 2mm;
* The stenosis degree of coronary stent diameter ≥ 30% and ≤ 90% by visual inspection.
Exclusion Criteria
* There are persistent or active symptoms of clinical instability, including acute chest pain (sudden onset), cardiogenic shock, unstable blood pressure state (systolic blood pressure less than 90 mmHg), severe congestive heart failure (NYHA cardiac function grade III or IV) or acute pulmonary edema;
* Acute myocardial infarction occurred within 7 days before enrollment;
* Patients with other severe diseases are not suitable for clinical trials, such as complex congenital heart history, sick sinus syndrome, long QT syndrome, severe arrhythmia or tachycardia, severe asthma, severe or very severe chronic obstructive pulmonary disease, chronic renal function impairment (serum creatinine value \> 1.5 mg / dL or creatinine clearance rate \< 45ml / kg · 1.73m2);
* There are contraindications to the use of disodium adenosine triphosphate;
* Allergic to iodized contrast media;
* Pregnancy or unknown pregnancy status;
* The expected life is less than 2 months;
* There are any other factors that the researchers believe are not suitable for inclusion or completion of this study.
* The coronary artery image was obviously misplaced;
* Coronary artery occlusion.
18 Years
90 Years
ALL
No
Sponsors
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Beijing Hospital
OTHER_GOV
Responsible Party
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Xue Yu
project manager
Principal Investigators
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Xue Yu, MD
Role: STUDY_CHAIR
Beijing Hospital, National Center of Gerontology
Locations
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Beijing Hospital
Beijing, , China
Countries
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References
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Li Z, Zhang J, Xu L, Yang W, Li G, Ding D, Chang Y, Yu M, Kitslaar P, Zhang S, Reiber JHC, Arbab-Zadeh A, Yan F, Tu S. Diagnostic Accuracy of a Fast Computational Approach to Derive Fractional Flow Reserve From Coronary CT Angiography. JACC Cardiovasc Imaging. 2020 Jan;13(1 Pt 1):172-175. doi: 10.1016/j.jcmg.2019.08.003. Epub 2019 Sep 18. No abstract available.
Tang CX, Liu CY, Lu MJ, Schoepf UJ, Tesche C, Bayer RR 2nd, Hudson HT Jr, Zhang XL, Li JH, Wang YN, Zhou CS, Zhang JY, Yu MM, Hou Y, Zheng MW, Zhang B, Zhang DM, Yi Y, Ren Y, Li CW, Zhao X, Lu GM, Hu XH, Xu L, Zhang LJ. CT FFR for Ischemia-Specific CAD With a New Computational Fluid Dynamics Algorithm: A Chinese Multicenter Study. JACC Cardiovasc Imaging. 2020 Apr;13(4):980-990. doi: 10.1016/j.jcmg.2019.06.018. Epub 2019 Aug 14.
Coenen A, Kim YH, Kruk M, Tesche C, De Geer J, Kurata A, Lubbers ML, Daemen J, Itu L, Rapaka S, Sharma P, Schwemmer C, Persson A, Schoepf UJ, Kepka C, Hyun Yang D, Nieman K. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium. Circ Cardiovasc Imaging. 2018 Jun;11(6):e007217. doi: 10.1161/CIRCIMAGING.117.007217.
Ko BS, Cameron JD, Munnur RK, Wong DTL, Fujisawa Y, Sakaguchi T, Hirohata K, Hislop-Jambrich J, Fujimoto S, Takamura K, Crossett M, Leung M, Kuganesan A, Malaiapan Y, Nasis A, Troupis J, Meredith IT, Seneviratne SK. Noninvasive CT-Derived FFR Based on Structural and Fluid Analysis: A Comparison With Invasive FFR for Detection of Functionally Significant Stenosis. JACC Cardiovasc Imaging. 2017 Jun;10(6):663-673. doi: 10.1016/j.jcmg.2016.07.005. Epub 2016 Oct 19.
Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, Dijkshoorn ML, van Geuns RJ, Schoebinger M, Itu L, Sharma P, Nieman K. Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm. J Cardiovasc Comput Tomogr. 2016 Mar-Apr;10(2):105-13. doi: 10.1016/j.jcct.2015.12.006. Epub 2015 Dec 18.
Fuchs A, Kuhl JT, Chen MY, Helqvist S, Razeto M, Arakita K, Steveson C, Arai AE, Kofoed KF. Feasibility of coronary calcium and stent image subtraction using 320-detector row CT angiography. J Cardiovasc Comput Tomogr. 2015 Sep-Oct;9(5):393-8. doi: 10.1016/j.jcct.2015.03.016. Epub 2015 Apr 16.
Other Identifiers
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CT-FFR for in-stent lesion
Identifier Type: -
Identifier Source: org_study_id
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