Quantitative coronary computed tomography angiography assessment of chronic total occlusion percutaneous coronary intervention.
Coronary computed tomography angiography
chronic total occlusion
percutaneous coronary intervention
quantitative analysis
Journal
Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942
Informations de publication
Date de publication:
Jul 2022
Jul 2022
Historique:
received:
28
10
2021
accepted:
29
03
2022
entrez:
5
7
2022
pubmed:
6
7
2022
medline:
6
7
2022
Statut:
ppublish
Résumé
Morphological and clinical characteristics are widely used to predict the success of percutaneous coronary intervention (PCI) in patients with chronic total occlusion (CTO). However, the impact of quantitative characteristics derived from coronary computed tomography angiography (CCTA) on guidewire crossing and PCI success is still unclear. This study aimed to explore the association between these quantitative characteristics and the difficulty of PCI for CTO. A total of 207 CTO lesions from 201 patients (84.6% male; mean age 58.9 years) with pre-procedural CCTA scans who had undergone PCI for CTO were retrospectively enrolled in this case-control study. A semi-automated CCTA plaque-analysis software was adopted to obtain the total plaque volume and volume of each component according to the Hounsfield Unit (HU) value, including dense calcium (>351 HU), fibrous (131-350 HU), fibrofatty (76-130 HU), and necrotic core (-30-75 HU) tissue. Differences in the quantitative characteristics of the CTO lesions were compared between: (I) the group of lesions with successful guidewire crossing (≤30 min) and the group with failed guidewire crossing (≤30 min); (II) the group of lesions with procedural success [defined as achieving residual stenosis of <30% and a grade 3 thrombolysis in myocardial infarction (TIMI) flow] and the group with procedural failure. Logistic regression was used to explore the association of quantitative characteristics with successful guidewire crossing in ≤30 min and procedural success. A total of 131 (63.3%) lesions of 126 patients achieved successful guidewire crossing in ≤30 min and 157 (75.8%) lesions of 152 (75.6%) patients achieved procedural success. Quantitative characteristics such as occlusion length, plaque volume, volume of dense calcium, and fibrous and fibrofatty tissue showed significant differences between the groups of lesions with successful guidewire crossing in ≤30 min and with failed guidewire crossing in ≤30 min, as well as the groups of lesions with procedural success and with procedural failure. According to the results of logistic regression analysis, lower percentages of dense calcium [odds ratio (OR) =0.970, 95% confidence interval (CI): 0.950 to 0.991; P=0.004] and fibrous (OR =0.970, 95% CI: 0.949 to 0.992; P=0.007) tissue and higher percentage of necrotic core tissue (OR =1.018, 95% CI: 1.005 to 1.030; P=0.005) were significantly associated with successful guidewire crossing in ≤30 min. Decreased percentages of dense calcium (OR =0.969; 95% CI: 0.949 to 0.989; P=0.002) and fibrous tissue (OR =0.966, 95% CI: 0.944 to 0.990; P=0.005) and higher percentage of necrotic core tissue (OR =1.022, 95% CI: 1.008 to 1.036; P=0.002) were associated with procedural success. After adjusting for cardiovascular risk factors, the percentages of dense calcium, fibrous, and necrotic core tissue were still associated with successful guidewire crossing in ≤30 min, and the quantitative parameters showed consistent association with procedural success. Quantitative characteristics derived from CCTA for CTO are associated with successful guidewire crossing and procedural success of PCI.
Sections du résumé
Background
UNASSIGNED
Morphological and clinical characteristics are widely used to predict the success of percutaneous coronary intervention (PCI) in patients with chronic total occlusion (CTO). However, the impact of quantitative characteristics derived from coronary computed tomography angiography (CCTA) on guidewire crossing and PCI success is still unclear. This study aimed to explore the association between these quantitative characteristics and the difficulty of PCI for CTO.
Methods
UNASSIGNED
A total of 207 CTO lesions from 201 patients (84.6% male; mean age 58.9 years) with pre-procedural CCTA scans who had undergone PCI for CTO were retrospectively enrolled in this case-control study. A semi-automated CCTA plaque-analysis software was adopted to obtain the total plaque volume and volume of each component according to the Hounsfield Unit (HU) value, including dense calcium (>351 HU), fibrous (131-350 HU), fibrofatty (76-130 HU), and necrotic core (-30-75 HU) tissue. Differences in the quantitative characteristics of the CTO lesions were compared between: (I) the group of lesions with successful guidewire crossing (≤30 min) and the group with failed guidewire crossing (≤30 min); (II) the group of lesions with procedural success [defined as achieving residual stenosis of <30% and a grade 3 thrombolysis in myocardial infarction (TIMI) flow] and the group with procedural failure. Logistic regression was used to explore the association of quantitative characteristics with successful guidewire crossing in ≤30 min and procedural success.
Results
UNASSIGNED
A total of 131 (63.3%) lesions of 126 patients achieved successful guidewire crossing in ≤30 min and 157 (75.8%) lesions of 152 (75.6%) patients achieved procedural success. Quantitative characteristics such as occlusion length, plaque volume, volume of dense calcium, and fibrous and fibrofatty tissue showed significant differences between the groups of lesions with successful guidewire crossing in ≤30 min and with failed guidewire crossing in ≤30 min, as well as the groups of lesions with procedural success and with procedural failure. According to the results of logistic regression analysis, lower percentages of dense calcium [odds ratio (OR) =0.970, 95% confidence interval (CI): 0.950 to 0.991; P=0.004] and fibrous (OR =0.970, 95% CI: 0.949 to 0.992; P=0.007) tissue and higher percentage of necrotic core tissue (OR =1.018, 95% CI: 1.005 to 1.030; P=0.005) were significantly associated with successful guidewire crossing in ≤30 min. Decreased percentages of dense calcium (OR =0.969; 95% CI: 0.949 to 0.989; P=0.002) and fibrous tissue (OR =0.966, 95% CI: 0.944 to 0.990; P=0.005) and higher percentage of necrotic core tissue (OR =1.022, 95% CI: 1.008 to 1.036; P=0.002) were associated with procedural success. After adjusting for cardiovascular risk factors, the percentages of dense calcium, fibrous, and necrotic core tissue were still associated with successful guidewire crossing in ≤30 min, and the quantitative parameters showed consistent association with procedural success.
Conclusions
UNASSIGNED
Quantitative characteristics derived from CCTA for CTO are associated with successful guidewire crossing and procedural success of PCI.
Identifiants
pubmed: 35782239
doi: 10.21037/qims-21-1050
pii: qims-12-07-3625
pmc: PMC9246761
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3625-3639Informations de copyright
2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-21-1050/coif). The authors have no conflicts of interest to declare.
Références
Circ Cardiovasc Imaging. 2017 Apr;10(4):
pubmed: 28389507
JACC Cardiovasc Imaging. 2021 Oct;14(10):1993-2004
pubmed: 34147439
EuroIntervention. 2018 Dec 07;14(11):e1199-e1206
pubmed: 29808821
Circ Cardiovasc Interv. 2020 Feb;13(2):e008448
pubmed: 32069112
J Am Coll Cardiol. 2018 Jun 5;71(22):2511-2522
pubmed: 29852975
J Am Coll Cardiol. 2020 Apr 28;75(16):1975-2088
pubmed: 32217040
JACC Cardiovasc Imaging. 2018 Oct;11(10):1461-1471
pubmed: 29778853
Korean J Radiol. 2018 Mar-Apr;19(2):256-264
pubmed: 29520183
JACC Cardiovasc Interv. 2015 Feb;8(2):245-253
pubmed: 25700746
JACC Cardiovasc Interv. 2011 Feb;4(2):213-21
pubmed: 21349461
J Cardiovasc Comput Tomogr. 2014 Sep-Oct;8(5):342-58
pubmed: 25301040
EuroIntervention. 2005 Aug;1(2):219-27
pubmed: 19758907
JACC Cardiovasc Interv. 2018 Nov 26;11(22):2276-2283
pubmed: 30466826
Eur Heart J. 2012 Apr;33(8):1007-16
pubmed: 22285583
Quant Imaging Med Surg. 2020 Mar;10(3):668-677
pubmed: 32269927
Eur Heart J Cardiovasc Imaging. 2017 Dec 01;18(12):1331-1339
pubmed: 28950315
JACC Cardiovasc Imaging. 2019 Nov;12(11 Pt 1):2196-2206
pubmed: 30772219
Int J Cardiovasc Imaging. 2013 Jun;29(5):1177-90
pubmed: 23417447
JACC Cardiovasc Imaging. 2020 Jun;13(6):1409-1417
pubmed: 31734214
Circ J. 2011;75(2):366-75
pubmed: 21068512
JACC Cardiovasc Interv. 2015 Feb;8(2):257-267
pubmed: 25700748
JACC Cardiovasc Imaging. 2018 Feb;11(2 Pt 1):209-217
pubmed: 28624404
Circulation. 2019 Jul 30;140(5):420-433
pubmed: 31356129
Eur Heart J. 2014 Jul 1;35(25):1683-93
pubmed: 24126875
Am J Cardiol. 2017 Nov 15;120(10):1780-1786
pubmed: 28867125
Quant Imaging Med Surg. 2022 Feb;12(2):1484-1498
pubmed: 35111641
JACC Cardiovasc Interv. 2016 Jan 11;9(1):1-9
pubmed: 26762904