Objective: The aim of this study was to evaluate the efficacy of scoring balloon angioplasty for drug-coated balloon (DCB) treatment in percutaneous coronary intervention. Background: The scoring balloon angioplasty may play a pivotal role in enhancing the outcomes of DCB treatment. Methods: A total of 259 patients (278 lesions) with coronary artery disease successfully treated with DCB were retrospectively enrolled. The mean age of the patients was 62.2 ± 11.1 years, and the majority of patients were men (68.7%). The study’s endpoint was defined as achieving an optimal angiographic result, which consisted of Thrombolysis in Myocardial Infarction (TIMI) flow grade 3, residual diameter stenosis ≤ 30%, and dissection less than type C after the procedure. Results: Angioplasty was performed for 61 lesions with a scoring balloon and 217 lesions with a non-scoring balloon. All lesions were TIMI flow grade 3 except two lesions in the non-scoring balloon group. The scoring balloon group had a higher prevalence of residual diameter stenosis ≤ 30% (68.9% vs. 39.6%, p < 0.001), while severe dissection, defined as type C or greater, was observed less frequently (9.8% vs. 31.8%, p = 0.001). Moreover, the scoring balloon group achieved a superior rate of optimal angiographic results (60.7% vs. 28.6%, p < 0.001). In multivariable analysis, scoring balloon (OR: 3.08 [95% confidence interval, 1.47–6.58], p = 0.003) and DCB balloon-to-artery ratios (OR: 5.46 [95% confidence interval, 1.43–21.93], p = 0.014) were independent factors in the increasing rate of optimal angiographic result. Conclusions: The application of a scoring balloon catheter for lesion preparation, aiming to make them suitable for DCB treatment, was associated with a decreased risk of severe dissection and a greater occurrence of optimal angiographic outcomes compared with non-scoring balloon angioplasty.
Aims: Acute coronary syndrome (ACS) exhibits marked sex-related differences in clinical presentation and underlying pathophysiology. However, whether these differences translate into variations in culprit lesion prediction remains unclear. We investigated the sex-specific performance of conventional coronary computed tomography angiography (CCTA) and artificial intelligence-enabled quantitative coronary plaque and haemodynamic assessment (AI-QCPHA) for ACS culprit detection. Methods and results: In this sub-study of the EMERALD II trial (NCT03591328), patients with ACS who underwent CCTA 1 month to 3 years prior to the event were analysed. Culprit and non-culprit lesions were defined by invasive coronary angiography at the time of ACS. Diagnostic performance of obstructive stenosis (Coronary Artery Disease-Reporting and Data System ≥ 3) and high-risk plaque (HRP) criteria was compared between women and men. Information gain-based feature selection identified sex-specific AI-QCPHA best predictors across five feature clusters, and their incremental predictive value was evaluated using receiver operating characteristics reported as area under the curve (AUC). A total of 351 patients (90 women, 261 men) with 2451 lesions were included. Conventional CCTA performed similarly across sexes for obstructive stenosis, whereas HRP differed by sex. AI-QCPHA identified the same best features for ACS culprit prediction in both sexes, and integration of these features improved discriminatory performance beyond conventional CCTA (women AUC 0.84 vs. 0.78, P = 0.002; men 0.82 vs. 0.75, P < 0.001). Among individual predictors, delta fractional flow reserve from coronary computed tomography angiography yielded the highest discriminatory performance in both women and men. Conclusion: AI-QCPHA enhances culprit lesion prediction in obstructive ACS beyond conventional CCTA in both sexes, supporting its potential role for improved culprit lesion discrimination.