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Interpretable Multimodal Deep Learning Based on Computed Tomography Angiography for Predicting Carotid Sinus Reaction Induced by Carotid Artery Stenting

Interpretable Multimodal Deep Learning Based on Computed Tomography Angiography for Predicting Carotid Sinus Reaction Induced by Carotid Artery Stenting

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121058
Enrollment
Unknown
Registered
2026-03-25
Start date
2026-03-27
Completion date
Unknown
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Carotid Sinus Reaction

Interventions

CSR Group: Patients who developed carotid sinus reaction (CSR) intraoperatively or within 24 hours following carotid artery stenting (CAS).:None
Non-CSR Group: Patients who did not develop carotid sinus reaction (CSR) intraoperatively or within 24 hours following carotid artery stenting (CAS).:None

Sponsors

Shengjing Hospital of China Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Aged between 18 and 80 years; 2. Diagnosed with severe carotid artery stenosis (= 70%, according to the NASCET criteria) via head and neck computed tomography angiography (CTA) between January 1, 2016, and December 31, 2025; 3. Underwent carotid artery stenting (CAS) between January 1, 2016, and December 31, 2025; 4. Received first-time endovascular treatment for the target carotid lesion; 5. Had complete preoperative head and neck CTA data available in raw formats (e.g., DICOM); 6. Presented with stenosis located at the common carotid artery bifurcation or the origin of the internal carotid artery (C1 segment); 7. Possessed complete perioperative vital sign monitoring records, including continuous electrocardiogram (ECG) and blood pressure measurements.

Exclusion criteria

Exclusion criteria: 1. Known history of carotid sinus syndrome or orthostatic syncope; 2. Regular use of medications significantly affecting autonomic nervous function (e.g., beta-blockers, non-dihydropyridine calcium channel blockers, or digitalis) within 3 months prior to surgery, without a washout period of = 5 half-lives before the procedure; 3. Preoperative electrocardiogram (ECG) indicating sinus bradycardia (sustained resting heart rate = 50 beats/min) or a diagnosis of sick sinus syndrome; 4. Severe heart block (second-degree type II or higher atrioventricular block, third-degree atrioventricular block) or pacemaker dependency; 5. History of neck radiotherapy; 6. History of severe trauma or surgical procedures on the ipsilateral neck; 7. Carotid in-stent restenosis (i.e., previous carotid artery stenting at the target lesion); 8. Restenosis following carotid endarterectomy (CEA) (i.e., previous CEA at the target lesion); 9. Unsuccessful stent deployment during the procedure; 10. Perioperative occurrence of acute myocardial infarction, severe arrhythmias (e.g., ventricular tachycardia, ventricular fibrillation), or other major cardiovascular events; 11. Perioperative severe neurological complications, such as intracranial hemorrhage or massive cerebral infarction (infarct volume > 80 mL); 12. Severe allergic reactions to iodine contrast agents during the perioperative period; 13. Severe chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD, GOLD stage 3–4) or dependence on long-term home oxygen therapy; 14. Presence of active malignancies (excluding basal cell carcinoma of the skin or carcinoma in situ) accompanied by involuntary weight loss of = 10% within 6 months, a body mass index (BMI) < 18.5 kg/m² (excluding confounding by edema or ascites), or a confirmed clinical diagnosis of cachexia or severe malnutrition; 15. Substandard CTA image quality due to significant artifacts, severe calcification interference, incomplete scanning coverage, or insufficient resolution that impairs image post-processing and feature extraction (independently assessed by at least two experienced neurosurgeons).

Design outcomes

Primary

MeasureTime frame
Precision;Recall;F1-score;AUC (area under the receiver operating characteristic curve);Micro-ACC (micro-averaged accuracy);

Countries

China

Contacts

Public ContactYao Yilong

Shengjing Hospital of China Medical University

yaoyilong_322@163.com+86 189 4025 2644

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 4, 2026