Relationship Between Routine Preoperative Chest CT-Based Cardiac Parameters and Recanalization After Mechanical

Weizhi Xia1, Yingbao Huang2, Qi Chen1

  • 1Department of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.

Insights

Cardiac parameters on chest CT scans predict successful recanalization in acute ischemic stroke (AIS) patients undergoing thrombectomy. This finding aids in predicting treatment outcomes for AIS.

Area of Science:

  • Cardiology
  • Neurology
  • Radiology

Background:

  • Acute ischemic stroke (AIS) is the most common type of stroke.
  • The brain-heart interaction is crucial in stroke pathophysiology and treatment response.
  • Predicting successful recanalization after thrombectomy is vital for patient outcomes.

Purpose of the Study:

  • To investigate the association between cardiac parameters visible on routine preoperative chest CT scans and successful recanalization in AIS patients treated with thrombectomy.
  • To identify independent predictors of recanalization from cardiac CT findings.
  • To develop and validate a predictive model (nomogram) for recanalization.

Main Methods:

  • Retrospective analysis of 215 AIS patients who received thrombectomy within 24 hours.
  • Admission non-contrast chest computed tomography (NCCT) was used to assess cardiac parameters.
  • Successful recanalization was defined by a modified Treatment in Cerebral Ischemia (mTICI) score of 2b-3.
  • Multivariable logistic regression, ROC analysis, calibration, and decision curve analysis were employed.

Main Results:

  • The study included 215 patients (72 years median age, 63.7% male) with prevalent hypertension, atrial fibrillation, and pleural effusion.
  • Successful recanalization was achieved in 80% of patients (172/215).
  • Independent predictors of successful recanalization included mean arterial pressure, left pulmonary artery diameter, RV/A ratio, septal angle, and intraventricular septal angle.
  • The developed nomogram demonstrated strong predictive performance (AUC of 0.774) with good calibration and clinical utility.

Conclusions:

  • Cardiac parameters assessed on routine preoperative chest CT scans are significantly correlated with recanalization success after thrombectomy in AIS patients.
  • The developed nomogram provides a reliable tool for clinical risk stratification and prediction of thrombectomy outcomes in AIS.
  • These findings highlight the utility of incidental cardiac findings on chest CT for predicting neurological outcomes.