Dynamic Imaging Features of Retrospective Cardiac Gating CT Angiography Influence Delayed Adverse Events in Acute

Shuo Zhao1, Hui Gu1, Baojin Chen1

  • 1Department of Radiology, Shandong Provincial Hospital, Shandong Provincial Key Laboratory of Diagnosis and Treatment of Cardio-Cerebral Vascular Disease, Shandong University, #324, Jingwu Road, Jinan, 250021, Shandong, People's Republic of China.

Insights

Dynamic CT angiography (CTA) features can predict delayed adverse events (DAE) in uncomplicated type B acute aortic dissection (uTB-AAD). Smaller true lumen dimensions and larger aortic diameters indicate higher DAE risk, guiding early interventions.

Area of Science:

  • Cardiovascular Imaging
  • Thoracic Surgery
  • Medical Diagnostics

Background:

  • Uncomplicated type B acute aortic dissection (uTB-AAD) requires accurate risk stratification.
  • Delayed adverse events (DAE) in uTB-AAD can lead to poor outcomes.
  • Predictive markers for DAE in uTB-AAD are crucial for timely intervention.

Purpose of the Study:

  • To explore the association between dynamic morphological parameters from cardiac gating CT angiography (CTA) and DAE in uTB-AAD patients.
  • To identify specific CTA-derived metrics that predict DAE.
  • To evaluate the efficacy of dynamic CTA features over static imaging for DAE detection.

Main Methods:

  • Retrospective review of 87 uTB-AAD patients.
  • Analysis of dynamic CTA variables: minimum relative true lumen diameter (RTLAmin), ratio of minimum to maximum true lumen relative area (r-RTLA), descending aorta diameter, false lumen diameter, and primary entry tear size.
  • Outcome assessment included DAE and early mortality (3-14 days).

Main Results:

  • 29.9% of patients experienced DAE.
  • Smaller RTLAmin and r-RTLA (at upper thoracic descending aorta and renal artery levels) correlated with higher DAE incidence.
  • Larger descending aorta diameter, false lumen diameter, and entry tear size were associated with DAE.
  • r-RTLA at the upper thoracic descending aorta showed high diagnostic accuracy (82.0%) for DAE detection (AUC=0.839).
  • Dynamic CTA features outperformed static imaging in predicting DAE (P<0.001).

Conclusions:

  • Dynamic morphological parameters from cardiac gating CTA are valuable for identifying uTB-AAD patients at high risk for DAE.
  • These findings can inform early, targeted interventions to improve patient outcomes.
  • Dynamic CTA analysis offers superior predictive capability compared to single-phase imaging.
Abstract

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