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Predictive performance of the perivascular adipose tissue for endovascular recanalization of chronic carotid artery occlusion

  • 0Department of Interventional Neuroradiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
European Journal of Radiology +

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August 9, 2025

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August 9, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Pericarotid fat (PCF) density is a novel imaging biomarker predicting successful endovascular recanalization for chronic internal carotid artery occlusion (CICAO). A nomogram combining PCF density and anatomical features improves candidate selection for this procedure.

Area Of Science

  • Radiology
  • Interventional Neurology
  • Vascular Surgery

Background

  • Chronic internal carotid artery occlusion (CICAO) presents a significant challenge for endovascular recanalization.
  • Identifying predictors of successful recanalization is crucial for patient selection and procedural planning.

Purpose Of The Study

  • To investigate the association between pericarotid fat (PCF) density and the success of endovascular recanalization in CICAO.
  • To develop and validate a scoring system (nomogram) for predicting recanalization feasibility.

Main Methods

  • Retrospective analysis of 66 patients with CICAO undergoing endovascular recanalization.
  • Assessment of clinical data, PCF density, digital subtraction angiography (DSA) characteristics, and procedural outcomes.
  • Development and validation of a nomogram incorporating PCF density and conventional factors.

Main Results

  • Successful recanalization was achieved in 62.1% of cases.
  • Higher PCF density was significantly associated with successful recanalization (p < 0.001).
  • A combined model including PCF density and anatomical features demonstrated superior predictive performance (AUC: 0.960) compared to conventional factors alone (AUC: 0.854).

Conclusions

  • PCF density emerges as a novel imaging biomarker for predicting successful endovascular recanalization in CICAO.
  • The developed nomogram, integrating PCF density and anatomical features, offers enhanced clinical value for screening suitable candidates.
  • This approach can optimize patient selection for recanalization therapy in CICAO.

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