Regional calcified plaque score evaluated by multidetector computed tomography for predicting the addition of

Teruo Sekimoto1, Yasushi Akutsu2, Yuji Hamazaki1

  • 1Division of Cardiology, Department of Medicine, Showa University School of Medicine, Japan.

Insights

A high coronary artery calcium score from multidetector computed tomography (MDCT) can predict the need for rotational atherectomy (rotablation) during percutaneous coronary intervention (PCI). This helps in planning complex PCI procedures for calcified lesions.

Area of Science:

  • Cardiovascular Imaging
  • Interventional Cardiology
  • Medical Diagnostics

Background:

  • Rotational atherectomy (rotablation) is a technique used in percutaneous coronary intervention (PCI) for complex and calcified coronary lesions.
  • Predicting the need for rotablation is crucial for optimizing PCI outcomes.

Purpose of the Study:

  • To evaluate the utility of per-lesion coronary artery calcium score from multidetector computed tomography (MDCT) in predicting the requirement for rotablation during PCI.
  • To establish MDCT-derived calcium scoring as a predictive tool for rotablation necessity.

Main Methods:

  • Retrospective analysis of MDCT and quantitative coronary angiography (QCA) data in 116 patients undergoing first PCI for stable angina.
  • Evaluation of 168 target lesions to correlate MDCT calcium scores and lesion characteristics with rotablation use.

Main Results:

  • Patients requiring rotablation had significantly higher SYNTAX and total calcium scores.
  • Per-lesion MDCT parameters, including calcium score (≥453) and calcification arc (≥270), predicted rotablation.
  • A high per-lesion calcium score was an independent predictor of rotablation (OR 31.3, 95% CI 2.8-345), with 93% sensitivity and 88% specificity.

Conclusions:

  • MDCT-derived extent of target lesion calcification is a valuable predictor of rotablation need during PCI.
  • This simple marker of calcified plaque aids in procedural planning for complex coronary interventions.
Abstract

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