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Implications of coronary calcification on the assessment of plaque pathology: a comparison of computed tomography and multimodality intravascular imaging.
Yap, Nathan Angelo Lecaros; Ramasamy, Anantharaman; Tanboga, Ibrahim Halil; He, Xingwei; Cap, Murat; Bajaj, Retesh; Karaduman, Medeni; Jain, Ajay; Kitslaar, Pieter; Broersen, Alexander; Zhang, Xiaotong; Sokooti, Hessam; Reiber, Johan H C; Dijkstra, Jouke; Ozkor, Mick; Serruys, Patrick W; Moon, James C; Mathur, Anthony; Baumbach, Andreas; Torii, Ryo; Pugliese, Francesca; Bourantas, Christos V.
Afiliación
  • Yap NAL; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Ramasamy A; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Tanboga IH; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, London, UK.
  • He X; Department of Biostatistics and Cardiology, Nisantasi University Medical School, Istanbul, Turkey.
  • Cap M; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Bajaj R; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Karaduman M; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, London, UK.
  • Jain A; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Kitslaar P; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, London, UK.
  • Broersen A; Department of Cardiology, Yuzuncu Yil University, Van, Turkey.
  • Zhang X; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Sokooti H; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Reiber JHC; Medis Medical Imaging Systems, Leiden, The Netherlands.
  • Dijkstra J; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Ozkor M; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Serruys PW; Medis Medical Imaging Systems, Leiden, The Netherlands.
  • Moon JC; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Mathur A; Medis Medical Imaging Systems, Leiden, The Netherlands.
  • Baumbach A; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Torii R; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Pugliese F; Faculty of Medicine, National Heart & Lung Institute, Imperial College London, London, UK.
  • Bourantas CV; Department of Cardiology, National University of Ireland, Galway, Ireland.
Eur Radiol ; 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39172246
ABSTRACT

OBJECTIVES:

This study aimed to investigate the impact of calcific (Ca) on the efficacy of coronary computed coronary angiography (CTA) in evaluating plaque burden (PB) and composition with near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS) serving as the reference standard. MATERIALS AND

METHODS:

Sixty-four patients (186 vessels) were recruited and underwent CTA and 3-vessel NIRS-IVUS imaging (NCT03556644). Expert analysts matched and annotated NIRS-IVUS and CTA frames, identifying lumen and vessel wall borders. Tissue distribution was estimated using NIRS chemograms and the arc of Ca on IVUS, while in CTA Hounsfield unit cut-offs were utilized to establish plaque composition. Plaque distribution plots were compared at segment-, lesion-, and cross-sectional-levels.

RESULTS:

Segment- and lesion-level analysis showed no effect of Ca on the correlation of NIRS-IVUS and CTA estimations. However, at the cross-sectional level, Ca influenced the agreement between NIRS-IVUS and CTA for the lipid and Ca components (p-heterogeneity < 0.001). Proportional odds model analysis revealed that Ca had an impact on the per cent atheroma volume quantification on CTA compared to NIRS-IVUS at the segment level (p-interaction < 0.001). At lesion level, Ca affected differences between the modalities for maximum PB, remodelling index, and Ca burden (p-interaction < 0.001, 0.029, and 0.002, respectively). Cross-sectional-level modelling demonstrated Ca's effect on differences between modalities for all studied variables (p-interaction ≤ 0.002).

CONCLUSION:

Ca burden influences agreement between NIRS-IVUS and CTA at the cross-sectional level and causes discrepancies between the predictions for per cent atheroma volume at the segment level and maximum PB, remodelling index, and Ca burden at lesion-level analysis. CLINICAL RELEVANCE STATEMENT Coronary calcification affects the quantification of lumen and plaque dimensions and the characterization of plaque composition coronary CTA. This should be considered in the analysis and interpretation of CTAs performed in patients with extensive Ca burden. KEY POINTS Coronary CT Angiography is limited in assessing coronary plaques by resolution and blooming artefacts. Agreement between dual-source CT angiography and NIRS-IVUS is affected by a Ca burden for the per cent atheroma volume. Advanced CT imaging systems that eliminate blooming artefacts enable more accurate quantification of coronary artery disease and characterisation of plaque morphology.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Alemania