Plaque imaging with CT coronary angiography: Effect of intra-vascular attenuation on plaque type classification.
| Autor: | Maffei E; Erica Maffei, Chiara Martini, Teresa Arcadi, Filippo Cademartiri, Cardiovascular Imaging Unit, Giovanni XXIII Hospital, 31050 Monastier di Treviso, Treviso, Italy., Martini C, Arcadi T, Clemente A, Seitun S, Zuccarelli A, Torri T, Mollet NR, Rossi A, Catalano O, Messalli G, Cademartiri F |
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| Jazyk: | angličtina |
| Zdroj: | World journal of radiology [World J Radiol] 2012 Jun 28; Vol. 4 (6), pp. 265-72. |
| DOI: | 10.4329/wjr.v4.i6.265 |
| Abstrakt: | Aim: To assess the attenuation of non-calcified atherosclerotic coronary artery plaques with computed tomography coronary angiography (CTCA). Methods: Four hundred consecutive patients underwent CTCA (Group 1: 200 patients, Sensation 64 Cardiac, Siemens; Group 2: 200 patients, VCT GE Healthcare, with either Iomeprol 400 or Iodixanol 320, respectively) for suspected coronary artery disease (CAD). CTCA was performed using standard protocols. Image quality (score 0-3), plaque (within the accessible non-calcified component of each non-calcified/mixed plaque) and coronary lumen attenuation were measured. Data were compared on a per-segment/per-plaque basis. Plaques were classified as fibrous vs lipid rich based on different attenuation thresholds. A P < 0.05 was considered significant. Results: In 468 atherosclerotic plaques in Group 1 and 644 in Group 2, average image quality was 2.96 ± 0.19 in Group 1 and 2.93 ± 0.25 in Group 2 (P ≥ 0.05). Coronary lumen attenuation was 367 ± 85 Hounsfield units (HU) in Group 1 and 327 ± 73 HU in Group 2 (P < 0.05); non-calcified plaque attenuation was 48 ± 23 HU in Group 1 and 39 ± 21 HU in Group 2 (P < 0.05). Overall signal to noise ratio was 15.6 ± 4.7 in Group 1 and 21.2 ± 7.7 in Group 2 (P < 0.01). Conclusion: Higher intra-vascular attenuation modifies significantly the attenuation of non-calcified coronary plaques. This results in a more difficult characterization between lipid rich vs fibrous type. |
| Databáze: | MEDLINE |
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