Korean Journal of Radiology

  • 제22권5호
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  • Pages.688-698
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  • 2021
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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Coronary Artery Lumen Segmentation Using Location-Adaptive Threshold in Coronary Computed Tomographic Angiography: A Proof-of-Concept

  • Cheong-Il Shin (Department of Radiology, Seoul National University Hospital) ;
  • Sang Joon Park (Department of Radiology, Seoul National University Hospital) ;
  • Ji-Hyun Kim (Division of Cardiology, Department of Internal Medicine, Dongguk University Ilsan Hospital) ;
  • Yeonyee Elizabeth Yoon (Department of Cardiology and Cardiovascular Center, Seoul National University Bundang Hospital) ;
  • Eun-Ah Park (Department of Radiology, Seoul National University Hospital) ;
  • Bon-Kwon Koo (Department of Internal Medicine, Seoul National University College of Medicine) ;
  • Whal Lee (Department of Radiology, Seoul National University Hospital)
  • 투고 : 2020.03.16
  • 심사 : 2020.08.05
  • 발행 : 2021.05.01
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초록

Objective: To compare the lumen parameters measured by the location-adaptive threshold method (LATM), in which the inter- and intra-scan attenuation variabilities of coronary computed tomographic angiography (CCTA) were corrected, and the scan-adaptive threshold method (SATM), in which only the inter-scan variability was corrected, with the reference standard measurement by intravascular ultrasonography (IVUS). Materials and Methods: The Hounsfield unit (HU) values of whole voxels and the centerline in each of the cross-sections of the 22 target coronary artery segments were obtained from 15 patients between March 2009 and June 2010, in addition to the corresponding voxel size. Lumen volume was calculated mathematically as the voxel volume multiplied by the number of voxels with HU within a given range, defined as the lumen for each method, and compared with the IVUS-derived reference standard. Subgroup analysis of the lumen area was performed to investigate the effect of lumen size on the studied methods. Bland-Altman plots were used to evaluate the agreement between the measurements. Results: Lumen volumes measured by SATM was significantly smaller than that measured by IVUS (mean difference, 14.6 mm3; 95% confidence interval [CI], 4.9-24.3 mm3); the lumen volumes measured by LATM and IVUS were not significantly different (mean difference, -0.7 mm3; 95% CI, -9.1-7.7 mm3). The lumen area measured by SATM was significantly smaller than that measured by LATM in the smaller lumen area group (mean of difference, 1.07 mm2; 95% CI, 0.89-1.25 mm2) but not in the larger lumen area group (mean of difference, -0.07 mm2; 95% CI, -0.22-0.08 mm2). In the smaller lumen group, the mean difference was lower in the Bland-Altman plot of IVUS and LATM (0.46 mm2; 95% CI, 0.27-0.65 mm2) than in that of IVUS and SATM (1.53 mm2; 95% CI, 1.27-1.79 mm2). Conclusion: SATM underestimated the lumen parameters for computed lumen segmentation in CCTA, and this may be overcome by using LATM.

키워드

과제정보

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number : HI20C2092).

참고문헌

  1. Voros S, Rinehart S, Qian Z, Vazquez G, Anderson H, Murrieta L, et al. Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound as reference standard in intermediate coronary arterial lesions: results from the ATLANTA (assessment of tissue characteristics, lesion morphology, and hemodynamics by angiography with fractional flow reserve, intravascular ultrasound and virtual histology, and noninvasive computed tomography in atherosclerotic plaques) I study. JACC Cardiovasc Interv 2011;4:198-208 
  2. Sun J, Zhang Z, Lu B, Yu W, Yang Y, Zhou Y, et al. Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound. AJR Am J Roentgenol 2008;190:748-754 
  3. Boogers MJ, Broersen A, van Velzen JE, de Graaf FR, El-Naggar HM, Kitslaar PH, et al. Automated quantification of coronary plaque with computed tomography: comparison with intravascular ultrasound using a dedicated registration algorithm for fusion-based quantification. Eur Heart J 2012;33:1007-1016 
  4. Dey D, Schepis T, Marwan M, Slomka PJ, Berman DS, Achenbach S. Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US. Radiology 2010;257:516-522 
  5. Park EA, Lee W, Park SJ, Kim YK, Hwang HY. Influence of coronary artery diameter on intracoronary transluminal attenuation gradient during CT angiography. JACC Cardiovasc Imaging 2016;9:1074-1083 
  6. Abbara S, Arbab-Zadeh A, Callister TQ, Desai MY, Mamuya W, Thomson L, et al. SCCT guidelines for performance of coronary computed tomographic angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr 2009;3:190-204 
  7. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res 1999;8:135-160 
  8. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979;86:420-428 
  9. Feuchtner G, Loureiro R, Bezerra H, Rocha-Filho JA, Sarwar A, Pflederer T, et al. Quantification of coronary stenosis by dual source computed tomography in patients: a comparative study with intravascular ultrasound and invasive angiography. Eur J Radiol 2012;81:83-88 
  10. Sun Z, Xu L. Coronary CT angiography in the quantitative assessment of coronary plaques. Biomed Res Int 2014;2014:346380 
  11. Akutagawa O, Kijima Y, Kume K, Sakai T, Okura A, Ide K, et al. Feasibility and limitation of coronary plaque volumetry by contrast-enhanced 64-row multi-detector computed tomography. Int J Cardiol 2011;150:118-120