Advertisement

Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance

  • Yuki Tanabe
  • Teruhito Kido
  • Akira Kurata
  • Naoki Fukuyama
  • Takahiro Yokoi
  • Tomoyuki Kido
  • Teruyoshi Uetani
  • Mani Vembar
  • Amar Dhanantwari
  • Shinichi Tokuyasu
  • Natsumi Yamashita
  • Teruhito Mochizuki
Original Paper

Abstract

We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadolinium enhancement magnetic resonance imaging (LGE-MRI). The study investigated 35 patients who underwent a comprehensive cardiac CT protocol and LGE-MRI for the assessment of coronary artery disease. The CT protocol consisted of stress dynamic myocardial CT perfusion, coronary CT angiography (CTA) and LIE-CT using 256-slice CT. LIE-CT scans were acquired 5 min after CTA without additional contrast medium and reconstructed with filtered back projection (FBP), a hybrid iterative reconstruction (HIR), and IMR. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed. Sensitivity and specificity of LIE-CT for detecting MI were assessed according to the 16-segment model. Image quality scores, and diagnostic performance were compared among LIE-CT with FBP, HIR and IMR. Among the 35 patients, 139 of 560 segments showed MI in LGE-MRI. On LIE-CT with FBP, HIR, and IMR, the median SNRs were 2.1, 2.9, and 6.1; and the median CNRs were 1.7, 2.2, and 4.7, respectively. Sensitivity and specificity were 56 and 93% for FBP, 62 and 91% for HIR, and 80 and 91% for IMR. LIE-CT with IMR showed the highest image quality and sensitivity (p < 0.05). The use of IMR enables significant improvement of image quality and diagnostic performance of LIE-CT for detecting MI in comparison with FBP and HIR.

Keywords

Computed tomography Myocardial infarction Late iodine enhancement Iterative reconstruction Late gadolinium enhancement 

Notes

Compliance with ethical standards

Conflict of interest

Mani Vembar is an employee of Philips Healthcare. Amar Dhanantwari is an employee of Philips Healthcare. Shinichi Tokuyasu is an employee of Philips Electronics Japan. All the other authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.

Informed consent

Informed consent was obtained from all individual participants included in the study.

References

  1. 1.
    Cheong BY, Muthupillai R, Wilson JM, Sung A, Huber S, Amin S, Elayda MA, Lee VV, Flamm SD (2009) Prognostic significance of delayed-enhancement magnetic resonance imaging: survival of 857 patients with and without left ventricular dysfunction. Circulation 120:2069–2076CrossRefPubMedGoogle Scholar
  2. 2.
    Kim RJ, Wu E, Rafael A, Chen EL, Parker MA, Simonetti O, Klocke FJ, Bonow RO, Judd RM (2000) The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med 343:1445–1453CrossRefPubMedGoogle Scholar
  3. 3.
    Lardo AC, Cordeiro MA, Silva C, Amado LC, George RT, Saliaris AP, Schuleri KH, Fernandes VR, Zviman M, Nazarian S, Halperin HR, Wu KC, Hare JM, Lima JA (2006) Contrast-enhanced multidetector computed tomography viability imaging after myocardial infarction: characterization of myocyte death, microvascular obstruction, and chronic scar. Circulation 113:394–404CrossRefPubMedPubMedCentralGoogle Scholar
  4. 4.
    Choe YH, Choo KS, Jeon ES, Gwon HC, Choi JH, Park JE (2008) Comparison of MDCT and MRI in the detection and sizing of acute and chronic myocardial infarcts. Eur J Radiol 66:292–299CrossRefPubMedGoogle Scholar
  5. 5.
    Goetti R, Feuchtner G, Stolzmann P, Donati OF, Wieser M, Plass A, Frauenfelder T, Leschka S, Alkadhi H (2011) Delayed enhancement imaging of myocardial viability: low-dose high-pitch CT versus MRI. Eur Radiol 21:2091–2099CrossRefPubMedGoogle Scholar
  6. 6.
    Matsuda T, Kido T, Itoh T, Saeki H, Shigemi S, Watanabe K, Kido T, Aono S, Yamamoto M, Matsuda T, Mochizuki T (2015) Diagnostic accuracy of late iodine enhancement on cardiac computed tomography with a denoise filter for the evaluation of myocardial infarction. Int J Cardiovasc Imaging 31:177–185CrossRefPubMedGoogle Scholar
  7. 7.
    Kurata A, Kawaguchi N, Kido T, Inoue K, Suzuki J, Ogimoto A, Funada J, Higaki J, Miyagawa M, Vembar M, Mochizuki T (2013) Qualitative and quantitative assessment of adenosine triphosphate stress whole-heart dynamic myocardial perfusion imaging using 256-slice computed tomography. PLoS ONE 8:e83950CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    Kurobe Y, Kitagawa K, Ito T, Kurita Y, Shiraishi Y, Nakamori S, Nakajima H, Nagata M, Ishida M, Dohi K, Ito M, Sakuma H (2014) Myocardial delayed enhancement with dual-source CT: advantages of targeted spatial frequency filtration and image averaging over half-scan reconstruction. J Cardiovasc Comput Tomogr 8:289–298CrossRefPubMedGoogle Scholar
  9. 9.
    Brodoefel H, Klumpp B, Reimann A, Ohmer M, Fenchel M, Schroeder S, Miller S, Claussen C, Kopp AF, Scheule AM (2007) Late myocardial enhancement assessed by 64-MSCT in reperfused porcine myocardial infarction: diagnostic accuracy of low-dose CT protocols in comparison with magnetic resonance imaging. Eur Radiol 17:475–483CrossRefPubMedGoogle Scholar
  10. 10.
    Marin D, Nelson RC, Barnhart H, Schindera ST, Ho LM, Jaffe TA, Yoshizumi TT, Youngblood R, Samei E (2010) Detection of pancreatic tumors, image quality, and radiation dose during the pancreatic parenchymal phase: effect of a low-tube-voltage, high-tube-current CT technique–preliminary results. Radiology 256(2):450–459CrossRefPubMedGoogle Scholar
  11. 11.
    Nieman K, Shapiro MD, Ferencik M, Nomura CH, Abbara S, Hoffmann U, Gold HK, Jang IK, Brady TJ, Cury RC (2008) Reperfused myocardial infarction: contrast-enhanced 64-Section CT in comparison to MR imaging. Radiology 247:49–56CrossRefPubMedGoogle Scholar
  12. 12.
    Deseive S, Bauer RW, Lehmann R, Kettner M, Kaiser C, Korkusuz H, Tandi C, Theisen A, Schächinger V, Schoepf UJ, Vogl TJ, Kerl JM (2011) Dual-energy computed tomography for the detection of late enhancement in reperfused chronic infarction: a comparison to magnetic resonance imaging and histopathology in a porcine model. Invest Radiol 46:450–456CrossRefPubMedGoogle Scholar
  13. 13.
    Silva AC, Lawder HJ, Hara A, Kujak J, Pavlicek W (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–199CrossRefPubMedGoogle Scholar
  14. 14.
    Gramer BM, Muenzel D, Leber V, von Thaden AK, Feussner H, Schneider A, Vembar M, Soni N, Rummeny EJ, Huber AM (2012) Impact of iterative reconstruction on CNR and SNR in dynamic myocardial perfusion imaging in an animal model. Eur Radiol 22:2654–2661CrossRefPubMedGoogle Scholar
  15. 15.
    Oda S, Utsunomiya D, Funama Y, Katahira K, Honda K, Tokuyasu S, Vembar M, Yuki H, Noda K, Oshima S, Yamashita Y (2014) A knowledge-based iterative model reconstruction algorithm: can super-low-dose cardiac CT be applicable in clinical settings? Acad Radiol 21:104–110CrossRefPubMedGoogle Scholar
  16. 16.
    Yuki H, Utsunomiya D, Funama Y, Tokuyasu S, Namimoto T, Hirai T, Itatani R, Katahira K, Oshima S, Yamashita Y (2014) Value of knowledge-based iterative model reconstruction in low-kV 256-slice coronary CT angiography. J Cardiovasc Comput Tomogr 8:115–123CrossRefPubMedGoogle Scholar
  17. 17.
    Kido T, Kido T, Nakamura M, Kawaguchi N, Nishiyama Y, Ogimoto A, Miyagawa M, Mochizuki T (2014) Three-dimensional phase-sensitive inversion recovery sequencing in the evaluation of left ventricular myocardial scars in ischemic and non-ischemic cardiomyopathy: comparison to three-dimensional inversion recovery sequencing. Eur J Radiol 83(12):2159–2166CrossRefPubMedGoogle Scholar
  18. 18.
    Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 105:539–542CrossRefPubMedGoogle Scholar
  19. 19.
    Kawaguchi N, Kurata A, Kido T, Nishiyama Y, Kido T, Miyagawa M, Ogimoto A, Mochizuki T (2014) Optimization of coronary attenuation in coronary computed tomography angiography using diluted contrast material. Circ J 78:662–670CrossRefPubMedGoogle Scholar
  20. 20.
    Sternberg MR, Hadgu A (2001) A GEE approach to estimating sensitivity and specificity and coverage properties of the confidence intervals. Stat Med 20:1529–1539CrossRefPubMedGoogle Scholar
  21. 21.
    Gerber BL, Belge B, Legros GJ, Lim P, Poncelet A, Pasquet A, Gisellu G, Coche E, Vanoverschelde JL (2006) Characterization of acute and chronic myocardial infarcts by multidetector computed tomography: comparison with contrast-enhanced magnetic resonance. Circulation 113:823–833CrossRefPubMedGoogle Scholar
  22. 22.
    Oda S, Utsunomiya D, Funama Y, Awai K, Katahira K, Nakaura T, Yanaga Y, Namimoto T, Yamashita Y (2011) A low tube voltage technique reduces the radiation dose at retrospective ECG-gated cardiac computed tomography for anatomical and functional analyses. Acad Radiol 18:991–999CrossRefPubMedGoogle Scholar
  23. 23.
    Wichmann JL, Arbaciauskaite R, Kerl JM, Frellesen C, Bodelle B, Lehnert T, Monsefi N, Vogl TJ, Bauer RW (2014) Evaluation of monoenergetic late iodine enhancement dual-energy computed tomography for imaging of chronic myocardial infarction. Eur Radiol 24:1211–1218CrossRefPubMedGoogle Scholar
  24. 24.
    Langer C, Both M, Harders H, Lutz M, Eden M, Kühl C, Sattler B, Jansen O, Schaefer P, Frey N (2015) Late enhanced computed tomography in hypertrophic cardiomyopathy enables accurate left-ventricular volumetry. Eur Radiol 25:575–584CrossRefPubMedGoogle Scholar
  25. 25.
    Rodríguez-Palomares JF, Ortiz-Pérez JT, Lee DC, Bucciarelli-Ducci C, Tejedor P, Bonow RO, Wu E (2015) Time elapsed after contrast injection is crucial to determine infarct transmurality and myocardial functional recovery after an acute myocardial infarction. J Cardiovasc Magn Reson 17:43CrossRefPubMedPubMedCentralGoogle Scholar
  26. 26.
    Nakaura T, Nakamura S, Maruyama N, Funama Y, Awai K, Harada K, Uemura S, Yamashita Y (2012) Low contrast agent and radiation dose protocol for hepatic dynamic CT of thin adults at 256-detector row CT: effect of low tube voltage and hybrid iterative reconstruction algorithm on image quality. Radiology 264:445–454CrossRefPubMedGoogle Scholar
  27. 27.
    Ryu YJ, Choi YH, Cheon JE, Ha S, Kim WS, Kim IO (2016) Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom. Pediatr Radiol 46:303–315CrossRefPubMedGoogle Scholar
  28. 28.
    Oda S, Weissman G, Vembar M, Weigold WG (2014) Iterative model reconstruction: improved image quality of low-tube-voltage prospective ECG-gated coronary CT angiography images at 256-slice CT. Eur J Radiol 83:1408–1415CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • Yuki Tanabe
    • 1
  • Teruhito Kido
    • 1
  • Akira Kurata
    • 1
  • Naoki Fukuyama
    • 1
  • Takahiro Yokoi
    • 1
  • Tomoyuki Kido
    • 1
  • Teruyoshi Uetani
    • 1
  • Mani Vembar
    • 2
  • Amar Dhanantwari
    • 2
  • Shinichi Tokuyasu
    • 3
  • Natsumi Yamashita
    • 4
  • Teruhito Mochizuki
    • 1
  1. 1.Department of RadiologyEhime University Graduate School of MedicineToonJapan
  2. 2.CT Clinical SciencePhilips HealthcareClevelandUSA
  3. 3.CT Clinical ScientistPhilips Electronics JapanTokyoJapan
  4. 4.Department of Clinical Biostatistics, Section of Cancer Prevention and Epidemiology, Clinical Research CenterNational Hospital Organization Shikoku Cancer CenterMatsuyamaJapan

Personalised recommendations