Skip to main navigation menu Skip to main content Skip to site footer

Myocardial dyssynchrony in patients undergoing Myocardial dyssynchrony in patients undergoing gated SPECT and phase analysis gated SPECT and phase analysis

Disincronía miocárdica en pacientes sometidos a estudio de Spect gatillado y análisis de fase




Section
Research Article

How to Cite
Cadavid Blanco, L. . ., Arriaza-Madrid, J. R. ., & Rosales-Morales, A. J. . (2023). Myocardial dyssynchrony in patients undergoing Myocardial dyssynchrony in patients undergoing gated SPECT and phase analysis gated SPECT and phase analysis. Journal of Medicine and Surgery Repertoire, 32(2), 156-167. https://doi.org/10.31260/RepertMedCir.01217372.1271

Dimensions
PlumX
license

   

Leonardo Cadavid Blanco
    José R. Arriaza-Madrid
      Adriana J. Rosales-Morales

        Leonardo Cadavid Blanco,

        Jefe del Servicio de Medicina Nuclear Hospital de San José. Profesor Titular. Fundación Universitaria de Ciencias de la Salud. Bogotá DC, Colombia.


        José R. Arriaza-Madrid,

        Residente Medicina Nuclear, Fundación Universitaria de Ciencias de la Salud.


        Adriana J. Rosales-Morales,

        Residente Medicina Nuclear, Fundación Universitaria de Ciencias de la Salud.


        Introduction: Myocardial perfusion gated SPECT (simple photon emission computed tomography) with phase analysis allows the assessment of mechanical dyssynchrony and ejection fraction, for prediction of response to cardiac resynchronization therapy. Objective: to describe myocardial dyssynchrony frequency and its relationship with SPECT results at Hospital de San José de Bogotá between May 2018 and February 2019. Methodology: cross-sectional study in patients aged over 18 years, with a less than 6 months electrocardiogram and gated SPECT. Sociodemographic data, cardiovascular history, electrocardiogram parameters and SPECT results were evaluated using descriptive statistics and multiple correspondence analysis. Results: five-hundred-thirty-nine patients with a mean age of 68 years were included, 59.8% had overweight and obesity, 47.7% were NYHA (New York Heart Association) functional class III and IV, 48.4% smokers and 26.9% diabetics; 48.1% received cardiac catheterization and 45.3% had history of acute myocardial infarction; left ventricular ejection fraction was < 50% in 31%. Dyssynchrony was determined with a >135° bandwidth; dyssynchrony was evidenced in 202 patients (37.5%) and was related to male gender, overweight, diabetes, smoking, acute myocardial infarction, stent placement, left ventricular ejection fraction <40% or 40%-50% and transient ischemic dilation (TID) >1.22 or 1.12-1.22. Discussion and conclusions:the new nuclear medicine phase analysis tool is feasible and useful to identify cardiac resynchronization therapy responders.


        Article visits 330 | PDF visits 285


        Downloads

        Download data is not yet available.
        1. Orso F, Fabbri G, Pietro Maggioni A. Epidemiology of Heart Failure. Handb Exp Pharmacol. 2017;243:15-33. doi: 10.1007/164_2016_74
        2. Angelidis G, Giamouzis G, Karagiannis G, Butler J, Tsougos I, et al. SPECT and PET in ischemic heart failure. Heart Fail Rev. 2017;22(2):243-261. doi: 10.1007/s10741-017-9594-7
        3. Murphy SP, Ibrahim NE, James L. Januzzi Jr JL. Heart FailureWith Reduced Ejection Fraction: A review. JAMA. 2020;324(5):488-504. doi: 10.1001/jama.2020.10262
        4. Tian Y, Zhao M, Li W, Zhu Z, Mi H, Li X, Zhang X. Left ventricular mechanical dyssynchrony analzyed by Tc-99m sestamibi SPECT and F-18 FDG PET in patients with ischemic cardiomyopathy and the prognostic value. Int J Cardiovasc Imaging. 2020;36(10):2063-2071. doi: 10.1007/s10554-020-01904-7
        5. Juarez-Orozco LE, Monroy-Gonzalez A, J Prakken NH, Noordzij W, et al. Phase analysis of gated PET in the evaluation of mechanical ventricular synchrony: A narrative overview. J Nucl Cardiol. 2019;26(6):1904-1913. doi: 10.1007/s12350-019-01670-7
        6. Wiefels Reis CC, do Nascimento EA, Ribeiro Dias FB, Ribeiro ML, Bispo Wanderley AP, Batista LA, Peixoto Nunes TH, Tinoco Mesquita C. Applicability of Myocardial Perfusion Scintigraphy in the Evaluation of Cardiac Synchronization. Arq Bras Cardiol - Imagem Cardiovasc. 2017;30(2):54-63. doi: 10.5935/2318-8219.20170013
        7. Marín-Oyaga V, Gutiérrez-Villamil C, Dueñas-Criado K, Arévalo-Leal S. Phase analysis for the assessment of left ventricular dyssynchrony by Gated Myocardial Perfusion SPECT. Importance of clinical and technical parameters.. Rev Fac Med. 2017; 65(3):453–9. http://dx.doi.org/10.15446/revfacmed.v65n3.59488
        8. Ojo A, Tariq S, Harikrishnan P, Iwai SJacobson JT. Cardiac Resynchronization Therapy for Heart Failure.. Interv Cardiol Clin. 2017;6(3):417-426. doi: 10.1016/j.iccl.2017.03.010
        9. Katbeh A, Van Camp G, Barbato E, Galderisi M, Trimarco B, Bartunek J, et al Cardiac Resynchronization Therapy Optimization: A Comprehensive Approach. Cardiology. 2019;142(2):116-128. doi: 10.1159/000499192
        10. Thomas G, Kim J, Lerman BB. Improving Cardiac Resynchronisation Therapy. Arrhythm Electrophysiol Rev. 2019;8(3):220-227. doi: 10.15420/aer.2018.62.3
        11. Waddingham PH, Lambiase P, Muthumala A, Rowland E, Wc Chow A. Fusion Pacing with Biventricular, Left Ventricular-only and Multipoint Pacing in Cardiac Resynchronisation Therapy: Latest Evidence and Strategies for Use. Arrhythm Electrophysiol Rev. 2021;10(2):91-100. doi: 10.15420/aer.2020.49
        12. Mele D, Trevisan F, Fiorencis A, Smarrazzo V, Bertini M Ferrari R. Current Role of Echocardiography in Cardiac Resynchronization Therapy: from Cardiac Mechanics to Flow Dynamics Analysis. Curr Heart Fail Rep. 2020;17(6):384-396. doi: 10.1007/s11897-020-00484-w
        13. Piekarski E, Manrique A, Rouzet F, Le Guludec D. Current Status of Myocardial Perfusion Imaging With New SPECT/CT Cameras. Semin Nucl Med. 2020;50(3):219-226. doi: 10.1053/j.semnuclmed.2020.02.009
        14. Czaja-Ziółkowska MZ, Wasilewski JP, Głowacki J, Wygoda Z, Gąsior M. Useful assessment of myocardial viability and dyssynchrony from gated perfusion scintigraphy for better qualification for resynchronization therapy. Part 3. Kardiochir Torakochirurgia Pol. 2020;17(3):155-159. doi: 10.5114/kitp.2020.99080
        15. Obeng-Gyimah E, Nazarian S. Cardiac Magnetic Resonance as a Tool to Assess Dyssynchrony. Card Electrophysiol Clin. 2019;11(1):49-53. doi: 10.1016/j.ccep.2018.11.007
        16. Mele D, Luisi JA, Malagù M, Laterza A, Ferrari R, Bertini M. Echocardiographic evaluation of cardiac dyssynchrony: Does it still matter?. Echocardiography. 2018;35(5):707-715. doi: 10.1111/echo.13902
        17. Nakajima K, Okuda K, Matsuo S, Kiso K, Kinuya S, Garcia EV. Comparison of phase dyssynchrony analysis using gated myocardial perfusion imaging with four software programs: Based on the Japanese Society of Nuclear Medicine working group normal database. J Nucl Cardiol. 2017;24(2):611-621. doi: 10.1007/s12350-015-0333-y
        18. Noordzij W, Slart RH. Clinical value of quantitative measurements derived from GATED SPECT: motion and thickening, volumes and related LVEF. Q J Nucl Med Mol Imaging. 2018;62(3):321-324. doi: 10.23736/S1824-4785.16.02868-X
        19. Tao N, Qiu Y, Tang H, Qian Z, Wu H, Zhu R, Wang Y, et al. Assessment of left ventricular contraction patterns using gated SPECT MPI to predict cardiac resynchronization therapy response. J Nucl Cardiol. 2018;25(6):2029-2038. doi: 10.1007/s12350-017-0949-1
        20. Valzania C, Bonfiglioli R, Fallani F, Martignani C, Ziacchi M, Diemberger I, et al. Single-photon cardiac imaging in patients with cardiac implantable electrical devices. J Nucl Cardiol. 2020;29(2):633-641. doi: 10.1007/s12350-020-02436-2
        21. de Souza Filho EM, Tinoco Mesquita C, Altenburg Gismondi R, de Amorim Fernandes F, Jan Verberne H. Are there normal values of phase analysis parameters for left ventricular dyssynchrony in patients with no structural cardiomyopathy?: a systematic review. Nucl Med Commun. 2019;40(10):980-985. doi: 10.1097/MNM.0000000000001068
        22. Bishara AJ, Li J, Conley C. Informal versus formal judgment of statistical models: The case of normality assumptions. Psychon Bull Rev. 2021;28(4):1164-1182. doi: 10.3758/s13423-021-01879-z
        23. Soares Costa P, Correia Santos N, Cunha P, Cotter J, Sousa N. The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing. J Aging Res. 2013;2013:302163. doi: 10.1155/2013/302163
        24. Wellek S, Lackner KJ, Jennen-Steinmetz C, Reinhard I, Hoffmann I, Blettner M. Determination of reference limits: statistical concepts and tools for sample size calculation. Clin Chem Lab Med. 2014;52(12):1685-1694. doi: 10.1515/cclm-2014-0226
        25. Liu W, Bretz F, Cortina-Borja M. Reference range: Which statistical intervals to use?. Stat Methods Med Res. 2021;30(2):523-534. doi: 10.1177/0962280220961793
        26. Intervals DFR. 2014;( [cite on 13 Feb 2018]).
        27. Romero-Farina G, Aguadé-Bruix S, Candell-Riera J, Pizzi MN, García-Dorado D. Cut-off values of myocardial perfusion gated-SPECT phase analysis parameters of normal subjects, and conduction and mechanical cardiac diseases. J Nucl Cardiol. 2015;22(6):1247-58. doi: 10.1007/s12350-015-0143-2
        28. Nguyên UC, Verzaal NJ, van Nieuwenhoven FA, Vernooy K, Prinzen FW. Pathobiology of cardiac dyssynchrony and resynchronization therapy. Europace. 2018;20(12):1898-1909. doi: 10.1093/europace/euy03
        Sistema OJS 3.4.0.5 - Metabiblioteca |