Literature DB >> 22203445

Automated quantitative Rb-82 3D PET/CT myocardial perfusion imaging: normal limits and correlation with invasive coronary angiography.

Ryo Nakazato1, Daniel S Berman, Damini Dey, Ludovic Le Meunier, Sean W Hayes, Jimmy S Fermin, Victor Y Cheng, Louise E J Thomson, John D Friedman, Guido Germano, Piotr J Slomka.   

Abstract

BACKGROUND: We aimed to characterize normal limits and to determine the diagnostic accuracy for an automated quantification of 3D 82-Rubidium (Rb-82) PET/CT myocardial perfusion imaging (MPI).
METHODS: We studied 125 consecutive patients undergoing Rb-82 PET/CT MPI, including patients with suspected coronary artery disease (CAD) and invasive coronary angiography, and 42 patients with a low likelihood (LLk) of CAD. Normal limits for perfusion and function were derived from LLk patients. QPET software was used to quantify perfusion abnormality at rest and stress expressed as total perfusion deficit (TPD).
RESULTS: Relative perfusion databases did not differ in any of the 17 segments between males and females. The areas under the receiver operating characteristic curve for detection of CAD were 0.86 for identification of ≥50% and ≥70% stenosis. The sensitivity/specificity was 86%/86% for detecting ≥50% stenosis and 93%/77% for ≥70% stenosis, respectively. In regard to normal limits, mean rest and stress left ventricular ejection fraction (LVEF) were 67% ± 10% and 75% ± 9%, respectively. Mean transient ischemic dilation ratio was 1.06 ± 0.14 and mean increase in LVEF with stress was 7.4% ± 6.1% (95th percentile of 0%).
CONCLUSION: Normal limits have been established for 3D Rb-82 PET/CT analysis with QPET software. Fully automated quantification of myocardial perfusion PET data shows high diagnostic accuracy for detecting obstructive CAD.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22203445      PMCID: PMC3383786          DOI: 10.1007/s12350-011-9496-3

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  32 in total

Review 1.  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.

Authors:  Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Warren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani
Journal:  Circulation       Date:  2002-01-29       Impact factor: 29.690

Review 2.  PET instrumentation and reconstruction algorithms in whole-body applications.

Authors:  Gabriele Tarantola; Felicia Zito; Paolo Gerundini
Journal:  J Nucl Med       Date:  2003-05       Impact factor: 10.057

3.  Comparison of 2-dimensional and 3-dimensional 82Rb myocardial perfusion PET imaging.

Authors:  Karin Knesaurek; Josef Machac; Borys R Krynyckyi; Orlandino D Almeida
Journal:  J Nucl Med       Date:  2003-08       Impact factor: 10.057

4.  Performance characteristics of a newly developed PET/CT scanner using NEMA standards in 2D and 3D modes.

Authors:  Osama Mawlawi; Donald A Podoloff; Steve Kohlmyer; John J Williams; Charles W Stearns; Randall F Culp; Homer Macapinlac
Journal:  J Nucl Med       Date:  2004-10       Impact factor: 10.057

5.  Adenosine myocardial perfusion single-photon emission computed tomography in women compared with men. Impact of diabetes mellitus on incremental prognostic value and effect on patient management.

Authors:  Daniel S Berman; Xingping Kang; Sean W Hayes; John D Friedman; Ishac Cohen; Aiden Abidov; Leslee J Shaw; Aman M Amanullah; Guido Germano; Rory Hachamovitch
Journal:  J Am Coll Cardiol       Date:  2003-04-02       Impact factor: 24.094

6.  Comparison of 2-dimensional and 3-dimensional cardiac 82Rb PET studies.

Authors:  J R Votaw; M White
Journal:  J Nucl Med       Date:  2001-05       Impact factor: 10.057

7.  Automatic and visual reproducibility of perfusion and function measures for myocardial perfusion SPECT.

Authors:  Yuan Xu; Sean Hayes; Iftikhar Ali; Terrence D Ruddy; R Glenn Wells; Daniel S Berman; Guido Germano; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2010-10-21       Impact factor: 5.952

8.  Quantitative Tc-99m sestamibi attenuation-corrected SPECT: development and multicenter trial validation of myocardial perfusion stress gender-independent normal database in an obese population.

Authors:  Gabriel B Grossman; Ernest V Garcia; Timothy M Bateman; Gary V Heller; Lynne L Johnson; Russell D Folks; S James Cullom; James R Galt; James A Case; Cesar A Santana; Raghuveer K Halkar
Journal:  J Nucl Cardiol       Date:  2004 May-Jun       Impact factor: 5.952

9.  Automatic quantification of myocardial perfusion stress-rest change: a new measure of ischemia.

Authors:  Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Xingping Kang; John D Friedman; Sean W Hayes; Usaf E Aladl; Guido Germano
Journal:  J Nucl Med       Date:  2004-02       Impact factor: 10.057

10.  Potential utility of rubidium 82 PET quantification in patients with 3-vessel coronary artery disease.

Authors:  R Parkash; R A deKemp; T D Ruddy; A Kitsikis; R Hart; L Beauchesne; L Beauschene; Kathryn Williams; R A Davies; M Labinaz; R S B Beanlands
Journal:  J Nucl Cardiol       Date:  2004 Jul-Aug       Impact factor: 5.952

View more
  21 in total

1.  Automatic alignment of myocardial perfusion PET and 64-slice coronary CT angiography on hybrid PET/CT.

Authors:  Ryo Nakazato; Damini Dey; Erick Alexánderson; Aloha Meave; Moisés Jiménez; Edgar Romero; Rodrigo Jácome; Marco Peña; Daniel S Berman; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2012-03-15       Impact factor: 5.952

2.  Feasibility of stress only rubidium-82 PET myocardial perfusion imaging.

Authors:  Sean R McMahon; Janusz Kikut; Richard G Pinckney; Friederike K Keating
Journal:  J Nucl Cardiol       Date:  2013-08-17       Impact factor: 5.952

3.  Characterizing the normal range of myocardial blood flow with ⁸²rubidium and ¹³N-ammonia PET imaging.

Authors:  Jennifer M Renaud; Jean N DaSilva; Rob S B Beanlands; Robert A DeKemp
Journal:  J Nucl Cardiol       Date:  2013-05-09       Impact factor: 5.952

4.  Automatic registration of misaligned CT attenuation correction maps in Rb-82 PET/CT improves detection of angiographically significant coronary artery disease.

Authors:  Piotr J Slomka; Mariana Diaz-Zamudio; Damini Dey; Manish Motwani; Yafim Brodov; David Choi; Sean Hayes; Louise Thomson; John Friedman; Guido Germano; Daniel Berman
Journal:  J Nucl Cardiol       Date:  2015-02-20       Impact factor: 5.952

5.  Low-dose 3D (82)Rb PET.

Authors:  Piotr J Slomka; Daniel S Berman; Guido Germano
Journal:  J Nucl Cardiol       Date:  2012-12       Impact factor: 5.952

6.  Accuracy of low-dose rubidium-82 myocardial perfusion imaging for detection of coronary artery disease using 3D PET and normal database interpretation.

Authors:  Tyler Kaster; Ilias Mylonas; Jennifer M Renaud; George A Wells; Rob S B Beanlands; Robert A deKemp
Journal:  J Nucl Cardiol       Date:  2012-09-21       Impact factor: 5.952

7.  Dependency of cardiac rubidium-82 imaging quantitative measures on age, gender, vascular territory, and software in a cardiovascular normal population.

Authors:  John J Sunderland; Xiao-Bo Pan; Jerome Declerck; Yusuf Menda
Journal:  J Nucl Cardiol       Date:  2014-10-08       Impact factor: 5.952

8.  The relationship between ischemia-induced left ventricular dysfunction, coronary flow reserve, and coronary steal on regadenoson stress-gated (82)Rb PET myocardial perfusion imaging.

Authors:  Andrew Van Tosh; John R Votaw; Nathaniel Reichek; Christopher J Palestro; Kenneth J Nichols
Journal:  J Nucl Cardiol       Date:  2013-10-04       Impact factor: 5.952

Review 9.  CFR and FFR assessment with PET and CTA: strengths and limitations.

Authors:  Ryo Nakazato; Ran Heo; Jonathon Leipsic; James K Min
Journal:  Curr Cardiol Rep       Date:  2014-05       Impact factor: 2.931

10.  Myocardial perfusion imaging with PET.

Authors:  Ryo Nakazato; Daniel S Berman; Erick Alexanderson; Piotr Slomka
Journal:  Imaging Med       Date:  2013-02-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.