Literature DB >> 22776752

Diagnostic value of 13N-ammonia myocardial perfusion PET: added value of myocardial flow reserve.

Michael Fiechter1, Jelena R Ghadri, Cathérine Gebhard, Tobias A Fuchs, Aju P Pazhenkottil, Rene N Nkoulou, Bernhard A Herzog, Christophe A Wyss, Oliver Gaemperli, Philipp A Kaufmann.   

Abstract

UNLABELLED: The ability to obtain quantitative values of flow and myocardial flow reserve (MFR) has been perceived as an important advantage of PET over conventional nuclear myocardial perfusion imaging (MPI). We evaluated the added diagnostic value of MFR over MPI alone as assessed with (13)N-ammonia and PET/CT to predict angiographic coronary artery disease (CAD).
METHODS: Seventy-three patients underwent 1-d adenosine stress-rest (13)N-ammonia PET/CT MPI, and MFR was calculated. The added value of MFR as an adjunct to MPI for predicting CAD (luminal narrowing ≥ 50%) was evaluated using invasive coronary angiography as a standard of reference.
RESULTS: Per patient, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of MPI for detecting significant CAD were 79%, 80%, 91%, 59%, and 79%, respectively. Adding a cutoff of less than 2.0 for global MFR to MPI findings improved the values to 96% (P < 0.005), 80%, 93%, 89% (P < 0.005), and 92% (P < 0.005), respectively.
CONCLUSION: The quantification of MFR in (13)N-ammonia PET/CT MPI provides a substantial added diagnostic value for detection of CAD. Particularly in patients with normal MPI results, quantification of MFR helps to unmask clinically significant CAD.

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Year:  2012        PMID: 22776752     DOI: 10.2967/jnumed.111.101840

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  66 in total

1.  Myocardial blood flow: Putting it into clinical perspective.

Authors:  Thomas Hellmut Schindler
Journal:  J Nucl Cardiol       Date:  2015-12-28       Impact factor: 5.952

Review 2.  Clinical use of quantitative cardiac perfusion PET: rationale, modalities and possible indications. Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM).

Authors:  Roberto Sciagrà; Alessandro Passeri; Jan Bucerius; Hein J Verberne; Riemer H J A Slart; Oliver Lindner; Alessia Gimelli; Fabien Hyafil; Denis Agostini; Christopher Übleis; Marcus Hacker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-02-05       Impact factor: 9.236

3.  Feasibility of dynamic stress 201Tl/rest 99mTc-tetrofosmin single photon emission computed tomography for quantification of myocardial perfusion reserve in patients with stable coronary artery disease.

Authors:  Sangwon Han; Young-Hak Kim; Jung-Min Ahn; Soo-Jin Kang; Jungsu S Oh; Eonwoo Shin; Changhwan Sung; Sun Young Chae; Seung-Jung Park; Gillan Grimberg; Gil Kovalski; Dae Hyuk Moon
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-06-02       Impact factor: 9.236

4.  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

5.  Preserved coronary flow reserve effectively excludes high-risk coronary artery disease on angiography.

Authors:  Masanao Naya; Venkatesh L Murthy; Viviany R Taqueti; Courtney R Foster; Josh Klein; Mariya Garber; Sharmila Dorbala; Jon Hainer; Ron Blankstein; Frederick Resnic; Marcelo F Di Carli
Journal:  J Nucl Med       Date:  2014-01-09       Impact factor: 10.057

Review 6.  Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective.

Authors:  Jonathan B Moody; Benjamin C Lee; James R Corbett; Edward P Ficaro; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2015-04-14       Impact factor: 5.952

7.  Evaluation of image reconstruction algorithms encompassing Time-Of-Flight and Point Spread Function modelling for quantitative cardiac PET: phantom studies.

Authors:  L Presotto; L Gianolli; M C Gilardi; V Bettinardi
Journal:  J Nucl Cardiol       Date:  2014-11-04       Impact factor: 5.952

Review 8.  Quantification of PET Myocardial Blood Flow.

Authors:  Matthieu Pelletier-Galarneau; Patrick Martineau; Georges El Fakhri
Journal:  Curr Cardiol Rep       Date:  2019-02-28       Impact factor: 2.931

9.  Feasibility of myocardial flow reserve prediction without the use of dynamic data from myocardial perfusion positron emission tomography.

Authors:  Hidenobu Hashimoto; Yoshimitsu Fukushima; Shin-Ichiro Kumita; Takeshi Tomiyama; Tomonari Kiriyama
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-19       Impact factor: 2.357

Review 10.  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

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