Literature DB >> 21747199

Validation of automated quantitation of myocardial perfusion and fatty acid metabolism abnormalities on SPECT images.

Keiichiro Yoshinaga1, Takayuki Matsuki, Akiyoshi Hashimoto, Kazumasa Tsukamoto, Tomoaki Nakata, Nagara Tamaki.   

Abstract

BACKGROUND: Myocardial perfusion and fatty acid imaging have played important roles in the risk stratification of patients with coronary artery disease (CAD). However, visual image assessment requires considerable experience and training. Therefore, an automated program has been developed that can quantify perfusion and fatty acid uptake on myocardial single emission computed tomography (SPECT). The present study aimed to validate the automated quantitative program. METHODS AND
RESULTS: A total of 50 patients were studied with known or suspected CAD who underwent stress ²⁰¹Thallium (²⁰¹Tl) and resting ¹²³I-labelled β-methyl iodophenyl pentadecanoic acid (BMIPP) SPECT. The SPECT images were quantified in 17 segments visually and using our Heart Score View software. Values were compared with those in a normal Japanese database and calculated summed stress (SSS), summed rest (SRS), summed difference (SDS), and summed BMIPP scores for each modality. Summed scores obtained using standard visual analysis and Heart Score View significantly correlated (²⁰¹Tl: SSS: r=0.934; SRS: r=0.827; SDS: r=0.743 summed BMIPP score: r=0.913) (each P<0.001) and Bland-Altman analysis revealed good agreement between the 2 approaches.
CONCLUSIONS: Correlations between scores determined using Heart Score View software and standard visual interpretation were linear for both perfusion and fatty acid images. Thus, our new automated program might be useful for the risk stratification of patients with CAD in the clinical setting.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21747199     DOI: 10.1253/circj.cj-10-1272

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  8 in total

Review 1.  Current status of nuclear cardiology in Japan: Ongoing efforts to improve clinical standards and to establish evidence.

Authors:  Keiichiro Yoshinaga; Nagara Tamaki
Journal:  J Nucl Cardiol       Date:  2015-04-22       Impact factor: 5.952

2.  Validation of threshold method for myocardial control database by use of clinical data.

Authors:  Atsushi Narita; Susumu Shiomi; Joji Kawabe; Hiroyuki Tsushima; Takashi Yamanaga; Yasuyoshi Watanabe
Journal:  Radiol Phys Technol       Date:  2014-06-06

3.  Effectiveness of Iodine-123 β-methyl-P-iodophenyl-pentadecanoic acid (BMIPP) Myocardial Scintigraphy for Cancer Therapeutics-Related Cardiac Dysfunction (CTRCD) in Breast Cancer Patients.

Authors:  Yuko Harada; Kyosuke Shimada; Yukino Kubota; Miyoko Yamashita
Journal:  Cureus       Date:  2022-05-31

Review 4.  Ischaemic memory imaging using metabolic radiopharmaceuticals: overview of clinical settings and ongoing investigations.

Authors:  Keiichiro Yoshinaga; Masanao Naya; Tohru Shiga; Eriko Suzuki; Nagara Tamaki
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-12       Impact factor: 9.236

5.  Simultaneous dual-isotope imaging based on an artificial neural network for evaluating myocardial perfusion and fatty acid metabolism.

Authors:  Jun Hashimoto; Koichi Ogawa; Jingming Bai; Atsushi Kubo; Yutaka Imai
Journal:  J Nucl Cardiol       Date:  2013-03-05       Impact factor: 5.952

6.  Prognostic value of automated SPECT scoring system for coronary artery disease in stress myocardial perfusion and fatty acid metabolism imaging.

Authors:  Tomoaki Nakata; Akiyoshi Hashimoto; Takayuki Matsuki; Keiichiro Yoshinaga; Kazumasa Tsukamoto; Nagara Tamaki
Journal:  Int J Cardiovasc Imaging       Date:  2012-07-11       Impact factor: 2.357

7.  Association between abnormal myocardial scintigraphy findings and long-term outcomes for elderly patients 85 years or older: a retrospective cohort study.

Authors:  Takao Kato; Mitsumasa Okano; Yoshizumi Haruna; Moriaki Inoko
Journal:  BMC Cardiovasc Disord       Date:  2019-11-06       Impact factor: 2.298

8.  Impaired renal function is a major determinant of left ventricular diastolic dysfunction: assessment by stress myocardial perfusion imaging.

Authors:  Wakana Sato; Toshimitsu Kosaka; Takashi Koyama; Masaru Ishida; Kenji Iino; Hiroyuki Watanabe; Hiroshi Ito
Journal:  Ann Nucl Med       Date:  2013-05-28       Impact factor: 2.668

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.