Literature DB >> 16640507

Validation of a new automated method for analysis of gated-SPECT images.

Milan Lomsky1, Jens Richter, Lena Johansson, Poul F Høilund-Carlsen, Lars Edenbrandt.   

Abstract

We recently presented a new method for quantification of CArdiac FUnction--denoted CAFU--as the first step in the development of an automated method for integrated interpretation of gated myocardial perfusion single photon emission computed tomography (SPECT) images. The aim of this study was to validate CAFU in the assessment of global and regional function of the left ventricle. Quantitative gated-SPECT (QGS), the most widely used software package for quantification of gated-SPECT images, was used as reference method for the measurements of ejection fraction (EF) and ventricular volumes, and visual analysis by an experienced physician was used as reference method for the measurements of regional wall motion and thickening. Two different groups of consecutive patients referred for myocardial perfusion scintigraphy were studied. Global function was evaluated in 316 patients and regional function in 49 other patients. The studies were performed using a 2-day stress/rest 99 m-Tc-sestamibi protocol. A good correlation was found between EF values from QGS and CAFU (EF CAFU = 0.84 EF QGS + 13, r = 0.94), but CAFU values were on average 4 EF points higher than QGS values. With CAFU the segments with normal thickening according to the physician showed significantly higher thickening values (in all parts of the myocardium) compared to the segments classified as having abnormal thickening. In conclusion, this study demonstrates that CAFU can be used to quantify global and regional function in gated-SPECT images. This is an important step in our development of an automated method for integrated interpretation of gated-SPECT myocardial perfusion scintigraphy studies.

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Year:  2006        PMID: 16640507     DOI: 10.1111/j.1475-097X.2006.00667.x

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  10 in total

1.  Use of neural networks to improve quality control of interpretations in myocardial perfusion imaging.

Authors:  K Tägil; J Marving; M Lomsky; B Hesse; L Edenbrandt
Journal:  Int J Cardiovasc Imaging       Date:  2008-06-29       Impact factor: 2.357

2.  Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT.

Authors:  Milan Lomsky; Peter Gjertsson; Lena Johansson; Jens Richter; Mattias Ohlsson; Deborah Tout; Andries van Aswegen; S Richard Underwood; Lars Edenbrandt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-03-04       Impact factor: 9.236

3.  Derivation of a respiration trigger signal in small animal list-mode PET based on respiration-induced variations of the ECG signal.

Authors:  Andrei Todica; Sebastian Lehner; Hao Wang; Mathias J Zacherl; Katharina Nekolla; Erik Mille; Guoming Xiong; Peter Bartenstein; Christian la Fougère; Marcus Hacker; Guido Böning
Journal:  J Nucl Cardiol       Date:  2015-06-12       Impact factor: 5.952

4.  Positron emission tomography in the assessment of left ventricular function in healthy rats: a comparison of four imaging methods.

Authors:  Andrei Todica; Guido Böning; Sebastian Lehner; Eliane Weidl; Paul Cumming; Carmen Wängler; Stephan G Nekolla; Markus Schwaiger; Peter Bartenstein; Ralf Schirrmacher; M Hacker
Journal:  J Nucl Cardiol       Date:  2012-12-19       Impact factor: 5.952

5.  Computer-aided diagnosis system outperforms scoring analysis in myocardial perfusion imaging.

Authors:  Lena Johansson; Lars Edenbrandt; Kenichi Nakajima; Milan Lomsky; Sven-Eric Svensson; Elin Trägårdh
Journal:  J Nucl Cardiol       Date:  2014-01-18       Impact factor: 5.952

6.  A decision support system improves the interpretation of myocardial perfusion imaging.

Authors:  K Tägil; M Bondouy; J P Chaborel; W Djaballah; P R Franken; S Grandpierre; B Hesse; M Lomsky; P Y Marie; T Poisson; L Edenbrandt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-05-20       Impact factor: 9.236

7.  Diagnostic evaluation of three cardiac software packages using a consecutive group of patients.

Authors:  Lena Johansson; Milan Lomsky; Jens Marving; Mattias Ohlsson; Sven-Eric Svensson; Lars Edenbrandt
Journal:  EJNMMI Res       Date:  2011-09-30       Impact factor: 3.138

8.  Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

Authors:  Kenichi Nakajima; Takashi Kudo; Tomoaki Nakata; Keisuke Kiso; Tokuo Kasai; Yasuyo Taniguchi; Shinro Matsuo; Mitsuru Momose; Masayasu Nakagawa; Masayoshi Sarai; Satoshi Hida; Hirokazu Tanaka; Kunihiko Yokoyama; Koichi Okuda; Lars Edenbrandt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-09-26       Impact factor: 9.236

9.  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.

Authors:  Kenichi Nakajima; Koichi Okuda; Shinro Matsuo; Keisuke Kiso; Seigo Kinuya; Ernest V Garcia
Journal:  J Nucl Cardiol       Date:  2016-02-09       Impact factor: 5.952

10.  Normal limits for left ventricular ejection fraction and volumes determined by gated single photon emission computed tomography--a comparison between two quantification methods.

Authors:  Milan Lomsky; Lena Johansson; Peter Gjertsson; Jonas Björk; Lars Edenbrandt
Journal:  Clin Physiol Funct Imaging       Date:  2008-02-25       Impact factor: 2.273

  10 in total

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