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H J Siebelink

Publications and source records attributed to H J Siebelink.

4 recordsLinked to original sources
PubMed2006

[Acute ST-segment elevation also possible in non-coronary disorders].

Three patients were referred with symptoms of acute coronary syndrome. The ECG results indicated ST-segment elevation. A 39-year-old man had normal coronary arteries and was eventually diagnosed with pericarditis and myocarditis. A 71-year-old woman had ST-segment elevation caused by mechanical pressure from a chest drain that was inserted for a pneumothorax. A 62-year-old man was admitted to the intensive care unit and was found to have ST-segment elevation related to sepsis and non-significant coronary artery disease. All 3 patients recovered following adequate treatment. Percutaneous coronary intervention is the first choice therapy for ST-segment elevation myocardial infarction (STEMI). However, ST-segment elevation can also occur in patients with non-coronary disorders. Clinicians should be encouraged to scrutinise 'STEMI' as a referral diagnosis and check if there are signs of coronary mimicry, i.e. ECG changes due to a non-coronary underlying cause. The ECG changes should be considered in relation to the clinical data at presentation, rather than interpreted as a single diagnostic finding.

Acute Disease↗
PubMedDate not supplied

Automated ejection fraction determination from gated myocardial FDG-PET data.

BACKGROUND: The aim of this study was to determine the potential of the automated calculation of the left ventricular ejection fraction from gated myocardial positron emission tomography (PET) scans. METHODS: We retrospectively analyzed the data of 20 patients who underwent both gated fluorine 18 deoxyglucose (FDG)-PET and equilibrium radionuclide angiography (ERNA). Gated PET data were analyzed by 2 independent programs (ie, quantitative gated single photon emission computed tomography [QGS]) originally developed for gated single photon emission computed tomography studies and functional polarmap (FPM) originally developed for the analysis of (functional) dynamic PET studies. ERNA data were used as the gold standard. RESULTS: Both QGS and FPM left ventricular ejection fraction results correlated highly with ERNA (y = 0.90 x x-5.9, r = 0.86, P < .0001; y = 0.80 x x+3.3, r = 0.84, P < .0001, respectively). The correlation between FPM and QGS left ventricular ejection fraction results was even higher (y = 0.89 x x+8.6, r = 0.97, P < .0001). Bland-Altman plots showed systematic differences in the left ventricular ejection fraction of -9.6% +/- 7.5% (QGS vs ERNA), -3.8% +/- 7.8% (FPM vs ERNA), and -5.8% +/- 3.5% (QGS vs FPM). Further comparison of the left ventricular volumes revealed systematic difference between QGS and FPM. Our results indicate that the correlation between the different left ventricular ejection fractions shows little sensitivity to errors in the left ventricular volumes; however, the exact relationship is influenced by these errors. CONCLUSION: It is concluded that the automated determination of the left ventricular ejection fraction from gated PET data has significant potential; its results are highly and significantly correlated with ERNA. However, the methods presented here require additional calibration before final accuracy and clinical applicability can be determined.

Calibration↗