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- Hesse, B, et al.
(författare)
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EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology
- 2005
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Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - : Springer Science and Business Media LLC. - 1619-7070 .- 1619-7089. ; 32:7, s. 855-897
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Tidskriftsartikel (refereegranskat)abstract
- The European procedural guidelines for radionuclide imaging of myocardial perfusion and viability are presented in 13 sections covering patient information, radiopharmaceuticals, injected activities and dosimetry, stress tests, imaging protocols and acquisition, quality control and reconstruction methods, gated studies and attenuation-scatter compensation, data analysis, reports and image display, and positron emission tomography. If the specific recommendations given could not be based on evidence from original, scientific studies, we tried to express this state-of-art. The guidelines are designed to assist in the practice of performing, interpreting and reporting myocardial perfusion SPET. The guidelines do not discuss clinical indications, benefits or drawbacks of radionuclide myocardial imaging compared to non-nuclear techniques, nor do they cover cost benefit or cost effectiveness.
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- Holst, Holger, et al.
(författare)
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An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks
- 2001
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Ingår i: European Journal Of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0340-6997 .- 1619-7089. ; 28:1, s. 33-38
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Tidskriftsartikel (refereegranskat)abstract
- The purpose of this study was to evaluate a new automated method for the interpretation of lung perfusion scintigrams using patients from a hospital other than that where the method was developed, and then to compare the performance of the technique against that of experienced physicians. A total of 1,087 scintigrams from patients with suspected pulmonary embolism comprised the training group. The test group consisted of scintigrams from 140 patients collected in a hospital different to that from which the training group had been drawn. An artificial neural network was trained using 18 automatically obtained features from each set of perfusion scintigrams. The image processing techniques included alignment to templates, construction of quotient images based on the perfusion/template images, and finally calculation of features describing segmental perfusion defects in the quotient images. The templates represented lungs of normal size and shape without any pathological changes. The performance of the neural network was compared with that of three experienced physicians who read the same test scintigrams according to the modified PIOPED criteria using, in addition to perfusion images, ventilation images when available and chest radiographs for all patients. Performances were measured as area under the receiver operating characteristic curve. The performance of the neural network evaluated in the test group was 0.88 (95% confidence limits 0.81–0.94). The performance of the three experienced experts was in the range 0.87–0.93 when using the perfusion images, chest radiographs and ventilation images when available. Perfusion scintigrams can be interpreted regarding the diagnosis of pulmonary embolism by the use of an automated method also in a hospital other than that where it was developed. The performance of this method is similar to that of experienced physicians even though the physicians, in addition to perfusion images, also had access to ventilation images for most patients and chest radiographs for all patients. These results show the high potential for the method as a clinical decision support system.
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- Ripa, Rasmus Sejersten, et al.
(författare)
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Circulating angiogenic cytokines and stem cells in patients with severe chronic ischemic heart disease - Indicators of myocardial ischemic burden?
- 2007
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Ingår i: International Journal of Cardiology. - : Elsevier BV. - 0167-5273. ; 120:2, s. 181-187
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Tidskriftsartikel (refereegranskat)abstract
- Background: Angiogenic growth factors and stem cell therapies have demonstrated varying results in patients with chronic coronary artery disease. A reason could be that these mechanisms are already up-regulated due to reduced blood supply to the myocardium. The objective of this study was to examine if plasma concentrations of circulating stem cells and angiogenic cytokines in patients with severe stable chronic coronary artery disease were correlated to the clinical severity of the disease. Methods: Fifty-four patients with severe coronary artery disease and reversible ischemia at stress myocardial perfusion scintigraphy were prospectively included. The severity of the disease was quantified by an exercise tolerance test, Canadian Cardiovascular Society angina classification, and Seattle Angina Pectoris Questionnaire. Fifteen persons without coronary artery disease served as control subjects. Results: Plasma concentration of VEGF-A, FGF-2, SDF-1, and circulating CD34+ and CD34-/CD45-cells were similar in the two groups, but early stem cell markers (CD105, CD73, CD166) and endothelial markers (CD31, CD144, VEGFR2) were significantly different between patients and control subjects (p < 0.005- 0.001). Diabetic patients had higher concentration of SDF-1 (2528 vs. 2150 pg/ml, p= 0.004). We found significant correlations between both VEGF-A, FGF-2, and CD34+ to disease severity, including degree of reversible ischemia, angina stability score, and exertional dyspnoea. Conclusions: Plasma concentrations of circulating stem cells and angiogenic cytokines have large inter-individual variations, which probably exclude them from being useful as indicators of myocardial ischemic burden.
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- Tägil, Kristina, et al.
(författare)
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A decision support system improves the interpretation of myocardial perfusion imaging.
- 2008
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Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - : Springer Science and Business Media LLC. - 1619-7070 .- 1619-7089. ; 35:9, s. 1602-1607
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE: The aim of this study was to investigate the influence of a computer-based decision support system (DSS) on performance and inter-observer variability of interpretations regarding ischaemia and infarction in myocardial perfusion scintigraphy (MPS). METHODS: Seven physicians independently interpreted 97 MPS studies, first without and then with the advice of a DSS. Four physicians had long experience and three had limited experience in the interpretation of MPS. Each study was interpreted regarding myocardial ischaemia and infarction in five myocardial regions. The patients had undergone a gated MPS using a 2-day stress/gated rest (99m)Tc sestamibi protocol. The gold standard used was the interpretations made by one experienced nuclear medicine specialist on the basis of all available clinical and image information. RESULTS: The sensitivity for ischaemia of the seven readers increased from 81% without the DSS to 86% with the DSS (p = 0.01). The increase in sensitivity was higher for the three inexperienced physicians (9%) than for the four experienced physicians (2%). There was no significant change in specificity between the interpretations. The interpretations of ischaemia made with the advice of the DSS showed less inter-observer variability than those made without advice. CONCLUSION: This study shows that a DSS can improve performance and reduces the inter-observer variability of interpretations in myocardial perfusion imaging. Both experienced and, especially, inexperienced physicians can improve their interpretation with the advice from such a system.
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