| 1. |
- Ahlander, Britt-Marie, 1954-, et al.
(author)
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Development and validation of a questionnaire evaluating patient anxiety during Magnetic Resonance Imaging : the Magnetic Resonance Imaging- Anxiety Questionnaire (MRI-AQ)
- 2016
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In: Journal of Advanced Nursing. - : Wiley-Blackwell. - 0309-2402 .- 1365-2648. ; 72:6, s. 1368-1380
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Journal article (peer-reviewed)abstract
- Aim: To develop and validate a new instrument measuring patient anxiety during Magnetic Resonance Imaging examinations, Magnetic Resonance Imaging-Anxiety Questionnaire.Background: Questionnaires measuring patients’ anxiety during Magnetic Resonance Imaging examinations have been the same as used in a wide range of conditions. To learn about patients’ experience during examination and to evaluate interventions, a specific questionnaire measuring patient anxiety during Magnetic Resonance Imaging is needed.Design: Psychometric cross-sectional study with test-retest design.Methods: A new questionnaire, Magnetic Resonance Imaging-Anxiety Questionnaire, was designed from patient expressions of anxiety in Magnetic Resonance Imagingscanners. The sample was recruited between October 2012–October 2014. Factor structure was evaluated with exploratory factor analysis and internal consistency with Cronbach’s alpha. Criterion-related validity, known-group validity and test-retest was calculated.Results: Patients referred for Magnetic Resonance Imaging of either the spine or the heart, were invited to participate. The development and validation of Magnetic Resonance Imaging-Anxiety Questionnaire resulted in 15 items consisting of two factors. Cronbach’s alpha was found to be high. Magnetic Resonance Imaging-Anxiety Questionnaire correlated higher with instruments measuring anxiety than with depression scales. Known-group validity demonstrated a higher level of anxiety for patients undergoing Magnetic Resonance Imaging scan of the heart than for those examining the spine. Test-retest reliability demonstrated acceptable level for the scale.Conclusion: Magnetic Resonance Imaging-Anxiety Questionnaire bridges a gap among existing questionnaires, making it a simple and useful tool for measuring patient anxiety during Magnetic Resonance Imaging examinations.
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| 2. |
- Lagerqvist, Bo, et al.
(author)
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Outcomes 1 year after thrombus aspiration for myocardial infarction.
- 2014
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In: New England Journal of Medicine. - : Massachusetts Medical Society. - 0028-4793 .- 1533-4406. ; 371:12, s. 1111-1120
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Journal article (peer-reviewed)abstract
- Routine intracoronary thrombus aspiration before primary percutaneous coronary intervention (PCI) in patients with ST-segment elevation myocardial infarction (STEMI) has not been proved to reduce short-term mortality. We evaluated clinical outcomes at 1 year after thrombus aspiration.
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| 4. |
- Khodadad, Davood, 1985-, et al.
(author)
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B-spline based free form deformation thoracic non-rigid registration of CT and PET images
- 2011
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In: International Conference on Graphic and Image Processing (ICGIP 2011). - : SPIE - International Society for Optical Engineering. ; 8285
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Conference paper (peer-reviewed)abstract
- Accurate attenuation correction of emission data is mandatory for quantitative analysis of PET images. One of the main concerns in CT-based attenuation correction(CTAC) of PET data in multimodality PET/CT imaging is misalignment between PET and CT images. The aim of this study, is to proposed a hybrid method which is simple, fast and accurate, for registration of PET and CT data which affected from respiratory motion in order to improve the quality of CTAC. The algorithm is composed of three methods: First, using B-spline Free Form Deformation to describe both images and deformation field. Then applying a pre-filtering on both PET and CT images before segmentation of structures in order to reduce the respiratory related attenuation correction artifacts of PET emission data. In this approach, B-spline using FFD provide more accurate adaptive transformation to align the images, and structure constraints obtained from prefiltering applied to guide the algorithm to be more fast and accurate. Also it helps to reduce the radiation dose in PET/CT by avoiding repetition of CT imaging. These advances increase the potential of the method for routine clinical application.
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| 5. |
- Rahman Jabin, MD Shafiqur, et al.
(author)
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Effectiveness of quality improvement interventions for patient safety in radiology : a systematic review protocol
- 2016
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In: The JBI Database of Systematic Reviews and Implementation Reports. - : Lippincott Williams & Wilkins. - 2202-4433. ; 14:9, s. 65-78
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Research review (peer-reviewed)abstract
- The objective of this review is to find the best available evidence regarding effectiveness of quality improvement interventions in clinical radiology and the experiences and perspectives of staff and patients. More specifically, the review questions are:How effective are the interventions that may improve or affect patient safety and quality in clinical radiology?What are the experiences and perspectives of staff and patients of patient safety and quality improvement interventions?
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| 6. |
- Rahman Jabin, MD Shafiqur, et al.
(author)
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Identifying and characterizing the 18 steps of medical imaging process workflow as a basis for targeting improvements in clinical practice
- 2019
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In: 2019 IEEE International Conference on Imaging Systems and Techniques (IST). - : IEEE. - 9781728138688 - 9781728138695 ; , s. 1-6
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Conference paper (peer-reviewed)abstract
- We reviewed initiatives to improve the quality and safety of health information technology in medical imaging through the lens of incident reports provided by healthcare professionals in each sequential step of the medical imaging process workflow. The 18 steps of imaging workflow were framed based on a literature review, visits to hospital radiology departments, interviews with radiologists, and iterative consultations with experts. Both inductive and deductive analyses were applied to 436 health information technology related incidents identified from 4,915 medical imaging incident reports. In the 18 imaging workflow steps both human (58%) and technical factors (42%) were involved. Classification from the perspective of the 18 steps of the imaging workflow was useful because it orientates the reporter and analysts to the tasks at each stage, and it also informs the analysts as to where corrective strategies could be addressed. Most of the things that go wrong in healthcare occur infrequently, so collecting information after they have gone wrong is the only practical approach to identifying and characterizing them. This should become a routine part of clinical practice in a complex constantly changing system.
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| 10. |
- Warkentin, Siegbert, et al.
(author)
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Regional Cerebral Blood Flow in Alzheimer's Disease: Classification and Analysis of Heterogeneity.
- 2004
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In: Dementia and Geriatric Cognitive Disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 17:3, s. 207-214
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Journal article (peer-reviewed)abstract
- Neural networks have been successfully applied to brain perfusion images to classify patients with Alzheimer’s disease from normal or other patient populations. Given the recognition that Alzheimer’s disease constitutes a heterogeneous disorder, the identification of subgroups sharing common functional brain deficits would constitute a further improvement in the utility of such methods. Therefore, we aimed to investigate whether neural networks could discriminate cortical perfusion deficits of patients with Alzheimer’s disease from normal brain perfusion. A second step was to identify subgroups of patients sharing similar perfusion deficits. The study population consisted of one group of 92 normal healthy subjects and one group of 132 patients with mild-to-moderate Alzheimer’s disease. The patients were diagnosed according to established criteria (DSM-IV and NINCDS-ADRDA). Regional cerebral blood flow was assessed by the non-invasive <sup>133</sup>Xe inhalation method, using a 64-detector system for measurements of blood flow in superficial cortical areas. The regional blood flow values were used as the only input to artificial neural networks with multilayer Perceptron architecture. The networks were trained using the back-propagation updating algorithm. A fourfold cross validation procedure was used in order to obtain the most reliable performance of the networks. The performance of the neural network, measured as the area under the receiver-operating characteristic curve, was 0.94, with a sensitivity for Alzheimer’s disease of 86% at a specificity of 90%. An analysis of the relative importance of cortical areas in the discrimination showed that left parietal areas were more important than the right homologous ones. A clustering analysis of the Alzheimer patients identified three or four subgroups of patients with clearly different combinations of blood flow pathology. A consistent finding in all subgroups was a significant deficit in temporoparietal blood flow of both hemispheres. Distinct group differences were seen in frontal, central and occipital areas with different combinations of involvement. This is the first study in which neural networks have been applied to brain perfusion images obtained with the <sup>133</sup>Xe inhalation method. The results demonstrate that a classification of patients with Alzheimer’s disease obtained with this method is compatible with the best results obtained with other brain imaging methods. The identification of clearly distinguishable patterns of blood flow pathology in subgroups of patients lends further support to the notion that Alzheimer’s disease is a heterogeneous disorder.
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