| 1. |
- Polymeri, Erini, et al.
(författare)
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Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
- 2020
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Ingår i: Clinical Physiology and Functional Imaging. - Chichester : Blackwell Publishing. - 1475-0961 .- 1475-097X. ; 40:2, s. 106-113
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Tidskriftsartikel (refereegranskat)abstract
- Aim: To validate a deep-learning (DL) algorithm for automated quantification of prostate cancer on positron emission tomography/computed tomography (PET/CT) and explore the potential of PET/CT measurements as prognostic biomarkers. Material and methods: Training of the DL-algorithm regarding prostate volume was performed on manually segmented CT images in 100 patients. Validation of the DL-algorithm was carried out in 45 patients with biopsy-proven hormone-naïve prostate cancer. The automated measurements of prostate volume were compared with manual measurements made independently by two observers. PET/CT measurements of tumour burden based on volume and SUV of abnormal voxels were calculated automatically. Voxels in the co-registered 18F-choline PET images above a standardized uptake value (SUV) of 2·65, and corresponding to the prostate as defined by the automated segmentation in the CT images, were defined as abnormal. Validation of abnormal voxels was performed by manual segmentation of radiotracer uptake. Agreement between algorithm and observers regarding prostate volume was analysed by Sørensen-Dice index (SDI). Associations between automatically based PET/CT biomarkers and age, prostate-specific antigen (PSA), Gleason score as well as overall survival were evaluated by a univariate Cox regression model. Results: The SDI between the automated and the manual volume segmentations was 0·78 and 0·79, respectively. Automated PET/CT measures reflecting total lesion uptake and the relation between volume of abnormal voxels and total prostate volume were significantly associated with overall survival (P = 0·02), whereas age, PSA, and Gleason score were not. Conclusion: Automated PET/CT biomarkers showed good agreement to manual measurements and were significantly associated with overall survival. © 2019 The Authors. Clinical Physiology and Functional Imaging published by John Wiley & Sons Ltd on behalf of Scandinavian Society of Clinical Physiology and Nuclear Medicine
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| 2. |
- Albinsson, John, et al.
(författare)
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Improved tracking performance of lagrangian block-matching methodologies using block expansion in the time domain : In silico, phantom and invivo evaluations
- 2014
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Ingår i: Ultrasound in Medicine and Biology. - : Elsevier. - 0301-5629 .- 1879-291X. ; 40:10, s. 2508-2520
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this study was to evaluate tracking performance when an extra reference block is added to a basic block-matching method, where the two reference blocks originate from two consecutive ultrasound frames. The use of an extra reference block was evaluated for two putative benefits: (i) an increase in tracking performance while maintaining the size of the reference blocks, evaluated using in silico and phantom cine loops; (ii) a reduction in the size of the reference blocks while maintaining the tracking performance, evaluated using in vivo cine loops of the common carotid artery where the longitudinal movement of the wall was estimated. The results indicated that tracking accuracy improved (mean - 48%, p<0.005 [in silico]; mean - 43%, p<0.01 [phantom]), and there was a reduction in size of the reference blocks while maintaining tracking performance (mean - 19%, p<0.01 [in vivo]). This novel method will facilitate further exploration of the longitudinal movement of the arterial wall. (C) 2014 World Federation for Ultrasound in Medicine & Biology.
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| 3. |
- Verikas, Antanas, 1951-, et al.
(författare)
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A kernel-based approach to categorizing laryngeal images
- 2007
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Ingår i: Computerized Medical Imaging and Graphics. - New York : Pergamon Press. - 0895-6111 .- 1879-0771. ; 31:8, s. 587-594
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Tidskriftsartikel (refereegranskat)abstract
- This paper is concerned with an approach to automated analysis of vocal fold images aiming to categorize laryngeal diseases. Colour, texture, and geometrical features are used to extract relevant information. A committee of support vector machines is then employed for performing the categorization of vocal fold images into healthy, diffuse, and nodular classes. The discrimination power of both, the original and the space obtained based on the kernel principal component analysis is investigated. A correct classification rate of over 92% was obtained when testing the system on 785 vocal fold images. Bearing in mind the high similarity of the decision classes, the correct classification rate obtained is rather encouraging.
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| 4. |
- Bergquist, Magnus, 1960-, et al.
(författare)
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Trust and stakeholder perspectives on the implementation of AI tools in clinical radiology
- 2024
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Ingår i: European Radiology. - Heidelberg : Springer. - 0938-7994 .- 1432-1084. ; 34:1, s. 338-347
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To define requirements that condition trust in artificial intelligence (AI) as clinical decision support in radiology from the perspective of various stakeholders and to explore ways to fulfil these requirements.Methods: Semi-structured interviews were conducted with twenty-five respondents—nineteen directly involved in the development, implementation, or use of AI applications in radiology and six working with AI in other areas of healthcare. We designed the questions to explore three themes: development and use of AI, professional decision-making, and management and organizational procedures connected to AI. The transcribed interviews were analysed in an iterative coding process from open coding to theoretically informed thematic coding.Results: We identified four aspects of trust that relate to reliability, transparency, quality verification, and inter-organizational compatibility. These aspects fall under the categories of substantial and procedural requirements.Conclusions: Development of appropriate levels of trust in AI in healthcare is complex and encompasses multiple dimensions of requirements. Various stakeholders will have to be involved in developing AI solutions for healthcare and radiology to fulfil these requirements. Clinical relevance statement: For AI to achieve advances in radiology, it must be given the opportunity to support, rather than replace, human expertise. Support requires trust. Identification of aspects and conditions for trust allows developing AI implementation strategies that facilitate advancing the field.Key Points:• Dimensions of procedural and substantial demands that need to be fulfilled to foster appropriate levels of trust in AI in healthcare are conditioned on aspects related to reliability, transparency, quality verification, and inter-organizational compatibility. • Creating the conditions for trust to emerge requires the involvement of various stakeholders, who will have to compensate the problem’s inherent complexity by finding and promoting well-defined solutions. © 2023, The Author(s).
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| 5. |
- Pedersen, Eja, et al.
(författare)
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Audio-visual reactions to wind turbines
- 2003
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Ingår i: Acta Acoustica united with Acustica. - Stuttgart : S. Hirzel Verlag. - 1610-1928 .- 1861-9959. ; 89:Suppl.
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Tidskriftsartikel (refereegranskat)abstract
- A cross sectional study with the aim of evaluating dose response relationships between noise exposure from wind turbines and subjective reactions was performed in a flat landscape in Sweden. The study area comprised 16 turbines. Subjective reactions were obtained by a questionnaire, which purpose was masked. The response rate was 69% (356 respondents). Outdoor noise levels (dBA) were calculated for each dwelling at 2.5 dB intervals. The results showed a significant dose response relationship between noise level and annoyance. The prevalence of noise annoyance was comparatively high. In the categories of greatest noise exposure 37.5-40 dBA and >40 dBA, 20% (95%Cl: ±12.4) and 36% (95%Cl: ±18.4) were very annoyed. The noise only explained part of the annoyance. Noise annoyance was also correlated to visual factors such as the respondents’ opinion of the turbines’ impact on the landscape. To further study interactions between noise annoyance and visual disturbance, the shadows from wind turbines (hours/year) were calculated for each respondent and used as dose for annoyance of shadows, but also as a variable when trying to explain noise annoyance. The results of the analysis and the possible interactions between audio and visual annoyance will be presented at the conference.
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| 6. |
- Strand, Thomas, 1970-, et al.
(författare)
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An intervention-based study of how MRI is perceived by patients with spinal metastasis after adjustments to the examination procedures
- 2018
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Ingår i: Journal of Radiology Nursing. - Philadelphia, PA : Elsevier. - 1546-0843 .- 1555-9912. ; 37:2, s. 119-125
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Tidskriftsartikel (refereegranskat)abstract
- The aim was to explore magnetic resonance imaging (MRI) experiences of patients with spinal metastasis after adjustments to the examination procedures have been made in accordance with the findings from a previous study. MRI is an important medical technology, which is considered to be the first choice of examination method when diagnosing and evaluating spinal metastatic tumors. It is a challenge to care for patients who experience anxiety and pain during an MRI. However, several aspects of the examination can be adjusted to improve the care for these patients. Findings from previous research were used to develop a care intervention, the effects of which are explored in this study. Qualitative deductive-inductive content analysis was used in this study. Eleven patients with spinal metastasis were interviewed about their experiences of going through an MRI scan based on an intervention designed in accordance with the findings from previous research. The findings showed that adjustments to the examination often were perceived as beneficial. However, patients needed to be involved in the decisions that influenced their own care. Time was an important component that affected the need for being prepared as well as the degree of personalization of the examination. This study shows that patients need to be seen as unique individuals, and they need to be able to influence the care that is given to them. The personalization of and adjustments to the examination routines need to be carried out in agreement with the patient.
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