| 1. |
- Ge, Chenjie, 1991, et al.
(author)
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Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification
- 2020
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In: IEEE Access. - 2169-3536 .- 2169-3536. ; 8:1, s. 22560-22570
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Journal article (peer-reviewed)abstract
- This paper addresses issues of brain tumor subtype classification using Magnetic Resonance Images (MRIs) from different scanner modalities like T1 weighted, T1 weighted with contrast-enhanced, T2 weighted and FLAIR images. Currently most available glioma datasets are relatively moderate in size, and often accompanied with incomplete MRIs in different modalities. To tackle the commonly encountered problems of insufficiently large brain tumor datasets and incomplete modality of image for deep learning, we propose to add augmented brain MR images to enlarge the training dataset by employing a pairwise Generative Adversarial Network (GAN) model. The pairwise GAN is able to generate synthetic MRIs across different modalities. To achieve the patient-level diagnostic result, we propose a post-processing strategy to combine the slice-level glioma subtype classification results by majority voting. A two-stage course-to-fine training strategy is proposed to learn the glioma feature using GAN-augmented MRIs followed by real MRIs. To evaluate the effectiveness of the proposed scheme, experiments have been conducted on a brain tumor dataset for classifying glioma molecular subtypes: isocitrate dehydrogenase 1 (IDH1) mutation and IDH1 wild-type. Our results on the dataset have shown good performance (with test accuracy 88.82%). Comparisons with several state-of-the-art methods are also included.
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| 2. |
- Robinson, Yohan, 1977, et al.
(author)
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AI och framtidens försvarsmedicin
- 2020
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Reports (other academic/artistic)abstract
- Medicinskt legitimerad personal är, och kommer med stor sannolikhet fortsattatt vara, en knapp resurs inom Försvarsmaktens sjukvårdsorganisation. I denna rapport ges en översikt över pågående och planerade ansatser baserade påartificiell intelligens (AI) inom akutsjukvård med särskild tonvikt på omhändertagandet av traumapatienter, där lösningarna skulle kunna bidra till att Försvarsmakten kan bibehålla sin sjukvårdskapacitet i kritiska lägen. Rapporten är ett resultat av samarbetet mellan FM, FOI, FMV, FHS och KI, och vänder sig i första hand till Försvarsmaktens strategiska ledning.Användningen av AI-teknik i framtida beslutsstöd kan skapa nya möjligheter till avlastning av personal och resurseffektivisering. Tekniken ger möjligheter att i realtid samla in, bearbeta och analysera stora mängder blandadinformation om förbands hälsoläge och fysiska stridsvärde. Bedömning av skadade kan t.ex. göras av triagedrönare och den efterföljande evakueringen kanunderlättas av intelligenta autonoma plattformar. Införandet av AI-system ställer dock vårdgivaren inför svåra etiska och medikolegala överväganden.Försvarsmedicin har en central roll i Försvarsmaktens krigföringsförmåga och för samhällets uthållighet. För att nyttja hela AI-teknikens framfart till Försvarsmaktens nytta måste dess innebörd och konsekvens för försvarsmedicinen förstås. Därför rekommenderar denna studie att Försvarsmaktens framtida satsningar inom AI och autonomi inkluderar den försvarsmedicinska teknikutveckling som är beskriven i denna rapport.
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| 3. |
- Kahn, Robin, et al.
(author)
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Population-based study of multisystem inflammatory syndrome associated with COVID-19 found that 36% of children had persistent symptoms
- 2022
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In: Acta Paediatrica, International Journal of Paediatrics. - : Wiley. - 0803-5253 .- 1651-2227. ; 111:2, s. 354-62
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Journal article (peer-reviewed)abstract
- Aim: Our aim was to describe the outcomes of multisystem inflammatory syndrome in children (MIS-C) associated with COVID-19. Methods: This national, population-based, longitudinal, multicentre study used Swedish data that were prospectively collected between 1 December 2020 and 31 May 2021. All patients met the World Health Organization criteria for MIS-C. The outcomes 2 and 8weeks after diagnosis are presented, and follow-up protocols are suggested. Results: We identified 152 cases, and 133 (87%) participated. When followed up 2weeks after MIS-C was diagnosed, 43% of the 119 patients had abnormal results, including complete blood cell counts, platelet counts, albumin levels, electrocardiograms and echocardiograms. After 8weeks, 36% of 89 had an abnormal patient history, but clinical findings were uncommon. Echocardiogram results were abnormal in 5% of 67, and the most common complaint was fatigue. Older children and those who received intensive care were more likely to report symptoms and have abnormal cardiac results. Conclusion: More than a third (36%) of the patients had persistent symptoms 8weeks after MIS-C, and 5% had abnormal echocardiograms. Older age and higher levels of initial care appeared to be risk factors. Structured follow-up visits are important after MIS-C.
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| 4. |
- Ali, Muhaddisa Barat, 1986, et al.
(author)
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A novel federated deep learning scheme for glioma and its subtype classification
- 2023
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In: Frontiers in Neuroscience. - 1662-4548 .- 1662-453X. ; 17
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Journal article (peer-reviewed)abstract
- Background: Deep learning (DL) has shown promising results in molecular-based classification of glioma subtypes from MR images. DL requires a large number of training data for achieving good generalization performance. Since brain tumor datasets are usually small in size, combination of such datasets from different hospitals are needed. Data privacy issue from hospitals often poses a constraint on such a practice. Federated learning (FL) has gained much attention lately as it trains a central DL model without requiring data sharing from different hospitals. Method: We propose a novel 3D FL scheme for glioma and its molecular subtype classification. In the scheme, a slice-based DL classifier, EtFedDyn, is exploited which is an extension of FedDyn, with the key differences on using focal loss cost function to tackle severe class imbalances in the datasets, and on multi-stream network to exploit MRIs in different modalities. By combining EtFedDyn with domain mapping as the pre-processing and 3D scan-based post-processing, the proposed scheme makes 3D brain scan-based classification on datasets from different dataset owners. To examine whether the FL scheme could replace the central learning (CL) one, we then compare the classification performance between the proposed FL and the corresponding CL schemes. Furthermore, detailed empirical-based analysis were also conducted to exam the effect of using domain mapping, 3D scan-based post-processing, different cost functions and different FL schemes. Results: Experiments were done on two case studies: classification of glioma subtypes (IDH mutation and wild-type on TCGA and US datasets in case A) and glioma grades (high/low grade glioma HGG and LGG on MICCAI dataset in case B). The proposed FL scheme has obtained good performance on the test sets (85.46%, 75.56%) for IDH subtypes and (89.28%, 90.72%) for glioma LGG/HGG all averaged on five runs. Comparing with the corresponding CL scheme, the drop in test accuracy from the proposed FL scheme is small (−1.17%, −0.83%), indicating its good potential to replace the CL scheme. Furthermore, the empirically tests have shown that an increased classification test accuracy by applying: domain mapping (0.4%, 1.85%) in case A; focal loss function (1.66%, 3.25%) in case A and (1.19%, 1.85%) in case B; 3D post-processing (2.11%, 2.23%) in case A and (1.81%, 2.39%) in case B and EtFedDyn over FedAvg classifier (1.05%, 1.55%) in case A and (1.23%, 1.81%) in case B with fast convergence, which all contributed to the improvement of overall performance in the proposed FL scheme. Conclusion: The proposed FL scheme is shown to be effective in predicting glioma and its subtypes by using MR images from test sets, with great potential of replacing the conventional CL approaches for training deep networks. This could help hospitals to maintain their data privacy, while using a federated trained classifier with nearly similar performance as that from a centrally trained one. Further detailed experiments have shown that different parts in the proposed 3D FL scheme, such as domain mapping (make datasets more uniform) and post-processing (scan-based classification), are essential.
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| 5. |
- Thulin, Helena, et al.
(author)
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Defecation disturbances after cystectomy for urinary bladder cancer
- 2011
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In: BJU International. - : Blackwell Publishing Ltd. - 1464-4096 .- 1464-410X. ; 108:2, s. 196-203
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Journal article (peer-reviewed)abstract
- What’s known on the subject? and What does the study add?Functional gastrointestinal symptoms and problems are common after radical cystectomy with urinary diversion. This study adds new important epidemiological data on this group of symptoms. OBJECTIVE: To describe and compare long-term defecation disturbances in patients who had undergone a cystectomy due to urinary bladder cancer with non-continent urostomies, continent reservoirs and orthotopic neobladder urinary diversions. PATIENTS AND METHODS: During their follow-up we attempted to contact all men and women aged 30–80 years who had undergone cystectomy and urinary diversion at seven Swedish hospitals. During a qualitative phase we identified defecation disturbances as a distressful symptom and included this item in a study-specific questionnaire together with free-hand comments. The patients completed the questionnaire at home. Outcome variables were dichotomized and the results are presented as relative risks with 95% confidence interval. RESULTS: The questionnaire was returned from 452 (92%) of 491 identified patients. Up to 30% reported problems with the physiological emptying process of stool (bowel movement, sensory rectal function, awareness of need for defecation, motoric rectal and anal function, straining ability). A sense of decreased straining capacity was reported by 20% of the men and women with non-continent urostomy and 14% and 8% of those with continent reservoirs and orthotopic neobladders, respectively. CONCLUSIONS: Of the cystectomized individuals 30% reported problems with the physiological emptying process of stool (bowel movement, sensory rectal function, awareness of need for defecation, motoric rectal and anal function, straining ability). Those wanting to improve the situation for bladder cancer survivors may consider communicating before surgery the possibility of stool-emptying problems, and asking about them after surgery.
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| 6. |
- Ahlsson, Anders, 1962-, et al.
(author)
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A Swedish consensus on the surgical treatment of concomitant atrial fibrillation
- 2012
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In: Scandinavian Cardiovascular Journal. - London, United Kingdom : Informa Healthcare. - 1401-7431 .- 1651-2006. ; 46:4, s. 212-218
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Research review (peer-reviewed)abstract
- Atrial fibrillation (AF) is a common arrhythmia among patients scheduled for open heart surgery and is associated with increased morbidity and mortality. According to international guidelines, symptomatic and selected asymptomatic patients should be offered concomitant surgical AF ablation in conjunction with valvular or coronary surgery. The gold standard in AF surgery is the Cox Maze III ("cut-and-sew") procedure, with surgical incisions in both atria according to a specified pattern, in order to prevent AF reentry circuits from developing. Over 90% of patients treated with the Cox Maze III procedure are free of AF after 1 year. Recent developments in ablation technology have introduced several energy sources capable of creating nonconducting atrial wall lesions. In addition, simplified lesion patterns have been suggested, but results with these techniques have been unsatisfactory. There is a clear need for standardization in AF surgery. The Swedish Arrhythmia Surgery Group, represented by surgeons from all Swedish units for cardiothoracic surgery, has therefore reached a consensus on surgical treatment of concomitant AF. This consensus emphasizes adherence to the lesion pattern in the Cox Maze III procedure and the use of biatrial lesions in nonparoxysmal AF.
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| 7. |
- Mani, Zakaria, et al.
(author)
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Global catastrophe of hospital disasters: a retrospective analysis (1976–2023)
- 2024
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In: Signa Vitae. - 1334-5605 .- 1845-206X.
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Journal article (peer-reviewed)abstract
- Hospitals are critical infrastructures that must remain operational during disasters, yet they often become disaster targets themselves. This study offers a global retrospective analysis of hospital disasters from 1976 to 2023, drawing on data from the Emergency Events Database (EM-DAT). Our methodology combines a historical data review with an evaluation of the impact of technological advancements, community awareness, governmental policies, and psychological support mechanisms on disaster mitigation. By categorizing disasters into collapses, explosions, and fires, we specifically examine incidents leading to significant human casualties and property damage. This retrospective study employs quantitative analysis to identify trends and patterns in hospital disasters, utilizing statistical methods to assess data categorization by EM-DAT and to evaluate the frequency, severity and geographical disparities of these incidents. A notable increase in hospital fires highlights an urgent need for improved safety standards and preparedness. Our analysis also reveals significant regional differences in hospital safety protocols, advocating for tailored preparedness strategies. Enhanced safety standards and disaster preparedness within healthcare facilities are imperative. We propose the development of comprehensive, region-specific preparedness strategies, informed by our findings, to mitigate the impact of future hospital disasters. Addressing these challenges necessitates a global, collaborative approach, emphasizing the role of international cooperation in fostering safer healthcare environments.
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| 8. |
- Cutas, Daniela, 1978, et al.
(author)
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Legal imperialism in the regulation of stem cell research and therapy: the problem of extraterritorial jurisdiction
- 2010
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In: Capps BJ & Campbell AV (eds.). CONTESTED CELLS: Global Perspectives on the Stem Cell Debate. - London : Imperial College Press. - 9781848164376 ; , s. 95-119
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Book chapter (other academic/artistic)abstract
- Countries worldwide have very different national regulations on human embryonic stem (ES) cell research, informed by a range of ethical values. Some countries find reason to extend the applicability of their regulations on such research to its citizens when they visit other countries. Extraterritorial jurisdiction has recently been identified as a potential challenge towards global regulation of ES cell research. This chapter explores the implications and impact of extraterritorial jurisdiction and global regulation of ES cell research on researchers, clinicians and national health systems, and how this may affect patients. The authors argue that it would make ethical sense for ES cell restrictive countries to extend its regulations on ES cell research beyond its borders, because, if these countries really consider embryo destruction to be objectionable on the basis on the status of the embryo, then they ought to count it morally on par with murder (and thus have a moral imperative to protect embryos from the actions of its own citizens). However, doing so could lead to a legal situation that would result in substantial harm to central values in areas besides research, such as health care, the job market, basic freedom of movement, and strategic international finance and politics. Thus, it seems that restrictive extraterritorial jurisdiction in respect to ES cell research would be deeply problematic, given that the ethical permissibility of ES cell research is characterised by deep and wide disagreement.
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| 9. |
- Ali, Muhaddisa Barat, 1986, et al.
(author)
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Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification
- 2019
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 11678 LNCS, s. 234-245
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Conference paper (peer-reviewed)abstract
- Diagnosis and timely treatment play an important role in preventing brain tumor growth. Deep learning methods have gained much attention lately. Obtaining a large amount of annotated medical data remains a challenging issue. Furthermore, high dimensional features of brain images could lead to over-fitting. In this paper, we address the above issues. Firstly, we propose an architecture for Generative Adversarial Networks to generate good quality synthetic 2D MRIs from multi-modality MRIs (T1 contrast-enhanced, T2, FLAIR). Secondly, we propose a deep learning scheme based on 3-streams of Convolutional Autoencoders (CAEs) followed by sensor information fusion. The rational behind using CAEs is that it may improve glioma classification performance (as comparing with conventional CNNs), since CAEs offer noise robustness and also efficient feature reduction hence possibly reduce the over-fitting. A two-round training strategy is also applied by pre-training on GAN augmented synthetic MRIs followed by refined-training on original MRIs. Experiments on BraTS 2017 dataset have demonstrated the effectiveness of the proposed scheme (test accuracy 92.04%). Comparison with several exiting schemes has provided further support to the proposed scheme.
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| 10. |
- Almqvist, Erik G., et al.
(author)
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Factors influencing insulin sensitivity in patients with mild primary hyperparathyroidism before and after parathyroidectomy
- 2012
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In: Scandinavian Journal of Clinical & Laboratory Investigation. - : Informa UK Limited. - 1502-7686 .- 0036-5513. ; 72:2, s. 92-99
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Journal article (peer-reviewed)abstract
- Objectives. Primary hyperparathyroidism (PHPT) is associated with cardiovascular disease. The aims of this study were to investigate lipid and glucose metabolism in mild PHPT, and to identify whether insulin sensitivity correlates with circulating levels of adiponectin, SHBG, and osteocalcin before and after parathyroidectomy (PTX). Materials and methods. Forty-five patients with PHPT were examined before and 1 year after PTX. Circulating levels of triglycerides, total cholesterol, HDL-cholesterol, insulin, glucose, adiponectin, SHBG, osteocalcin, and erythropoietin were measured. Results. At baseline, the mean serum levels of total cholesterol, LDL-cholesterol and triglycerides were above the upper reference limit or in the upper normal range, and insulin sensitivity was reduced as assessed using the HOMA index. One year after parathyroidectomy, serum lipids as well as HOMA index and erythropoietin were unchanged while adiponectin had increased (p < 0.05), and SHBG and osteocalcin had decreased (p < 0.05 and p < 0.0001, respectively). HOMA index correlated negatively with circulating levels of adiponectin, SHBG and osteocalcin. In multiple regression analysis SHBG was the most important predictor of insulin sensitivity, both pre- and postoperatively. Conclusion. Untreated mild PHPT is associated with a moderate derangement of lipid and glucose metabolism. As previously shown in population-based cohorts, insulin sensitivity is positively associated with circulating concentrations of adiponectin, SHBG and osteocalcin. One year after PTX, the mean level of adiponectin was increased, but the levels of SHBG and osteocalcin had decreased and the levels of serum lipids and the insulin sensitivity remained unchanged as compared with baseline.
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