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Dahlqvist Leinhard, OlofORCID iD iconorcid.org/0000-0002-6189-0807
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Publikationer (10 of 129) Visa alla publikationer
Linge, J., Whitcher, B., Borga, M. & Dahlqvist Leinhard, O. (2019). Sub-phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets. Obesity, 27(7), 1190-1199
Öppna denna publikation i ny flik eller fönster >>Sub-phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets
2019 (Engelska)Ingår i: Obesity, ISSN 1930-7381, E-ISSN 1930-739X, Vol. 27, nr 7, s. 1190-1199Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Objective: This study performed individual-centric, data-driven calculations of propensity for coronary heart disease (CHD) and type 2 diabetes (T2D), utilizing magnetic resonance imaging-acquired body composition measurements, for sub-phenotyping of obesity and nonalcoholic fatty liver disease (NAFLD).Methods: A total of 10,019 participants from the UK Biobank imaging substudy were included and analyzed for visceral and abdominal subcutaneous adipose tissue, muscle fat infiltration, and liver fat. An adaption of the k-nearest neighbors algorithm was applied to the imaging variable space to calculate individualized CHD and T2D propensity and explore metabolic sub-phenotyping within obesity and NAFLD.

Results: The ranges of CHD and T2D propensity for the whole cohort were 1.3% to 58.0% and 0.6% to 42.0%, respectively. The diagnostic performance, area under the receiver operating characteristic curve (95% CI), using disease propensities for CHD and T2D detection was 0.75 (0.73-0.77) and 0.79 (0.77-0.81). Exploring individualized disease propensity, CHD phenotypes, T2D phenotypes, comorbid phenotypes, and metabolically healthy phenotypes were found within obesity and NAFLD.

Conclusions: The adaptive k-nearest neighbors algorithm allowed an individual-centric assessment of each individual’s metabolic phenotype moving beyond discrete categorizations of body composition. Within obesity and NAFLD, this may help in identifying which comorbidities a patient may develop and conse- quently enable optimization of treatment.

Ort, förlag, år, upplaga, sidor
John Wiley & Sons, 2019
Nyckelord
Body composition, magnetic resonance imaging, UK Biobank, coronary heart disease, type two diabetes
Nationell ämneskategori
Medicinsk bildbehandling Endokrinologi och diabetes Kardiologi Radiologi och bildbehandling
Identifikatorer
urn:nbn:se:liu:diva-156958 (URN)10.1002/oby.22510 (DOI)000472669700022 ()31094076 (PubMedID)
Anmärkning

Funding agencies: Pfizer Inc.

Tillgänglig från: 2019-05-16 Skapad: 2019-05-16 Senast uppdaterad: 2019-07-19Bibliografiskt granskad
Karlsson, A., Peolsson, A., Elliott, J., Romu, T., Ljunggren, H., Borga, M. & Dahlqvist Leinhard, O. (2019). The relation between local and distal muscle fat infiltration in chronic whiplash using magnetic resonance imaging.. PLoS ONE, 14(12), Article ID e0226037.
Öppna denna publikation i ny flik eller fönster >>The relation between local and distal muscle fat infiltration in chronic whiplash using magnetic resonance imaging.
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2019 (Engelska)Ingår i: PLoS ONE, E-ISSN 1932-6203, Vol. 14, nr 12, artikel-id e0226037Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The objective of this study was to investigate the relationship between fat infiltration in the cervical multifidi and fat infiltration measured in the lower extremities to move further into understanding the complex signs and symptoms arising from a whiplash trauma. Thirty-one individuals with chronic whiplash associated disorders, stratified into a mild/moderate group and a severe group, together with 31 age- and gender matched controls were enrolled in this study. Magnetic resonance imaging was used to acquire a 3D volume of the neck and of the whole-body. Cervical multifidi was used to represent muscles local to the whiplash trauma and all muscles below the hip joint, the lower extremities, were representing widespread muscles distal to the site of the trauma. The fat infiltration was determined by fat fraction in the segmented images. There was a linear correlation between local and distal muscle fat infiltration (p<0.001, r2 = 0.28). The correlation remained significant when adjusting for age and WAD group (p = 0.009) as well as when correcting for age, WAD group and BMI (p = 0.002). There was a correlation between local and distal muscle fat infiltration within the severe WAD group (p = 0.0016, r2 = 0.69) and in the healthy group (p = 0.022, r2 = 0.17) but not in the mild/moderate group (p = 0.29, r2 = 0.06). No significant differences (p = 0.11) in the lower extremities' MFI between the different groups were found. The absence of differences between the groups in terms of lower extremities' muscle fat infiltration indicates that, in this particular population, the whiplash trauma has a local effect on muscle fat infiltration rather than a generalized.

Ort, förlag, år, upplaga, sidor
San Francisco, CA, United States: Public Library of Science, 2019
Nationell ämneskategori
Sjukgymnastik
Identifikatorer
urn:nbn:se:liu:diva-164543 (URN)10.1371/journal.pone.0226037 (DOI)31805136 (PubMedID)2-s2.0-85076115188 (Scopus ID)
Tillgänglig från: 2020-03-23 Skapad: 2020-03-23 Senast uppdaterad: 2020-05-07Bibliografiskt granskad
Borga, M., West, J., Bell, J., Harvey, N., Romu, T., Heymsfield, S. & Dahlqvist Leinhard, O. (2018). Advanced body composition assessment: From body mass index to body composition profiling. Journal of Investigative Medicine, 66, 887-895
Öppna denna publikation i ny flik eller fönster >>Advanced body composition assessment: From body mass index to body composition profiling
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2018 (Engelska)Ingår i: Journal of Investigative Medicine, ISSN 1081-5589, E-ISSN 1708-8267, Vol. 66, s. 887-895Artikel, forskningsöversikt (Refereegranskat) Published
Abstract [en]

This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative magnetic resonance imaging (MRI). Earlier published studies of this method are summarized, and a previously un-published validation study, based on 4.753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy x-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRI show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 % and 4.6 % for fat (computed from AT) and lean tissue respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of more than 20 %. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat in combination with rapid scanning protocols and efficient image analysis tools make quantitative MRI a powerful tool for advanced body composition assessment. 

Ort, förlag, år, upplaga, sidor
BMJ Publishing Group Ltd, 2018
Nyckelord
Body-composition-analysis, MRI, UK Biobank
Nationell ämneskategori
Radiologi och bildbehandling Medicinsk bildbehandling
Identifikatorer
urn:nbn:se:liu:diva-145624 (URN)10.1136/jim-2018-00072 (DOI)000435456400001 ()29581385 (PubMedID)
Tillgänglig från: 2018-03-08 Skapad: 2018-03-08 Senast uppdaterad: 2019-06-14Bibliografiskt granskad
Andersson, T., Borga, M. & Dahlqvist Leinhard, O. (2018). Geodesic registration for interactive atlas-based segmentation using learned multi-scale anatomical manifolds. Pattern Recognition Letters, 112, 340-345
Öppna denna publikation i ny flik eller fönster >>Geodesic registration for interactive atlas-based segmentation using learned multi-scale anatomical manifolds
2018 (Engelska)Ingår i: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 112, s. 340-345Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Atlas-based segmentation is often used to segment medical image regions. For intensity-normalized data, the quality of these segmentations is highly dependent on the similarity between the atlas and the target under the used registration method. We propose a geodesic registration method for interactive atlas-based segmentation using empirical multi-scale anatomical manifolds. The method utilizes unlabeled images together with the labeled atlases to learn empirical anatomical manifolds. These manifolds are defined on distinct scales and regions and are used to propagate the labeling information from the atlases to the target along anatomical geodesics. The resulting competing segmentations from the different manifolds are then ranked according to an image-based similarity measure. We used image volumes acquired using magnetic resonance imaging from 36 subjects. The performance of the method was evaluated using a liver segmentation task. The result was then compared to the corresponding performance of direct segmentation using Dice Index statistics. The method shows a significant improvement in liver segmentation performance between the proposed method and direct segmentation. Furthermore, the standard deviation in performance decreased significantly. Using competing complementary manifolds defined over a hierarchy of region of interests gives an additional improvement in segmentation performance compared to the single manifold segmentation.

Ort, förlag, år, upplaga, sidor
Elsevier, 2018
Nyckelord
Atlas-based segmentation, Image registration, Manifold learning, MRI
Nationell ämneskategori
Medicinsk bildbehandling
Identifikatorer
urn:nbn:se:liu:diva-148304 (URN)10.1016/j.patrec.2018.04.037 (DOI)000443950800049 ()
Tillgänglig från: 2018-06-07 Skapad: 2018-06-07 Senast uppdaterad: 2019-06-14Bibliografiskt granskad
Agebratt, C., Ström, E., Romu, T., Dahlqvist Leinhard, O., Borga, M., Leandersson, P. & Nyström, F. H. (2016). A Randomized Study of the Effects of Additional Fruit and Nuts Consumption on Hepatic Fat Content, Cardiovascular Risk Factors and Basal Metabolic Rate. PLoS ONE, 11(1), e0147149
Öppna denna publikation i ny flik eller fönster >>A Randomized Study of the Effects of Additional Fruit and Nuts Consumption on Hepatic Fat Content, Cardiovascular Risk Factors and Basal Metabolic Rate
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2016 (Engelska)Ingår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, nr 1, s. e0147149-Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Background

Fruit has since long been advocated as a healthy source of many nutrients, however, the high content of sugars in fruit might be a concern.

Objectives

To study effects of an increased fruit intake compared with similar amount of extra calories from nuts in humans.

Methods

Thirty healthy non-obese participants were randomized to either supplement the diet with fruits or nuts, each at +7 kcal/kg bodyweight/day for two months. Major endpoints were change of hepatic fat content (HFC, by magnetic resonance imaging, MRI), basal metabolic rate (BMR, with indirect calorimetry) and cardiovascular risk markers.

Results

Weight gain was numerically similar in both groups although only statistically significant in the group randomized to nuts (fruit: from 22.15±1.61 kg/m2 to 22.30±1.7 kg/m2, p = 0.24 nuts: from 22.54±2.26 kg/m2 to 22.73±2.28 kg/m2, p = 0.045). On the other hand BMR increased in the nut group only (p = 0.028). Only the nut group reported a net increase of calories (from 2519±721 kcal/day to 2763±595 kcal/day, p = 0.035) according to 3-day food registrations. Despite an almost three-fold reported increased fructose-intake in the fruit group (from 9.1±6.0 gram/day to 25.6±9.6 gram/day, p<0.0001, nuts: from 12.4±5.7 gram/day to 6.5±5.3 gram/day, p = 0.007) there was no change of HFC. The numerical increase in fasting insulin was statistical significant only in the fruit group (from 7.73±3.1 pmol/l to 8.81±2.9 pmol/l, p = 0.018, nuts: from 7.29±2.9 pmol/l to 8.62±3.0 pmol/l, p = 0.14). Levels of vitamin C increased in both groups while α-tocopherol/cholesterol-ratio increased only in the fruit group.

Conclusions

Although BMR increased in the nut-group only this was not linked with differences in weight gain between groups which potentially could be explained by the lack of reported net caloric increase in the fruit group. In healthy non-obese individuals an increased fruit intake seems safe from cardiovascular risk perspective, including measurement of HFC by MRI.

Nyckelord
Fruits Basal metabolic rate measurement Fats Vitamin C Fructoses Diet Fatty liver Magnetic resonance imaging
Nationell ämneskategori
Endokrinologi och diabetes
Identifikatorer
urn:nbn:se:liu:diva-124605 (URN)10.1371/journal.pone.0147149 (DOI)000368529100062 ()26788923 (PubMedID)
Anmärkning

Funding agencies: County Council of Ostergotland; Linkoping University, Department of Medical and Health Sciences

Tillgänglig från: 2016-02-05 Skapad: 2016-02-05 Senast uppdaterad: 2019-06-14
Romu, T., Camilla, V., Dahlqvist Leinhard, O., Tallberg, J., Dahlström, N., Persson, A., . . . Nyström, F. (2016). A randomized trial of cold-exposure on energy expenditure and supraclavicular brown adipose tissue volume in humans. Metabolism: Clinical and Experimental, 65(6), 926-934
Öppna denna publikation i ny flik eller fönster >>A randomized trial of cold-exposure on energy expenditure and supraclavicular brown adipose tissue volume in humans
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2016 (Engelska)Ingår i: Metabolism: Clinical and Experimental, ISSN 0026-0495, E-ISSN 1532-8600, Vol. 65, nr 6, s. 926-934Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Objective

To study if repeated cold-exposure increases metabolic rate and/or brown adipose tissue (BAT) volume in humans when compared with avoiding to freeze.

Design

Randomized, open, parallel-group trial.

Methods

Healthy non-selected participants were randomized to achieve cold-exposure 1 hour/day, or to avoid any sense of feeling cold, for 6 weeks. Metabolic rate (MR) was measured by indirect calorimetry before and after acute cold-exposure with cold vests and ingestion of cold water. The BAT volumes in the supraclavicular region were measured with magnetic resonance imaging (MRI).

Results

Twenty-eight participants were recruited, 12 were allocated to controls and 16 to cold-exposure. Two participants in the cold group dropped out and one was excluded. Both the non-stimulated and the cold-stimulated MR were lowered within the group randomized to avoid cold (MR at room temperature from 1841 ± 199 kCal/24 h to 1795 ± 213 kCal/24 h, p = 0.047 cold-activated MR from 1900 ± 150 kCal/24 h to 1793 ± 215 kCal/24 h, p = 0.028). There was a trend towards increased MR at room temperature following the intervention in the cold-group (p = 0.052). The difference between MR changes by the interventions between groups was statistically significant (p = 0.008 at room temperature, p = 0.032 after cold-activation). In an on-treatment analysis after exclusion of two participants that reported ≥ 8 days without cold-exposure, supraclavicular BAT volume had increased in the cold-exposure group (from 0.0175 ± 0.015 l to 0.0216 ± 0.014 l, p = 0.049).

Conclusions

We found evidence for plasticity in metabolic rate by avoiding to freeze compared with cold-exposure in a randomized setting in non-selected humans.

Ort, förlag, år, upplaga, sidor
Elsevier, 2016
Nyckelord
Brown adipose tissue; Cold exposure; Magnetic resonance imaging; Metabolic rate
Nationell ämneskategori
Farmakologi och toxikologi
Identifikatorer
urn:nbn:se:liu:diva-128200 (URN)10.1016/j.metabol.2016.03.012 (DOI)000376145100013 ()27173471 (PubMedID)
Forskningsfinansiär
Knut och Alice Wallenbergs Stiftelse
Anmärkning

Funding agencies: Linkoping University; County Council of Ostergotland (LUA-ALF), Sweden; Swedish Research Council [2013-4466, 2012-1652, 2014-2516]; Knut and Alice Wallenberg Foundation; Sahlgrenskas University Hospital (LUA-ALF); European Union grant (DIABAT) [HEALTH-F2-

Tillgänglig från: 2016-05-22 Skapad: 2016-05-22 Senast uppdaterad: 2019-06-14
West, J., Dahlqvist Leinhard, O., Romu, T., Thomas, E. L., Borga, M. & Bell, J. (2016). Body Composition Analysis In Large Scale Population Studies using Dixon Water-Fat Separated Imaging. In: : . Paper presented at International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016.
Öppna denna publikation i ny flik eller fönster >>Body Composition Analysis In Large Scale Population Studies using Dixon Water-Fat Separated Imaging
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2016 (Engelska)Konferensbidrag, Poster (med eller utan abstract) (Övrigt vetenskapligt)
Abstract [en]

Water-fat separated MRI, based on Dixon imaging techniques enables high soft-tissue contrast and the separation of fat and muscle compartments. This study investigate the feasibility and success-rate of one recently described method for MR data-acquisition and body composition analysis, in a large-scale population study. The first 1,000 subjects in the UK Biobank imaging cohort were scanned, quality assured and included for body composition analysis. Volumes of visceral adipose tissue, abdominal subcutaneous tissue, and thigh muscles were calculated. This study showed that the rapid MR-examination was sufficiently robust to achieve very high success-rate for body composition analysis. 

Nationell ämneskategori
Radiologi och bildbehandling Medicinsk bildbehandling
Identifikatorer
urn:nbn:se:liu:diva-128987 (URN)
Konferens
International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016
Tillgänglig från: 2016-06-07 Skapad: 2016-06-07 Senast uppdaterad: 2019-06-14Bibliografiskt granskad
Peterson, P., Romu, T., Brorson, H., Dahlqvist Leinhard, O. & Mansson, S. (2016). Fat Quantification in Skeletal Muscle Using Multigradient-Echo Imaging: Comparison of Fat and Water References. Journal of Magnetic Resonance Imaging, 43(1), 203-212
Öppna denna publikation i ny flik eller fönster >>Fat Quantification in Skeletal Muscle Using Multigradient-Echo Imaging: Comparison of Fat and Water References
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2016 (Engelska)Ingår i: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 43, nr 1, s. 203-212Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Purpose: To investigate the precision, accuracy, and repeatability of water/fat imaging-based fat quantification in muscle tissue using a large flip angle (FA) and a fat reference for the calculation of the proton density fat fraction (FF). Comparison is made to a small FA water reference approach. Materials and Methods: An Intralipid phantom and both forearms of six patients suffering from lymphedema and 10 healthy volunteers were investigated at 1.5T. Two multigradient-echo sequences with eight echo times and FAs of 10 degrees and 85 degrees were acquired. For healthy volunteers, the acquisition of the right arm was performed twice with repositioning. From each set, water reference FF and fat reference FF images were reconstructed and the average FF and the standard deviation were calculated within the subfascial compartment. The small FA water reference was considered the reference standard. Results: A high agreement was found between the small FA water reference and large FA fat reference methods (FF bias=0.31%). In this study, the large FA fat reference approach also resulted in higher precision (38% smaller FF standard deviation in homogenous muscle tissue), but no significant difference in repeatability between the various methods was detected (coefficient of repeatability of small FA water reference approach 0.41%). Conclusion: The precision of fat quantification in muscle tissue can be increased with maintained accuracy using a larger flip angle, if a fat reference instead of a water reference is used.

Ort, förlag, år, upplaga, sidor
WILEY-BLACKWELL, 2016
Nyckelord
fat quantification; water; fat imaging; skeletal muscle; water reference; internal fat reference
Nationell ämneskategori
Medicinsk bioteknologi Klinisk medicin
Identifikatorer
urn:nbn:se:liu:diva-125322 (URN)10.1002/jmri.24972 (DOI)000368741400019 ()26095018 (PubMedID)
Anmärkning

Funding Agencies|Research Council of Southeast Sweden [FORSS-311941]; Knut and Alice Wallenberg Foundation; Stiftelsen for cancerforskning vid Onkologiska kliniken vid Universitetssjukhuset MAS; Skane County Councils Research and Development Foundation; Swedish Cancer Society; Allmanna Sjukhusets i Malmo Stiftelse for bekampande av cancer

Tillgänglig från: 2016-02-24 Skapad: 2016-02-19 Senast uppdaterad: 2019-06-14
Haufe, W., Hooker, J., Schlein, A., Szeverenyi, N., Borga, M., Dahlqvist Leinhard, O., . . . Sirlin, C. B. (2016). Feasibility of an automated tissue segmentation technique in a longitudinal weight loss study. In: : . Paper presented at International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016.
Öppna denna publikation i ny flik eller fönster >>Feasibility of an automated tissue segmentation technique in a longitudinal weight loss study
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2016 (Engelska)Konferensbidrag, Poster (med eller utan abstract) (Övrigt vetenskapligt)
Abstract [en]

To address the problems inherent in manual methods, a novel, semi-automated tissue segmentation image analysis technique has been developed. The purpose of this study was to demonstrate the feasibility and describe preliminary observations of applying this technique to quantify and monitor longitudinal changes in abdominal adipose tissue and thigh muscle volume in obese adults during weight loss. Abdominal adipose tissue and thigh muscle volume decreased during weight loss. As a proportion of body weight, adipose tissue volumes decreased during weight loss. By comparison, as a proportion of body weight, thigh muscle volume increased.

Nationell ämneskategori
Radiologi och bildbehandling Medicinsk bildbehandling
Identifikatorer
urn:nbn:se:liu:diva-128990 (URN)
Konferens
International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016
Tillgänglig från: 2016-06-07 Skapad: 2016-06-07 Senast uppdaterad: 2019-06-14Bibliografiskt granskad
Middleton, M., Haufe, W., Hooker, J., Borga, M., Dahlqvist Leinhard, O., Romu, T., . . . Sirlin, C. B. (2016). Repeatability and accuracy of a novel, MRI-based, semi-automated analysis method for quantifying abdominal adipose tissue and thigh muscle volumes. In: : . Paper presented at International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016.
Öppna denna publikation i ny flik eller fönster >>Repeatability and accuracy of a novel, MRI-based, semi-automated analysis method for quantifying abdominal adipose tissue and thigh muscle volumes
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2016 (Engelska)Konferensbidrag, Poster (med eller utan abstract) (Övrigt vetenskapligt)
Abstract [en]

Current MRI methods to estimate body tissue compartment volumes rely on manual segmentation, which is laborious, expensive, not widely available outside specialized centers, and not standardized. To address these concerns, a novel, semi-automated image analysis method has been developed. Image acquisition takes about six minutes, and uses widely available MRI pulse sequences. We found that this method permits comprehensive body compartment analysis and provides high repeatability and accuracy. Current and future clinical and drug development studies may benefit from this methodology, as may clinical settings where monitoring change in these measures is desired.

Nationell ämneskategori
Radiologi och bildbehandling Medicinsk bildbehandling
Identifikatorer
urn:nbn:se:liu:diva-128988 (URN)
Konferens
International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016
Tillgänglig från: 2016-06-07 Skapad: 2016-06-07 Senast uppdaterad: 2019-06-14Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-6189-0807

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