Basement membrane proteins in various arterial beds from individuals with and without type 2 diabetes mellitus: a proteome study

Autor: Lasse Bach Steffensen, Xenia Emilie Sinding Iversen, Rasmus Søgaard Hansen, Pia Søndergaard Jensen, Anne-Sofie Faarvang Thorsen, Jes Sanddal Lindholt, Lars Peter Schødt Riber, Hans Christian Beck, Lars Melholt Rasmussen

Publikováno v: Cardiovascular Diabetology, Vol 20, Iss 1, Pp 1-11 (2021)

Abstract Background Basement membrane (BM) accumulation is a hallmark of micro-vessel disease in diabetes mellitus (DM). We previously reported marked upregulation of BM components in internal thoracic arteries (ITAs) from type 2 DM (T2DM) patients b

Externí odkaz: https://doaj.org/article/9b6a32fce91040228118855279c47007

Retinal Vascular Fractal Dimensions and Their Association with Macrovascular Cardiac Disease

Autor: Jo G. R. De Mey, Maria Bloksgaard, Lars Melholt Rasmussen, Pia Søndergaard Jensen, Sebastian Dinesen, Jakob Grauslund, Søren Leer Blindbæk, Jes S. Lindholt

Publikováno v: Ophthalmic Research, 64(4), 561-566. S. Karger AG
Dinesen, S, Jensen, P S, Bloksgaard, M, Blindbæk, S L, De Mey, J G R, Rasmussen, L M, S Lindholt, J & Grauslund, J 2021, ' Retinal vascular fractal dimensions and their association with macrovascular cardiac disease ', Ophthalmic Research, vol. 64, no. 4, pp. 561-566 . https://doi.org/10.1159/000514442

Introduction: As the only part of the human vasculature, the retina is available for direct, noninvasive inspection. Retinal vascular fractal dimension (DF) is a method to measure the structure of the retinal vascular tree, with higher noninteger val

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::502eb45be67bd587f6fdfff599a7da36
https://doi.org/10.1159/000514442

Sex differences in aortic valve calcification in severe aortic valve stenosis: association between computer tomography assessed calcification and valvular calcium concentrations

Autor: Louise Linde, Jordi S. Dahl, Kristian Laursen, Lars Melholt Rasmussen, Jacob E. Møller, Pia Søndergaard Jensen, Rasmus Carter-Storch, Axel Cosmus Pyndt Diederichsen, Nicolaj Lyhne Christensen, Kristian A. Øvrehus

Publikováno v: Linde, L, Carter-Storch, R, Christensen, N L, Øvrehus, K A, Diederichsen, A C P, Laursen, K, Jensen, P S, Rasmussen, L M, Møller, J E & Dahl, J S 2021, ' Sex differences in aortic valve calcification in severe aortic valve stenosis : association between computer tomography assessed calcification and valvular calcium concentrations ', European Heart Journal Cardiovascular Imaging, vol. 22, no. 5, pp. 581-588 . https://doi.org/10.1093/ehjci/jeaa096

Aims The aims of this study were to investigate the correlation and sex differences between total valve calcium, valve calcium concentration, and aortic valve calcification (AVC) in explanted valves from patients with severe aortic valve stenosis und

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d16112e03ac4d633a8e20ec000b123b7
https://doi.org/10.1093/ehjci/jeaa096

Artificial intelligence assisted compositional analyses of human aortic aneurysms ex vivo

Autor: Maria Bloksgaard, Bjarne Thorsted, Lisette Bachmann Bjerregaard, Pia Søndergaard Jensen, Lars Melholt Rasmussen, Jes Lindholt

Publikováno v: Bloksgaard, M, Thorsted, B, Bjerregaard, L B, Jensen, P S, Rasmussen, L M & Lindholt, J S 2021, ' Artificial intelligence assisted compositional analyses of human aortic aneurysms ex vivo ', Vascular Biology 2021, 25/10/2021-29/10/2021 .
University of Southern Denmark

Histological compositional information in relation to biomechanical parameters may provide essential information for developing models for human aortic aneurysm (AA) rupture prediction. We hypothesize that artificial intelligence can support and impr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0985918dc76762bfb93d7cd64a1b2c5f
https://portal.findresearcher.sdu.dk/da/publications/bd880a23-f8b4-456a-b787-32635cc895a8

Computed tomography scan based prediction of the vulnerable carotid plaque

Autor: Lars Melholt Rasmussen, Pia Søndergaard Jensen, Hadi Mahmoud Haider Diab, Stevo Duvnjak, Jes S. Lindholt, Axel Cosmus Pyndt Diederichsen

Publikováno v: BMC Medical Imaging, Vol 17, Iss 1, Pp 1-8 (2017)
BMC Medical Imaging
Diab, H M H, Rasmussen, L M, Duvnjak, S, Diederichsen, A, Jensen, P S & Lindholt, J S 2017, ' Computed tomography scan based prediction of the vulnerable carotid plaque ', B M C Medical Imaging, vol. 17, 61 . https://doi.org/10.1186/s12880-017-0233-5

BACKGROUND: Primary to validate a commercial semi-automated computed tomography angiography (CTA) -software for vulnerable plaque detection compared to histology of carotid endarterectomy (CEA) specimens and secondary validating calcifications scores

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2c54c1b497e521981c5c188d4216e24
http://link.springer.com/article/10.1186/s12880-017-0233-5