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Forskningsartiklar1. Pan M, Al-Sharify D, Engström G, Ahlqvist E, Lotta L, Nilsson J, Goncalves I, Sun J, Edsfeldt A. Genetic Susceptibility to Diabetes Subtypes and Risk of Developing Coronary Artery Disease. Diabetes Care. 2026;49(5):843-51. DOI:10.2337/dc25-17112. Asplund O, Thangam M, Prasad RB, Lejonberg C, Ekstrom O, Hakaste L, Smith JG, Rosengren
https://www.andis.lu.se/publikationer - 2026-06-25
ANDIS - Alla Nya Diabetiker i Skåne ANDIS historia ANDIS är en regional forskningsinfrastruktur med målsättning att registrera alla nya fall av diabetes i Skåne. Genom att göra det hoppas man på att bättre kunna diagnostisera och behandla olika typer av diabetes. ANDIS startade 2008 och registrerar ca 1500-2000 nya deltagare varje år. Blanketter Här hittar du ansökningsblankett. Denna skickas in t
https://www.andis.lu.se/startsida - 2026-06-25
Register som idag används för att studera sjukdomsförlopp och riskfaktorer(Fler kan tillkomma efter tillstånd från Etikprövningsmyndigheten)Nationella kvalitetsregisterNationella Diabetesregistret (NDR)SWEDEHEARTSocialstyrelsenPatientregistretLäkemedelsregistretDödsorsaksregistretMedicinska födelseregistretRegion SkåneAdministrativa hälsodataregister samt journalsystem för privata och offentliga v
https://www.andis.lu.se/register - 2026-06-25
Målsättning Att registrera alla nya fall av diabetes i Skåne för att 1) beskriva spektrum av diabetiska undergrupper, 2) undersöka huruvida sjukdomens natur påverkar förlopp och prognos, och 3) utvärdera olika behandlingsalternativ på sjukdomsförlopp och prognos i olika diabetiska undergrupper. Primär vetenskaplig frågeställning Kan en bättre karaktärisering av diabetessjukdomen med hjälp av klini
https://www.andis.lu.se/projektbeskrivning - 2026-06-25
Remiss Adress för mottagare av prover är ändrad till:ServicebyggnadenLaboratoriemedicin BasJan Waldenströms gata 77, plan 3205 02 MalmöTel. 040 331540Vid behov av nya remisser, vänligen kontakta Gabriella Gremsperger på gabriella [dot] gremsperger [at] med [dot] lu [dot] se Forskningspersonsinformation Forskningspersonsinformation ANDIS version 2025-06-03.pdf
https://www.andis.lu.se/provtagning - 2026-06-25
Projektledare, PI, ansvarig forskareEmma Ahlqvist, PhDE-mail: emma [dot] ahlqvist [at] med [dot] lu [dot] seProjektledare, medicinskt ansvarigAnders Rosengren, PhDE-mail: anders [dot] rosengren [at] med [dot] lu [dot] se (anders[dot]rosengren[at]med[dot]lu[dot]se)Projektledare 2008-2012 samt medlem i styrgruppen 2012-2023Mozhgan Dorkhan, PhdE-mail: mozhgan [dot] dorkan [at] gmail [dot] com (mozhga
https://www.andis.lu.se/ledning-och-kontakt - 2026-06-25
Mer information om diabetestyper.
https://www.andis.lu.se/diabetestyper - 2026-06-25
Info om olika understudier kommer att publiceras här.
https://www.andis.lu.se/understudier - 2026-06-25
Nedan lista över deltagande enheter inom ANDIS. Achima Care Ekeby vårdcentral Achima Care Roslunda vårdcentral ÄngelholmBellevue VårdcentralBerga Läkarhus HelsingborgBjärreds VårdcentralBlomman Vårdcentral Sofielund MöBrahehälsan EslövBrahehälsan LöberödBåstad-Bjäre Läkarpraktik GrevieCapio Vårdcentral BorrbyCapio Vårdcentral BrobyCapio Vårdcentral Bunkeflo HyllieCapio Vårdcentral BåstadCapio Vård
https://www.andis.lu.se/vardgivare - 2026-06-25
Lund University Breast Cancer Imaging Group LUCI - Lund University Breast Cancer Imaging Group CONTACT Professor Sophia Zackrisson sophia [dot] zackrisson [at] med [dot] lu [dot] se Visiting addressDepartment of translational medicine,Diagnostic Radiology, Lund UniversityCarl Bertil Laurells gata 9205 02 Malmö
https://www.luci.lu.se/en/luci - 2026-06-25
In the project I am involved with we are trying to simulate breast and breast cancer tumours. The simulations can assist and support clinical research, by predicting treatment plans and diagnostic tools in breast cancer screening. In addition, we try to assess the growth rate of tumours in women in Sweden, in order to identify which tumours that are less aggressive and where unnecessary interventi
LUCI- Lund University breast Cancer Imaging group LUCI is an interdisciplinary research group with members covering expert areas in diagnostic radiology, radiography, medical radiation physics and engineering. Cancer imaging is a growing field with screening programs for secondary prevention through early detection and advances in therapeutics as key drivers. Since primary prevention strategies ar
https://www.luci.lu.se/en/about-us - 2026-06-25
The idea in this project is that malignant tumours can be distinguished from benign lesions and normal tissue using "mechanical imaging". Mechanical imaging of the breast is done by measuring the stress at the breast surface as the breast is compressed. Malignant tumours are generally stiffer than normal, benign breast tissue and will result in a higher stress at the breast surface. Knowing which
My research embraces a broad range of research projects for the development of person-centered radiography in cancer screening and for the standardization of diagnostic methods in medical imaging. The projects focus on the individual's perspective in health care and covers areas as follows: 1) evaluation of patient-reported outcomes in cancer screening, 2) development and validation of person-cent
In a pioneering project, we are using pressure sensors to investigate and improve breast imaging. Mechanical imaging can be described as using pressure sensors to investigate the surface pressure of a compressed object. From the surface pressure, or stress, the local stiffness can be estimated. This is both useful and convenient in breast imaging: the breast is compressed during mammography, and b
https://www.luci.lu.se/en/breast-mechanical-imaging - 2026-06-25
With a unique database of images we are investigating the use of artificial intelligence in breast imaging. Progress in Artificial Intelligence – AI – is rapid in many medical fields. In breast imaging, AI has mainly been used to improve CAD – computer assisted detection. Traditional CAD indicates suspicious areas on the mammogram, but is ineffective in screening as excessive marks distract reader
https://www.luci.lu.se/en/artificial-intelligence-breast-imaging - 2026-06-25
My name is Ann-Sofi Sjöqvist, and I am a registered radiographer, MSc and doctoral student. I work in Malmö at the Department of Medical Imaging and Physiology Skåne university Hospital and have been working with MRI since 2004. Between 2007 and 2011 I worked at Hvidovre Hospital in Denmark at the DRCMR department and there is where my research interest awoke. In Denmark I enrolled for a master pr
Women with high breast density have an increased risk of breast cancer. At the same time is mammography less effective in finding an existing cancer in these dense breasts. Mammography creates a 2D image of a 3D structure which has the potential to result in superimposing tissue, hiding lesions of interest. Tomosynthesis is an upcoming method for 3D screening with the potential of improving the ef
https://www.luci.lu.se/en/individualized-breast-cancer-screening-tomosynthesis-depending-breast-density - 2026-06-25
Increased breast density is an established strong risk factor for breast cancer. However, its prognostic potential is elusive. Some studies have reported worse outcome for women with dense breasts, while most have not found an association. Mammographic tumour appearances are related to tumour characteristics. In my first project we saw that spiculated tumour appearance is associated with favourabl
https://www.luci.lu.se/en/does-mammographic-density-and-mammographic-tumour-appearance-impact-survival-breast-cancer - 2026-06-25
My PhD project is a result of an international collaboration between Lund University and Siemens Healthineers. The focus with the project is investigating the possible benefits of synthetic mammography (SM) as supplemental imaging technique to digital breast tomosynthesis (DBT) in a screening setting. The goal of using SM is to add additional information to the radiologist and help improve decisio
https://www.luci.lu.se/en/breast-mechanical-imaging/possible-benefits-synthetic-mammography - 2026-06-25
