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LUCI- Lund University breast Cancer Imaging group – 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 are l
https://www.luci.lu.se/en/about-us - 2026-04-21
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 - 2026-04-21
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 - 2026-04-21
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 - 2026-04-21
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 - 2026-04-21
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 - 2026-04-21
We investigate the possibilities to use artificial intelligence (AI) to improve breast cancer screening with either standard digital mammography (DM) or digital breast tomosynthesis (DBT), which can be seen as a kind of 3D mammography. Today DM is used for breast cancer screening. In order to detect as many cancers as possible, each image is read by two specialised breast radiologists. DBT can fin
Project description: DBTMI is motivated by a challenge of underdiagnosis and false positives (FPs) in breast cancer healthcare. Mammography screening reduces mortality by early cancer detection. It is limited by FPs and unnecessary biopsies, with related complications, anxiety, and burden on the healthcare system. MI maps local pressure on the breast compressed during x-ray exam. Increased pressur
https://www.luci.lu.se/en/simultaneous-digital-breast-tomosynthesis-dbt-and-mechanical-imaging-mi-dbtmi - 2026-04-21
Project description: Virtual Clinical Trials (VCTs) in medical imaging have been used to design, evaluate, and optimize imaging systems; to prototype clinical trials; and to assist with regulatory approval. VCTs are used as a rapid and cost-effective alternative to conventional clinical trials, allowing researchers to answer fundamental questions using in-silico simulations. My team of researchers
https://www.luci.lu.se/en/virtual-clinical-trials-vcts-medical-imaging - 2026-04-21
Project description: Women with a high risk for breast cancer are defined as having (i) a life-time risk of a new primary breast cancer >20%, based on the prevalence of hereditary gene mutation (BRCA1, BRCA2 etc.), (ii) a positive family history, or (iii) previously diagnosed breast cancer before 50 years of age. High-risk patients have a higher incidence of breast cancer, with lesions appearing e
https://www.luci.lu.se/en/evaluation-high-risk-screening-breast-cancer-south-swedish-health-care-region - 2026-04-21
The purpose of this project is to develop and evaluate three non-invasive examination methods for the diagnosis of breast tumors, namely photoacoustics, diffuse reflectance spectroscopy and ultrasound-based tissue characteristics. It is our hope that the methods will be used for primary diagnostic of breast cancer, planning of breast cancer surgery but also to evaluate the given preoperative cance
https://www.luci.lu.se/en/spectroscopy-and-photoacoustics-noninvasive-diagnosis-breast-cancer-optical-methods - 2026-04-21
Technology development pushes us to find new ways of working, also in breast screening. Breast screening has been organized in the same manner since the 1980's, apart from the switch from analogue to digital mammography (DM) in late 1990's, which was a huge practical leap forward. In Sweden and many northern European countries double-reading is practiced, where two breast radiologists independentl
https://www.luci.lu.se/en/building-malmo-breast-imaging-database-evaluation-artificial-intelligence - 2026-04-21
This project aims to evaluate the use of mechanical imaging in breast cancer screening with mammography. Mechanical imaging can be used to measure the stiffness of the breast and identify local differences in stress at the surface of the breast. More malignant or aggressive tumours are more stiff compared to benign lesions, and that information has shown in previous studies that the technique coul
https://www.luci.lu.se/en/evaluation-mechanical-imaging-complement-breast-radiography - 2026-04-21
Mammography screening aims at reducing breast cancer mortality through early detection. Breast cancers that are missed or masked during the regular screening are often detected at later stages. Understanding the biology of different types of breast cancer in relation to the mammographic features will aid in early detection consequently improving the patient prognosis. To formulate radiological ris
Overall Aim: The overarching aim of the dissertation project is to develop a person-centred decision aid to support women in making informed decisions about participation in future breast cancer screening in Sweden. Emerging innovations such as artificial intelligence, new diagnostic methods, and research on individualised cancer screening are expected to significantly impact future screening prac
NEST – Novelty, Excellence, Synergy, and Teams project, funded by DDLS, SciLifeLab and Wallenberg National Program for Data-Driven Life Science, and WASP, Wallenberg AI, Autonomous Systems and Software Program BACKGROUND Breast cancer is a heterogeneous disease. Multimodality: mammography, histopathology, RNA sequencing, and health registries. Data acquired at different stages is analyzed separa
The doctoral project is a mixed-methods research programme focusing on psychosocial consequences of surveillance and diagnostic work-up in emerging cancer screening contexts in Sweden, particularly within cardiopulmonary screening (SCAPIS2) and organised prostate cancer testing (OPT). The project aims to generate knowledge that can support the balanced implementation of cancer screening programmes
