AI models to analyze MRI scans of tumors
Prostate cancer screening faces a critical challenge due to the shortage of expert reviewers. Jonas Wallström has secured research funding to develop AI models that could offer a practical solution.
The funding, administered by the Sahlgrenska Comprehensive Cancer Center’s research council, aims to strengthen the competitiveness of cancer research at Sahlgrenska University Hospital and Sahlgrenska Academy within the strategic research plan framework.
Jonas Wallström, a senior physician specializing in abdominal radiology, conducts radiology and urology research at the Institute of Clinical Sciences. He has been awarded research funding to focus on AI model development linked to tumor progression.
How can AI contribute to cancer care?
”In this research project, we aim to utilize AI models to track tumor changes over time in men undergoing repeated MRI scans. Initially, we plan to use the model to filter out investigations without significant findings. Subsequently, we intend to employ the model to predict image changes that could indicate the development of serious cancer later on.”
Reducing overdiagnosis
How might this method be implemented in clinical practice?
”I’ve been involved in the Gothenburg 2 Screening Study for early prostate cancer detection since its start in 2015, both as a researcher and a radiologist reading MRI scans. Our findings showed that a screening algorithm combining PSA tests and magnetic resonance imaging reduces overdiagnosis of low-risk cancer by half while maintaining effective detection of clinically significant cancer,” explains Jonas Wallström.
”Managing the vast volume of images in a future screening program with a limited number of expert reviewers poses a significant challenge. We believe AI models can play a role in addressing this challenge.”
”Unique database”
How will the research be conducted practically?
”We have an extensive database of MRI scans for training algorithms, which will undergo evaluation within the ongoing screening study.”
Are there any similar examples?
”No, not precisely. Our screening examination database is unique, and as of now, I don’t know of any AI group focusing on follow-up studies,” says Jonas Wallström.
What advantages do you expect for patients in this approach?
”By supporting and aiding radiologists, high diagnostic quality can be offered to more patients, promoting equitable care. While engaged in other AI-related research projects, I’m not currently utilizing algorithms in my clinical practice.”
View a complete list of the 24 projects that have received research funding distributed through Sahlgrenska Comprehensive Cancer Center's Research Council in 2023.
This article was originally published on sahlgrenska.se