On May 26 at 11.15, Henrike Häbel will give a webinar:

Image-assisted survival analysis of stage III melanoma.

Abstract: Analysis of stained tissue images is commonly performed in cancer diagnosis and prognosis, where immunohistochemistry (IHC) is a valuable tool for characterizing cells or biomarkers of interest within the tissue. The extracted characteristics may include summaries of nuclei intensity, vessel diameter, and stained area fraction. There are usually several IHC markers available and the question arises which of them can be associated with the outcome (for example overall survival or cancer-specific survival). For the investigation of their prognostic strength, image-assisted survival analysis can be conducted, where IHC marker specific characteristics are included in a regression model along with other prognostic factors such as age, gender, and tumor specific characteristics. In this webinar, I will give a short introduction to medical image analysis and how it can be useful in image-assisted survival analysis on the example of a study on stage III melanoma. Furthermore, I will discuss the potential of analyzing the spatial distribution of the stained areas with tools from spatial statistics.

This is a collaboration with Hanna Eriksson, Karolinska Institute and Karolinska University Hospital, Solna, Sweden, Arne Östman, Karolinska Institute, Solna, Sweden and Artur Mezheyeuski, Uppsala University, Uppsala, Sweden.

The meeting will take place in Zoom, and the number to use is 61405717670, password 375071.