Fractal and multifractal analysis of PET-CT images of metastatic melanoma before and after treatment with ipilimumab
Christina-Marina Breki, Antonia Dimitrakopoulou-Strauss, Jessica, Hassel, Theoharis Theoharis, Christos Sachpekidis, Leyun Pan, Astero Provata

TL;DR
This study uses fractal and multifractal analysis of PET-CT images to evaluate metastatic melanoma patients' response to ipilimumab treatment, revealing correlations between fractal dimensions and disease progression.
Contribution
It introduces fractal and multifractal analysis as novel quantitative tools for assessing treatment outcomes in metastatic melanoma via PET-CT imaging.
Findings
Fractal dimensions decrease with worsening patient condition.
Analysis matches medical records in 20 out of 24 cases.
Multifractal spectrum supports fractal analysis results.
Abstract
PET/CT with F-18-Fluorodeoxyglucose (FDG) images of patients suffering from metastatic melanoma have been analysed using fractal and multifractal analysis to assess the impact of monoclonal antibody ipilimumab treatment with respect to therapy outcome. Our analysis shows that the fractal dimensions which describe the tracer dispersion in the body decrease consistently with the deterioration of the patient therapeutic outcome condition. In 20 out-of 24 cases the fractal analysis results match those of the medical records, while 7 cases are considered as special cases because the patients have non-tumour related medical conditions or side effects which affect the results. The decrease in the fractal dimensions with the deterioration of the patient conditions (in terms of disease progression) are attributed to the hierarchical localisation of the tracer which accumulates in the affected…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Cell Image Analysis Techniques · Computational Drug Discovery Methods
