Radiomics and visual analysis for predicting success of transplantation of heterotopic glioblastoma in mice with MRI.

ABSTRACT:

Background

Quantifying tumor growth and treatment response noninvasively poses a challenge to all experimental tumor models. The aim of our study was, to assess the value of quantitative and visual examination and radiomic feature analysis of high-resolution MR images of heterotopic glioblastoma xenografts in mice to determine tumor cell proliferation (TCP).

Methods

Human glioblastoma cells were injected subcutaneously into both flanks of immunodeficient mice and followed up on a 3 T MR scanner. Volumes and signal intensities were calculated. Visual assessment of the internal tumor structure was based on a scoring system. Radiomic feature analysis was performed using MaZda software. The results were correlated with histopathology and immunochemistry.

Results

21 tumors

SUBMITTER: Wagner S 

PROVIDER: S-EPMC11341603 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature