Loading…

Detection of Treatment Response in Triple‐Negative Breast Tumors to Paclitaxel Using MRI Cell Size Imaging

Background Breast cancer treatment response evaluation using the response evaluation criteria in solid tumors (RECIST) guidelines, based on tumor volume changes, has limitations, prompting interest in novel imaging markers for accurate therapeutic effect determination. Purpose To use MRI‐measured ce...

Full description

Saved in:
Bibliographic Details
Published in:Journal of magnetic resonance imaging 2024-02, Vol.59 (2), p.575-584
Main Authors: Jiang, Xiaoyu, McKinley, Eliot T., Xie, Jingping, Gore, John C., Xu, Junzhong
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background Breast cancer treatment response evaluation using the response evaluation criteria in solid tumors (RECIST) guidelines, based on tumor volume changes, has limitations, prompting interest in novel imaging markers for accurate therapeutic effect determination. Purpose To use MRI‐measured cell size as a new imaging biomarker for assessing chemotherapy response in breast cancer. Study Type Longitudinal; animal model. Study Population Triple‐negative human breast cancer cell (MDA‐MB‐231) pellets (4 groups, n = 7) treated with dimethyl sulfoxide (DMSO) or 10 nM of paclitaxel for 24, 48, and 96 hours, and 29 mice with MDA‐MB‐231 tumors in right hind limbs treated with paclitaxel (n = 16) or DMSO (n = 13) twice weekly for 3 weeks. Field Strength/Sequence Oscillating gradient spin echo and pulsed gradient spin echo sequences at 4.7 T. Assessment MDA‐MB‐231 cells were analyzed using flowcytometry and light microscopy to assess cell cycle phases and cell size distribution. MDA‐MB‐231 cell pellets were MR imaged. Mice were imaged weekly, with 9, 6, and 14 being sacrificed for histology after MRI at weeks 1, 2, and 3, respectively. Microstructural parameters of tumors/cell pellets were derived by fitting diffusion MRI data to a biophysical model. Statistical Tests One‐way ANOVA compared cell sizes and MR‐derived parameters between treated and control samples. Repeated measures 2‐way ANOVA with Bonferroni post‐tests compared temporal changes in MR‐derived parameters. A P‐value
ISSN:1053-1807
1522-2586
1522-2586
DOI:10.1002/jmri.28774