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  1. Home
  3. Assessment Of Chemotherapy Resistance Changes In Human Colorectal Cancer Xenografts In Rats Based On Mri Histogram Features.
  1. Home
  3. Assessment Of Chemotherapy Resistance Changes In Human Colorectal Cancer Xenografts In Rats Based On Mri Histogram Features.

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Assessment of chemotherapy resistance changes in human colorectal cancer xenografts in rats based on MRI histogram

Min-Yi Wu1, Qi-Jia Han1, Zhu Ai1

  • 1Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.

Frontiers in Oncology
|February 15, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Magnetic resonance imaging (MRI) histogram features can predict early changes in colorectal cancer chemoresistance to 5-fluorouracil (5-FU). These non-invasive MRI markers correlate with resistance proteins, aiding clinical treatment decisions.

Keywords:
MRI histogram featuresResistancechemotherapyhuman colorectal cancer xenograftsrats

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Area of Science:

  • Oncology
  • Radiology
  • Biomedical Engineering

Background:

  • Colorectal cancer (CRC) chemoresistance poses a significant clinical challenge.
  • Accurate early prediction of treatment response is crucial for effective CRC management.

Purpose of the Study:

  • To evaluate the utility of magnetic resonance imaging (MRI) histogram features for assessing chemoresistance in colorectal cancer xenografts.
  • To determine if non-invasive MRI parameters can predict changes in response to 5-fluorouracil (5-FU) chemotherapy.

Main Methods:

  • Fifty colorectal cancer-bearing mice were randomized into control and 5-FU treatment groups.
  • MRI histogram features, p53 protein, and MRP1 expression were analyzed at multiple time points post-treatment.
  • Sixty repeatable MRI histogram features were extracted from T2-weighted imaging (T2WI), D, and apparent diffusion coefficient (ADC) maps.

Main Results:

  • Significant correlations were found between MRI histogram texture parameters and MRP1, a chemoresistance marker.
  • Specifically, T2WI and D image parameters at 24 hours, and ADC image parameters at 48 hours, showed positive correlations with MRP1.
  • No significant association was observed between MRI histogram features and p53 protein expression.

Conclusions:

  • MRI histogram texture parameters derived from T2WI, D, and ADC maps show promise in early prediction of 5-FU resistance in colorectal cancer.
  • These findings suggest MRI histogram analysis can provide valuable insights for guiding clinical treatment strategies.