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In Vivo Microstructure Imaging in Oropharyngeal Squamous Cell Carcinoma Using the Random Walk With Barriers Model.

Yue Cao1,2,3, Siamak Nejad Davarani1, Daekeun You1

  • 1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.

Journal of Magnetic Resonance Imaging : JMRI
|June 27, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces time-dependent diffusion imaging using the short-time-limit random walk with barriers model (STL-RWBM) to assess early cancer response to therapy. The tumor volume-to-surface area ratio (V/S) correlated with clinical stages in oropharyngeal/oral cavity squamous cell carcinomas.

Keywords:
cancer imagingmicrostructure imagingoropharyngeal squamous cell carcinomaoscillating gradient spin echosurface-to-volume ratiotime-dependent diffusion images

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Area of Science:

  • Oncology
  • Radiology
  • Biophysics

Background:

  • Apparent diffusion coefficient (ADC) is limited in detecting tumor microstructure and therapy-induced cellular changes.
  • Novel diffusion imaging techniques are needed for precise quantification of tumor characteristics and treatment response.

Purpose of the Study:

  • To investigate time-dependent diffusion imaging with the short-time-limit random walk with barriers model (STL-RWBM).
  • To quantify microstructure parameters and early cancer cellular response to therapy in oropharyngeal/oral cavity squamous cell carcinomas (OPSCC/OCSCC).

Main Methods:

  • Prospective study involving 27 patients with OPSCC/OCSCC undergoing MRI before and during chemoradiation therapy (CRT).
  • Utilized 3-T MRI with oscillating gradient spine echo (OGSE) and pulse gradient spin echo (PGSE) sequences.
  • Applied STL-RWBM to estimate free diffusion coefficient (D0), volume-to-surface area ratio (V/S), and cell membrane permeability (κ).

Main Results:

  • Derived effective diffusion times impacted V/S and κ estimations by 40%.
  • Tumor V/S values significantly correlated with clinical stages (r=0.47) in OPSCC/OCSCC.
  • Early CRT response showed a significant increase in D0 (14%, P=0.03) and non-significant increases in κ and V/S.

Conclusions:

  • Effective diffusion time estimation is crucial for accurate microstructure parameter quantification.
  • Tumor V/S is a potential imaging biomarker correlated with clinical stage in OPSCC/OCSCC.
  • Time-dependent diffusion imaging with STL-RWBM shows promise for monitoring early therapeutic effects.