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In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model.

M Muge KaramanLei TangZiyu LiYu SunJia-Zheng LiXiaohong Joe Zhou
Published in: European radiology (2021)
• High b-value diffusion MRI with a FROC model that is sensitive to tissue microstructures can differentiate the diffuse-and-mixed type from intestinal type of gastric adenocarcinoma. • The combination of FROC parameters produced the best result for distinguishing the diffuse-and-mixed type from the intestinal type with an area under the receiver operating characteristic curve of 0.793. • The FROC model parameters, individually or conjointly, hold promise for repeated, non-invasive evaluations of gastric adenocarcinoma at various time points throughout disease progression or regression to complement conventional Lauren classification.
Keyphrases
  • squamous cell carcinoma
  • machine learning
  • magnetic resonance imaging
  • deep learning
  • contrast enhanced
  • locally advanced
  • magnetic resonance
  • diffusion weighted imaging
  • computed tomography