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Pancreatic Intraepithelial Neoplasia Revealed by Diffusion-Tensor MRI.

Carlos Bilreiro1, Francisca F Fernandes, Rui V Simões

  • 1From the Radiology Department, Champalimaud Foundation, Lisbon, Portugal (C.B., C.M.); Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal (C.B., F.F.F., R.H., C.C., A.I., M.C.-M., T.C., C.M., N.S.); Nova Medical School, Lisbon, Portugal (C.B.); i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal (R.V.S.); and Pathology Department, Champalimaud Foundation, Lisbon, Portugal (M.C.-M.).

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Summary
This summary is machine-generated.

Diffusion tensor imaging (DTI) and T2* magnetic resonance imaging can detect pancreatic intraepithelial neoplasia (PanIN) in mice and humans. These advanced imaging techniques show promise for early pancreatic cancer diagnosis.

Keywords:
animals, genetically modifiedcarcinoma in situdiffusion tensor imagingpancreatic intraepithelial neoplasiapancreatic neoplasms

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Area of Science:

  • Medical Imaging
  • Oncology
  • Biomedical Engineering

Background:

  • Pancreatic intraepithelial neoplasia (PanIN) are premalignant lesions critical for early pancreatic ductal adenocarcinoma detection.
  • Understanding PanIN biology is essential for improving diagnostic and therapeutic strategies.

Purpose of the Study:

  • To investigate the potential of diffusion tensor imaging (DTI) and T2* magnetic resonance imaging (MRI) for detecting and characterizing PanIN.
  • To correlate imaging findings with histological features in a preclinical model and human specimens.

Main Methods:

  • In vivo and ex vivo DTI and T2* MRI were performed on genetically engineered mouse models (KC, KPC) and human pancreas specimens.
  • Histological analysis was used for validation, assessing lesion span and severity.
  • MR contrast sources were investigated in relation to microarchitectural features.

Main Results:

  • DTI demonstrated high accuracy in detecting PanIN in vivo, with fractional anisotropy (FA) and axial diffusivity (AD) showing strong discriminative ability.
  • Ex vivo MR microscopy correlated imaging contrasts with histological features, such as fibrosis and cysts.
  • AD showed the strongest correlation with PanIN lesion span and severity (R = 0.708, P < 0.001; R = 0.789, P < 0.001).
  • Findings in mice were successfully translated to human pancreas specimens, showing clear contrast between PanIN and normal tissue.

Conclusions:

  • DTI and T2* MRI are effective for detecting and characterizing PanIN in both mouse models and human pancreases.
  • AD and FA are key parameters for differentiating PanIN.
  • These findings support the future clinical application of advanced pancreatic MRI for early cancer detection.