Emerging imaging techniques for acute pancreatitis

Saeed Ghandili1, Shahab Shayesteh1, Daniel F Fouladi1

  • 1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Insights

Advanced imaging techniques like MRI, radiomics, and artificial neural networks offer new ways to evaluate acute pancreatitis (AP) beyond traditional methods. These methods can provide deeper insights into tissue abnormalities for better classification and prognosis.

Area of Science:

  • Radiology
  • Medical Imaging
  • Gastroenterology

Background:

  • Acute pancreatitis (AP) is a common cause of abdominal pain due to pancreatic inflammation.
  • Current imaging relies primarily on morphological features seen in CT and MRI.
  • There is a need for advanced techniques to better classify and predict AP outcomes.

Purpose of the Study:

  • To review recent advancements in imaging acquisition and analysis for AP evaluation.
  • To highlight the potential of advanced MR techniques and analytical methods.
  • To discuss the development of novel imaging biomarkers for AP.

Main Methods:

  • Review of advanced Magnetic Resonance (MR) techniques including diffusion-weighted imaging, T1 mapping, and T2 mapping.
  • Exploration of advanced analytical techniques such as radiomics and artificial neural networks (ANNs).
  • Focus on quantifying signal changes and uncovering imaging biomarkers.

Main Results:

  • Advanced MR techniques can quantify signal changes reflecting pancreatic tissue abnormalities.
  • Radiomics and ANNs show promise in identifying novel imaging biomarkers.
  • These advanced methods offer potential for improved AP classification and prognosis.

Conclusions:

  • Emerging imaging technologies are expanding the evaluation of AP beyond morphology.
  • Advanced MR and analytical techniques provide quantitative data for AP assessment.
  • Future research may lead to more precise diagnostic and prognostic tools for AP.

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