Recognising pitfalls in assessment of tumours by diffusion-weighted MRI: a pictorial essay

Bimal Kumar Parameswaran1, Eddie Lau, Nicholas J Ferris

  • 1Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

Insights

Diffusion-weighted imaging (DWI), an essential MRI technique, requires understanding its principles and limitations. This study highlights common DWI pitfalls encountered in oncologic imaging to ensure accurate application.

Area of Science:

  • Radiology
  • Oncologic Imaging
  • Medical Imaging Techniques

Background:

  • Diffusion-weighted imaging (DWI) is a fundamental component of Magnetic Resonance Imaging (MRI).
  • Proficiency in DWI principles and potential challenges is crucial for its effective clinical use.
  • Understanding these aspects is particularly important in the field of oncologic imaging.

Purpose of the Study:

  • To elucidate the potential pitfalls associated with Diffusion-weighted imaging (DWI) in oncologic imaging.
  • To enhance the understanding and correct application of DWI in cancer diagnosis and monitoring.
  • To provide a resource for radiologists and clinicians managing oncologic cases with DWI.

Main Methods:

  • Review and illustration of common DWI artifacts and limitations.
  • Case examples demonstrating DWI challenges in various oncologic scenarios.
  • Discussion of strategies to mitigate or overcome DWI pitfalls.

Main Results:

  • Identification of key technical and interpretative challenges in DWI for oncologic imaging.
  • Demonstration of how DWI pitfalls can lead to misdiagnosis or suboptimal treatment planning.
  • Emphasis on the need for critical evaluation of DWI data in the context of clinical information.

Conclusions:

  • Proper application of DWI in oncology necessitates a thorough understanding of its inherent pitfalls.
  • Awareness of these limitations can improve diagnostic accuracy and patient management.
  • Further education and vigilance are recommended for optimal utilization of DWI in cancer imaging.