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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
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MRI sequence optimisation methods to identify cranial nerve course for radiotherapy planning.

Laura M O'Connor1,2, Kate Skehan1, Jonathan Goodwin1,3

  • 1Department of Radiation Oncology, Calvary Mater Hospital, Newcastle, New South Wales, Australia.

Journal of Medical Radiation Sciences
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Magnetic resonance imaging (MRI) enhances radiation therapy planning by improving visualization of critical structures. This adapted MRI technique accurately identifies cranial nerves, enabling precise radiation delivery and reducing side effects for head and neck cancer patients.

Keywords:
Magnetic resonance imagingradiotherapyradiotherapy planning, computer-assistedradiotherapy, image-guided

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Area of Science:

  • Medical Imaging
  • Radiation Oncology
  • Neuroscience

Background:

  • Magnetic resonance imaging (MRI) offers superior visualization of organs at risk compared to computed tomography (CT) in radiation therapy planning.
  • Diagnostic MRI sequences, like T2-weighted 3D SPACE, are being adapted for radiation therapy planning, particularly for cranial nerve identification in head and neck cancer treatment.

Purpose of the Study:

  • To adapt a 3D isotropic T2 SPACE MRI sequence for radiation therapy planning, focusing on cranial nerve identification.
  • To minimize image distortion and validate the protocol for clinical use in radiation therapy.

Main Methods:

  • A 3D isotropic T2 SPACE sequence was modified for radiation therapy, incorporating techniques to minimize distortion such as spin-echo sequences, 3D distortion correction, isocentre scanning, and increased readout bandwidth.
  • Radiation therapy positioning was addressed using small flex, 4-channel coils.
  • Protocol validation involved assessing cranial nerve identification and distortion minimization in clinical settings and with an MRI QA phantom.

Main Results:

  • The adapted MRI protocol successfully visualized normal anatomy of cranial nerves (CI-CIX) and demonstrated clinical utility in cases involving tumors near the skull base.
  • In-house testing confirmed that increased bandwidths (600 Hz) resulted in minimal image displacement (<1 mm).

Conclusions:

  • MRI integration in radiation therapy planning enhances treatment individualization and outcome prediction.
  • Accurate cranial nerve identification through MRI allows for dose reduction, potentially decreasing late side effects like cranial neuropathy.
  • This technology holds promise for expanded applications in future radiation therapy treatments.