Use of diffusion tensor imaging in glioma resection

Area of Science:

• Neuroimaging
• Neurosurgery
• Oncology

Background:

• Conventional MRI provides only anatomical data, limiting surgical precision for gliomas.
• Diffusion Tensor Imaging (DTI) visualizes white matter tracts, offering crucial connectivity information.
• DTI is becoming essential for neurosurgeons operating on high- and low-grade gliomas.

Purpose of the Study:

• To review the scientific principles and technological evolution of DTI in glioma surgery.
• To summarize current literature on DTI's application in preoperative planning, diagnosis, and outcomes.
• To discuss future directions for DTI in neuro-oncology.

Main Methods:

• Review of basic scientific principles of DTI technology and image acquisition.
• Synthesis of current clinical literature supporting DTI use in glioma resection.
• Analysis of studies focusing on preoperative planning, diagnosis, and postoperative outcomes.

Main Results:

• DTI provides vital CNS connectivity data, enabling visualization of critical white matter tracts.
• The technology aids neurosurgeons in guiding surgical approach and optimizing tumor resection.
• Literature supports DTI's role in improving preoperative planning, diagnosis, and patient outcomes.

Conclusions:

• DTI is a valuable tool in glioma surgery, enhancing precision and safety.
• Continued evolution of DTI promises further advancements in neurosurgical oncology.
• Future research should explore novel applications and refine DTI techniques for glioma treatment.