Advancements in Image-Based Models for High-Grade Gliomas Might Be Accelerated

Area of Science:

• Neuro-oncology
• Medical Imaging
• Artificial Intelligence

Background:

• High-grade gliomas are aggressive brain tumors with poor prognoses.
• Recent advances in AI and imaging offer potential for optimized treatment strategies.
• Current clinical integration of these advancements is limited.

Purpose of the Study:

• To review recent research in AI and image-based models for high-grade glioma treatment.
• To identify barriers hindering the clinical application of these advanced techniques.
• To discuss end-of-life care and legislative aspects for high-grade glioma patients, particularly in Italy.

Main Methods:

• Literature review of major research published in the first half of 2022.
• Analysis of study designs, methodologies, and sample sizes.
• Examination of palliative care and legislative frameworks.

Main Results:

• Significant progress in AI and imaging for glioma treatment optimization.
• Key barriers include small sample sizes and methodological heterogeneity.
• End-of-life care for high-grade glioma patients is often inadequate and delayed.

Conclusions:

• Accelerating the clinical translation of AI and imaging requires addressing research and implementation challenges.
• Enhancing palliative care and adapting legislative instruments are essential for improving patient outcomes and end-of-life support.