John Rafanan, Nabih Ghani, Sarah Kazemeini, Ahmed Nadeem-Tariq, Ryan Shih, and Thomas A. Vida (all Medicine) published "" in the International Journal of Molecular Sciences.
Brain cancer remains one of the most formidable challenges in modern medicine, with high mortality rates and complex neurological implications. Despite advances in surgical and chemoradiotherapy approaches, the prognosis for aggressive tumors like glioblastoma multiforme (GBM) and metastatic brain tumors remains poor. The published work highlights groundbreaking advancements in neuro-oncology diagnostics that have the potential to revolutionize patient care. Their comprehensive work integrates cutting-edge imaging techniques, such as diffusion tensor imaging (DTI) and novel PET radiotracers, alongside liquid biopsy innovations offering minimally invasive, real-time tumor monitoring. Furthermore, the application of artificial intelligence (AI)-driven algorithms enhances diagnostic precision, reduces variability, and accelerates clinical decision-making. These innovations collectively pave the way for more personalized neuro-oncological care, addressing key diagnostic challenges and improving patient outcomes. As we strive for early detection and more effective treatment strategies, this review provides critical insights into the future of brain cancer management.
