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1.
Int J Hyperthermia ; 37(2): 3-19, 2020 07.
Article in English | MEDLINE | ID: mdl-32672123

ABSTRACT

Hyperthermia therapy (HT) of cancer is a well-known treatment approach. With the advent of new technologies, HT approaches are now important for the treatment of brain tumors. We review current clinical applications of HT in neuro-oncology and ongoing preclinical research aiming to advance HT approaches to clinical practice. Laser interstitial thermal therapy (LITT) is currently the most widely utilized thermal ablation approach in clinical practice mainly for the treatment of recurrent or deep-seated tumors in the brain. Magnetic hyperthermia therapy (MHT), which relies on the use of magnetic nanoparticles (MNPs) and alternating magnetic fields (AMFs), is a new quite promising HT treatment approach for brain tumors. Initial MHT clinical studies in combination with fractionated radiation therapy (RT) in patients have been completed in Europe with encouraging results. Another combination treatment with HT that warrants further investigation is immunotherapy. HT approaches for brain tumors will continue to a play an important role in neuro-oncology.


Subject(s)
Brain Neoplasms , Hyperthermia, Induced , Brain Neoplasms/therapy , Europe , Humans , Laser Therapy , Magnetics , Nanoparticles
2.
Sci Rep ; 14(1): 13309, 2024 06 10.
Article in English | MEDLINE | ID: mdl-38858389

ABSTRACT

Safe and effective brain tumor surgery aims to remove tumor tissue, not non-tumoral brain. This is a challenge since tumor cells are often not visually distinguishable from peritumoral brain during surgery. To address this, we conducted a multicenter study testing whether the Sentry System could distinguish the three most common types of brain tumors from brain tissue in a label-free manner. The Sentry System is a new real time, in situ brain tumor detection device that merges Raman spectroscopy with machine learning tissue classifiers. Nine hundred and seventy-six in situ spectroscopy measurements and colocalized tissue specimens were acquired from 67 patients undergoing surgery for glioblastoma, brain metastases, or meningioma to assess tumor classification. The device achieved diagnostic accuracies of 91% for glioblastoma, 97% for brain metastases, and 96% for meningiomas. These data show that the Sentry System discriminated tumor containing tissue from non-tumoral brain in real time and prior to resection.


Subject(s)
Brain Neoplasms , Spectrum Analysis, Raman , Humans , Brain Neoplasms/diagnosis , Brain Neoplasms/pathology , Brain Neoplasms/surgery , Spectrum Analysis, Raman/methods , Male , Female , Middle Aged , Aged , Meningioma/diagnosis , Meningioma/pathology , Glioblastoma/pathology , Glioblastoma/diagnosis , Glioblastoma/surgery , Adult , Machine Learning , Brain/pathology , Brain/diagnostic imaging
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