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Differentiation of glioblastoma G4 and two types of meningiomas using FTIR spectra and machine learning.

Anal Biochem

December 2024

Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Krakow, Poland; Department of Biochemistry and Molecular Biology, Medical University of Lublin, Lublin, Poland. Electronic address:

Brain tumors are among the most dangerous, due to their location in the organ that governs all life processes. Moreover, the high differentiation of these poses a challenge in diagnostics. Therefore, this study focused on the chemical differentiation of glioblastoma G4 (GBM) and two types of meningiomas (atypical - MAtyp and angiomatous - MAng) were done using Fourier Transform InfraRed (FTIR) spectroscopy, combined with statistical, multivariate, machine learning and rate of spectrum changes methods.

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Meningiomas are some of the most prevalent primary brain tumors in adults, and are typically non-neuroglial in nature. A variety of symptoms may be observed, including headaches, fluctuations in mental status, ataxia, muscle weakness, nausea and vomiting, seizures, visual changes, speech disorders, and sensory abnormalities. The World Health Organization (WHO) has a grading system for meningiomas based on histological criteria, which is as follows: Grade 1 meningiomas are considered benign; Grade 2 meningiomas have a moderately aggressive nature and usually present with histological atypia; and Grade 3 meningiomas exhibit aggressive malignant behavior.

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Prognostic models for progression-free survival in atypical meningioma: Comparison of machine learning-based approach and the COX model in an Asian multicenter study.

Radiother Oncol

December 2024

Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, South Korea; Brain Research Institute, Yonsei University College of Medicine, Seoul, Korea. Electronic address:

Background And Purpose: Atypical meningiomas are prevalent intracranial tumors with varied prognoses and recurrence rates. The role of adjuvant radiotherapy (ART) in atypical meningiomas remains debated. This study aimed to develop and validate a prognostic model incorporating machine learning techniques and clinical factors to predict progression-free survival (PFS) in patients with atypical meningiomas and assess the impact of ART.

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Article Synopsis
  • Pediatric intracranial tumors at the skull base are rare, challenging to treat due to complex anatomy, and lack substantial clinical evidence, prompting a study on surgical approaches and outcomes.
  • The study involved 12 children under 18 who underwent skull base surgery from 2017 to 2023, analyzing demographics, tumor details, surgical methods, and survival rates.
  • Results indicated a predominance of female patients, varying tumor locations and types, with 58.3% achieving gross or near-total resection; however, 33.3% of patients died from tumor progression within an average of 15 months.
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Article Synopsis
  • A 64-year-old woman with an atypical meningioma developed a T12 vertebral body burst fracture due to metastatic disease.
  • After disease progression, she underwent decompression surgery and stabilization with spinal fusion from T10-L2.
  • This case is notable for detailing surgical management of spinal metastatic meningioma, resulting in short-term improvement in her condition and neurological function.
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