Prediction of WHO grade and methylation class of aggressive meningiomas: Extraction of diagnostic information from infrared spectroscopic data.
Roberta GalliFranz LehnerSven RichterKatrin KirscheMatthias MeinhardtTareq A JuratliAchim TemmeMatthias KirschRolf WartaChristel Herold-MendeFranz L RicklefsKatrin LamszusPhilipp SieversFelix SahmIlker Y EyüpogluOrtrud UckermannPublished in: Neuro-oncology advances (2024)
IR spectroscopy proved capable of extracting information about the malignancy of meningiomas, not only according to the WHO grade, but also for a diagnostic system based on molecular tumor characteristics. In future clinical use, physicians could assess the goodness of the classification by considering classification probabilities and cross-measurement validation. This might enhance the overall accuracy and clinical utility, reinforcing the potential of IR spectroscopy in advancing precision medicine for meningioma characterization.
Keyphrases
- single molecule
- machine learning
- deep learning
- high resolution
- primary care
- health information
- molecular docking
- solid state
- big data
- electronic health record
- dna methylation
- genome wide
- current status
- artificial intelligence
- gene expression
- human health
- risk assessment
- climate change
- optical coherence tomography
- data analysis