Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging
This article is a comprehensive review of the basic background, technique, and clinical
applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A …
applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A …
Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis
Purpose To systematically review and evaluate the methodological quality of studies using
radiomics for diagnostic and predictive purposes in patients with intracranial meningioma …
radiomics for diagnostic and predictive purposes in patients with intracranial meningioma …
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication
Despite widespread adoption of electronic health records (EHRs), most hospitals are not
ready to implement data science research in the clinical pipelines. Here, we develop …
ready to implement data science research in the clinical pipelines. Here, we develop …
Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas
Recurrence of meningiomas is unpredictable by current invasive methods based on
surgically removed specimens. Identification of patients likely to recur using noninvasive …
surgically removed specimens. Identification of patients likely to recur using noninvasive …
Multiplatform genomic profiling and magnetic resonance imaging identify mechanisms underlying intratumor heterogeneity in meningioma
ST Magill, HN Vasudevan, K Seo… - Nature …, 2020 - nature.com
Meningiomas are the most common primary intracranial tumors, but the molecular drivers of
meningioma tumorigenesis are poorly understood. We hypothesized that investigating …
meningioma tumorigenesis are poorly understood. We hypothesized that investigating …
Artificial intelligence in brain tumour surgery—an emerging paradigm
S Williams, H Layard Horsfall, JP Funnell… - Cancers, 2021 - mdpi.com
Simple Summary Artificial intelligence (AI) is the branch of computer science that enables
machines to learn, reason, and problem solve. In recent decades, AI has been developed …
machines to learn, reason, and problem solve. In recent decades, AI has been developed …
Radiotherapy for meningiomas
Meningiomas are the most common primary central nervous system neoplasm. Despite
promising recent progress in elucidating the genomic landscape and underlying biology of …
promising recent progress in elucidating the genomic landscape and underlying biology of …
A spotlight on the role of radiomics and machine-learning applications in the management of intracranial meningiomas: a new perspective in neuro-oncology: a review
L Brunasso, G Ferini, L Bonosi, R Costanzo, S Musso… - Life, 2022 - mdpi.com
Background: In recent decades, the application of machine learning technologies to medical
imaging has opened up new perspectives in neuro-oncology, in the so-called radiomics …
imaging has opened up new perspectives in neuro-oncology, in the so-called radiomics …
A clinical semantic and radiomics nomogram for predicting brain invasion in WHO grade II meningioma based on tumor and tumor-to-brain interface features
Background Brain invasion in meningioma has independent associations with increased
risks of tumor progression, lesion recurrence, and poor prognosis. Therefore, this study …
risks of tumor progression, lesion recurrence, and poor prognosis. Therefore, this study …
Machine learning using multiparametric magnetic resonance imaging radiomic feature analysis to predict Ki-67 in World Health Organization grade I meningiomas
O Khanna, AF Kazerooni, CJ Farrell… - …, 2021 - journals.lww.com
BACKGROUND Although World Health Organization (WHO) grade I meningiomas are
considered “benign” tumors, an elevated Ki-67 is one crucial factor that has been shown to …
considered “benign” tumors, an elevated Ki-67 is one crucial factor that has been shown to …