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 …
The current state of radiomics for meningiomas: promises and challenges
Meningiomas are the most common primary tumors of the central nervous system. Given the
fact that the majority of meningiomas are benign, the preoperative risk stratification and …
fact that the majority of meningiomas are benign, the preoperative risk stratification and …
Radiomics-guided radiation therapy: opportunities and challenges
Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …
considers them as biomarkers towards personalized medicine. Applications include disease …
Meningioma radiomics: At the nexus of imaging, pathology and biomolecular characterization
L Ugga, G Spadarella, L Pinto, R Cuocolo, A Brunetti - Cancers, 2022 - mdpi.com
Simple Summary Meningiomas are typically benign, common extra-axial tumors of the
central nervous system. Routine clinical assessment by radiologists presents some …
central nervous system. Routine clinical assessment by radiologists presents some …
Glioblastoma and anaplastic astrocytoma: differentiation using MRI texture analysis
Z Tian, C Chen, Y Fan, X Ou, J Wang, X Ma… - Frontiers in oncology, 2019 - frontiersin.org
Introduction: Glioblastoma and anaplastic astrocytoma (ANA) are two of the most common
primary brain tumors in adults. The differential diagnosis is important for treatment …
primary brain tumors in adults. The differential diagnosis is important for treatment …
Intensity standardization of MRI prior to radiomic feature extraction for artificial intelligence research in glioma—a systematic review
Objectives Radiomics is a promising avenue in non-invasive characterisation of diffuse
glioma. Clinical translation is hampered by lack of reproducibility across centres and …
glioma. Clinical translation is hampered by lack of reproducibility across centres and …
Preoperative prediction of CNS WHO grade and tumour aggressiveness in intracranial meningioma based on radiomics and structured semantics
D Kalasauskas, M Kosterhon, E Kurz, L Schmidt… - Scientific reports, 2024 - nature.com
Preoperative identification of intracranial meningiomas with aggressive behaviour may help
in choosing the optimal treatment strategy. Radiomics is emerging as a powerful diagnostic …
in choosing the optimal treatment strategy. Radiomics is emerging as a powerful diagnostic …
Radiomics in triple negative breast cancer: new horizons in an aggressive subtype of the disease
In the last decade, the analysis of the medical images has evolved significantly, applications
and tools capable to extract quantitative characteristics of the images beyond the …
and tools capable to extract quantitative characteristics of the images beyond the …
Beyond glioma: the utility of radiomic analysis for non-glial intracranial tumors
D Kalasauskas, M Kosterhon, N Keric, O Korczynski… - Cancers, 2022 - mdpi.com
Simple Summary Tumor qualities, such as growth rate, firmness, and intrusion into healthy
tissue, can be very important for operation planning and further treatment. Radiomics is a …
tissue, can be very important for operation planning and further treatment. Radiomics is a …
Radiomic Features Associated with Extent of Resection in Glioma Surgery
G Muscas, S Orlandini, E Becattini, F Battista… - Machine Learning in …, 2022 - Springer
Radiomics defines a set of techniques for extraction and quantification of digital medical
data in an automated and reproducible way. Its goal is to detect features potentially related …
data in an automated and reproducible way. Its goal is to detect features potentially related …