Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis

L Ugga, T Perillo, R Cuocolo, A Stanzione, V Romeo… - Neuroradiology, 2021 - Springer
Purpose To systematically review and evaluate the methodological quality of studies using
radiomics for diagnostic and predictive purposes in patients with intracranial meningioma …

The current state of radiomics for meningiomas: promises and challenges

H Gu, X Zhang, P Di Russo, X Zhao, T Xu - Frontiers in oncology, 2020 - frontiersin.org
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 …

Radiomics-guided radiation therapy: opportunities and challenges

H Abdollahi, E Chin, H Clark, DE Hyde… - Physics in Medicine …, 2022 - iopscience.iop.org
Radiomics is an advanced image-processing framework, which extracts image features and
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 …

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 …

Intensity standardization of MRI prior to radiomic feature extraction for artificial intelligence research in glioma—a systematic review

K Fatania, F Mohamud, A Clark, M Nix, SC Short… - European …, 2022 - Springer
Objectives Radiomics is a promising avenue in non-invasive characterisation of diffuse
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 …

Radiomics in triple negative breast cancer: new horizons in an aggressive subtype of the disease

CC Mireștean, C Volovăț, RI Iancu… - Journal of Clinical …, 2022 - mdpi.com
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 …

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 …

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 …