Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas

P Korfiatis, B Erickson - Clinical radiology, 2019 - Elsevier
Highlights•Review of papers focused on machine learning methods to predict molecular
biomarkers utilizing MRI imaging.•Deep learning is emerging as tool for molecular …

Efficient prediction of Ki-67 proliferation index in meningiomas on MRI: from traditional radiological findings to a machine learning approach

Y Zhao, J Xu, B Chen, L Cao, C Chen - Cancers, 2022 - mdpi.com
Simple Summary A high Ki-67 index usually suggests accelerated and uncontrolled cell
proliferation correlated with tumor growth and is a prognostic factor that is associated with an …

Meningioma consistency can be defined by combining the radiomic features of magnetic resonance imaging and ultrasound elastography. A pilot study using machine …

S Cepeda, I Arrese, S García-García… - World Neurosurgery, 2021 - Elsevier
Background The consistency of meningioma is a factor that may influence surgical planning
and the extent of resection. The aim of our study is to develop a predictive model of tumor …

A systematic review of radiological prediction of ki 67 proliferation index of meningioma

A Helal, E Hammam, CD Ovenden, NG Candy… - Neurosurgical …, 2024 - Springer
Objective Radiological prediction of Ki-67 plays a crucial role in determining the clinical
outcomes of meningioma patients. The aim of this review is to comprehensively review the …

T2-Weighted imaging and apparent diffusion coefficient Histogram parameters Predict Meningioma consistency

T Han, X Liu, J Sun, C Long, J Jiang, F Zhou, Z Zhao… - Academic …, 2024 - Elsevier
Rationale and Objectives Preoperative prediction of meningioma consistency is of great
clinical value for risk stratification and surgical approach selection. However, to date …

Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas

L Zheng, P Jiang, D Lin, X Chen, T Zhong, R Zhang… - Cancer Imaging, 2023 - Springer
Background The consistency of meningiomas is critical to determine surgical planning and
has a significant impact on surgical outcomes. Our aim was to compare mono-exponential …

Predicting the consistency of intracranial meningiomas using apparent diffusion coefficient maps derived from preoperative diffusion-weighted imaging

K Miyoshi, T Wada, I Uwano, M Sasaki, H Saura… - Journal of …, 2020 - thejns.org
OBJECTIVE The consistency of meningiomas is a critical factor affecting the difficulty of
resection, operative complications, and operative time. The apparent diffusion coefficient …

Can CT and MRI features differentiate benign from malignant meningiomas?

F Salah, A Tabbarah, K Asmar, H Tamim, M Makki… - Clinical Radiology, 2019 - Elsevier
AIM To highlight magnetic resonance imaging (MRI) and computed tomography (CT)
characteristics in distinguishing benign from high-grade meningiomas (World Health …

[HTML][HTML] Use of magnetic resonance elastography to gauge meningioma intratumoral consistency and histotype

Y Shi, Y Huo, C Pan, Y Qi, Z Yin, RL Ehman, Z Li… - NeuroImage: Clinical, 2022 - Elsevier
Objective To determine whether tumor shear stiffness, as measured by magnetic resonance
elastography, corresponds with intratumoral consistency and histotype. Materials and …

Relationship between shear stiffness measured by MR elastography and perfusion metrics measured by perfusion CT of meningiomas

T Takamura, U Motosugi, M Ogiwara… - American Journal …, 2021 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: When managing meningiomas, intraoperative tumor
consistency and histologic subtype are indispensable factors influencing operative strategy …