Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study

R Ortiz-Ramón, A Larroza, S Ruiz-España, E Arana… - European …, 2018 - Springer
Objective To examine the capability of MRI texture analysis to differentiate the primary site of
origin of brain metastases following a radiomics approach. Methods Sixty-seven untreated …

Breast cancer brain metastasis: the potential role of MRI beyond current clinical applications

A Hadjipanteli, P Doolan, E Kyriacou… - Cancer management …, 2020 - Taylor & Francis
Purpose Breast cancer brain metastasis (BCBM) represents a major clinical challenge. Can
MRI help in advancements in the management of BCBM? This review discusses MRI …

Predicting survival duration with MRI radiomics of brain metastases from non-small cell lung cancer

BT Chen, T **, N Ye, I Mambetsariev, T Wang… - Frontiers in …, 2021 - frontiersin.org
Background: Brain metastases are associated with poor survival. Molecular genetic testing
informs on targeted therapy and survival. The purpose of this study was to perform a MR …

Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture …

EM Cui, F Lin, Q Li, RG Li, XM Chen, ZS Liu… - Acta …, 2019 - journals.sagepub.com
Background Morphological findings showed poor accuracy in differentiating
angiomyolipoma without visible fat (AMLwvf) from renal cell carcinoma (RCC). Purpose To …

Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases

BT Chen, T **, N Ye, I Mambetsariev, E Daniel… - Magnetic resonance …, 2020 - Elsevier
Lung cancer metastases comprise most of all brain metastases in adults and most brain
metastases are diagnosed by magnetic resonance (MR) scans. The purpose of this study …

Computational quantitative MR image features-a potential useful tool in differentiating glioblastoma from solitary brain metastasis

K Petrujkić, N Milošević, N Rajković… - European Journal of …, 2019 - Elsevier
Purpose Glioblastomas (GBM) and metastases are the most frequent malignant brain tumors
in the adult population. Their presentation on conventional MRI is quite similar, but treatment …

Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis

Y Li, X Lv, B Wang, Z Xu, Y Wang, S Gao… - European Journal of …, 2022 - Elsevier
Purpose More and more small brain metastases (BMs) in asymptomatic patients can be
detected even prior to their primary lung cancer with the development of MRI. The aim of this …

Quality of radiomics research on brain metastasis: a roadmap to promote clinical translation

CJ Park, YW Park, SS Ahn, D Kim… - Korean journal of …, 2022 - pmc.ncbi.nlm.nih.gov
Objective Our study aimed to evaluate the quality of radiomics studies on brain metastases
based on the radiomics quality score (RQS), Transparent Reporting of a multivariable …

Discrimination between solitary brain metastasis and glioblastoma multiforme by using ADC-based texture analysis: A comparison of two different ROI placements

G Zhang, X Chen, S Zhang, X Ruan, C Gao, Z Liu… - Academic radiology, 2019 - Elsevier
Rationale and Objectives To explore the value of texture analysis based on the apparent
diffusion coefficient (ADC) value and the effect of region of interest (ROI) placements in …

[HTML][HTML] Inflammatory lesions and brain tumors: is it possible to differentiate them based on texture features in magnetic resonance imaging?

AFF Alves, JRA Miranda, F Reis, SAS Souza… - Journal of Venomous …, 2020 - SciELO Brasil
Background: Neuroimaging strategies are essential to locate, to elucidate the etiology, and
to the follow up of brain disease patients. Magnetic resonance imaging (MRI) provides good …