Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
[HTML][HTML] Radiomics in glioblastoma: current status and challenges facing clinical implementation
Radiomics analysis has had remarkable progress along with advances in medical imaging,
most notability in central nervous system malignancies. Radiomics refers to the extraction of …
most notability in central nervous system malignancies. Radiomics refers to the extraction of …
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
Objectives To evaluate radiomics studies according to radiomics quality score (RQS) and
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …
[HTML][HTML] Introduction to radiomics for a clinical audience
C McCague, S Ramlee, M Reinius, I Selby, D Hulse… - Clinical Radiology, 2023 - Elsevier
Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …
features from medical images, thus converting these digital images into minable, high …
MRI-based deep-learning method for determining glioma MGMT promoter methylation status
CGB Yogananda, BR Shah… - American Journal …, 2021 - Am Soc Neuroradiology
Editorial expression of concern: In the May 2021 edition, the American Journal of
Neuroradilogy published the article “MRI-Based Deep-Learning Method for Determining …
Neuroradilogy published the article “MRI-Based Deep-Learning Method for Determining …
[HTML][HTML] A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma
Purpose: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma
(ICC) patients is essential for surgical planning. This study aimed to develop and validate a …
(ICC) patients is essential for surgical planning. This study aimed to develop and validate a …
XGBoost improves classification of MGMT promoter methylation status in IDH1 wildtype glioblastoma
Approximately 96% of patients with glioblastomas (GBM) have IDH1 wildtype GBMs,
characterized by extremely poor prognosis, partly due to resistance to standard …
characterized by extremely poor prognosis, partly due to resistance to standard …
Radiogenomics: a key component of precision cancer medicine
Z Liu, T Duan, Y Zhang, S Weng, H Xu, Y Ren… - British Journal of …, 2023 - nature.com
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …
has been widely applied to address tumour heterogeneity and predict immune …
Predicting MGMT promoter methylation in diffuse gliomas using deep learning with radiomics
This study aimed to investigate the feasibility of predicting oxygen 6-methylguanine-DNA
methyltransferase (MGMT) promoter methylation in diffuse gliomas by developing a deep …
methyltransferase (MGMT) promoter methylation in diffuse gliomas by developing a deep …
[HTML][HTML] Radiogenomics map reveals the landscape of m6A methylation modification pattern in bladder cancer
F Ye, Y Hu, J Gao, Y Liang, Y Liu, Y Ou… - Frontiers in …, 2021 - frontiersin.org
We aimed to develop a noninvasive radiomics approach to reveal the m6A methylation
status and predict survival outcomes and therapeutic responses in patients. A total of 25 …
status and predict survival outcomes and therapeutic responses in patients. A total of 25 …