Radiomics beyond the hype: a critical evaluation toward oncologic clinical use

N Horvat, N Papanikolaou, DM Koh - Radiology: Artificial Intelligence, 2024 - pubs.rsna.org
Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

Radiomics in carotid plaque: A systematic review and Radiomics quality score assessment

C Hou, XY Liu, Y Du, LG Cheng, LP Liu, F Nie… - Ultrasound in Medicine …, 2023 - Elsevier
Imaging modalities provide information on plaque morphology and vulnerability; however,
they are operator dependent and miss a great deal of microscopic information. Recently …

Radiomics analysis for multiple myeloma: a systematic review with radiomics quality scoring

ME Klontzas, M Triantafyllou, D Leventis, E Koltsakis… - Diagnostics, 2023 - mdpi.com
Multiple myeloma (MM) is one of the most common hematological malignancies affecting the
bone marrow. Radiomics analysis has been employed in the literature in an attempt to …

Multiple Machine-Learning Fusion Model Based on Gd-EOB-DTPA-Enhanced MRI and Aminotransferase-to-Platelet Ratio and Gamma-Glutamyl Transferase-to …

F Wang, CY Yan, Y Qin, ZM Wang, D Liu… - Journal of …, 2024 - Taylor & Francis
Background Currently, it is still confused whether preoperative aminotransferase-to-platelet
ratio (APRI) and gamma-glutamyl transferase-to-platelet ratio (GPR) can predict …

AI as Virtual Biopsy Tool to Predict Macrotrabecular-Massive Hepatocellular Carcinoma

LC Chu, EK Fishman - Radiology, 2023 - pubs.rsna.org
Dr Linda Chu is an associate professor and associate division director in the Diagnostic
Division in the Department of Radiology at Johns Hopkins University. Her research interest …

The Diagnostic Accuracy Between Radiomics Model and Non-radiomics Model for Preoperative of Microvascular Invasion of Solitary Hepatocellular Carcinoma: A …

J Gou, J Li, Y Li, M Lu, C Wang, Y Zhuo, X Dong - Academic Radiology, 2024 - Elsevier
Rationale and Objectives Microvascular invasion (MVI) is a key prognostic factor for
hepatocellular carcinoma (HCC). The predictive models for solitary HCC could potentially …

[HTML][HTML] Quality assessment of radiomics models in carotid plaque: a systematic review

C Hou, S Li, S Zheng, LP Liu, F Nie… - Quantitative Imaging in …, 2024 - ncbi.nlm.nih.gov
Background Although imaging techniques provide information about the morphology and
stability of carotid plaque, they are operator dependent and may miss certain subtleties. A …