Radiomics: The new promise for differentiating progression, recurrence, pseudoprogression, and radionecrosis in glioma and glioblastoma multiforme

M Alizadeh, N Broomand Lomer, M Azami, M Khalafi… - Cancers, 2023 - mdpi.com
Simple Summary Progression/recurrence, pseudoprogression, and radionecrosis are all
scenarios that can be expected during the treatment course of glioma and GBM. Although …

Imaging Assessment of Radiation Therapy-Related Normal Tissue Injury in Children: A PENTEC Visionary Statement

JT Lucas Jr, ZR Abramson, K Epstein, CE Morin… - International Journal of …, 2024 - Elsevier
The Pediatric Normal Tissue Effects in the Clinic (PENTEC) consortium has made significant
contributions to understanding and mitigating the adverse effects of childhood cancer …

Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning

YC Lin, G Lin, S Pandey, CH Yeh, JJ Wang, CY Lin… - European …, 2023 - Springer
Objectives To use convolutional neural network for fully automated segmentation and
radiomics features extraction of hypopharyngeal cancer (HPC) tumor in MRI. Methods MR …

Radiomics for discrimination between early-stage nasopharyngeal carcinoma and benign hyperplasia with stable feature selection on MRI

LM Wong, QYH Ai, R Zhang, F Mo, AD King - Cancers, 2022 - mdpi.com
Simple Summary In this study, we investigated the potential of radiomic models to
discriminate nasopharyngeal carcinoma from benign hyperplasia on MRI, which is important …

Radiomic Features Associated with Lymphoma Development in the Parotid Glands of Patients with Primary Sjögren's Syndrome

DD Muntean, LM Lenghel, PA Ștefan, D Fodor… - Cancers, 2023 - mdpi.com
Simple Summary Patients diagnosed with primary Sjögren's syndrome are characterized by
an increased accumulation of mucosa-associated lymphoid tissue in the salivary and …

Evaluation of the Reliability and the Performance of Magnetic Resonance Imaging Radiomics in the Presence of Randomly Generated Irrelevant Features for Prostate …

C Xue, J Yuan, GG Lo, DMC Poon, WCW Chu - Diagnostics, 2023 - mdpi.com
Radiomics has the potential to aid prostate cancer (PC) diagnoses and prediction by
analyzing and modeling quantitative features extracted from clinical imaging. However, its …

Repeatability of computed tomography liver radiomic features in a nonhuman primate model of diet-induced steatosis

H Wang, J Solomon, SMS Reza… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose We describe a method to identify repeatable liver computed tomography (CT)
radiomic features, suitable for detection of steatosis, in nonhuman primates. Criteria used for …

Hybrid Deep Learning and Radiomics Models for Assessment of Clinically Relevant Prostate Cancer

LJ Isaksson - 2022 - air.unimi.it
Precision medicine holds the potential to revolutionize healthcare by providing every patient
with personalized treatments and decisions tailored to his or her individual needs. This …

Review of Magnetic Resonance Imaging and Post-processing for the Brain Tumor-related Epilepsy Study.

R George, LS Chow, KS Lim, C Audrey… - Current Medical …, 2023 - europepmc.org
20% of brain tumor patients present with seizures at the onset of diagnosis, while a further
25-40% develop epileptic seizures as the tumor progresses. Tumor-related epilepsy (TRE) …

[引用][C] Editorial for" MRI-Based Metastatic Nodal Number and Associated Nomogram Improve Stratification of Nasopharyngeal Carcinoma Patients: Potential …

J Yuan, MK Kam, DMC Poon - Journal of Magnetic Resonance …, 2022 - europepmc.org
Editorial for "MRI-Based Metastatic Nodal Number and Associated Nomogram Improve
Stratification of Nasopharyngeal Carcinoma Patients: Potential Indications for Individual …