Results 21 to 30 of about 89,335 (330)

Radiomics in Oncology III

Diagnostics, 2023
In recent years, radiomics has been among the most impactful topics in the research field of quantitative imaging [...]
Zerunian, Marta, Laghi, Andrea, Caruso, Damiano   +2 more
openaire   +3 more sources

State of Radiomics in Glioblastoma [PDF]

Neurosurgery, 2021
Abstract Radiomics is an emerging discipline that aims to make intelligent predictions and derive medical insights based on quantitative features extracted from medical images as a means to improve clinical diagnosis or outcome. Pertaining to glioblastoma, radiomics has provided powerful, noninvasive tools for gaining insights into ...
Birra Taha, Daniel Boley, Ju Sun, Clark C Chen   +3 more
openaire   +3 more sources

B₀ Correction for 3T Amide Proton Transfer (APT) MRI Using a Simplified Two-Pool Lorentzian Model of Symmetric Water and Asymmetric Solutes

Tomography, 2022
Amide proton transfer (APT)-weighted MRI is a promising molecular imaging technique that has been employed in clinic for detection and grading of brain tumors. MTRasym, the quantification method of APT, is easily influenced by B0 inhomogeneity and causes
Yibing Chen, Xujian Dang, Benqi Zhao, Zhuozhao Zheng, Xiaowei He, Xiaolei Song   +5 more
doaj   +1 more source

Radiomics and Its Feature Selection: A Review

Symmetry, 2023
Medical imaging plays an indispensable role in evaluating, predicting, and monitoring a range of medical conditions. Radiomics, a specialized branch of medical imaging, utilizes quantitative features extracted from medical images to describe underlying ...
Wenchao Zhang, Yu Guo, Qiyu Jin
semanticscholar   +1 more source

Applications and limitations of radiomics [PDF]

Physics in Medicine and Biology, 2016
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized ...
Hugo J.W.L. Aerts, Hugo J.W.L. Aerts, Stephen S.F. Yip   +2 more
openaire   +2 more sources

Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

Diagnostics, 2023
Background: Although handcrafted radiomics features (RF) are commonly extracted via radiomics software, employing deep features (DF) extracted from deep learning (DL) algorithms merits significant investigation.
Mohammad R. Salmanpour, S. M. Rezaeijo, Mahdi Hosseinzadeh, A. Rahmim   +3 more
semanticscholar   +1 more source

Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?

Frontiers in Neurology, 2021
Introduction: Nusinersen is a recent promising therapy approved for the treatment of spinal muscular atrophy (SMA), a rare disease characterized by the degeneration of alpha motor neurons (αMN) in the spinal cord (SC) leading to progressive muscle ...
Giovanni Savini, Carlo Asteggiano, Carlo Asteggiano, Matteo Paoletti, Stefano Parravicini, Elena Pezzotti, Francesca Solazzo, Shaun I. Muzic, Francesco Santini, Francesco Santini, Xeni Deligianni, Xeni Deligianni, Alice Gardani, Giancarlo Germani, Lisa M. Farina, Niels Bergsland, Niels Bergsland, Claudia A. M. Gandini Wheeler-Kingshott, Claudia A. M. Gandini Wheeler-Kingshott, Claudia A. M. Gandini Wheeler-Kingshott, Angela Berardinelli, Stefano Bastianello, Stefano Bastianello, Anna Pichiecchio, Anna Pichiecchio   +24 more
doaj   +1 more source

Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis

Journal of Translational Medicine, 2023
The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has given rise to the prominence of the tumor microenvironment (TME) as a critical area of research.
Wendi Kang, Xiang Qiu, Yingen Luo, Jianwei Luo, Yang Liu, Junqing Xi, Xiao Li, Zhengqiang Yang   +7 more
semanticscholar   +1 more source

Feasibility of using CT radiomic signatures for predicting CD8-T cell infiltration and PD-L1 expression in renal cell carcinoma

European Journal of Radiology Open, 2022
Objectives: To identify computed tomography (CT)-based radiomic signatures of cluster of differentiation 8 (CD8)-T cell infiltration and programmed cell death ligand 1 (PD-L1) expression levels in patients with clear-cell renal cell carcinoma (ccRCC ...
Bino Varghese, Steven Cen, Haris Zahoor, Imran Siddiqui, Manju Aron, Akash Sali, Suhn Rhie, Xiaomeng Lei, Marielena Rivas, Derek Liu, Darryl Hwang, David Quinn, Mihir Desai, Ulka Vaishampayan, Inderbir Gill, Vinay Duddalwar   +15 more
doaj   +1 more source

Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier

Mathematical Biosciences and Engineering, 2022
Computed tomography (CT) has been the most effective modality for characterizing and quantifying chronic obstructive pulmonary disease (COPD). Radiomics features extracted from the region of interest in chest CT images have been widely used for lung ...
Yingjian Yang , Wei Li , Yingwei Guo , Nanrong Zeng, Shicong Wang , Ziran Chen, Yang Liu, Huai Chen, Wenxin Duan, Xian Li , Wei Zhao, Rongchang Chen , Yan Kang   +12 more
doaj   +1 more source