Results 131 to 140 of about 73,359 (292)

A novel lung radiomics feature for characterizing resting heart rate and COPD stage evolution based on radiomics feature combination strategy

, 2022
Yingjian Yang, Wei Li, Yan Kang, Yingwei Guo, Kai Yang, Qiang Li, Yang Liu, Chaoran Yang, Rongchang Chen, Huai Chen, Xian Li, Lei Cheng   +11 more
openalex   +1 more source

Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features

Computers in Biology and Medicine
To evaluate the potential of synthetic radiomic data generation in addressing data scarcity in radiomics/radiogenomics models.This study was conducted on a retrospectively collected cohort of 386 colorectal cancer patients (n = 2570 lesions) for whom matched contrast-enhanced CT images and gene TP53 mutational status were available.
Milad Ahmadian, Zuhir Bodalal, Hedda J. van der Hulst, Conchita Vens, Luc H.E. Karssemakers, Nino Bogveradze, Francesca Castagnoli, Federica Landolfi, Eun Kyoung Hong, Nicolo Gennaro, Andrea Delli Pizzi, Regina G.H. Beets-Tan, Michiel W.M. van den Brekel, Jonas A. Castelijns   +13 more
openaire   +3 more sources

Morphological Sinus Features and Chronic Rhinosinusitis Risk: A Radiomics Study

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives Anatomical factors of the sinuses significantly impact the progression of chronic rhinosinusitis (CRS). This study aims to investigate the correlation between morphological sinus features and the risk of CRS onset to provide evidence‐based support for clinical management.
Song Luo, Xiang‐Hai Hu, Min Yin, Song Li, Lei Cheng   +4 more
wiley   +1 more source

Dissimilarity-based representation for radiomics applications

, 2018
Radiomics is a term which refers to the analysis of the large amount of quantitative tumor features extracted from medical images to find useful predictive, diagnostic or prognostic information.
Bernard, Simon, Cao, Hongliu, Heutte, Laurent, Sabourin, Robert   +3 more
core  

Effect of the Arg16Gly β2‐Adrenergic Receptor Polymorphism on Long‐Term Mepolizumab Response and Clinical Remission in Severe Eosinophilic Asthma: A Genotype‐Stratified, Multicenter Study

Allergy, EarlyView.
This study examines the association between the rs1042713 (Arg16Gly) polymorphism of the β2‐adrenergic receptor and the risk of severe eosinophilic asthma, as well as its influence on mepolizumab long‐term effectiveness and clinical remission. The Arg16 allele is associated with increased risk of severe disease and potentially diminished long‐term ...
Santi Nolasco, Evelina Fagone, Raffaele Campisi, Andrea Portacci, Giulia Scioscia, Corrado Pelaia, Angelantonio Maglio, Claudio Candia, Vitaliano Nicola Quaranta, Isabella Carrieri, Alessandro Saglia, Alessandro Vatrella, Girolamo Pelaia, Carlo Vancheri, Maria Pia Foschino Barbaro, Maria D'Amato, Giovanna Elisiana Carpagnano, Nunzio Crimi, Claudia Crimi, on behalf of the Southern Italy Network on Severe Asthma Therapy, Rossella Intravaia, Morena Porto, Pietro Impellizzeri, Maria Provvidenza Pistorio, Fabio Vignera, Andrea Alessia Nardo, Concetta Giannì, Silvano Dragonieri, Flogerta Sana, Valeria Pezzuto, Santina Ferulli, Massimo Triggiani, Roberta Parente, Pasquale Tondo, Piera Soccio, Donato Lacedonia, Luigi Ciampo, Antonio Franzese, Valeria Longobardi   +38 more
wiley   +1 more source

Prognostic role of PET/CT volumetric parameters in paediatric Hodgkin lymphoma: A systematic review and expert recommendations from the International SEARCH for CAYAHL Group

British Journal of Haematology, EarlyView.
A visual overview of the key findings from the 35 papers included in this systematic review evaluating the use of PET volumetric parameters in children, adolescents and young adults with Hodgkin lymphoma. Summary In adults with classic Hodgkin lymphoma (cHL), metabolic tumour volume (MTV) is valuable for risk stratification.
S. Claire Gowdy, Jamie E. Flerlage, Jennifer Seelisch, Monica Palese, Tyler Bradshaw, Sharon M. Castellino, Steve Cho, Karin Dieckmann, Bradford S. Hoppe, Scott Howard, Kara M. Kelly, Lars Kurch, Hollie A. Lai, Egesta Lopci, John T. Lucas Jr., Christine Mauz‐Körholz, Kathleen M. McCarten, Neeta Pandit‐Taskar, Heiko Schöder, Jonas Steglich, Dietrich Stoevesandt, Stephan D. Voss, Sarah A. Milgrom   +22 more
wiley   +1 more source

Beyond PD‐1: Mechanisms of Resistance to Checkpoint Blockade in Classical Hodgkin Lymphoma and Next‐Generation Immune Strategies

European Journal of Haematology, EarlyView.
ABSTRACT PD‐1 inhibitors have reshaped the treatment landscape of classical Hodgkin lymphoma, yet a substantial proportion of patients exhibit primary or acquired resistance driven by tumor‐intrinsic alterations, immunosuppressive microenvironmental signals, metabolic constraints, and EBV‐mediated modulation.
Santino Caserta, Enrica Antonia Martino, Mamdouh Skafi, Maria Eugenia Alvaro, Antonella Bruzzese, Nicola Amodio, Eugenio Lucia, Virginia Olivito, Caterina Labanca, Francesco Mendicino, Ernesto Vigna, Fortunato Morabito, Massimo Gentile   +12 more
wiley   +1 more source

Information Distortion in Electronic Health Records: A Concept Analysis

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims To conceptualise information distortion in Electronic Health Records (EHRs), with the goal of providing a theoretical foundation for improving documentation practices. Design A concept analysis. Methods Walker and Avant's strategy for concept analysis was used. The defining attributes, antecedents and consequences were identified.
Jianan Wang, Yihong Xu, Rongrong Zhang, Zhichao Yang, Xiaojie Zhang, Hongying Pan   +5 more
wiley   +1 more source

How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders

Journal of Neuropsychology, EarlyView.
Abstract Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and they have the potential to revolutionise neuropsychology as well. A particularly fruitful field for this revolution is the cognitive assessment of neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Mild Cognitive ...
Michele Scandola, Maria Esposito, Riccardo Guidotti, Daniele Romano   +3 more
wiley   +1 more source

Multicontrast MRI-based radiomics for the prediction of pathological complete response to neoadjuvant chemotherapy in patients with early triple negative breast cancer

, 2021
Angéline Nemeth, Pierre Chaudet, Benjamin Leporq, Pierre-Étienne Heudel, Fanny Barabas, Olivier Trédan, Isabelle Treilleux, A. Coulon, F. Pilleul, Olivier Beuf   +9 more
openalex   +2 more sources