Results 51 to 60 of about 70,067 (222)

Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma

Insights into Imaging, 2023
Purpose To predict the International Neuroblastoma Pathology Classification (INPC) in neuroblastoma using a computed tomography (CT)-based radiomics approach.
Haoru Wang, Mingye Xie, Xin Chen, Jin Zhu, Li Zhang, Hao Ding, Zhengxia Pan, Ling He   +7 more
doaj   +1 more source

Development of a MRI-Based Radiomics Nomogram for Prediction of Response of Patients With Muscle-Invasive Bladder Cancer to Neoadjuvant Chemotherapy

Frontiers in Oncology, 2022
ObjectiveTo develop and evaluate the performance of a magnetic resonance imaging (MRI)-based radiomics nomogram for prediction of response of patients with muscle-invasive bladder cancer (MIBC) to neoadjuvant chemotherapy (NAC).MethodsA total of 70 ...
Xinxin Zhang, Yichen Wang, Jin Zhang, Lianyu Zhang, Sicong Wang, Yan Chen   +5 more
doaj   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

The progress of multimodal imaging combination and subregion based radiomics research of cancers [PDF]

, 2022
Luyuan Zhang, Yumin Wang, Zhouying Peng, Yuxiang Weng, Zebin Fang, Feng Xiao, Chao Zhang, Zuoxu Fan, Kaiyuan Huang, Yu Zhu, Weihong Jiang, Jian Shen, Renya Zhan   +12 more
openalex   +1 more source

Fractal Anatomy of Human Organs: A Narrative Review of Structure, Function, and Clinical Perspectives

Clinical Anatomy, EarlyView.
ABSTRACT Fractal geometry describes complex, self‐similar patterns that repeat across spatial scales and is increasingly recognized as relevant in anatomical research. Indeed, the fractal organization is consistently observed in respiratory, cardiovascular, gastrointestinal, nervous, renal, hepatic, and dermatological systems.
Immacolata Belviso, Jacopo Junio Valerio Branca, Giulia Guarnieri, Annamaria Morelli, Alessandra Pacini, Daniele Della Posta, Domenico Ribatti, Ferdinando Paternostro   +7 more
wiley   +1 more source

Differentiation of retroperitoneal paragangliomas and schwannomas based on computed tomography radiomics

Scientific Reports, 2023
The purpose of this study was to differentiate the retroperitoneal paragangliomas and schwannomas using computed tomography (CT) radiomics. This study included 112 patients from two centers who pathologically confirmed retroperitoneal pheochromocytomas ...
Yuntai Cao, Zhan Wang, Jialiang Ren, Wencun Liu, Huiwen Da, Xiaotong Yang, Haihua Bao   +6 more
doaj   +1 more source

Stability of Radiomic Features across Different Region of Interest Sizes—A CT and MR Phantom Study [PDF]

, 2021
Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Bernd Hamm, Sebastian N. Nagel   +5 more
openalex   +1 more source

Use of artificial intelligence for detecting left ventricular dysfunction and predicting incident heart failure risk

ESC Heart Failure, EarlyView.
Abstract Effective medications are available for the prevention of heart failure (HF). While their use is indicated in patients with risk factors, engagement and adherence among ‘at risk’ individuals is challenging, as it is with atherosclerotic heart disease prevention.
Anna Węgrzyn‐Witek, Monika Przewlocka‐Kosmala, Wojciech Kosmala, Thomas H. Marwick   +3 more
wiley   +1 more source

A CT-based deep learning-driven tool for automatic liver tumor detection and delineation in patients with cancer

Cell Reports Medicine
Summary: Liver tumors, whether primary or metastatic, significantly impact the outcomes of patients with cancer. Accurate identification and quantification are crucial for effective patient management, including precise diagnosis, prognosis, and therapy ...
Maria Balaguer-Montero, Adrià Marcos Morales, Marta Ligero, Christina Zatse, David Leiva, Luz M. Atlagich, Nikolaos Staikoglou, Cristina Viaplana, Camilo Monreal, Joaquin Mateo, Jorge Hernando, Alejandro García-Álvarez, Francesc Salvà, Jaume Capdevila, Elena Elez, Rodrigo Dienstmann, Elena Garralda, Raquel Perez-Lopez   +17 more
doaj   +1 more source

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

European Radiology Experimental, 2023
Background Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision support models. However, despite its
Daniel Abler, Roger Schaer, Valentin Oreiller, Himanshu Verma, Julien Reichenbach, Orfeas Aidonopoulos, Florian Evéquoz, Mario Jreige, John O. Prior, Adrien Depeursinge   +9 more
doaj   +1 more source