Results 81 to 90 of about 48,979 (300)

Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma

Journal of Cancer Research and Clinical Oncology
Purpose This study aimed to evaluate radiomic models’ ability to predict hypoxia-related biomarker expression in clear cell renal cell carcinoma (ccRCC).
Yijun Shao, Harmony S. Cen, Anu Dhananjay, S. J. Pawan, Xiaomeng Lei, Inderbir S. Gill, Anishka D’souza, Vinay A. Duddalwar   +7 more
doaj   +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

Exploring the Value Realization and Management of Healthcare Data Elements in the Context of New Quality Productive Forces

Health Care Science, EarlyView.
With the rapid advancement of information technology, data has become a key driver of social progress, particularly in the medical field. The accumulation and innovative application of medical data have not only reshaped the structure of medical production factors but also provided a strong impetus for the development of new productivity.
Zhixuan Yu, Jiaxuan Wei, Jianlin Wang, Jie Lu, Pengfei Cao   +4 more
wiley   +1 more source

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

Measurement Tools for Radiation‐Induced Fibrosis in Head and Neck Cancer: A Systematic Review

Head &Neck, EarlyView.
ABSTRACT Background Radiation‐induced fibrosis is a common, often debilitating late effect of head and neck cancer (HNC) treatment. An updated systematic review is needed to evaluate the reliability, validity, and clinical utility of fibrosis measurement tools.
Vanessa Helou, Pooja D. Reddy, Purva H. Rumde, Mary L. Klem, Sagar G. Kansara, Oldrich Virag, Yvonne M. Mowery, Nicole N. Scheff, Matthew E. Spector, Shaum Sridharan, Marci L. Nilsen, Kevin J. Contrera   +11 more
wiley   +1 more source

Utility of Machine Learning and Radiomics Based on Cavity for Predicting the Therapeutic Response of MDR-TB

, 2023
Xinna Lv,1,* Ye Li,1,* Botao Cai,2 Wei He,1 Ren Wang,1 Minghui Chen,1 Junhua Pan,1 Dailun Hou1 1Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China; 2Department of Radiology ...
Cai B, Li Y, Pan J, Wang R, Lv X, He W, Chen M, Hou D   +7 more
core  

A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?

npj Precision Oncology
The search for understanding immunotherapy response has sparked interest in diverse areas of oncology, with artificial intelligence (AI) and radiomics emerging as promising tools, capable of gathering large amounts of information to identify suitable ...
Marta Ligero, Bente Gielen, Victor Navarro, Pablo Cresta Morgado, Olivia Prior, Rodrigo Dienstmann, Paolo Nuciforo, Stefano Trebeschi, Regina Beets-Tan, Evis Sala, Elena Garralda, Raquel Perez-Lopez   +11 more
doaj   +1 more source

A Study on Energy Consumption in AI-Driven Medical Image Segmentation

Journal of Imaging
As artificial intelligence advances in medical image analysis, its environmental impact remains largely overlooked. This study analyzes the energy demands of AI workflows for medical image segmentation using the popular Kidney Tumor Segmentation-2019 ...
R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo   +6 more
doaj   +1 more source

Sizing and concentration analysis of cfDNA using Biabooster technology: Results from a prospective plasma‐based collection of 77 patients with locally advanced unresectable esophageal cancer

International Journal of Cancer, EarlyView.
What's New? This study introduces a novel approach for detecting locally advanced esophageal carcinoma using cell‐free DNA (cfDNA) analysis through a highly sensitive fragmentome assay. Unlike traditional sequencing‐based methods that are limited by the absence of specific mutations in esophageal tumors, our method offers an alternative by quantifying ...
Anouchka Modesto, Sophie Gibert, Caroline Delmas, David Tougeron, Amaury Paumier, Alexandre Taillez, Samuel Le Sourd, Delphine Argo Leignel, Philippe Ronchin, Ariane Darut Jouve, Véronique Vendrely, Olivier Riou, Jérôme Martin‐Babau, Thomas Leroy, Laurent Quéro, Naïma Hanoun, Pierre Cordelier, Veronica Pezzella, Jean Pierre Delord, Rosine Guimbaud, Elizabeth Moyal, Catherine Seva   +21 more
wiley   +1 more source

Radiomics: A primer for the radiation oncologist

Cancer/Radiothérapie, 2020
Radiomics are a set of methods used to leverage medical imaging and extract quantitative features that can characterize a patient's phenotype. All modalities can be used with several different software packages. Specific informatics methods can then be used to create meaningful predictive models.
J-E, Bibault, L, Xing, P, Giraud, R, El Ayachy, N, Giraud, P, Decazes, A, Burgun, P, Giraud   +7 more
openaire   +5 more sources