Results 111 to 120 of about 82,903 (262)

Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm

European Radiology, 2021
To develop radiomics-based nomograms for preoperative microvascular invasion (MVI) and recurrence-free survival (RFS) prediction in patients with solitary hepatocellular carcinoma (HCC) ≤ 5 cm.
Huanhuan Chong, Li Yang, R. Sheng, Yang-Li Yu, D. Wu, Sheng-xiang Rao, Chun Yang, M. Zeng   +7 more
semanticscholar   +1 more source

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

Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter

EJNMMI Research, 2022
Background To investigate the value of 18F-FDG PET/CT molecular radiomics combined with a clinical model in predicting thoracic lymph node metastasis (LNM) in invasive lung adenocarcinoma (≤ 3 cm). Methods A total of 528 lung adenocarcinoma patients were
Cheng Chang, Maomei Ruan, Bei Lei, Hong Yu, Wenlu Zhao, Yaqiong Ge, Shaofeng Duan, Wenjing Teng, Qianfu Wu, Xiaohua Qian, Lihua Wang, Hui Yan, Ciyi Liu, Liu Liu, Jian Feng, Wenhui Xie   +15 more
doaj   +1 more source

Development and validation of a MRI-based combined radiomics nomogram for differentiation in chondrosarcoma

Frontiers in Oncology, 2023
ObjectiveThis study aims to develop and validate the performance of an unenhanced magnetic resonance imaging (MRI)-based combined radiomics nomogram for discrimination between low-grade and high-grade in chondrosarcoma.MethodsA total of 102 patients with
Xiaofen Li, Xiaofen Li, Min Lan, Xiaolian Wang, Jingkun Zhang, Lianggeng Gong, Fengxiang Liao, Huashan Lin, Shixiang Dai, Bing Fan, Wentao Dong   +10 more
doaj   +1 more source

Radiomics for rectal cancer

Translational Cancer Research, 2016
Diagnosis and treatment of locally advanced rectal cancer is mainly based on multimodal approach for staging, planning and treatment. The modern radiological and imaging techniques offer, day after day, the possibility to characterize tumor lesions in a more precise and prognostically valuable way. In rectal cancer, extending often the characterization
Dinapoli N., Casa C., Barbaro B., Chiloiro G. V., Damiani A., Di Matteo M., Farchione A., Gambacorta M. A., Gatta R., Lanzotti V., Masciocchi C., Valentini V.   +11 more
openaire   +3 more sources

The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges

Theranostics, 2019
Medical imaging can assess the tumor and its environment in their entirety, which makes it suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in computational methods, especially in artificial intelligence for medical
Zhenyu Liu, Shuo Wang, D. Dong, Jingwei Wei, Cheng Fang, Xuezhi Zhou, Kai Sun, Longfei Li, Bo Li, Meiyun Wang, Jie Tian   +10 more
semanticscholar   +1 more source

Radiogenomics and Radiomics in Liver Cancers [PDF]

Diagnostics, 2018
Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile.
Aman Saini, Ilana Breen, Yash Pershad, Sailendra Naidu, M. Grace Knuttinen, Sadeer Alzubaidi, Rahul Sheth, Hassan Albadawi, Malia Kuo, Rahmi Oklu   +9 more
openaire   +3 more sources

Sensor, Signal, and Imaging Informatics in 2017. [PDF]

, 2018
Objective To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.Methods PubMed® and Web of Science® were searched to identify the scientific publications published in 2017 that addressed sensors ...
Deserno, Thomas M, Hsu, William, Kahn, Charles E, Section Editors for the IMIA Yearbook Section on Sensor, Signal and Imaging Informatics   +3 more
core  

Precision Medicine in Radiomics and Radiogenomics

Journal of Personalized Medicine, 2022
Precision medicine is an innovative and emerging approach to treatment that accounts for individual variability in genetic and environmental factors to identify and utilize the specific biomedical profile of a patient’s disease [...]
openaire   +2 more sources