Results 21 to 30 of about 71,655 (241)

Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules

Frontiers in Oncology, 2021
BackgroundWith the improvement of ultrasound imaging resolution and the application of various new technologies, the detection rate of thyroid nodules has increased greatly in recent years. However, there are still challenges in accurately diagnosing the
Shi Yan Guo, Ping Zhou, Yan Zhang, Li Qing Jiang, Yong Feng Zhao   +4 more
doaj   +1 more source

Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma

Scientific Reports, 2021
Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor.
Alonso Garcia-Ruiz, Pablo Naval-Baudin, Marta Ligero, Albert Pons-Escoda, Jordi Bruna, Gerard Plans, Nahum Calvo, Monica Cos, Carles Majós, Raquel Perez-Lopez   +9 more
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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

Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics Nomogram

Frontiers in Oncology, 2021
ObjectiveTo build and validate an MRI-based radiomics nomogram to predict the therapeutic response to neoadjuvant chemoradiotherapy (nCRT) in rectal mucinous adenocarcinoma (RMAC).MethodsTotally, 92 individuals with pathologically confirmed RMAC ...
Zhihui Li, Shuai Li, Shuqin Zang, Xiaolu Ma, Fangying Chen, Yuwei Xia, Liuping Chen, Fu Shen, Yong Lu, Jianping Lu   +9 more
doaj   +1 more source

How Radiomics Can Improve Breast Cancer Diagnosis and Treatment

Journal of Clinical Medicine, 2023
Recent technological advances in the field of artificial intelligence hold promise in addressing medical challenges in breast cancer care, such as early diagnosis, cancer subtype determination and molecular profiling, prediction of lymph node metastases,
F. Pesapane, P. De Marco, Anna Rapino, Eleonora Lombardo, L. Nicosia, P. Tantrige, A. Rotili, A. Bozzini, S. Penco, V. Dominelli, C. Trentin, F. Ferrari, Mariagiorgia Farina, L. Meneghetti, A. Latronico, F. Abbate, D. Origgi, G. Carrafiello, E. Cassano   +18 more
semanticscholar   +1 more source

Computational Radiomics System to Decode the Radiographic Phenotype.

Cancer Research, 2017
Radiomics aims to quantify phenotypic characteristics on medical imaging through the use of automated algorithms. Radiomic artificial intelligence (AI) technology, either based on engineered hard-coded algorithms or deep learning methods, can be used to ...
Joost J. M. van Griethuysen, Andrey Fedorov, C. Parmar, A. Hosny, Nicole Aucoin, V. Narayan, R. Beets-Tan, J. Fillion-Robin, S. Pieper, H. Aerts   +9 more
semanticscholar   +1 more source

Radiomics Analysis for Predicting Epilepsy in Patients With Unruptured Brain Arteriovenous Malformations

Frontiers in Neurology, 2021
Objectives: To investigate the association between radiomics features and epilepsy in patients with unruptured brain arteriovenous malformations (bAVMs) and to develop a prediction model based on radiomics features and clinical characteristics for bAVM ...
Shaozhi Zhao, Shaozhi Zhao, Qi Zhao, Yuming Jiao, Yuming Jiao, Hao Li, Hao Li, Jiancong Weng, Jiancong Weng, Ran Huo, Ran Huo, Jie Wang, Jie Wang, Hongyuan Xu, Hongyuan Xu, Junze Zhang, Junze Zhang, Yan Li, Zhenzhou Wu, Shuo Wang, Shuo Wang, Yong Cao, Yong Cao, Jizong Zhao, Jizong Zhao   +24 more
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Radiomics: Images Are More than Pictures, They Are Data

Radiology, 2015
This report describes the process of radiomics, its challenges, and its potential power to facilitate better clinical decision making, particularly in the care of patients with cancer.
R. Gillies, Paul Kinahan, H. Hricak
semanticscholar   +1 more source

Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI

BMC Medical Imaging, 2023
Background The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer.
Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, Mahmoud Mohammadi Sadr, Samir Moniri, Sahel Heydarheydari, S. M. Rezaeijo   +6 more
semanticscholar   +1 more source

Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma

Frontiers in Oncology, 2021
BackgroundPostoperative cerebral edema is common in patients with meningioma. It is of great clinical significance to predict the postoperative cerebral edema exacerbation (CEE) for the development of individual treatment programs in patients with ...
Bing Xiao, Yanghua Fan, Zhe Zhang, Zilong Tan, Huan Yang, Wei Tu, Lei Wu, Xiaoli Shen, Hua Guo, Zhen Wu, Xingen Zhu   +10 more
doaj   +1 more source