Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Y Meng, Y Yang, M Hu, Z Zhang, X Zhou - Seminars in Cancer Biology, 2023 - Elsevier
Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …
predicting variables of clinical interest. Recent research has demonstrated that radiomics …
Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis
W Kang, X Qiu, Y Luo, J Luo, Y Liu, J Xi, X Li… - Journal of Translational …, 2023 - Springer
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 …
given rise to the prominence of the tumor microenvironment (TME) as a critical area of …
Dual-energy CT deep learning radiomics to predict macrotrabecular-massive hepatocellular carcinoma
M Li, Y Fan, H You, C Li, M Luo, J Zhou, A Li, L Zhang… - Radiology, 2023 - pubs.rsna.org
Background It is unknown whether the additional information provided by multiparametric
dual-energy CT (DECT) could improve the noninvasive diagnosis of the aggressive …
dual-energy CT (DECT) could improve the noninvasive diagnosis of the aggressive …
MRI‐based radiomics and deep learning in biological characteristics and prognosis of hepatocellular carcinoma: Opportunities and challenges
T Xia, B Zhao, B Li, Y Lei, Y Song… - Journal of Magnetic …, 2024 - Wiley Online Library
Hepatocellular carcinoma (HCC) is the fifth most common malignancy and the third leading
cause of cancer‐related death worldwide. HCC exhibits strong inter‐tumor heterogeneity …
cause of cancer‐related death worldwide. HCC exhibits strong inter‐tumor heterogeneity …
Towards interpretable imaging genomics analysis: Methodological developments and applications
X Cen, W Dong, W Lv, Y Zhao, F Dubee, AFA Mentis… - Information …, 2023 - Elsevier
Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …
[HTML][HTML] Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi …
B Chen, Y Mao, J Li, Z Zhao, Q Chen, Y Yu… - Computers in Biology …, 2023 - Elsevier
Background Even after curative resection, the prognosis for patients with intrahepatic
cholangiocarcinoma (iCCA) remains disappointing due to the extremely high incidence of …
cholangiocarcinoma (iCCA) remains disappointing due to the extremely high incidence of …
From imaging to clinical outcome: dual-region CT radiomics predicting FOXM1 expression and prognosis in hepatocellular carcinoma
X Chen, Y Tang, D Wu, R Li, Z Lin, X Zhou… - Frontiers in …, 2023 - frontiersin.org
Background Liver cancer, especially hepatocellular carcinoma (HCC), remains a significant
global health challenge. Traditional prognostic indicators for HCC often fall short in …
global health challenge. Traditional prognostic indicators for HCC often fall short in …
A radiomics approach to identify immunologically active tumor in patients with head and neck squamous cell carcinomas
Simple Summary We recently established a biological classification of head and neck
cancers into hot and cold tumors, which were associated with different responses to …
cancers into hot and cold tumors, which were associated with different responses to …
Intertumoral Heterogeneity Based on MRI Radiomic Features Estimates Recurrence in Hepatocellular Carcinoma
M Dong, C Li, L Zhang, J Zhou, Y Xiao… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Hepatocellular carcinoma (HCC) heterogeneity impacts prognosis, and
imaging is a potential indicator. Purpose To characterize HCC image subtypes in MRI and …
imaging is a potential indicator. Purpose To characterize HCC image subtypes in MRI and …
Leveraging radiomics and AI for precision diagnosis and prognostication of liver malignancies
M Haghshomar, D Rodrigues, A Kalyan… - Frontiers in …, 2024 - frontiersin.org
Liver tumors, whether primary or metastatic, have emerged as a growing concern with
substantial global health implications. The timely identification and characterization of liver …
substantial global health implications. The timely identification and characterization of liver …