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 **, 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 **a, 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 …
Lactic acid: The culprit behind the immunosuppressive microenvironment in hepatocellular carcinoma
X Peng, Z He, D Yuan, Z Liu, P Rong - Biochimica et Biophysica Acta (BBA) …, 2024 - Elsevier
As a solid tumor with high glycolytic activity, hepatocellular carcinoma (HCC) produces
excess lactic acid and increases extracellular acidity, thus forming a unique …
excess lactic acid and increases extracellular acidity, thus forming a unique …
Immunotherapy in liver cancer: overcoming the tolerogenic liver microenvironment
Y Liu, H Yang, T Li, N Zhang - Frontiers in Immunology, 2024 - frontiersin.org
Liver cancer is a major global health concern, ranking among the top causes of cancer-
related deaths worldwide. Despite advances in medical research, the prognosis for liver …
related deaths worldwide. Despite advances in medical research, the prognosis for liver …
Towards interpretable imaging genomics analysis: methodological developments and applications
X Cen, W Dong, W Lv, Y Zhao, F Dubee, AFA Mentis… - Information …, 2024 - 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 …
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Y Guo, T Li, B Gong, Y Hu, S Wang, L Yang… - Advanced …, 2025 - Wiley Online Library
With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …
[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 …
CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment
G Wang, F Ding, K Chen, Z Liang, P Han… - Journal of Translational …, 2024 - Springer
Abstract Background Proliferative hepatocellular carcinomas (HCCs) is a class of
aggressive tumors with poor prognosis. We aimed to construct a computed tomography (CT) …
aggressive tumors with poor prognosis. We aimed to construct a computed tomography (CT) …