Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer
X Yin, H Liao, H Yun, N Lin, S Li, Y Xiang… - Seminars in cancer biology, 2022 - Elsevier
Lung cancer accounts for the main proportion of malignancy-related deaths and most
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …
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 …
A machine learning model based on PET/CT radiomics and clinical characteristics predicts tumor immune profiles in non-small cell lung cancer: a retrospective …
H Tong, J Sun, J Fang, M Zhang, H Liu, R Xia… - Frontiers in …, 2022 - frontiersin.org
Background The tumor immune microenvironment (TIME) phenotypes have been reported
to mainly impact the efficacy of immunotherapy. Given the increasing use of immunotherapy …
to mainly impact the efficacy of immunotherapy. Given the increasing use of immunotherapy …
[HTML][HTML] Radiomics: a review of current applications and possibilities in the assessment of tumor microenvironment
C Xue, Q Zhou, H Xi, J Zhou - Diagnostic and Interventional Imaging, 2023 - Elsevier
With the recent success in the application of immunotherapy for treating various advanced
cancers, the tumor microenvironment has rapidly become an important field of research. The …
cancers, the tumor microenvironment has rapidly become an important field of research. The …
[HTML][HTML] A signature of estimate-stromal-immune score-based genes associated with the prognosis of lung adenocarcinoma
Q Ma, Y Chen, F Xiao, Y Hao, Z Song… - Translational Lung …, 2021 - ncbi.nlm.nih.gov
Background Immune and stromal component evaluation is necessary to establish accurate
prognostic markers for the prediction of clinical outcomes in lung adenocarcinoma (LUAD) …
prognostic markers for the prediction of clinical outcomes in lung adenocarcinoma (LUAD) …
Investigation of radiomics based intra-patient inter-tumor heterogeneity and the impact of tumor subsampling strategies
While radiomics analysis has been applied for localized cancer disease, its application to
the metastatic setting involves a non-exhaustive lesion subsampling strategy which may …
the metastatic setting involves a non-exhaustive lesion subsampling strategy which may …
Preoperative Radiomics Approach to Evaluating Tumor‐Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic …
Y Bian, C Liu, Q Li, Y Meng, F Liu… - Journal of Magnetic …, 2022 - Wiley Online Library
Background CD8+ T cell in pancreatic ductal adenocarcinoma (PDAC) is closely related to
the prognosis and treatment response of patients. Accurate preoperative CD8+ T‐cell …
the prognosis and treatment response of patients. Accurate preoperative CD8+ T‐cell …
Radiomic Signatures Associated with CD8+ Tumour-Infiltrating Lymphocytes: A Systematic Review and Quality Assessment Study
S Ramlee, D Hulse, K Bernatowicz, R Pérez-López… - Cancers, 2022 - mdpi.com
Simple Summary Immune checkpoint inhibitors can be effective drugs to treat cancer.
However, only a minority of patients derive benefits. An important determinant of treatment …
However, only a minority of patients derive benefits. An important determinant of treatment …
XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma
J Li, Z Shi, F Liu, X Fang, K Cao, Y Meng… - Frontiers in …, 2021 - frontiersin.org
Objectives This study constructed and validated a machine learning model to predict CD8+
tumor-infiltrating lymphocyte expression levels in patients with pancreatic ductal …
tumor-infiltrating lymphocyte expression levels in patients with pancreatic ductal …
A low-dose CT-based radiomic model to improve characterization and screening recall intervals of indeterminate prevalent pulmonary nodules
Lung cancer (LC) is currently one of the main causes of cancer-related deaths worldwide.
Low-dose computed tomography (LDCT) of the chest has been proven effective in …
Low-dose computed tomography (LDCT) of the chest has been proven effective in …