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[HTML][HTML] Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …
Radiogenomics: a key component of precision cancer medicine
Z Liu, T Duan, Y Zhang, S Weng, H Xu, Y Ren… - British Journal of …, 2023 - nature.com
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …
has been widely applied to address tumour heterogeneity and predict immune …
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 **ang… - 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 …
[HTML][HTML] Artificial intelligence in lung cancer imaging: unfolding the future
M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …
an essential role in each phase of lung cancer management, from detection to assessment …
[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
Clinical application of AI-based PET images in oncological patients
J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …
The application of radiomics in predicting gene mutations in cancer
Y Qi, T Zhao, M Han - European radiology, 2022 - Springer
With the development of genome sequencing, the role of molecular targeted therapy in
cancer is becoming increasingly important. However, genetic testing remains expensive …
cancer is becoming increasingly important. However, genetic testing remains expensive …
Artificial intelligence-based treatment decisions: A new era for NSCLC
Simple Summary Lung cancer therapeutics have dramatically improved in recent years.
Indeed, precision oncology could be exemplified by non-small cell lung cancer (NSCLC) …
Indeed, precision oncology could be exemplified by non-small cell lung cancer (NSCLC) …
Identification and validation of a ferroptosis-related long non-coding RNA signature for predicting the outcome of lung adenocarcinoma
Z Zheng, Q Zhang, W Wu, Y Xue, S Liu, Q Chen… - Frontiers in …, 2021 - frontiersin.org
Background Ferroptosis is a recently recognized type of programmed cell death that is
involved in the biological processes of various cancers. However, the mechanism of …
involved in the biological processes of various cancers. However, the mechanism of …
The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods
Purpose This study aimed to examine the robustness of positron emission tomography
(PET) radiomic features extracted via different segmentation methods before and after …
(PET) radiomic features extracted via different segmentation methods before and after …