[HTML][HTML] Radiomics and artificial intelligence for precision medicine in lung cancer treatment

M Chen, SJ Copley, P Viola, H Lu… - Seminars in cancer biology, 2023 - Elsevier
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 …

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 …

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 …

[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 …

[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications

R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
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 …

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 …

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 …

Artificial intelligence-based treatment decisions: A new era for NSCLC

O Fiste, I Gkiozos, A Charpidou, NK Syrigos - Cancers, 2024 - mdpi.com
Simple Summary Lung cancer therapeutics have dramatically improved in recent years.
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 …

The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods

SA Hosseini, I Shiri, P Ghaffarian, G Hajianfar… - Annals of Nuclear …, 2024 - Springer
Purpose This study aimed to examine the robustness of positron emission tomography
(PET) radiomic features extracted via different segmentation methods before and after …