Application of Radiomics in Prognosing Lung Cancer Treated with Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors: A Systematic Review and Meta …
Simple Summary Lung cancer is one of the most common cancers and can be difficult to
treat. One of the treatment methods uses drugs that target a protein called the epidermal …
treat. One of the treatment methods uses drugs that target a protein called the epidermal …
See lung cancer with an AI
J Bidzińska, E Szurowska - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is the cause of many deaths that could have been avoided if
the disease had been detected at an early stage. This is possible thanks to the lung cancer …
the disease had been detected at an early stage. This is possible thanks to the lung cancer …
Evaluating the potential of delta radiomics for assessing tyrosine kinase inhibitor treatment response in non-small cell lung cancer patients
Simple Summary In our research, we analyzed the CT scans of 322 advanced lung cancer
patients over time to see how long they might remain disease-free after undergoing a …
patients over time to see how long they might remain disease-free after undergoing a …
Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model
TT Huang, YC Lin, CH Yen, J Lan, CC Yu, WC Lin… - Cancer Imaging, 2023 - Springer
Background Extranodal extension (ENE) in head and neck squamous cell carcinoma
(HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning …
(HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning …
Magnetic resonance deep learning radiomic model based on distinct metastatic vascular patterns for evaluating recurrence‐free survival in hepatocellular carcinoma
C Zhang, L Ma, X Zhang, C Lei, S Yuan… - Journal of Magnetic …, 2024 - Wiley Online Library
Background The metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly
microvascular invasion (MVI) and vessels encapsulating tumor clusters (VETC). However …
microvascular invasion (MVI) and vessels encapsulating tumor clusters (VETC). However …
End-to-end prediction of EGFR mutation status with denseformer
Accurate genotyping of the epidermal growth factor receptor (EGFR) is critical for the
treatment planning of lung adenocarcinoma. Currently, clinical identification of EGFR …
treatment planning of lung adenocarcinoma. Currently, clinical identification of EGFR …
'Plasma first'approach for detecting epidermal growth factor receptor mutation in advanced non-small cell lung carcinoma
Methods We prospectively collected blood samples of treatment naïve patients with clinical
and radiological suspicion of advanced stage NSCLC prior to obtaining tissue biopsy …
and radiological suspicion of advanced stage NSCLC prior to obtaining tissue biopsy …
[HTML][HTML] Fusion of shallow and deep features from 18F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer
Background Non-small cell lung cancer (NSCLC) patients with epidermal growth factor
receptor-sensitizing (EGFR-sensitizing) mutations exhibit a positive response to tyrosine …
receptor-sensitizing (EGFR-sensitizing) mutations exhibit a positive response to tyrosine …
Computed tomography‐based radiomics and clinical‐genetic features for brain metastasis prediction in patients with stage III/IV epidermal growth factor receptor …
M Zheng, X Sun, H Qi, M Zhang, L Xing - Thoracic Cancer, 2024 - Wiley Online Library
Purpose To evaluate the value of computed tomography (CT)‐based radiomics combined
with clinical‐genetic features in predicting brain metastasis in patients with stage III/IV …
with clinical‐genetic features in predicting brain metastasis in patients with stage III/IV …