[HTML][HTML] A machine learning model based on PET/CT radiomics and clinical characteristics predicts ALK rearrangement status in lung adenocarcinoma

C Chang, X Sun, G Wang, H Yu, W Zhao, Y Ge… - Frontiers in …, 2021 - frontiersin.org
Objectives Anaplastic lymphoma kinase (ALK) rearrangement status examination has been
widely used in clinic for non-small cell lung cancer (NSCLC) patients in order to find patients …

[HTML][HTML] Clinical, conventional CT and radiomic feature-based machine learning models for predicting ALK rearrangement status in lung adenocarcinoma patients

L Song, Z Zhu, L Mao, X Li, W Han, H Du, H Wu… - Frontiers in …, 2020 - frontiersin.org
Objectives: To predict the anaplastic lymphoma kinase (ALK) mutations in lung
adenocarcinoma patients non-invasively with machine learning models that combine …

The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell …

Z Song, T Liu, L Shi, Z Yu, Q Shen, M Xu… - European Journal of …, 2021 - Springer
Purpose This study aimed to investigate the deep learning model (DLM) combining
computed tomography (CT) images and clinicopathological information for predicting …

ALK Molecular Phenotype in Non–Small Cell Lung Cancer: CT Radiogenomic Characterization

S Yamamoto, RL Korn, R Oklu, C Migdal, MB Gotway… - Radiology, 2014 - pubs.rsna.org
Purpose To present a radiogenomic computed tomographic (CT) characterization of
anaplastic lymphoma kinase (ALK)-rearranged non–small cell lung cancer (NSCLC)(ALK+) …

Clinical characteristics associated with ALK rearrangements in never-smokers with pulmonary adenocarcinoma

JM Sun, M Lira, K Pandya, YL Choi, JS Ahn, M Mao… - Lung cancer, 2014 - Elsevier
Objectives Anaplastic lymphoma kinase (ALK) rearrangement is a validated predictive
marker to define patients with non-small cell lung cancer (NSCLC) who can benefit from …

Computed tomography imaging characteristics of non–small-cell lung cancer with anaplastic lymphoma kinase rearrangements: a systematic review and meta …

DP Mendoza, J Stowell, A Muzikansky, JAO Shepard… - Clinical Lung Cancer, 2019 - Elsevier
Introduction Several studies have suggested that non–small-cell lung cancer (NSCLC)
patients who harbor anaplastic lymphoma kinase (ALK) rearrangement might have different …

[HTML][HTML] Imbalanced data correction based PET/CT radiomics model for predicting lymph node metastasis in clinical stage T1 lung adenocarcinoma

J Lv, X Chen, X Liu, D Du, W Lv, L Lu, H Wu - Frontiers in Oncology, 2022 - frontiersin.org
Objectives To develop and validate the imbalanced data correction based PET/CT radiomics
model for predicting lymph node metastasis (LNM) in clinical stage T1 lung adenocarcinoma …

[HTML][HTML] Accurate and economical detection of ALK positive lung adenocarcinoma with semiquantitative immunohistochemical screening

J Zhou, J Zhao, K Sun, B Wang, L Wang, X Chen… - PloS one, 2014 - journals.plos.org
Right detection of anaplastic lymphoma kinase (ALK) gene rearrangement is pivotal to
selection of patients with lung adenocarcinoma for ALK-targeted therapy. We explored the …

Radiologic characteristics of surgically resected non-small cell lung cancer with ALK rearrangement or EGFR mutations

TJ Kim, CT Lee, SH Jheon, JS Park… - The Annals of thoracic …, 2016 - Elsevier
Background Radiogenomic features are predictive of anaplastic lymphoma kinase (ALK)
rearrangement in surgically resected non-small cell lung cancer (NSCLC). Methods ALK …

[HTML][HTML] Fluorescence in Situ Hybridization (FISH) for Detecting Anaplastic Lymphoma Kinase (ALK) Rearrangement in Lung Cancer: Clinically Relevant Technical …

Z Tang, L Wang, G Tang, LJ Medeiros - International journal of molecular …, 2019 - mdpi.com
In 2011, the Vysis Break Apart ALK fluorescence in situ hybridization (FISH) assay was
approved by the United States Food and Drug Administration as a companion diagnostic for …