Cargando…

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification of EGFR genotype requires biopsy and sequence testing which is invasive and may suffer from the difficulty of acce...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Shuo, Shi, Jingyun, Ye, Zhaoxiang, Dong, Di, Yu, Dongdong, Zhou, Mu, Liu, Ying, Gevaert, Olivier, Wang, Kun, Zhu, Yongbei, Zhou, Hongyu, Liu, Zhenyu, Tian, Jie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	European Respiratory Society 2019
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437603/ https://www.ncbi.nlm.nih.gov/pubmed/30635290 http://dx.doi.org/10.1183/13993003.00986-2018

Ejemplares similares

CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses
por: Mei, Dongdong, et al.
Publicado: (2018)

Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning
por: Zhao, Wei, et al.
Publicado: (2019)

EGFR unusual mutation status in lung adenocarcinomas
por: Alarcão, Ana, et al.
Publicado: (2010)

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
por: Wang, Shuo, et al.
Publicado: (2017)

Correlation between EGFR mutation status and F(18)‐fluorodeoxyglucose positron emission tomography‐computed tomography image features in lung adenocarcinoma
por: Zhu, Lei, et al.
Publicado: (2019)

Deep Learning to Predict EGFR Mutation and PD-L1 Expression Status in Non-Small-Cell Lung Cancer on Computed Tomography Images
por: Wang, Chengdi, et al.
Publicado: (2021)

Investigate the mechanisms of Chinese medicine Fuzhengkangai towards EGFR mutation-positive lung adenocarcinomas by network pharmacology
por: Bing, Zhitong, et al.
Publicado: (2018)

Nomogram based on preoperative CT imaging predicts the EGFR mutation status in lung adenocarcinoma
por: Zhang, Guojin, et al.
Publicado: (2020)

Predictive radiogenomics modeling of EGFR mutation status in lung cancer
por: Gevaert, Olivier, et al.
Publicado: (2017)

Effect of platinum-based chemotherapy on EGFR gene mutation status in lung adenocarcinoma
por: Wang, Yuli, et al.
Publicado: (2018)

The Correlation between EGFR Mutation Status and DNA Content of Lung Adenocarcinoma Cells in Pleural Effusion
por: Du, Yun, et al.
Publicado: (2020)

Correlation between high-resolution computed tomography lung nodule characteristics and EGFR mutation in lung adenocarcinomas
por: Nie, Yunqiang, et al.
Publicado: (2019)

A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer
por: Ding, Kexin, et al.
Publicado: (2023)

Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma
por: Zhang, Baihua, et al.
Publicado: (2021)

Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning
por: Qu, Hui, et al.
Publicado: (2021)

Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
por: Qiu, Xiaowei, et al.
Publicado: (2018)

Deep learning analysis to predict EGFR mutation status in lung adenocarcinoma manifesting as pure ground-glass opacity nodules on CT
por: Yoon, Hyun Jung, et al.
Publicado: (2022)

Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma
por: Zhou, Xiuzhi, et al.
Publicado: (2018)

EGFR Mutation Status in Lung Adenocarcinoma-Associated Malignant Pleural Effusion and Efficacy of EGFR Tyrosine Kinase Inhibitors
por: Yang, Jiyoul, et al.
Publicado: (2018)

Prediction of EGFR Mutation Status Based on (18)F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
por: Yin, Guotao, et al.
Publicado: (2021)

EGFR Expression and KRAS and BRAF Mutational Status in Intestinal-Type Sinonasal Adenocarcinoma
por: Szablewski, Vanessa, et al.
Publicado: (2013)

Genomic and Transcriptional Alterations in Lung Adenocarcinoma in Relation to EGFR and KRAS Mutation Status
por: Planck, Maria, et al.
Publicado: (2013)

Brain metastases in lung adenocarcinoma: impact of EGFR mutation status on incidence and survival
por: Stanic, Karmen, et al.
Publicado: (2014)

EGFR gene-mutation status correlated with therapeutic decision making in lung adenocarcinoma
por: Ren, Yaoyao, et al.
Publicado: (2015)

The impact of PRDX4 and the EGFR mutation status on cellular proliferation in lung adenocarcinoma
por: Mizutani, Kenichi, et al.
Publicado: (2019)

Detected EGFR mutation in cerebrospinal fluid of lung adenocarcinoma patients with meningeal metastasis
por: Rong, Jiang, et al.
Publicado: (2016)

Significance of thyroid transcription factor 1 and Napsin A for prompting the status of EGFR mutations in lung adenocarcinoma patients
por: Ren, Xiaolu, et al.
Publicado: (2022)

EGFR mutation, smoking, and gender in advanced lung adenocarcinoma
por: Tseng, Chien-Hua, et al.
Publicado: (2017)

Effect of autologous NK cell immunotherapy on advanced lung adenocarcinoma with EGFR mutations
por: Hong, Guodai, et al.
Publicado: (2019)

Corrigendum: Prediction of EGFR Mutation Status Based on (18)F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
por: Yin, Guotao, et al.
Publicado: (2021)

Female genital tract metastasis of lung adenocarcinoma with EGFR mutations: Report of two cases
por: Yan, Run-Lan, et al.
Publicado: (2019)

Detection of EGFR Mutations in Cerebrospinal Fluid of EGFR-Mutant Lung Adenocarcinoma With Brain Metastases
por: Shi, Liang, et al.
Publicado: (2021)

Impact of Pulmonary Tuberculosis on the EGFR Mutational Status and Clinical Outcome in Patients with Lung Adenocarcinoma
por: Hwang, In Kyoung, et al.
Publicado: (2019)

An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients
por: Prencipe, Berardino, et al.
Publicado: (2023)

Real-World Survival Outcomes Based on EGFR Mutation Status in Chinese Patients With Lung Adenocarcinoma After Complete Resection: Results From the ICAN Study
por: Yang, Xue-Ning, et al.
Publicado: (2021)

The Impact of Sequence of Chemotherapy and EGFR-TKI Treatment on Different EGFR Mutation Lung Adenocarcinoma
por: Chung, Fu-Tsai, et al.
Publicado: (2015)

Thick-wall cavity predicts worse progression-free survival in lung adenocarcinoma treated with first-line EGFR-TKIs
por: Zhou, Fei, et al.
Publicado: (2018)

Genetic Associations of Visfatin Polymorphisms with EGFR Status and Clinicopathologic Characteristics in Lung Adenocarcinoma
por: Chang, Sunny Li-Yun, et al.
Publicado: (2022)

Immunogenicity of Del19 EGFR mutations in Chinese patients affected by lung adenocarcinoma
por: Pan, Deng, et al.
Publicado: (2019)

Efficacy and safety of afatinib in a Chinese population with advanced lung adenocarcinoma with sensitive EGFR mutations
por: Wang, Shouzheng, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_lf9s1nc3sqdud4bl7f91qa6pan