Cargando…

Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction

BACKGROUND: Gastric cancer is one of the leading causes of cancer death in the world. Improving gastric cancer survival prediction can enhance patient prognostication and treatment planning. METHODS: In this study, we performed gastric cancer survival prediction using machine learning and multi-moda...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hao, Degan, Li, Qiong, Feng, Qiu-Xia, Qi, Liang, Liu, Xi-Sheng, Arefan, Dooman, Zhang, Yu-Dong, Wu, Shandong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847133/ https://www.ncbi.nlm.nih.gov/pubmed/35186707 http://dx.doi.org/10.3389/fonc.2021.725889

Ejemplares similares

Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer
por: Li, Huanhuan, et al.
Publicado: (2021)

Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes
por: Arefan, Dooman, et al.
Publicado: (2021)

A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma
por: Yang, Lu, et al.
Publicado: (2022)

Prognostic value of computed tomography radiomics features in patients with gastric neuroendocrine neoplasm
por: Yang, Zhi-hao, et al.
Publicado: (2023)

Combination of clinical, radiomic, and “delta” radiomic features in survival prediction of metastatic gastroesophageal adenocarcinoma
por: Krishna, Satheesh, et al.
Publicado: (2023)

Diagnosis of Serosal Invasion in Gastric Adenocarcinoma by Dual-Energy CT Radiomics: Focusing on Localized Gastric Wall and Peritumoral Radiomics Features
por: Yang, Li, et al.
Publicado: (2022)

A machine and human reader study on AI diagnosis model safety under attacks of adversarial images
por: Zhou, Qianwei, et al.
Publicado: (2021)

Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
por: Gkika, Eleni, et al.
Publicado: (2020)

Are radiomic spleen features useful for assessing the differentiation status of advanced gastric cancer?
por: Lyu, Dongbo, et al.
Publicado: (2023)

Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study
por: Lin, Ziwei, et al.
Publicado: (2021)

Establishment and validation of novel MRI radiomic feature-based prognostic models to predict progression-free survival in locally advanced rectal cancer
por: Xie, Fei, et al.
Publicado: (2022)

A Potential Prognostic Marker for Recognizing VEGF-Positive Hepatocellular Carcinoma Based on Magnetic Resonance Radiomics Signature
por: Fan, Tingting, et al.
Publicado: (2022)

Deep Learning-Based Protein Features Predict Overall Survival and Chemotherapy Benefit in Gastric Cancer
por: Zhao, Xuefei, et al.
Publicado: (2022)

Methodological quality of radiomic-based prognostic studies in gastric cancer: a cross-sectional study
por: Jiang, Tianxiang, et al.
Publicado: (2023)

Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors
por: Xue, Gongbo, et al.
Publicado: (2023)

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
por: Zhang, Xingping, et al.
Publicado: (2022)

Reproducibility and Repeatability of CBCT-Derived Radiomics Features
por: Wang, Hao, et al.
Publicado: (2021)

Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography
por: Guo, Fei, et al.
Publicado: (2022)

Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma
por: Cheng, Jun, et al.
Publicado: (2021)

Evaluation of Epidermal Growth Factor Receptor 2 Status in Gastric Cancer by CT-Based Deep Learning Radiomics Nomogram
por: Guan, Xiao, et al.
Publicado: (2022)

A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma
por: Tong, Yahan, et al.
Publicado: (2022)

Radiomics Based on Digital Mammography Helps to Identify Mammographic Masses Suspicious for Cancer
por: Wang, Guangsong, et al.
Publicado: (2022)

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

Dual-Energy Computed Tomography-Based Radiomics to Predict Peritoneal Metastasis in Gastric Cancer
por: Chen, Yong, et al.
Publicado: (2021)

Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction
por: Shboul, Zeina A., et al.
Publicado: (2019)

Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer
por: Ching, Jerry C. F., et al.
Publicado: (2023)

Radiomics model based on contrast-enhanced CT texture features for pretreatment prediction of overall survival in esophageal neuroendocrine carcinoma
por: Zhou, Yue, et al.
Publicado: (2023)

Establishment of the Radiologic Tumor Invasion Index Based on Radiomics Splenic Features and Clinical Factors to Predict Serous Invasion of Gastric Cancer
por: Pan, Bujian, et al.
Publicado: (2021)

Radiomics Nomogram for Prediction of Peritoneal Metastasis in Patients With Gastric Cancer
por: Huang, Weicai, et al.
Publicado: (2020)

Establishment and Validation of a Novel MRI Radiomics Feature-Based Prognostic Model to Predict Distant Metastasis in Endemic Nasopharyngeal Carcinoma
por: Li, Hao-Jiang, et al.
Publicado: (2022)

The combination of radiomics features and VASARI standard to predict glioma grade
por: You, Wei, et al.
Publicado: (2023)

Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer
por: Chan, Lawrence Wing-Chi, et al.
Publicado: (2022)

Preoperative computed tomography-based tumoral radiomic features prediction for overall survival in resectable non-small cell lung cancer
por: Peng, Bo, et al.
Publicado: (2023)

Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma
por: Wu, Jiangfeng, et al.
Publicado: (2022)

Prognostic Value of Pre-Treatment CT Radiomics and Clinical Factors for the Overall Survival of Advanced (IIIB–IV) Lung Adenocarcinoma Patients
por: Hong, Duo, et al.
Publicado: (2021)

Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules
por: Huang, Wenjun, et al.
Publicado: (2023)

MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2022)

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
por: Wu, Weimiao, et al.
Publicado: (2016)

Intratumoral and Peritumoral Radiomics of Contrast-Enhanced CT for Prediction of Disease-Free Survival and Chemotherapy Response in Stage II/III Gastric Cancer
por: Li, Junmeng, et al.
Publicado: (2020)

A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study
por: Wei, Wei, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_h1url23i1e2asgdeq71p8hbhm9