Cargando…

Role of CT texture features for predicting outcome of pancreatic cancer patients with liver metastases

Objective: The purpose of this study was to evaluate the prognostic value of computed tomography (CT) texture features of pancreatic cancer with liver metastases. Methods: We included 39 patients with metastatic pancreatic cancer (MPC) with liver metastases and performed texture analysis on primary...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hang, Junjie, Xu, Kequn, Yin, Ruohan, Shao, Yueting, Liu, Muhan, Shi, Haifeng, Wang, Xiaoyong, Wu, Lixia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Ivyspring International Publisher 2021
Materias:	Research Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7974874/ https://www.ncbi.nlm.nih.gov/pubmed/33758611 http://dx.doi.org/10.7150/jca.49569

Ejemplares similares

A nomogram based on CT texture features to predict the response of patients with advanced pancreatic cancer treated with chemotherapy
por: Li, Jingjing, et al.
Publicado: (2023)

Clinical significance of site-specific metastases in pancreatic cancer: a study based on both clinical trial and real-world data
por: Wu, Lixia, et al.
Publicado: (2021)

CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma – a quantitative analysis
por: Eilaghi, Armin, et al.
Publicado: (2017)

The value of enhanced CT features and texture-signatures in assessing the inflammatory infiltration of pancreatic ductal adenocarcinoma
por: Wang, Fangqing, et al.
Publicado: (2023)

Preoperative CT texture features predict prognosis after curative resection in pancreatic cancer
por: Kim, Hyung Sun, et al.
Publicado: (2019)

Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and (18)F-FDG Uptake
por: Beleù, Alessandro, et al.
Publicado: (2020)

The role of phosphoprotein phosphatases catalytic subunit genes in pancreatic cancer
por: Hang, Junjie, et al.
Publicado: (2021)

Assessment of Response to Chemotherapy in Pancreatic Cancer with Liver Metastasis: CT Texture as a Predictive Biomarker
por: Cheng, Sihang, et al.
Publicado: (2021)

The clinical implication of CD45RA(+) naïve T cells and CD45RO(+) memory T cells in advanced pancreatic cancer: a proxy for tumor biology and outcome prediction
por: Hang, Junjie, et al.
Publicado: (2019)

The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis
por: Guo, Chuangen, et al.
Publicado: (2018)

Texture Analysis of (18)F-FDG PET/CT for Differential Diagnosis Spinal Metastases
por: Fan, Xin, et al.
Publicado: (2021)

Prediction of overall survival for metastatic pancreatic cancer: Development and validation of a prognostic nomogram with data from open clinical trial and real‐world study
por: Hang, Junjie, et al.
Publicado: (2018)

Reliability of CT‐based texture features: Phantom study
por: Varghese, Bino A., et al.
Publicado: (2019)

Correlation Analysis of Gene and Radiomic Features in Colorectal Cancer Liver Metastases
por: Wang, Xuehu, et al.
Publicado: (2022)

Development and Validation of a Radiomics Nomogram for Liver Metastases Originating from Gastric and Colorectal Cancer
por: Li, Yuying, et al.
Publicado: (2023)

Discrimination of Pancreatic Serous Cystadenomas From Mucinous Cystadenomas With CT Textural Features: Based on Machine Learning
por: Yang, Jing, et al.
Publicado: (2019)

Resectable pancreatic ductal adenocarcinoma: association between preoperative CT texture features and metastatic nodal involvement
por: Fang, Wei Huan, et al.
Publicado: (2020)

Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis
por: Chen, Hai-Yan, et al.
Publicado: (2021)

CT Enhancement and 3D Texture Analysis of Pancreatic Neuroendocrine Neoplasms
por: D’Onofrio, Mirko, et al.
Publicado: (2019)

Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
por: Rizzetto, Francesco, et al.
Publicado: (2020)

Clinical characteristics and CT features of hepatic epithelioid haemangioendothelioma and comparison with those of liver metastases
por: Wang, Xiaopeng, et al.
Publicado: (2022)

ADC textural features in patients with single brain metastases improve clinical risk models
por: Nowosielski, Martha, et al.
Publicado: (2022)

Prediction of Remnant Liver Regeneration after Right Hepatectomy in Patients with Hepatocellular Carcinoma Using Preoperative CT Texture Analysis and Clinical Features
por: Zhang, Tong, et al.
Publicado: (2021)

Wood Recognition Using Image Texture Features
por: Wang, Hang-jun, et al.
Publicado: (2013)

Pericoronary radiomics texture features associated with hypercholesterolemia on a photon-counting-CT
por: Kahmann, Jannik, et al.
Publicado: (2023)

Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?
por: Rabe, Etienne, et al.
Publicado: (2022)

False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
por: Chalkidou, Anastasia, et al.
Publicado: (2015)

Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features
por: Safakish, Aryan, et al.
Publicado: (2023)

Value of CT Radiomics and Clinical Features in Predicting Bone Metastases in Patients with NSCLC
por: Chen, Lu, et al.
Publicado: (2022)

Mean platelet volume predicts survival in pancreatic cancer patients with synchronous liver metastases
por: Yin, Ji-bin, et al.
Publicado: (2018)

Cardiac CT scanning in coronary artery disease: Epicardial fat volume and its correlation with coronary artery lesions and left ventricular function
por: Yin, Ruohan, et al.
Publicado: (2020)

Liver metastases: optimizing detection with multislice CT (MSCT)
por: Silverman, Paul M
Publicado: (2005)

Cirrhosis Classification Based on Texture Classification of Random Features
por: Liu, Hui, et al.
Publicado: (2014)

Diagnostic value of baseline (18)FDG PET/CT skeletal textural features in follicular lymphoma
por: Faudemer, Julie, et al.
Publicado: (2021)

Textural features on (18)F-FDG PET/CT and dynamic contrast-enhanced MR imaging for predicting treatment response and survival of patients with hypopharyngeal carcinoma
por: Wong, Chih-Kai, et al.
Publicado: (2019)

CT Texture analysis and CT scores for characterization of fluid collections
por: Meyer, Hans-Jonas, et al.
Publicado: (2021)

Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis
por: Shi, Huaqing, et al.
Publicado: (2023)

Biomarkers in Liquid Biopsies for Prediction of Early Liver Metastases in Pancreatic Cancer
por: Mehdorn, Anne-Sophie, et al.
Publicado: (2022)

Retracted: Value of CT Radiomics and Clinical Features in Predicting Bone Metastases in Patients with NSCLC
por: Imaging, Contrast Media & Molecular
Publicado: (2023)

Statistical Analysis on Impact of Image Preprocessing of CT Texture Patterns and Its CT Radiomic Feature Stability: A Phantom Study
por: Palani, Dharmendran, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_7lv0dfc2uv5b8ct1pfs9cfkumm