Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer.
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State-Of-The-Art and Recent Advances in Quantification for Therapeutic Follow-Up in Oncology Using PETCharacterization of PET/CT images using texture analysis: the past, the present… any future?Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology.Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients.Comparison of texture features derived from static and respiratory-gated PET images in non-small cell lung cancer18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer.Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards.The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis.Respiration-Averaged CT for Attenuation Correction of PET Images - Impact on PET Texture Features in Non-Small Cell Lung Cancer PatientsEarly Change in Metabolic Tumor Heterogeneity during Chemoradiotherapy and Its Prognostic Value for Patients with Locally Advanced Non-Small Cell Lung Cancer.A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET ImagesPrognostic value of preoperative intratumoral FDG uptake heterogeneity in early stage uterine cervical cancer.Applications and limitations of radiomicsA preliminary investigation into textural features of intratumoral metabolic heterogeneity in (18)F-FDG PET for overall survival prognosis in patients with bulky cervical cancer treated with definitive concurrent chemoradiotherapyFDG uptake heterogeneity in FIGO IIb cervical carcinoma does not predict pelvic lymph node involvement.Functional imaging to predict tumor response in locally advanced cervical cancer.Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.Correlation of pretreatment 18F-FDG PET tumor textural features with gene expression in pharyngeal cancer and implications for radiotherapy-based treatment outcomes.Radiation injury vs. recurrent brain metastasis: combining textural feature radiomics analysis and standard parameters may increase 18F-FET PET accuracy without dynamic scans.Low-order non-spatial effects dominate second-order spatial effects in the texture quantifier analysis of 18F-FDG-PET images.Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models.Measuring tumor metabolic heterogeneity on positron emission tomography: utility in cervical cancer.Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer.Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?Comparison of Contrast-Enhanced CT and [18F]FDG PET/CT Analysis Using Kurtosis and Skewness in Patients with Primary Colorectal Cancer.[18]Fluorodeoxyglucose Positron Emission Tomography for the Textural Features of Cervical Cancer Associated with Lymph Node Metastasis and Histological Type.Assessment of intratumor heterogeneity in mesenchymal uterine tumor by an 18F-FDG PET/CT texture analysis.What's New in Imaging for Gynecologic Cancer?Association between textural and morphological tumor indices on baseline PET-CT and early metabolic response on interim PET-CT in bulky malignant lymphomas.On some misconceptions about tumor heterogeneity quantification.Selected PET radiomic features remain the same.Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapyPredicting IDH genotype in gliomas using FET PET radiomicsTextural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy
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P2860
Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Temporal analysis of intratumo ...... l features in cervical cancer.
@ast
Temporal analysis of intratumo ...... l features in cervical cancer.
@en
type
label
Temporal analysis of intratumo ...... l features in cervical cancer.
@ast
Temporal analysis of intratumo ...... l features in cervical cancer.
@en
prefLabel
Temporal analysis of intratumo ...... l features in cervical cancer.
@ast
Temporal analysis of intratumo ...... l features in cervical cancer.
@en
P2093
P2860
P1476
Temporal analysis of intratumo ...... l features in cervical cancer.
@en
P2093
Farrokh Dehdashti
Maria A Thomas
Perry W Grigsby
P2860
P2888
P304
P356
10.1007/S00259-012-2332-4
P577
2013-01-23T00:00:00Z