Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy.
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Characterization of PET/CT images using texture analysis: the past, the present… any future?Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-IIIRespiration-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.Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials.Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235.Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.Texture analysis of medical images for radiotherapy applications.PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology.Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma.Multiparametric imaging using 18F-FDG PET/CT heterogeneity parameters and functional MRI techniques: prognostic significance in patients with primary advanced oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiotherapy.Predicting survival time of lung cancer patients using radiomic analysis.Quantitative texture analysis on pre-treatment computed tomography predicts local recurrence in stage I non-small cell lung cancer following stereotactic radiation therapy.Clinical utility of texture analysis of 18F-FDG PET/CT in patients with Stage I lung cancer treated with stereotactic body radiotherapy.A P53-Deficiency Gene Signature Predicts Recurrence Risk of Patients with Early-Stage Lung Adenocarcinoma.FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer.Clinical applications of textural analysis in non-small cell lung cancer.Prognostic value of histogram analysis in advanced non-small cell lung cancer: a radiomic study.Immune-related tumor response assessment criteria: a comprehensive review.Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy.FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy.Assessment of tumor heterogeneity in treatment-naïve adrenocortical cancer patients using (18)F-FDG positron emission tomography.Role of textural heterogeneity parameters in patient selection for 177Lu-PSMA therapy via response predictionThe developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer
P2860
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P2860
Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Textural features in pre-treat ...... tereotactic radiation therapy.
@ast
Textural features in pre-treat ...... tereotactic radiation therapy.
@en
type
label
Textural features in pre-treat ...... tereotactic radiation therapy.
@ast
Textural features in pre-treat ...... tereotactic radiation therapy.
@en
prefLabel
Textural features in pre-treat ...... tereotactic radiation therapy.
@ast
Textural features in pre-treat ...... tereotactic radiation therapy.
@en
P2093
P2860
P1433
P1476
Textural features in pre-treat ...... stereotactic radiation therapy
@en
P2093
Benedikt Mayer
Hanno M Specht
Markus Essler
Nicolaus Andratschke
Norbert Zsótér
Ralph A Bundschuh
Thomas Pyka
P2860
P2888
P356
10.1186/S13014-015-0407-7
P50
P577
2015-04-22T00:00:00Z
P5875
P6179
1034362597