Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer. - Wikidata - awgldk - TriplyDB

Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.

Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.

http://www.wikidata.org/entity/Q35146660

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How to use CT texture analysis for prognostication of non-small cell lung cancer Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-III Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials.CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Early Change in Metabolic Tumor Heterogeneity during Chemoradiotherapy and Its Prognostic Value for Patients with Locally Advanced Non-Small Cell Lung Cancer.Measuring Computed Tomography Scanner Variability of Radiomics Features Quantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic Phantom.Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors.IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.Imaging features from pretreatment CT scans are associated with clinical outcomes in nonsmall-cell lung cancer patients treated with stereotactic body radiotherapy.Feature selection methodology for longitudinal cone-beam CT radiomics.Defining the biological basis of radiomic phenotypes in lung cancer.Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures.Early-Stage Non-Small Cell Lung Cancer: Quantitative Imaging Characteristics of (18)F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis.Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer Harmonizing the pixel size in retrospective computed tomography radiomics studies.Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?Identifying prognostic intratumor heterogeneity using pre- and post-radiotherapy 18F-FDG PET images for pancreatic cancer patients.Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non-Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort.Radiographic prediction of meningioma grade by semantic and radiomic features.Predicting survival time of lung cancer patients using radiomic analysis.Towards precision medicine: from quantitative imaging to radiomics.A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images.Clinical applications of textural analysis in non-small cell lung cancer.Development of an Immune-Pathology Informed Radiomics Model for Non-Small Cell Lung Cancer.Prognostic value of histogram analysis in advanced non-small cell lung cancer: a radiomic study.Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics.MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.Interobserver variability in tumor contouring affects the use of radiomics to predict mutational status.Radiomic analysis in T2W and SPAIR T2W MRI: predict treatment response to chemoradiotherapy in esophageal squamous cell carcinoma.CT Radiomics in Thoracic Oncology: Technique and Clinical Applications The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies

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Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.

http://www.wikidata.org/entity/Q35146660

description

2014 nî lūn-bûn

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2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

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2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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Prognostic value and reproduci ...... II non-small cell lung cancer.

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Prognostic value and reproduci ...... II non-small cell lung cancer.

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Prognostic value and reproduci ...... II non-small cell lung cancer.

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Prognostic value and reproduci ...... II non-small cell lung cancer.

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Prognostic value and reproduci ...... II non-small cell lung cancer.

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International Journal of Radiation Oncology Biology Physics

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Prognostic value and reproduci ...... III non-small cell lung cancer

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David V Fried

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Geoffrey Ibbott

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Osama Mawlawi

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Shouhao Zhou

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Susan L Tucker

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Zhongxing Liao

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P2860

Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results

CT texture analysis using the filtration-histogram method: what do the measurements mean?

Cancer statistics, 2013

Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data.

High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images

Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage.

Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy?

A concordance correlation coefficient to evaluate reproducibility.

Texture analysis of aggressive and nonaggressive lung tumor CE CT images.

AJCC Cancer Staging Manual 7th edition criteria for colon cancer: do the complex modifications improve prognostic assessment?

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