Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? - Wikidata - awgldk - TriplyDB

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

http://www.wikidata.org/entity/Q36421023

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Advanced imaging of colorectal cancer: From anatomy to molecular imaging Perfusion CT imaging of colorectal cancer CT texture analysis using the filtration-histogram method: what do the measurements mean?State-Of-The-Art and Recent Advances in Quantification for Therapeutic Follow-Up in Oncology Using PET Three-dimensional ultrasound molecular imaging of angiogenesis in colon cancer using a clinical matrix array ultrasound transducer.Characterization of PET/CT images using texture analysis: the past, the present… any future?Non-invasive quantification of tumour heterogeneity in water diffusivity to differentiate malignant from benign tissues of urinary bladder: a phase I study.The effect of post-injection 18F-FDG PET scanning time on texture analysis of peripheral nerve sheath tumours in neurofibromatosis-1.Magnetic Resonance Imaging (MRI) of Intratumoral Voxel Heterogeneity as a Potential Response Biomarker: Assessment in a HER2+ Esophageal Adenocarcinoma Xenograft Following Trastuzumab and/or Cisplatin Therapy.Radiogenomic Analysis of Oncological Data: A Technical Survey.Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology.Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences.Texture Analysis of Torn Rotator Cuff on Preoperative Magnetic Resonance Arthrography as a Predictor of Postoperative Tendon Status.Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer.CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images Quantifying metabolic heterogeneity in head and neck tumors in real time: 2-DG uptake is highest in hypoxic tumor regions.Intratumoral heterogeneity of breast cancer xenograft models: texture analysis of diffusion-weighted MR imaging.Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity.Modulation of selectin-mediated adhesion of flowing lymphoma and bone marrow cells by immobilized SDF-1.CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Radiomics: Images Are More than Pictures, They Are Data.Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study.Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary study.Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization.CT texture analysis of renal masses: pilot study using random forest classification for prediction of pathology Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review Response evaluation after primary systemic therapy of Her2 positive breast cancer – an observational cross-sectional study Texture Analysis of Non-Contrast-Enhanced Computed Tomography for Assessing Angiogenesis and Survival of Soft Tissue Sarcoma.A method for comparing intra-tumoural radioactivity uptake heterogeneity in preclinical positron emission tomography studies Early Change in Metabolic Tumor Heterogeneity during Chemoradiotherapy and Its Prognostic Value for Patients with Locally Advanced Non-Small Cell Lung Cancer.Autoclustering of Non-small Cell Lung Carcinoma Subtypes on (18)F-FDG PET Using Texture Analysis: A Preliminary Result.Texture analysis of (125)I-A5B7 anti-CEA antibody SPECT differentiates metastatic colorectal cancer model phenotypes and anti-vascular therapy response.Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials.Tumor Heterogeneity in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Advanced Gastric Cancer Assessed by CT Texture Analysis: Association with Survival after Trastuzumab Treatment.A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.Differentiation of malignant and benign breast lesions: Added value of the qualitative analysis of breast lesions on diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging at 3.0 T Evaluation of Head and Neck Tumors with Functional MR Imaging.Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization.

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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2012 nî lūn-bûn

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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2012年學術文章

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2012年學術文章

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Insights into imaging

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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

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Balaji Ganeshan

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Connie S P Yip

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Fergus Davnall

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Francesca Ng

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Gunnar Ljungqvist

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Kenneth A Miles

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Mariyah Selmi

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P2860

Texture analysis of medical images.

Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data.

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme.

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

Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer

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

DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6.

Can dynamic contrast-enhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma?

Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis.

Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome.

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