Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival.
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False Discovery Rates in PET and CT Studies with Texture Features: A Systematic ReviewAdvanced imaging of colorectal cancer: From anatomy to molecular imagingQuantifying tumour heterogeneity with CTGrading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences.Thyroid nodule recognition in computed tomography using first order statisticsAssociations 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 analysisNoninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic.Texture analysis of intermediate-advanced hepatocellular carcinoma: prognosis and patients' selection of transcatheter arterial chemoembolization and sorafenib.Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity.Volumetric texture features from higher-order images for diagnosis of colon lesions via CT colonography.Colorectal cancer: current imaging methods and future perspectives for the diagnosis, staging and therapeutic response evaluation.CT texture analysis of renal masses: pilot study using random forest classification for prediction of pathologyQuantification of heterogeneity as a biomarker in tumor imaging: a systematic reviewTexture Analysis of Non-Contrast-Enhanced Computed Tomography for Assessing Angiogenesis and Survival of Soft Tissue Sarcoma.Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery.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.Quantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic Phantom.Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.Associating spatial diversity features of radiologically defined tumor habitats with epidermal growth factor receptor driver status and 12-month survival in glioblastoma: methods and preliminary investigationCT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy?Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma.Incorporating prognostic imaging biomarkers into clinical practice.The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancerUsefulness of texture analysis in differentiating transient from persistent part-solid nodules(PSNs): a retrospective study.Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.CT-based texture analysis potentially provides prognostic information complementary to interim fdg-pet for patients with hodgkin's and aggressive non-hodgkin's lymphomas.Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules.MRI for assessing and predicting response to neoadjuvant treatment in rectal cancer.Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome.[Image postprocessing part 2: algorithms and workflow].Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer.Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images.Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker.Histogram analysis of iodine maps from dual energy computed tomography for monitoring targeted therapy of melanoma patients.Radiomics: a new application from established techniques.Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation.Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long-term survival in locally advanced rectal cancer treated by chemoradiotherapy.Tumor heterogeneity measured on F-18 fluorodeoxyglucose positron emission tomography/computed tomography combined with plasma Epstein-Barr Virus load predicts prognosis in patients with primary nasopharyngeal carcinoma.Histogram Analysis of CT Perfusion of Hepatocellular Carcinoma for Predicting Response to Transarterial Radioembolization: Value of Tumor Heterogeneity Assessment.
P2860
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P2860
Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Assessment of primary colorect ...... biomarker of 5-year survival.
@en
type
label
Assessment of primary colorect ...... biomarker of 5-year survival.
@en
prefLabel
Assessment of primary colorect ...... biomarker of 5-year survival.
@en
P2093
P356
P1433
P1476
Assessment of primary colorect ...... biomarker of 5-year survival.
@en
P2093
Balaji Ganeshan
Francesca Ng
Kenneth A Miles
Robert Kozarski
P304
P356
10.1148/RADIOL.12120254
P407
P577
2012-11-14T00:00:00Z