Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets
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ESR statement on the stepwise development of imaging biomarkers.Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials.Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.Uncertainty in assessment of radiation-induced diffusion index changes in individual patientsLateralization of temporal lobe epilepsy using a novel uncertainty analysis of MR diffusion in hippocampus, cingulum, and fornix, and hippocampal volume and FLAIR intensityPrediction of glioblastoma multiform response to bevacizumab treatment using multi-parametric MRI.Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons.Functional and molecular image guidance in radiotherapy treatment planning optimization.Repeatability of Cerebral Perfusion Using Dynamic Susceptibility Contrast MRI in Glioblastoma Patients.A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional StudyRepeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma.Radiation therapy effects on white matter fiber tracts of the limbic circuitCorrection of Gradient Nonlinearity Bias in Quantitative Diffusion Parameters of Renal Tissue with Intra Voxel Incoherent MotionThe promise of dynamic contrast-enhanced imaging in radiation therapyStatistical Issues in Testing Conformance with the Quantitative Imaging Biomarker Alliance (QIBA) Profile Claims.Impact of uncertainty in longitudinal T1 measurements on quantification of dynamic contrast-enhanced MRI.Exploring intra- and inter-reader variability in uni-dimensional, bi-dimensional, and volumetric measurements of solid tumors on CT scans reconstructed at different slice intervals.Quantitative imaging for evaluation of response to cancer therapy.QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter TrialsQuantitative imaging biomarkers: a review of statistical methods for technical performance assessment.Intravoxel incoherent motion diffusion-weighted MRI of the abdomen: The effect of fitting algorithms on the accuracy and reliability of the parameters.The repeatability of computed tomography lung volume measurements: Comparisons in healthy subjects, patients with obstructive lung disease, and patients with restrictive lung disease.Selection and Reporting of Statistical Methods to Assess Reliability of a Diagnostic Test: Conformity to Recommended Methods in a Peer-Reviewed Journal.Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies.Repeatability of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0 Tesla in orbital lesions.Estimability index for volume quantification of homogeneous spherical lesions in computed tomography.Detection of Changes in Cervical Softness Using Shear Wave Speed in Early versus Late Pregnancy: An in Vivo Cross-Sectional Study.[11 C]arachidonic acid incorporation measurement in human brain: Optimization for clinical use.Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging.Extracranial Soft-Tissue Tumors: Repeatability of Apparent Diffusion Coefficient Estimates from Diffusion-weighted MR Imaging.Interpreting Change in Quantitative Imaging Biomarkers.Normalization of ADC does not improve correlation with overall survival in patients with high-grade glioma (HGG).Statistical evaluation of test-retest studies in PET brain imaging.Quantitative assessment of hepatic function: modified look-locker inversion recovery (MOLLI) sequence for T1 mapping on Gd-EOB-DTPA-enhanced liver MR imaging.Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients.Clinical Validation of Automatable Gaussian Normalized CBV in Brain Tumor Analysis: Superior Reproducibility and Slightly Better Association with Survival than Current Standard Manual Normal Appearing White Matter NormalizationOptimal Phase of Dynamic Computed Tomography for Reliable Size Measurement of Metastatic Neuroendocrine Tumors of the Liver: Comparison between Pre- and Post-Contrast PhasesA Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR
P2860
Q30456007-B09B2B05-7319-49C2-9897-69DBB9AF5FA4Q30944029-E56C94C9-28E0-4DBD-86BF-2DFF89FE38B6Q30993863-DF9E6F11-59D9-4485-9E68-363F2FAE8D91Q31118704-6C81E187-C300-49A1-8460-85AD87D78FB4Q33927685-846970D5-67EF-447E-BDAA-8646080B77EEQ34130827-E6FA58B5-3A7B-4D2C-99C2-FF6C5A782D69Q34681714-BA5189FC-FC97-4BBD-B1F0-1EA8CAC10825Q34706820-8B58B144-6598-41F0-B4F7-EF89CC870E01Q35802452-4BC6CB89-ACC0-4C38-B671-B92BD214C3C0Q35915001-76C20F0E-1792-4D96-B54D-E36D01A613DAQ36054267-9454FE0A-6381-4034-8738-8EE3743675F9Q36218297-C9D91E3F-2DB6-41EC-B035-2736AEC0150AQ36493911-4497D105-C099-443F-ADC6-9A9BDEA04B5EQ36747134-E112DF3B-858D-4DE0-8C84-76E45B5B008EQ36797014-AFEB34B1-7105-4F78-9A3E-4C4FEBFB3C2FQ37057897-F91DF4DA-3435-4128-B1C4-BF71D0A96799Q37295117-5CF78C61-2297-453D-B431-23D441BF7C9AQ37429841-5BDB0B6B-3070-4B80-9490-0BD65C59E5ECQ37590329-7AE6C1BD-5F8A-4D2F-AD11-FF6A65561961Q38219582-8D67B6E1-65A3-427A-9517-CAC4B74532E3Q39172527-51A477FA-D1D1-4A08-A6C2-0E7D8DF29074Q41347646-3AA710EC-9C08-435C-B3C4-908B6957CC11Q42702576-927B67AE-BFB3-468F-A094-C438AAD9D511Q45831420-4E4138B8-BA12-4BD0-BFBF-E9D38124C43EQ46004965-F2047E01-8787-450F-B677-19DE98954275Q47183683-FC8DB3DB-90C8-490E-89BA-89EAF2B29142Q47241247-0C302C26-CEDC-4F51-98CD-5C0D553A0394Q47244940-8845D2F5-4EB5-472B-B0DF-8D17C5B8CF85Q47586431-9BEE3B22-AB78-4D02-92FF-82A54DDA7FBFQ47998516-4F2E5F42-BD0B-4131-BA73-4458B5E7D83CQ48115847-0C8FABF1-D924-4573-AD5C-8940B44D41C4Q49389007-CA7DD9E0-37C9-4047-9743-C370884CC236Q49566176-521C0608-B974-4065-86F4-3D45726B312BQ50051402-53592897-B718-4DAD-A2E4-A96DE7D60130Q51594905-A23CC60A-5E66-4DC1-8270-1F018B51CB5BQ52607483-62D892B7-B721-42B0-B0C4-492C1C593EA8Q56761469-5FB38F7F-E37D-4CB2-84D9-EE754B09F262Q58565402-C687E8E8-9E56-4E27-8F5B-8696E6251237Q58764821-8C934CAE-F9C1-4127-8F1F-456C79C72C04
P2860
Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Applications of the repeatabil ...... l analysis of repeat data sets
@ast
Applications of the repeatabil ...... l analysis of repeat data sets
@en
Applications of the repeatabil ...... analysis of repeat data sets.
@nl
type
label
Applications of the repeatabil ...... l analysis of repeat data sets
@ast
Applications of the repeatabil ...... l analysis of repeat data sets
@en
Applications of the repeatabil ...... analysis of repeat data sets.
@nl
prefLabel
Applications of the repeatabil ...... l analysis of repeat data sets
@ast
Applications of the repeatabil ...... l analysis of repeat data sets
@en
Applications of the repeatabil ...... analysis of repeat data sets.
@nl
P2860
P356
P1476
Applications of the repeatabil ...... l analysis of repeat data sets
@en
P2093
Daniel P Barboriak
Huiman X Barnhart
P2860
P304
P356
10.1593/TLO.09268
P577
2009-12-01T00:00:00Z