Literature DB >> 25791203

Between-Scanner and Between-Visit Variation in Normal White Matter Apparent Diffusion Coefficient Values in the Setting of a Multi-Center Clinical Trial.

J Huo1, J Alger2, H Kim2, M Brown2, K Okada3, W Pope2, J Goldin2.   

Abstract

PURPOSE: To study the between-scanner variation and the between-visit reproducibility of brain apparent diffusion coefficient (ADC) measurements in the setting of a multi-center chemotherapy clinical trial for glioblastoma multiforme. METHODS AND MATERIALS: ADC maps of 52 patients at six sites were calculated in-house from diffusion-weighted images obtained by seven individual scanner models of two vendors. The median and coefficient of variation (CV) of normal brain white matter ADC values from a defined region of interest were used to evaluate the differences among scanner models, vendors, magnetic fields, as well as successive visits. All patients participating in this study signed institutional review board approved informed consent. Data acquisition was performed in compliance with all applicable Health Insurance Portability and Accountability Act regulations. The study spanned from August 1, 2006, to January 29, 2008.
RESULTS: For baseline median ADC, no difference was observed between the different scanner models, different vendors, and different magnetic field strength. For baseline ADC CV, a significant difference was found between different scanner models (p = 0.0002). No between-scanner difference was observed in ADC changes between two visits. For between-visit reproducibility, significant difference was seen between the ADC values measured at two successive visits for the whole patient group.
CONCLUSION: The CVs varied significantly between scanners, presumably due to image noise. Consistent scanner parameter setup can improve reproducibility of the ADC measurements between visits.

Entities:  

Keywords:  ADC; Between-scanner variation; Between-visit reproducibility; Normal white matter

Mesh:

Year:  2015        PMID: 25791203     DOI: 10.1007/s00062-015-0381-3

Source DB:  PubMed          Journal:  Clin Neuroradiol        ISSN: 1869-1439            Impact factor:   3.649


  25 in total

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Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

Review 5.  Diffusion imaging concepts for clinicians.

Authors:  Jeffrey J Neil
Journal:  J Magn Reson Imaging       Date:  2008-01       Impact factor: 4.813

6.  Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T.

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7.  Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.

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Journal:  Radiology       Date:  2009-07       Impact factor: 11.105

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10.  Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging.

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Journal:  Clin Cancer Res       Date:  1997-09       Impact factor: 12.531

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2.  Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.

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Journal:  Lect Notes Monogr Ser       Date:  2019-05-03

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Authors:  Xiaopeng Zhou; Ken E Sakaie; Josef P Debbins; Sridar Narayanan; Robert J Fox; Mark J Lowe
Journal:  Magn Reson Imaging       Date:  2018-07-23       Impact factor: 2.546

Review 4.  Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors.

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Journal:  Cancers (Basel)       Date:  2021-01-23       Impact factor: 6.639

5.  Widespread effects of dMRI data quality on diffusion measures in children.

Authors:  Nabin Koirala; Daniel Kleinman; Meaghan V Perdue; Xing Su; Martina Villa; Elena L Grigorenko; Nicole Landi
Journal:  Hum Brain Mapp       Date:  2021-11-19       Impact factor: 5.038

6.  Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple conditiON acquIsition eXperiment (CHAMONIX) study.

Authors:  Toshiaki Taoka; Rintaro Ito; Rei Nakamichi; Koji Kamagata; Mayuko Sakai; Hisashi Kawai; Toshiki Nakane; Takashi Abe; Kazushige Ichikawa; Junko Kikuta; Shigeki Aoki; Shinji Naganawa
Journal:  Jpn J Radiol       Date:  2021-08-14       Impact factor: 2.374

7.  Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch.

Authors:  Orwa Aboud; Ritu Shah; Elizabeth Vera; Eric Burton; Brett Theeler; Jing Wu; Lisa Boris; Martha Quezado; Jennifer Reyes; Kathleen Wall; Mark R Gilbert; Terri S Armstrong; Marta Penas-Prado
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8.  Age-related topographic map of magnetic resonance diffusion metrics in neonatal brains.

Authors:  Pratheek S Bobba; Clara F Weber; Adrian Mak; Ali Mozayan; Ajay Malhotra; Kevin N Sheth; Sarah N Taylor; Arastoo Vossough; Patricia Ellen Grant; Dustin Scheinost; Robert Todd Constable; Laura R Ment; Seyedmehdi Payabvash
Journal:  Hum Brain Mapp       Date:  2022-05-23       Impact factor: 5.399

9.  Improved detectability of acute and subacute brainstem infarctions by combining standard axial and thin-sliced sagittal DWI.

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Review 10.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

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  10 in total

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