Literature DB >> 30342982

Dependence of apparent diffusion coefficient measurement on diffusion gradient direction and spatial position - A quality assurance intercomparison study of forty-four scanners for quantitative diffusion-weighted imaging.

Luca Fedeli1, Giacomo Belli2, Antonio Ciccarone3, Angela Coniglio4, Marco Esposito5, Marco Giannelli6, Lorenzo Nicola Mazzoni7, Luca Nocetti8, Roberto Sghedoni9, Roberto Tarducci10, Luisa Altabella11, Eleonora Belligotti12, Matteo Benelli13, Margherita Betti13, Rocchina Caivano14, Marco Carni'15, Andrea Chiappiniello10, Sara Cimolai16, Fabiola Cretti17, Christian Fulcheri10, Chiara Gasperi18, Mara Giacometti19, Fabrizio Levrero20, Domenico Lizio21, Marta Maieron22, Simona Marzi23, Lorella Mascaro24, Silvia Mazzocchi5, Gabriele Meliado'25, Sabrina Morzenti26, Linhsia Noferini27, Nadia Oberhofer28, Maria Grazia Quattrocchi27, Alessandra Ricci29, Adriana Taddeucci2, Leonardo Tenori30, Claudio Luchinat30, Gianni Gobbi31, Cesare Gori32, Simone Busoni33.   

Abstract

PURPOSE: To propose an MRI quality assurance procedure that can be used for routine controls and multi-centre comparison of different MR-scanners for quantitative diffusion-weighted imaging (DWI).
MATERIALS AND METHODS: 44 MR-scanners with different field strengths (1 T, 1.5 T and 3 T) were included in the study. DWI acquisitions (b-value range 0-1000 s/mm2), with three different orthogonal diffusion gradient directions, were performed for each MR-scanner. All DWI acquisitions were performed by using a standard spherical plastic doped water phantom. Phantom solution ADC value and its dependence with temperature was measured using a DOSY sequence on a 600 MHz NMR spectrometer. Apparent diffusion coefficient (ADC) along each diffusion gradient direction and mean ADC were estimated, both at magnet isocentre and in six different position 50 mm away from isocentre, along positive and negative AP, RL and HF directions.
RESULTS: A good agreement was found between the nominal and measured mean ADC at isocentre: more than 90% of mean ADC measurements were within 5% from the nominal value, and the highest deviation was 11.3%. Away from isocentre, the effect of the diffusion gradient direction on ADC estimation was larger than 5% in 47% of included scanners and a spatial non uniformity larger than 5% was reported in 13% of centres.
CONCLUSION: ADC accuracy and spatial uniformity can vary appreciably depending on MR scanner model, sequence implementation (i.e. gradient diffusion direction) and hardware characteristics. The DWI quality assurance protocol proposed in this study can be employed in order to assess the accuracy and spatial uniformity of estimated ADC values, in single- as well as multi-centre studies.
Copyright © 2018. Published by Elsevier Ltd.

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Year:  2018        PMID: 30342982     DOI: 10.1016/j.ejmp.2018.09.007

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  13 in total

1.  Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study.

Authors:  Nicolas F Michoux; Jakub W Ceranka; Jef Vandemeulebroucke; Frank Peeters; Pierre Lu; Julie Absil; Perrine Triqueneaux; Yan Liu; Laurence Collette; Inneke Willekens; Carola Brussaard; Olivier Debeir; Stephan Hahn; Hubert Raeymaekers; Johan de Mey; Thierry Metens; Frédéric E Lecouvet
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

2.  Empirical validation of gradient field models for an accurate ADC measured on clinical 3T MR systems in body oncologic applications.

Authors:  Yuxi Pang; Dariya I Malyarenko; Ghoncheh Amouzandeh; Enzo Barberi; Michael Cole; Axel Vom Endt; Johannes Peeters; Ek T Tan; Thomas L Chenevert
Journal:  Phys Med       Date:  2021-06-06       Impact factor: 3.119

3.  A comparative study of methods for determining Intravoxel incoherent motion parameters in cervix cancer.

Authors:  Xue Wang; Jiao Song; Shengfa Zhou; Yi Lu; Wenxiao Lin; Tong San Koh; Zujun Hou; Zhihan Yan
Journal:  Cancer Imaging       Date:  2021-01-14       Impact factor: 3.909

4.  Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging.

Authors:  Christian Thaler; Anna A Kyselyova; Tobias D Faizy; Marie T Nawka; Sune Jespersen; Brian Hansen; Jan-Patrick Stellmann; Christoph Heesen; Klarissa H Stürner; Maria Stark; Jens Fiehler; Maxim Bester; Susanne Gellißen
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

5.  Advanced diffusion imaging of abdominal organs in different hydration states of the human body: stability of biomarkers.

Authors:  Jūratė Kemėšienė; Alexander Rühle; Ryszard Gomolka; Moritz C Wurnig; Cristina Rossi; Andreas Boss
Journal:  Heliyon       Date:  2021-01-28

6.  Effect of b Value on Imaging Quality for Diffusion Tensor Imaging of the Spinal Cord at Ultrahigh Field Strength.

Authors:  Shu-Sheng Bao; Can Zhao; Xing-Xing Bao; Jia-Sheng Rao
Journal:  Biomed Res Int       Date:  2021-01-06       Impact factor: 3.411

7.  Values of Apparent Diffusion Coefficient and Lesion-to-Spinal Cord Signal Intensity in Diagnosing Solitary Pulmonary Lesions: Turbo Spin-Echo versus Echo-Planar Imaging Diffusion-Weighted Imaging.

Authors:  Qiang Lei; Qi Wan; Lishan Liu; Jianfeng Hu; Wei Zuo; Jianneng Li; Guihua Jiang; Xinchun Li
Journal:  Biomed Res Int       Date:  2021-08-10       Impact factor: 3.411

8.  Perfusion-Diffusion Ratio: A New IVIM Approach in Differentiating Solid Benign and Malignant Primary Lesions of the Liver.

Authors:  Joanna Podgórska; Katarzyna Pasicz; Witold Skrzyński; Bogumił Gołębiewski; Piotr Kuś; Jakub Jasieniak; Anna Kiliszczyk; Agnieszka Rogowska; Thomas Benkert; Jakub Pałucki; Iwona Grabska; Ewa Fabiszewska; Beata Jagielska; Paweł Kukołowicz; Andrzej Cieszanowski
Journal:  Biomed Res Int       Date:  2022-01-15       Impact factor: 3.411

Review 9.  Factors affecting the value of diffusion-weighted imaging for identifying breast cancer patients with pathological complete response on neoadjuvant systemic therapy: a systematic review.

Authors:  Kay J J van der Hoogt; Robert J Schipper; Gonneke A Winter-Warnars; Leon C Ter Beek; Claudette E Loo; Ritse M Mann; Regina G H Beets-Tan
Journal:  Insights Imaging       Date:  2021-12-18

10.  Diffusion Kurtosis Imaging as a Prognostic Marker in Osteosarcoma Patients with Preoperative Chemotherapy.

Authors:  Chenglei Liu; Yue Xing; Dongmin Wei; Qiong Jiao; Qingcheng Yang; Dapeng Lei; Xiaofeng Tao; Weiwu Yao
Journal:  Biomed Res Int       Date:  2020-09-26       Impact factor: 3.411

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