Literature DB >> 26834942

Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in-vitro and in-vivo reproducibility.

Maysam M Jafar1, Arman Parsai1, Marc E Miquel1.   

Abstract

There is considerable disparity in the published apparent diffusion coefficient (ADC) values across different anatomies. Institutions are increasingly assessing repeatability and reproducibility of the derived ADC to determine its variation, which could potentially be used as an indicator in determining tumour aggressiveness or assessing tumour response. In this manuscript, a review of selected articles published to date in healthy extra-cranial body diffusion-weighted magnetic resonance imaging is presented, detailing reported ADC values and discussing their variation across different studies. In total 115 studies were selected including 28 for liver parenchyma, 15 for kidney (renal parenchyma), 14 for spleen, 13 for pancreatic body, 6 for gallbladder, 13 for prostate, 13 for uterus (endometrium, myometrium, cervix) and 13 for fibroglandular breast tissue. Median ADC values in selected studies were found to be 1.28 × 10(-3) mm(2)/s in liver, 1.94 × 10(-3) mm(2)/s in kidney, 1.60 × 10(-3) mm(2)/s in pancreatic body, 0.85 × 10(-3) mm(2)/s in spleen, 2.73 × 10(-3) mm(2)/s in gallbladder, 1.64 × 10(-3) mm(2)/s and 1.31 × 10(-3) mm(2)/s in prostate peripheral zone and central gland respectively (combined median value of 1.54×10(-3) mm(2)/s), 1.44 × 10(-3) mm(2)/s in endometrium, 1.53 × 10(-3) mm(2)/s in myometrium, 1.71 × 10(-3) mm(2)/s in cervix and 1.92 × 10(-3) mm(2)/s in breast. In addition, six phantom studies and thirteen in vivo studies were summarized to compare repeatability and reproducibility of the measured ADC. All selected phantom studies demonstrated lower intra-scanner and inter-scanner variation compared to in vivo studies. Based on the findings of this manuscript, it is recommended that protocols need to be optimised for the body part studied and that system-induced variability must be established using a standardized phantom in any clinical study. Reproducibility of the measured ADC must also be assessed in a volunteer population, as variations are far more significant in vivo compared with phantom studies.

Entities:  

Keywords:  Apparent diffusion coefficient; Apparent diffusion coefficient reproducibility; Cancer imaging; Diffusion-weighted magnetic resonance imaging; Extra-cranial organs

Year:  2016        PMID: 26834942      PMCID: PMC4731347          DOI: 10.4329/wjr.v8.i1.21

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  177 in total

1.  Effects of cell volume fraction changes on apparent diffusion in human cells.

Authors:  A W Anderson; J Xie; J Pizzonia; R A Bronen; D D Spencer; J C Gore
Journal:  Magn Reson Imaging       Date:  2000-07       Impact factor: 2.546

2.  Sensitivity of MRI versus mammography for detecting foci of multifocal, multicentric breast cancer in Fatty and dense breasts using the whole-breast pathologic examination as a gold standard.

Authors:  Francesco Sardanelli; Gian M Giuseppetti; Pietro Panizza; Massimo Bazzocchi; Alfonso Fausto; Giovanni Simonetti; Vincenzo Lattanzio; Alessandro Del Maschio
Journal:  AJR Am J Roentgenol       Date:  2004-10       Impact factor: 3.959

3.  Diffusion tensor MR imaging of the human brain.

Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

4.  Short- and midterm reproducibility of apparent diffusion coefficient measurements at 3.0-T diffusion-weighted imaging of the abdomen.

Authors:  Adam C Braithwaite; Brian M Dale; Daniel T Boll; Elmar M Merkle
Journal:  Radiology       Date:  2008-12-18       Impact factor: 11.105

5.  Diffusion-weighted imaging of the prostate and rectal wall: comparison of biexponential and monoexponential modelled diffusion and associated perfusion coefficients.

Authors:  S F Riches; K Hawtin; E M Charles-Edwards; N M de Souza
Journal:  NMR Biomed       Date:  2009-04       Impact factor: 4.044

6.  Reproductibility of apparent diffusion coefficients measurements in diffusion-weighted MRI of the abdomen with different b values.

Authors:  Mirace Yasemin Karadeniz Bilgili
Journal:  Eur J Radiol       Date:  2011-07-02       Impact factor: 3.528

7.  Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.

Authors:  Sung Hun Kim; Eun Suk Cha; Hyeon Sook Kim; Bong Joo Kang; Jae Jeong Choi; Ji Han Jung; Yong Gyu Park; Young Jin Suh
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

8.  Diffusion-weighted MRI in cervical cancer.

Authors:  Patrick Z McVeigh; Aejaz M Syed; Michael Milosevic; Anthony Fyles; Masoom A Haider
Journal:  Eur Radiol       Date:  2008-01-12       Impact factor: 5.315

9.  Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.

Authors:  Sabrina Doblas; Gilberto S Almeida; François-Xavier Blé; Philippe Garteiser; Benjamin A Hoff; Dominick J O McIntyre; Lydia Wachsmuth; Thomas L Chenevert; Cornelius Faber; John R Griffiths; Andreas H Jacobs; David M Morris; James P B O'Connor; Simon P Robinson; Bernard E Van Beers; John C Waterton
Journal:  J Magn Reson Imaging       Date:  2015-05-26       Impact factor: 4.813

10.  Test liquids for quantitative MRI measurements of self-diffusion coefficient in vivo.

Authors:  P S Tofts; D Lloyd; C A Clark; G J Barker; G J Parker; P McConville; C Baldock; J M Pope
Journal:  Magn Reson Med       Date:  2000-03       Impact factor: 4.668

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  19 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

Review 2.  Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.

Authors:  Yi Xiang J Wang; Hua Huang; Cun-Jing Zheng; Ben-Heng Xiao; Olivier Chevallier; Wei Wang
Journal:  Am J Nucl Med Mol Imaging       Date:  2021-04-15

3.  Everyman's prostate phantom: kiwi-fruit substitute for human prostates at magnetic resonance imaging, diffusion-weighted imaging and magnetic resonance spectroscopy.

Authors:  Ullrich G Mueller-Lisse; Sophie Murer; Ulrike L Mueller-Lisse; Marissa Kuhn; Juergen Scheidler; Michael Scherr
Journal:  Eur Radiol       Date:  2017-01-05       Impact factor: 5.315

4.  Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Authors:  Joshua M Goldenberg; Julio Cárdenas-Rodríguez; Mark D Pagel
Journal:  Magn Reson Med       Date:  2018-09-17       Impact factor: 4.668

Review 5.  Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.

Authors:  Ryan L Brunsing; Natalie M Schenker-Ahmed; Nathan S White; J Kellogg Parsons; Christopher Kane; Joshua Kuperman; Hauke Bartsch; Andrew Karim Kader; Rebecca Rakow-Penner; Tyler M Seibert; Daniel Margolis; Steven S Raman; Carrie R McDonald; Nikdokht Farid; Santosh Kesari; Donna Hansel; Ahmed Shabaik; Anders M Dale; David S Karow
Journal:  J Magn Reson Imaging       Date:  2016-08-16       Impact factor: 4.813

6.  Diagnostic test accuracy of ADC values for identification of clear cell renal cell carcinoma: systematic review and meta-analysis.

Authors:  Mickael Tordjman; Rahul Mali; Guillaume Madelin; Vinay Prabhu; Stella K Kang
Journal:  Eur Radiol       Date:  2020-03-06       Impact factor: 5.315

7.  Performance of a fast and high-resolution multi-echo spin-echo sequence for prostate T2 mapping across multiple systems.

Authors:  Petra J van Houdt; Harsh K Agarwal; Laurens D van Buuren; Stijn W T P J Heijmink; Søren Haack; Henk G van der Poel; Ghazaleh Ghobadi; Floris J Pos; Johannes M Peeters; Peter L Choyke; Uulke A van der Heide
Journal:  Magn Reson Med       Date:  2017-07-03       Impact factor: 4.668

Review 8.  Transformational Role of Medical Imaging in (Radiation) Oncology.

Authors:  Catherine Coolens; Matt N Gwilliam; Paula Alcaide-Leon; Isabella Maria de Freitas Faria; Fabio Ynoe de Moraes
Journal:  Cancers (Basel)       Date:  2021-05-23       Impact factor: 6.639

Review 9.  Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT.

Authors:  Madeleine Sertic; Aoife Kilcoyne; Onofrio Antonio Catalano; Susanna I Lee
Journal:  Abdom Radiol (NY)       Date:  2021-07-23

Review 10.  Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Authors:  Amita Shukla-Dave; Nancy A Obuchowski; Thomas L Chenevert; Sachin Jambawalikar; Lawrence H Schwartz; Dariya Malyarenko; Wei Huang; Susan M Noworolski; Robert J Young; Mark S Shiroishi; Harrison Kim; Catherine Coolens; Hendrik Laue; Caroline Chung; Mark Rosen; Michael Boss; Edward F Jackson
Journal:  J Magn Reson Imaging       Date:  2018-11-19       Impact factor: 5.119

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