Literature DB >> 28301311

Extracranial Soft-Tissue Tumors: Repeatability of Apparent Diffusion Coefficient Estimates from Diffusion-weighted MR Imaging.

Jessica M Winfield1, Nina Tunariu1, Mihaela Rata1, Keiko Miyazaki1, Neil P Jerome1, Michael Germuska1, Matthew D Blackledge1, David J Collins1, Johann S de Bono1, Timothy A Yap1, Nandita M deSouza1, Simon J Doran1, Dow-Mu Koh1, Martin O Leach1, Christina Messiou1, Matthew R Orton1.   

Abstract

Purpose To assess the repeatability of apparent diffusion coefficient (ADC) estimates in extracranial soft-tissue diffusion-weighted magnetic resonance imaging across a wide range of imaging protocols and patient populations. Materials and Methods Nine prospective patient studies and one prospective volunteer study, performed between 2006 and 2016 with research ethics committee approval and written informed consent from each subject, were included in this single-institution study. A total of 141 tumors and healthy organs were imaged twice (interval between repeated examinations, 45 minutes to 10 days, depending the on study) to assess the repeatability of median and mean ADC estimates. The Levene test was used to determine whether ADC repeatability differed between studies. The Pearson linear correlation coefficient was used to assess correlation between coefficient of variation (CoV) and the year the study started, study size, and volumes of tumors and healthy organs. The repeatability of ADC estimates from small, medium, and large tumors and healthy organs was assessed irrespective of study, and the Levene test was used to determine whether ADC repeatability differed between these groups. Results CoV aggregated across all studies was 4.1% (range for each study, 1.7%-6.5%). No correlation was observed between CoV and the year the study started or study size. CoV was weakly correlated with volume (r = -0.5, P = .1). Repeatability was significantly different between small, medium, and large tumors (P < .05), with the lowest CoV (2.6%) for large tumors. There was a significant difference in repeatability between studies-a difference that did not persist after the study with the largest tumors was excluded. Conclusion ADC is a robust imaging metric with excellent repeatability in extracranial soft tissues across a wide range of tumor sites, sizes, patient populations, and imaging protocol variations. Online supplemental material is available for this article.

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Year:  2017        PMID: 28301311      PMCID: PMC6063352          DOI: 10.1148/radiol.2017161965

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  28 in total

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4.  In vitro and in vivo repeatability of abdominal diffusion-weighted MRI.

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5.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

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Authors:  Vanessa N Harry; Scott I Semple; Fiona J Gilbert; David E Parkin
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7.  Reproducibility and changes in the apparent diffusion coefficients of solid tumours treated with combretastatin A4 phosphate and bevacizumab in a two-centre phase I clinical trial.

Authors:  Dow-Mu Koh; Matthew Blackledge; David J Collins; Anwar R Padhani; Toni Wallace; Benjamin Wilton; N Jane Taylor; J James Stirling; Rajesh Sinha; Pat Walicke; Martin O Leach; Ian Judson; Paul Nathan
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Journal:  Clin Cancer Res       Date:  2014-09-19       Impact factor: 12.531

9.  Demonstration of the reproducibility of free-breathing diffusion-weighted MRI and dynamic contrast enhanced MRI in children with solid tumours: a pilot study.

Authors:  Keiko Miyazaki; Neil P Jerome; David J Collins; Matthew R Orton; James A d'Arcy; Toni Wallace; Lucas Moreno; Andrew D J Pearson; Lynley V Marshall; Fernando Carceller; Martin O Leach; Stergios Zacharoulis; Dow-Mu Koh
Journal:  Eur Radiol       Date:  2015-03-15       Impact factor: 5.315

10.  Advanced solid tumors treated with cediranib: comparison of dynamic contrast-enhanced MR imaging and CT as markers of vascular activity.

Authors:  Christina Messiou; Matthew Orton; Joo Ern Ang; David J Collins; Veronica A Morgan; Dorothy Mears; Isabel Castellano; Dionysis Papadatos-Pastos; Andre Brunetto; Nina Tunariu; Helen Mann; Jean Tessier; Helen Young; Dana Ghiorghiu; Sarah Marley; Stan B Kaye; Johann S deBono; Martin O Leach; Nandita M deSouza
Journal:  Radiology       Date:  2012-08-13       Impact factor: 11.105

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  14 in total

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

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2.  Renal Diffusion-Weighted Imaging (DWI) for Apparent Diffusion Coefficient (ADC), Intravoxel Incoherent Motion (IVIM), and Diffusion Tensor Imaging (DTI): Basic Concepts.

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4.  Interpreting Change in Quantitative Imaging Biomarkers.

Authors:  Nancy A Obuchowski
Journal:  Acad Radiol       Date:  2017-12-01       Impact factor: 3.173

Review 5.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
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6.  Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial.

Authors:  Jurgen Peerlings; Henry C Woodruff; Jessica M Winfield; Abdalla Ibrahim; Bernard E Van Beers; Arend Heerschap; Alan Jackson; Joachim E Wildberger; Felix M Mottaghy; Nandita M DeSouza; Philippe Lambin
Journal:  Sci Rep       Date:  2019-03-18       Impact factor: 4.379

7.  Considering tumour volume for motion corrected DWI of colorectal liver metastases increases sensitivity of ADC to detect treatment-induced changes.

Authors:  Ryan Pathak; Jingduo Tian; Neil A Thacker; David M Morris; Hossein Ragheb; Charles Saunders; Mark Saunders; Alan Jackson
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8.  Measurement Repeatability of 18F-FDG PET/CT Versus 18F-FDG PET/MRI in Solid Tumors of the Pelvis.

Authors:  Tyler J Fraum; Kathryn J Fowler; John P Crandall; Richard A Laforest; Amber Salter; Hongyu An; Michael A Jacobs; Perry W Grigsby; Farrokh Dehdashti; Richard L Wahl
Journal:  J Nucl Med       Date:  2019-02-07       Impact factor: 10.057

9.  Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma.

Authors:  Matthew D Blackledge; Jessica M Winfield; Aisha Miah; Dirk Strauss; Khin Thway; Veronica A Morgan; David J Collins; Dow-Mu Koh; Martin O Leach; Christina Messiou
Journal:  Front Oncol       Date:  2019-10-10       Impact factor: 6.244

10.  Non-Gaussian models of diffusion weighted imaging for detection and characterization of prostate cancer: a systematic review and meta-analysis.

Authors:  V Brancato; C Cavaliere; M Salvatore; S Monti
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

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