Literature DB >> 34341730

Whole-body diffusion-weighted MRI in lymphoma-comparison of global apparent diffusion coefficient histogram parameters for differentiation of diseased nodes of lymphoma patients from normal lymph nodes of healthy individuals.

Ricardo Donners1,2, Raphael Shih Zhu Yiin3, Dow-Mu Koh2,4, Katja De Paepe5, Ian Chau6, Sue Chua7, Matthew D Blackledge4.   

Abstract

BACKGROUND: Morphologic features yield low diagnostic accuracy to distinguish between diseased and normal lymph nodes. The purpose of this study was to compare diseased lymphomatous and normal lymph nodes using global apparent diffusion coefficient (gADC) histogram parameters derived from whole-body diffusion-weighted MRI (WB-DWI).
METHODS: 1.5 Tesla WB-DWI of 23 lymphoma patients and 20 healthy volunteers performed between 09/2010 and 07/2015 were retrospectively reviewed. All diseased nodal groups in the lymphoma cohort and all nodes visible on b900 images in healthy volunteers were segmented from neck to groin to generate a total diffusion volume (tDV). A connected component-labelling algorithm separated spatially distinct nodes. Mean, median, skewness, kurtosis, minimum, maximum, interquartile range (IQR), standard deviation (SD), 10th and 90th centile of the gADC distribution were derived from the tDV of each patient/volunteer and from spatially distinct nodes. gADC and regional nodal ADC parameters were compared between malignant and normal nodes using t-tests and ROC curve analyses. A P value ≤0.05 was deemed statistically significant.
RESULTS: Mean, median, IQR, 10th and 90th centiles of gADC and regional nodal ADC values were significantly lower in diseased compared with normal lymph nodes. Skewness, kurtosis and tDV were significantly higher in lymphoma. The SD, min and max gADC showed no significant difference between the two groups (P>0.128). The diagnostic accuracies of gADC parameters by AUC from highest to lowest were: 10th centile, mean, median, 90th centile, skewness, kurtosis and IQR. A 10th centile gADC threshold of 0.68×10-3 mm2/s identified diseased lymphomatous nodes with 91% sensitivity and 95% specificity.
CONCLUSIONS: WB-DWI derived gADC histogram parameters can distinguish between malignant lymph nodes of lymphoma patients and normal lymph nodes of healthy individuals. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Whole-body diffusion-weighted MRI; decision-making; diffusion-weighted MRI; histogram; lymph nodes; lymphoma

Year:  2021        PMID: 34341730      PMCID: PMC8245962          DOI: 10.21037/qims-21-50

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  40 in total

Review 1.  Current concepts in lymph node imaging.

Authors:  Maha Torabi; Suzanne L Aquino; Mukesh G Harisinghani
Journal:  J Nucl Med       Date:  2004-09       Impact factor: 10.057

2.  Value of diffusion-weighted MR imaging in the differentiation between benign and malignant cervical lymph nodes.

Authors:  Konstantin Holzapfel; Sabrina Duetsch; Claudius Fauser; Matthias Eiber; Ernst J Rummeny; Jochen Gaa
Journal:  Eur J Radiol       Date:  2008-11-07       Impact factor: 3.528

Review 3.  Quantitative Whole-Body Diffusion-Weighted MR Imaging.

Authors:  Ricardo Donners; Matthew Blackledge; Nina Tunariu; Christina Messiou; Elmar M Merkle; Dow-Mu Koh
Journal:  Magn Reson Imaging Clin N Am       Date:  2018-09-15       Impact factor: 2.266

Review 4.  Diagnostic accuracy of diffusion-weighted imaging- magnetic resonance imaging compared to positron emission tomography/computed tomography in evaluating and assessing pathological response to treatment in adult patients with lymphoma: A systematic review.

Authors:  John J Fitzpatrick; Miriam A Ryan; John F Bruzzi
Journal:  J Med Imaging Radiat Oncol       Date:  2018-03-25       Impact factor: 1.735

5.  Comparison of whole-body MRI with diffusion-weighted imaging and PET/CT in lymphoma staging.

Authors:  Siarhei Kharuzhyk; Edward Zhavrid; Andrei Dziuban; Elena Sukolinskaja; Olga Kalenik
Journal:  Eur Radiol       Date:  2020-02-27       Impact factor: 5.315

6.  Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display.

Authors:  Taro Takahara; Yutaka Imai; Tomohiro Yamashita; Seiei Yasuda; Seiji Nasu; Marc Van Cauteren
Journal:  Radiat Med       Date:  2004 Jul-Aug

Review 7.  Diffusion-weighted MRI in the body: applications and challenges in oncology.

Authors:  Dow-Mu Koh; David J Collins
Journal:  AJR Am J Roentgenol       Date:  2007-06       Impact factor: 3.959

8.  Diffusion-weighted MRI for staging and evaluation of response in diffuse large B-cell lymphoma: a pilot study.

Authors:  Marilyn J Siegel; Clint E Jokerst; Dhana Rajderkar; Charles F Hildebolt; Sagun Goyal; Farrokh Dehdashti; Nina Wagner Johnston; Barry A Siegel
Journal:  NMR Biomed       Date:  2014-04-03       Impact factor: 4.044

9.  Diagnostic performance of FDG-PET/MRI and WB-DW-MRI in the evaluation of lymphoma: a prospective comparison to standard FDG-PET/CT.

Authors:  Ken Herrmann; Marcelo Queiroz; Martin W Huellner; Felipe de Galiza Barbosa; Andreas Buck; Niklaus Schaefer; Paul Stolzman; Patrick Veit-Haibach
Journal:  BMC Cancer       Date:  2015-12-23       Impact factor: 4.430

10.  Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX.

Authors:  Matthew D Blackledge; David J Collins; Dow-Mu Koh; Martin O Leach
Journal:  Comput Biol Med       Date:  2015-12-18       Impact factor: 4.589

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  1 in total

1.  The diagnostic performance of whole-body MRI in the staging of lymphomas in adult patients compared to PET/CT and enhanced reference standard-systematic review and meta-analysis.

Authors:  Lukas Lambert; Andrea Burgetova; Marek Trneny; Bianka Bircakova; Jan Molinsky; Katerina Benesova; David Zogala; Pavel Michalek
Journal:  Quant Imaging Med Surg       Date:  2022-02
  1 in total

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