Literature DB >> 23197155

Diffusion-weighted MRI of lymphoma: prognostic utility and implications for PET/MRI?

Shonit Punwani1, Stuart A Taylor, Ziauddin Z Saad, Alan Bainbridge, Ashley Groves, Stephen Daw, Ananth Shankar, Steve Halligan, Paul D Humphries.   

Abstract

PURPOSE: With the recent introduction of PET/MRI, we investigated whether diffusion-weighted imaging (DWI) can complement PET for predicting local treatment response in Hodgkin lymphoma.
METHODS: This retrospective study included 39 patients selected from a hospital database with a histological diagnosis of Hodgkin lymphoma undergoing whole-body MRI (supplemented by DWI) and PET/CT before and after two cycles of vincristine, etoposide, prednisolone and doxorubicin (OEPA). The pretreatment volume, MRI apparent diffusion coefficient (ADC) and PET maximum standardized uptake value (SUV(max)) of the largest nodal mass were determined quantitatively for evaluation of the local response following two cycles of OEPA. Quantitative pretreatment imaging biomarkers (disease volume, ADC, SUV(max)) were compared between sites with an adequate and those with an inadequate response using Fisher's exact test and Mann Whitney statistics. Multivariate models predictive of an inadequate response based on demographic/clinical features, pretreatment disease volume and SUV(max) without (model 1) and with (model 2) the addition of ADC were derived and crossvalidated. The ROC area under curve (AUC) was calculated for both models using the full dataset (training) and the crossvalidation (test) data.
RESULTS: Sites with an adequate response had a significantly lower median pretreatment ADC (1.0 × 10(-3)mm(2)s(-1)) than those with an inadequate response (1.26 × 10(-3)mm(2)s(-1); p < 0.01). There were no significant differences in patient demographic/clinical parameters, pretreatment SUV(max) or pretreatment nodal volume between sites with inadequate and adequate response. The ROC-AUCs for prediction of an inadequate response for the training and test data for model 1 were 0.90 and 0.53, and for model 2 were 0.84 and 0.71, respectively.
CONCLUSION: DWI complements PET for prediction of site-specific interim response to chemotherapy.

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Mesh:

Year:  2012        PMID: 23197155     DOI: 10.1007/s00259-012-2293-7

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  43 in total

1.  18F-FDG PET after 2 cycles of ABVD predicts event-free survival in early and advanced Hodgkin lymphoma.

Authors:  Juliano J Cerci; Luís F Pracchia; Camila C G Linardi; Felipe A Pitella; Dominique Delbeke; Marisa Izaki; Evelinda Trindade; José Soares; Valeria Buccheri; José C Meneghetti
Journal:  J Nucl Med       Date:  2010-08-18       Impact factor: 10.057

2.  Expert opinions on positron emission tomography and computed tomography imaging in lymphoma.

Authors:  Dominique Delbeke; Sigrid Stroobants; Eric de Kerviler; Christian Gisselbrecht; Michel Meignan; Peter S Conti
Journal:  Oncologist       Date:  2009

3.  Newly diagnosed lymphoma: initial results with whole-body T1-weighted, STIR, and diffusion-weighted MRI compared with 18F-FDG PET/CT.

Authors:  Henriëtte M E Quarles van Ufford; Thomas C Kwee; Frederik J Beek; Maarten S van Leeuwen; Taro Takahara; Rob Fijnheer; Rutger A J Nievelstein; John M H de Klerk
Journal:  AJR Am J Roentgenol       Date:  2011-03       Impact factor: 3.959

4.  Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients.

Authors:  Dow-Mu Koh; Erica Scurr; David Collins; Baris Kanber; Andrew Norman; Martin O Leach; Janet E Husband
Journal:  AJR Am J Roentgenol       Date:  2007-04       Impact factor: 3.959

Review 5.  Personalized treatment of lymphoma: promise and reality.

Authors:  Erika Ramsdale; Koen van Besien; Sonali M Smith
Journal:  Semin Oncol       Date:  2011-04       Impact factor: 4.929

6.  Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity.

Authors:  Paul D Humphries; Neil J Sebire; Marilyn J Siegel; Øystein E Olsen
Journal:  Radiology       Date:  2007-10-19       Impact factor: 11.105

7.  Does bulky disease at diagnosis influence outcome in childhood Hodgkin's disease and require higher radiation doses? Results from the German-Austrian Pediatric Multicenter Trial DAL-HD-90.

Authors:  Karin Dieckmann; Richard Pötter; Johannes Hofmann; Harald Heinzl; Wolfgang Wagner; Günther Schellong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-07-01       Impact factor: 7.038

8.  Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma.

Authors:  Thomas Cazaentre; Franck Morschhauser; Maximilien Vermandel; Nacim Betrouni; Thierry Prangère; Marc Steinling; Damien Huglo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-09-30       Impact factor: 9.236

Review 9.  Functional magnetic resonance imaging for defining the biological target volume.

Authors:  Hans-Ulrich Kauczor; Christian Zechmann; Bram Stieltjes; Marc-Andre Weber
Journal:  Cancer Imaging       Date:  2006-06-01       Impact factor: 3.909

10.  Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma.

Authors:  R F Barajas; J L Rubenstein; J S Chang; J Hwang; S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2009-09-03       Impact factor: 4.966

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  31 in total

1.  Influence of selected b values on ADC quantification in diffusion-weighted MRI. Comment on Punwani et al.: Diffusion-weighted MRI of lymphoma: prognostic utility and implications for PET/MRI?

Authors:  Adriano M Priola; Sandro M Priola
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-03-29       Impact factor: 9.236

2.  Accuracy of ADC estimates: response to letter by Priola et al. re Diffusion-weighted MRI of lymphoma: prognostic utility and implications for PET/MRI?

Authors:  Shonit Punwani; Alan Bainbridge; Paul Humphries
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-07       Impact factor: 9.236

3.  Nonsuppressing normal thymus on chemical-shift MR imaging and anterior mediastinal lymphoma: differentiation with diffusion-weighted MR imaging by using the apparent diffusion coefficient.

Authors:  Adriano Massimiliano Priola; Sandro Massimo Priola; Dario Gned; Maria Teresa Giraudo; Andrea Veltri
Journal:  Eur Radiol       Date:  2017-11-15       Impact factor: 5.315

Review 4.  [Molecular imaging of head and neck cancers : Perspectives of PET/MRI].

Authors:  P Stumpp; S Purz; O Sabri; T Kahn
Journal:  Radiologe       Date:  2016-07       Impact factor: 0.635

5.  Comparison of PET/MRI With PET/CT in the Evaluation of Disease Status in Lymphoma.

Authors:  Asim Afaq; Francesco Fraioli; Harbir Sidhu; Simon Wan; Shonit Punwani; Shih-Hsin Chen; Oguz Akin; David Linch; Kirit Ardeshna; Jonathan Lambert; Kenneth Miles; Ashley Groves; Irfan Kayani
Journal:  Clin Nucl Med       Date:  2017-01       Impact factor: 7.794

Review 6.  Surveillance imaging in pediatric Hodgkin Lymphoma.

Authors:  Stephan D Voss
Journal:  Curr Hematol Malig Rep       Date:  2013-09       Impact factor: 3.952

7.  Relationship between pretreatment FDG-PET and diffusion-weighted MRI biomarkers in diffuse large B-cell lymphoma.

Authors:  Antoinette de Jong; Thomas C Kwee; John M H de Klerk; Judit A Adam; Bart de Keizer; Rob Fijnheer; Marie José Kersten; Inge Ludwig; Yvonne W S Jauw; Josée M Zijlstra; Indra C Pieters-Van den Bos; Jaap Stoker; Otto S Hoekstra; Rutger A J Nievelstein
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-04-25

Review 8.  [Simultaneous whole-body PET-MRI in pediatric oncology : More than just reducing radiation?].

Authors:  S Gatidis; B Gückel; C la Fougère; J Schmitt; J F Schäfer
Journal:  Radiologe       Date:  2016-07       Impact factor: 0.635

Review 9.  Competitive advantage of PET/MRI.

Authors:  Hossein Jadvar; Patrick M Colletti
Journal:  Eur J Radiol       Date:  2013-06-18       Impact factor: 3.528

Review 10.  18F-FDG PET/CT and PET/MRI Perform Equally Well in Cancer: Evidence from Studies on More Than 2,300 Patients.

Authors:  Claudio Spick; Ken Herrmann; Johannes Czernin
Journal:  J Nucl Med       Date:  2016-01-07       Impact factor: 10.057

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