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European Journal of Nuclear Medicine and Molecular Imaging

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01-05-2018 | Letter to the Editor

Reply to: “All that glitters is not gold – new reconstruction methods using Deauville criteria for patient reporting”

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 5/2018

Excerpt

We thank the Editor-in-Chief for allowing us the opportunity to reply to Barrington et al. [1] and provide some insight into the issue of advanced algorithms in PET imaging of lymphoma patients. We believe that, although advances in PET technology require scientific evaluation, they are a chance to improve the diagnostic/prognostic ability of PET, and should not be considered to be the source of a detrimental effect on Deauville scoring until proven otherwise. In the case of discrepancies between former and new PET systems, studies seeking to determine which reconstruction method provides the best patient risk stratification should be the gold standard. Our main point is that the impact of newer reconstruction methods on Deauville scoring and delta standardized uptake value (ΔSUV), including at least point spread function (PSF) modelling, is in fact only minimal. …

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van der Vos CS, Koopman D, Rijnsdorp S, Arends AJ, Boellaard R, van Dalen JA, et al. Quantification, improvement, and harmonization of small lesion detection with state-of-the-art PET. Eur J Nucl Med Mol Imaging. 2017;44:4–16. https://doi.org/10.1007/s00259-017-3727-z.CrossRefPubMedCentralPubMed

Enilorac B, Lasnon C, Nganoa C, Fruchart C, Gac AC, Damaj G, et al. Does PET reconstruction method affect Deauville scoring in lymphoma patients? J Nucl Med. 2017. https://doi.org/10.2967/jnumed.117.202721.PubMed

Casasnovas RO, Meignan M, Berriolo-Riedinger A, Bardet S, Julian A, Thieblemont C, et al. SUVmax reduction improves early prognosis value of interim positron emission tomography scans in diffuse large B-cell lymphoma. Blood. 2011;118:37–43. https://doi.org/10.1182/blood-2010-12-327767.CrossRefPubMed

Bodet-Milin C, Kraeber-Bodere F, Moreau P, Campion L, Dupas B, Le Gouill S. Investigation of FDG-PET/CT imaging to guide biopsies in the detection of histological transformation of indolent lymphoma. Haematologica. 2008;93:471–2. https://doi.org/10.3324/haematol.12013.CrossRefPubMed

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Boellaard R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328–54. https://doi.org/10.1007/s00259-014-2961-x.CrossRefPubMed

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10.

Cottereau AS, Hapdey S, Chartier L, Modzelewski R, Casasnovas O, Itti E, et al. Baseline total metabolic tumor volume measured with fixed or different adaptive thresholding methods equally predicts outcome in peripheral T cell lymphoma. J Nucl Med. 2017;58:276–81. https://doi.org/10.2967/jnumed.116.180406.CrossRefPubMed

11.

Kaalep A, Sera T, Oyen W, Krause BJ, Chiti A, Liu Y, et al. EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems. Eur J Nucl Med Mol Imaging. 2017. https://doi.org/10.1007/s00259-017-3853-7.PubMedCentralPubMed

12.

Barrington SF, Kirkwood AA, Franceschetto A, Fulham MJ, Roberts TH, Almquist H, et al. PET-CT for staging and early response: results from the Response-Adapted Therapy in Advanced Hodgkin Lymphoma study. Blood. 2016;127:1531–8. https://doi.org/10.1182/blood-2015-11-679407.CrossRefPubMed

13.

Quak E, Le Roux PY, Hofman MS, Robin P, Bourhis D, Callahan J, et al. Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients. Eur J Nucl Med Mol Imaging. 2015;42:2072–82. https://doi.org/10.1007/s00259-015-3128-0.CrossRefPubMedCentralPubMed

Title: Reply to: “All that glitters is not gold – new reconstruction methods using Deauville criteria for patient reporting”
Publication date: 01-05-2018
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 5/2018
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-018-3938-y

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