Literature DB >> 28416502

Interim PET-driven strategy in de novo diffuse large B-cell lymphoma: do we trust the driver?

Steven Le Gouill1,2,3, René-Olivier Casasnovas4,5.   

Abstract

18F-Fluorodeoxyglucose-positron emission tomography (FDG-PET) has become a central tool for both accurate initial staging and determination of prognosis after treatment of diffuse large B-cell lymphoma (DLBCL). However, the role of PET during treatment (iPET) in daily practice remains a matter of significant debate. This perspective reviews the published studies on iPET in DLBCL, including the methods used to analyze iPET, its timing, and studies of iPET-driven therapy to illuminate where daily practice may benefit from the use of iPET. When performed after 2 and/or 4 courses of immunochemotherapy, iPET has a very good negative predictive value, utilizing both visual (qualitative) and semiquantitative methods. The visual method accurately predicts outcome for patients with limited disease. The semiquantitative method, eg, the change of the difference of maximum standardized uptake value (ΔSUVmax), is for patients with advanced DLBCL, for whom iPET identifies patients with very good outcome with continuation of standard therapy. A low ΔSUVmax also helps identify patients with a risk for relapse averaging 50% and warrants review of their scheduled therapy. To date, no trial has demonstrated the superiority of an iPET-driven strategy in DLBCL. However, the very good negative and good positive predictive values of iPET support its use in daily practice as a better predictive tool than contrast-enhanced computed tomographic scan for therapeutic decision making.
© 2017 by The American Society of Hematology.

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Year:  2017        PMID: 28416502     DOI: 10.1182/blood-2016-05-672196

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  10 in total

1.  Quantitative Assessment of Interim PET/CT Could Have More Prognostic Relevance than Visual Assessment for Predicting Clinical Outcome of Extranodal Diffuse Large B Cell Lymphoma.

Authors:  Dong Won Baek; Hee Jeong Cho; Ju-Hyung Kim; Sang Kyun Sohn; Ga-Young Song; Seo-Yeon Ahn; Sung-Hoon Jung; Jae Sook Ahn; Je-Jung Lee; Hyeoung-Joon Kim; Shin-Young Jeong; Chae Moon Hong; Jung-Joon Min; Joon-Ho Moon; Deok-Hwan Yang
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  Outcomes after first-line immunochemotherapy for primary mediastinal B-cell lymphoma: a LYSA study.

Authors:  Vincent Camus; Cédric Rossi; Pierre Sesques; Justine Lequesne; David Tonnelet; Corinne Haioun; Eric Durot; Alexandre Willaume; Martin Gauthier; Marie-Pierre Moles-Moreau; Chloé Antier; Julien Lazarovici; Hélène Monjanel; Sophie Bernard; Magalie Tardy; Caroline Besson; Laure Lebras; Sylvain Choquet; Katell Le Du; Christophe Bonnet; Sarah Bailly; Ghandi Damaj; Kamel Laribi; Hervé Maisonneuve; Roch Houot; Adrien Chauchet; Fabrice Jardin; Alexandra Traverse-Glehen; Pierre Decazes; Stéphanie Becker; Alina Berriolo-Riedinger; Hervé Tilly
Journal:  Blood Adv       Date:  2021-10-12

3.  18F-Fluorothymidine PET is an early and superior predictor of progression-free survival following chemoimmunotherapy of diffuse large B cell lymphoma: a multicenter study.

Authors:  Malik E Juweid; Andrew Quon; Ryogo Minamimoto; Luis Fayad; Julie Vose; Jane Meza; Ranjana Advani; Jordan Hankins; Felix Mottaghy; Homer Macapinlac; Alexander Heinzel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-04-28       Impact factor: 9.236

4.  Non-invasive monitoring of diffuse large B-cell lymphoma by cell-free DNA high-throughput targeted sequencing: analysis of a prospective cohort.

Authors:  Elodie Bohers; Pierre-Julien Viailly; Stéphanie Becker; Vinciane Marchand; Philippe Ruminy; Catherine Maingonnat; Philippe Bertrand; Pascaline Etancelin; Jean-Michel Picquenot; Vincent Camus; Anne-Lise Menard; Emilie Lemasle; Nathalie Contentin; Stéphane Leprêtre; Pascal Lenain; Aspasia Stamatoullas; Hélène Lanic; Julie Libraire; Sandrine Vaudaux; Louis-Ferdinand Pepin; Pierre Vera; Hervé Tilly; Fabrice Jardin
Journal:  Blood Cancer J       Date:  2018-08-01       Impact factor: 11.037

5.  Comparison of therapeutic evaluation criteria in FDG-PET/CT in patients with diffuse large-cell B-cell lymphoma: Prognostic impact of tumor/liver ratio.

Authors:  Mathieu N Toledano; Pierre Vera; Hervé Tilly; Fabrice Jardin; Stéphanie Becker
Journal:  PLoS One       Date:  2019-02-07       Impact factor: 3.240

6.  Interim PET/CT based on visual and semiquantitative analysis predicts survival in patients with diffuse large B-cell lymphoma.

Authors:  Xiaoqian Li; Xun Sun; Juan Li; Zijian Liu; Mi Mi; Fang Zhu; Gang Wu; Xiaoli Lan; Liling Zhang
Journal:  Cancer Med       Date:  2019-07-10       Impact factor: 4.452

7.  A better prediction of progression-free survival in diffuse large B-cell lymphoma by a prognostic model consisting of baseline TLG and %ΔSUVmax.

Authors:  Yi-Yang Zhang; Le Song; Mei-Xin Zhao; Kai Hu
Journal:  Cancer Med       Date:  2019-07-25       Impact factor: 4.452

8.  Prognostic significance of interim PET/CT response for the treatment of advanced-stage marginal zone lymphoma in the post-rituximab era.

Authors:  Ho-Young Yhim; Deok-Hwan Yang; Ga-Young Song; Sang Eun Yoon; Seok Jin Kim; Jin Seok Kim; Youngil Koh; Joon-Ho Moon; Sung Yong Oh; Ho Sup Lee; Ho-Jin Shin; Young Rok Do; Won Sik Lee; Dae Sik Kim; Yong Park
Journal:  Sci Rep       Date:  2020-07-15       Impact factor: 4.379

9.  Early Interim Chemotherapy Response Evaluation by F-18 FDG PET/CT in Diffuse Large B Cell Lymphoma.

Authors:  Hye Lim Park; Eun Ji Han; Joo Hyun O; Byung-Ock Choi; Gyeongsin Park; Seung-Eun Jung; Seung-Ah Yahng; Ki-Seong Eom; Seok-Goo Cho
Journal:  Diagnostics (Basel)       Date:  2020-11-24

10.  Four cycles of R-CHOP followed by two applications of rituximab based on negative interim PET/CT: an analysis of a prospective trial.

Authors:  Jia Jin; Dongmei Ji; Zuguang Xia; Kai Xue; Qunling Zhang; Yizhen Liu; Junning Cao; Xiaonan Hong; Juan J Gu; Ye Guo; Fangfang Lv
Journal:  BMC Cancer       Date:  2022-04-13       Impact factor: 4.430

  10 in total

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