Literature DB >> 19820933

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

Thomas Cazaentre1, Franck Morschhauser, Maximilien Vermandel, Nacim Betrouni, Thierry Prangère, Marc Steinling, Damien Huglo.   

Abstract

PURPOSE: Radioimmunotherapy (RIT) is a new treatment option for patients with non-Hodgkin lymphoma (NHL). Response to RIT currently remains difficult to predict using conventional prognostic factors and could be refined using functional imaging. The goal of this work is to evaluate the value of (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) in predicting response to Yttrium 90-labeled monoclonal antibodies for patients with NHL.
METHODS: Thirty-five patients with NHL who had undergone (18)F-FDG PET prior to RIT with either (90)Y-ibritumomab tiuxetan (group A; n = 17) or (90)Y-epratuzumab tetraxetan (group B; n = 18) were included in this retrospective study. Four functional criteria were determined for each tumour lesion in a given patient: maximum and mean standard uptake values (SUVmax and SUVmean), functional lesion volume (LVol) and total lesion glycolysis (TLG, product of the volume and the SUVmean). For each patient, we determined highest SUVmax and SUVmean, cumulative TLG (TLGcum) and sum of all LVol (TVol) and compared their predictive value on response (complete or partial response according to IWC) to RIT with those of conventional prognostic factors in group A and B.
RESULTS: A total of 154 lesions were analysed. Nineteen patients (54%) responded to RIT according to IWC. In group A, response rate was 54, 75 and 75% in patients with a SUV max <20 g/ml, a TVol <100 ml and a TLGcum <1060 g, respectively while no patient above these thresholds responded (p < 0.005). In group B, the response rate was 93% for with SUVmax <15 g/ml while no patient above this threshold responded. With TLGcum below 1,360 g, 100% of the patient responded, compared with 37% of patients whose TLGcum was above this threshold (p < 0.05). By contrast, conventional prognostic factors failed to predict response.
CONCLUSIONS: Our preliminary results indicate that pre-therapy (18)F-FDG PET functional parameters such as SUVmax and TLG may help predicting more accurately response to single agent Y90 based RIT.

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Year:  2009        PMID: 19820933     DOI: 10.1007/s00259-009-1275-x

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


  41 in total

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Journal:  J Clin Oncol       Date:  1999-04       Impact factor: 44.544

2.  Anatomy of SUV. Standardized uptake value.

Authors:  S C Huang
Journal:  Nucl Med Biol       Date:  2000-10       Impact factor: 2.408

3.  PET predicts prognosis after 1 cycle of chemotherapy in aggressive lymphoma and Hodgkin's disease.

Authors:  Lale Kostakoglu; Morton Coleman; John P Leonard; Ichiei Kuji; Holly Zoe; Stanley J Goldsmith
Journal:  J Nucl Med       Date:  2002-08       Impact factor: 10.057

4.  Revised response criteria for malignant lymphoma.

Authors:  Bruce D Cheson; Beate Pfistner; Malik E Juweid; Randy D Gascoyne; Lena Specht; Sandra J Horning; Bertrand Coiffier; Richard I Fisher; Anton Hagenbeek; Emanuele Zucca; Steven T Rosen; Sigrid Stroobants; T Andrew Lister; Richard T Hoppe; Martin Dreyling; Kensei Tobinai; Julie M Vose; Joseph M Connors; Massimo Federico; Volker Diehl
Journal:  J Clin Oncol       Date:  2007-01-22       Impact factor: 44.544

5.  The prognostic significance of fluorodeoxyglucose positron emission tomography imaging for patients with nonsmall cell lung carcinoma.

Authors:  V Ahuja; R E Coleman; J Herndon; E F Patz
Journal:  Cancer       Date:  1998-09-01       Impact factor: 6.860

6.  Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging. The Visual Response Score and the Change in Total Lesion Glycolysis.

Authors:  Steven M. Larson; Yusuf Erdi; Timothy Akhurst; Madhu Mazumdar; Homer A. Macapinlac; Ronald D. Finn; Cecille Casilla; Melissa Fazzari; Neil Srivastava; Henry W.D. Yeung; John L. Humm; Jose Guillem; Robert Downey; Martin Karpeh; Alfred E. Cohen; Robert Ginsberg
Journal:  Clin Positron Imaging       Date:  1999-05

7.  Radioimmunotherapy of non-Hodgkin's lymphoma with 90Y-DOTA humanized anti-CD22 IgG (90Y-Epratuzumab): do tumor targeting and dosimetry predict therapeutic response?

Authors:  Robert M Sharkey; Arnold Brenner; Jack Burton; George Hajjar; Stephen P Toder; Abass Alavi; Alexander Matthies; Donald E Tsai; Stephen J Schuster; Edward A Stadtmauer; Myron S Czuczman; Dominick Lamonica; Françoise Kraeber-Bodere; Beatrice Mahe; Jean-François Chatal; André Rogatko; George Mardirrosian; David M Goldenberg
Journal:  J Nucl Med       Date:  2003-12       Impact factor: 10.057

8.  18F-FDG PET/CT for monitoring the response of lymphoma to radioimmunotherapy.

Authors:  Heather A Jacene; Ross Filice; Wayne Kasecamp; Richard L Wahl
Journal:  J Nucl Med       Date:  2008-12-17       Impact factor: 10.057

9.  A predictive model for aggressive non-Hodgkin's lymphoma.

Authors: 
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

10.  Early restaging positron emission tomography with ( 18)F-fluorodeoxyglucose predicts outcome in patients with aggressive non-Hodgkin's lymphoma.

Authors:  K Spaepen; S Stroobants; P Dupont; P Vandenberghe; J Thomas; T de Groot; J Balzarini; C De Wolf-Peeters; L Mortelmans; G Verhoef
Journal:  Ann Oncol       Date:  2002-09       Impact factor: 32.976

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  33 in total

1.  Impact of partial-volume effect correction on the predictive and prognostic value of baseline 18F-FDG PET images in esophageal cancer.

Authors:  Mathieu Hatt; Adrien Le Pogam; Dimitris Visvikis; Olivier Pradier; Catherine Cheze Le Rest
Journal:  J Nucl Med       Date:  2012-01       Impact factor: 10.057

2.  Early treatment response evaluation in patients with diffuse large B-cell lymphoma--a pilot study comparing volumetric MRI and PET/CT.

Authors:  Xingchen Wu; Prasun Dastidar; Hannu Pertovaara; Pasi Korkola; Ritva Järvenpää; Maija Rossi; Tiit Kööbi; Hannu Eskola; Pirkko-Liisa Kellokumpu-Lehtinen
Journal:  Mol Imaging Biol       Date:  2011-08       Impact factor: 3.488

3.  Combined PET/CT-perfusion in patients with head and neck cancers.

Authors:  Patrick Veit-Haibach; Daniel Schmid; Klaus Strobel; Jan D Soyka; Niklaus G Schaefer; Stephan K Haerle; Gerhard Huber; Gabriele Studer; Burkhardt Seifert; Thomas F Hany
Journal:  Eur Radiol       Date:  2012-07-08       Impact factor: 5.315

4.  Baseline PET features to predict prognosis in primary mediastinal B cell lymphoma: a comparative analysis of different methods for measuring baseline metabolic tumour volume.

Authors:  Luca Ceriani; Lisa Milan; Peter W M Johnson; Maurizio Martelli; Stefano Presilla; Luca Giovanella; Emanuele Zucca
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-02-26       Impact factor: 9.236

Review 5.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

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Journal:  Mol Imaging Biol       Date:  2012-04       Impact factor: 3.488

6.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

7.  The age of reason for FDG PET image-derived indices.

Authors:  Dimitris Visvikis; Mathieu Hatt; Florent Tixier; Catherine Cheze Le Rest
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-09-12       Impact factor: 9.236

8.  Baseline total lesion glycolysis measured with (18)F-FDG PET/CT as a predictor of progression-free survival in diffuse large B-cell lymphoma: a pilot study.

Authors:  Shadi A Esfahani; Pedram Heidari; Elkan F Halpern; Ephraim P Hochberg; Edwin L Palmer; Umar Mahmood
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-04-09

Review 9.  Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis.

Authors:  Sugama Chicklore; Vicky Goh; Musib Siddique; Arunabha Roy; Paul K Marsden; Gary J R Cook
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-13       Impact factor: 9.236

10.  Comparison of PET metabolic indices for the early assessment of tumour response in metastatic colorectal cancer patients treated by polychemotherapy.

Authors:  Jacques-Antoine Maisonobe; Camilo A Garcia; Hatem Necib; Bruno Vanderlinden; Alain Hendlisz; Patrick Flamen; Irène Buvat
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

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