Literature DB >> 24493389

Role of routine imaging in detecting recurrent lymphoma: A review of 258 patients with relapsed aggressive non-Hodgkin and Hodgkin lymphoma.

T C El-Galaly1, Karen Juul Mylam, Martin Bøgsted, Peter Brown, Maria Rossing, Anne Ortved Gang, Anne Haglund, Bente Arboe, Michael Roost Clausen, Paw Jensen, Michael Pedersen, Anne Bukh, Bo Amdi Jensen, Christian Bjørn Poulsen, Francesco d'Amore, Martin Hutchings.   

Abstract

After first-line therapy, patients with Hodgkin lymphoma (HL) and aggressive non-HL are followed up closely for early signs of relapse. The current follow-up practice with frequent use of surveillance imaging is highly controversial and warrants a critical evaluation. Therefore, a retrospective multicenter study of relapsed HL and aggressive non-HL (nodal T-cell and diffuse large B-cell lymphomas) was conducted. All included patients had been diagnosed during the period 2002-2011 and relapsed after achieving complete remission on first-line therapy. Characteristics and outcome of imaging-detected relapses were compared with other relapses. A total of 258 patients with recurrent lymphoma were included in the study. Relapse investigations were initiated outside preplanned visits in 52% of the patients. Relapse detection could be attributed to patient-reported symptoms alone or in combination with abnormal blood tests or physical examination in 64% of the patients. Routine imaging prompted relapse investigations in 27% of the patients. The estimated number of routine scans per relapse was 91-255 depending on the lymphoma subtype. Patients with imaging-detected relapse had lower disease burden (P = 0.045) and reduced risk of death following relapse (hazard ratio = 0.62, P = 0.02 in multivariate analysis). Patient-reported symptoms are still the most common factor for detecting lymphoma relapse and the high number of scans per relapse calls for improved criteria for use of surveillance imaging. However, imaging-detected relapse was associated with lower disease burden and a possible survival advantage. The future role of routine surveillance imaging should be defined in a randomized trial.
© 2014 Wiley Periodicals, Inc.

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Year:  2014        PMID: 24493389     DOI: 10.1002/ajh.23688

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  15 in total

1.  Baseline and ongoing PET-derived factors predict detrimental effect or potential utility of 18F-FDG PET/CT (FDG-PET/CT) performed for surveillance in asymptomatic lymphoma patients in first remission.

Authors:  Silvia Morbelli; Selene Capitanio; Fabrizio De Carli; Francesca Bongioanni; Enrico De Astis; Maurizio Miglino; Maria Teresa Verardi; Ambra Buschiazzo; Francesco Fiz; Cecilia Marini; Elena Pomposelli; Gianmario Sambuceti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-08-19       Impact factor: 9.236

2.  Utility of routine post-therapy surveillance imaging in diffuse large B-cell lymphoma.

Authors:  Carrie A Thompson; Herve Ghesquieres; Matthew J Maurer; James R Cerhan; Pierre Biron; Stephen M Ansell; Catherine Chassagne-Clément; David J Inwards; Thérèse Gargi; Patrick B Johnston; Emmanuelle Nicolas-Virelizier; William R Macon; Marie Peix; Ivana N Micallef; Catherine Sebban; Grzegorz S Nowakowski; Luis F Porrata; George J Weiner; Thomas E Witzig; Thomas M Habermann; Brian K Link
Journal:  J Clin Oncol       Date:  2014-09-29       Impact factor: 44.544

Review 3.  Surveillance Scans in Lymphoma: Friend or Foe?

Authors:  Tycel Phillips; Jessica Mercer
Journal:  Curr Treat Options Oncol       Date:  2017-02

4.  Hodgkin lymphoma, version 2.2015.

Authors:  Richard T Hoppe; Ranjana H Advani; Weiyun Z Ai; Richard F Ambinder; Patricia Aoun; Celeste M Bello; Cecil M Benitez; Philip J Bierman; Kristie A Blum; Robert Chen; Bouthaina Dabaja; Andres Forero; Leo I Gordon; Francisco J Hernandez-Ilizaliturri; Ephraim P Hochberg; Jiayi Huang; Patrick B Johnston; Nadia Khan; David G Maloney; Peter M Mauch; Monika Metzger; Joseph O Moore; David Morgan; Craig H Moskowitz; Carolyn Mulroney; Matthew Poppe; Rachel Rabinovitch; Stuart Seropian; Christina Tsien; Jane N Winter; Joachim Yahalom; Jennifer L Burns; Hema Sundar
Journal:  J Natl Compr Canc Netw       Date:  2015-05       Impact factor: 11.908

5.  Very low utility of surveillance imaging in early-stage classic Hodgkin lymphoma treated with a combination of doxorubicin, bleomycin, vinblastine, and dacarbazine and radiation therapy.

Authors:  Neetha Gandikota; Sidonie Hartridge-Lambert; Jocelyn C Migliacci; Joachim Yahalom; Carol S Portlock; Heiko Schöder
Journal:  Cancer       Date:  2015-03-04       Impact factor: 6.860

Review 6.  Next-generation surveillance strategies for patients with lymphoma.

Authors:  Jonathon B Cohen; David M Kurtz; Ashley D Staton; Christopher R Flowers
Journal:  Future Oncol       Date:  2015       Impact factor: 3.404

7.  Surveillance imaging during first remission in follicular lymphoma does not impact overall survival.

Authors:  Max L Goldman; Jimmy J Mao; Christopher S Strouse; Wanqi Chen; Manali Rupji; Zhengjia Chen; Matthew J Maurer; Oscar Calzada; Michael Churnetski; Christopher R Flowers; James R Cerhan; Brian K Link; Carrie A Thompson; Jonathon B Cohen
Journal:  Cancer       Date:  2021-06-22       Impact factor: 6.921

8.  Diffuse Large B Cell Lymphoma with Extensive Cutaneous Relapse.

Authors:  Umit Yavuz Malkan; Gursel Gunes; Okan Yayar; Haluk Demiroglu
Journal:  Case Rep Med       Date:  2015-09-20

9.  Residential Radon Exposure and Incidence of Childhood Lymphoma in Texas, 1995-2011.

Authors:  Erin C Peckham; Michael E Scheurer; Heather E Danysh; Joseph Lubega; Peter H Langlois; Philip J Lupo
Journal:  Int J Environ Res Public Health       Date:  2015-09-25       Impact factor: 3.390

10.  The Danish National Lymphoma Registry: Coverage and Data Quality.

Authors:  Bente Arboe; Tarec Christoffer El-Galaly; Michael Roost Clausen; Peter Svenssen Munksgaard; Danny Stoltenberg; Mette Kathrine Nygaard; Tobias Wirenfeldt Klausen; Jacob Haaber Christensen; Jette Sønderskov Gørløv; Peter de Nully Brown
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

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