Pre-treatment maximum standardized uptake value predicts outcome after frontline therapy in patients with advanced stage follicular lymphoma

Paolo Strati, Mohamed Amin Ahmed, Nathan H. Fowler, Loretta J. Nastoupil, Felipe Samaniego, Luis E. Fayad, Fredrick B. Hagemeister, Jorge E. Romaguera, Alma Rodriguez, Michael Wang, Jason R. Westin, Chan Cheah, Mansoor Noorani, Lei Feng, Richard E. Davis, Sattva S. Neelapu

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20 Scopus citations

Abstract

T he (SUV ic frontlineimpactmax) on the ofregimenspre-treatment outcome has of not follicular maximumbeen explored. lymphoma standardizedWe (FL) performed following uptakea specif- retro-value spective analysis of 346 patients with advanced stage follicular lymphoma (FL) without histological evidence of transformation, and analyzed the impact of SUVmax on outcome after frontline therapy. Fifty-two (15%) patients had a SUVmax >18, and a large lymph node ≥6 cm was the only factor associating with SUVmax >18 on multivariate analysis (odds ratio 2.7, 95% confidence interval [CI]: 1.3-5.3, P=0.006). The complete response rate was significantly lower among patients treated with non-anthracycline-based regimens if SUVmax was >18 (45% vs. 92%, P<0.001), but not among patients treated with R-CHOP (P=1). SUVmax >18 was associated with significantly shorter progression-free survival among patients treated with non-anthracycline-based regimens (77 months vs. not reached, P=0.02), but not among patients treated with R-CHOP (P=0.73). SUVmax >18 associated with shorter overall survival (OS) both in patients treated with R-CHOP (8-year OS 70% vs. 90%, P=0.02) and non-anthracycline-based frontline regimens (8-year OS 50% vs. 85%, P=0.001). In conclusion, pre-treatment PET scan has prognostic and predictive value in patients with advanced stage FL receiving frontline treatment.

Original languageEnglish (US)
Pages (from-to)1907-1913
Number of pages7
JournalHaematologica
Volume105
Issue number7
DOIs
StatePublished - Jul 1 2020

ASJC Scopus subject areas

  • Hematology

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

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