R-CHOP(-like) treatment of diffuse large B-cell lymphoma significantly reduces CT-assessed vertebral bone density: a single center study of 111 patients

Pernille Svendsen, Nitesh Shekhrajka, Kasper Lindblad Nielsen, Peter Vestergaard, Mette Østergaard Poulsen, Anders Krog Vistisen, Peter Svenssen Munksgaard, Marianne Tang Severinsen, Paw Jensen, Hans Erik Johnsen, Lasse Hjort Jakobsen, Martin Bøgsted, Jens Brøndum Frøkjær, Tarec Christoffer El-Galaly

Research output: Contribution to journalJournal articleResearchpeer-review

25 Citations (Scopus)

Abstract

Treatment of diffuse large B-cell lymphoma (DLBCL) with R-CHOP(-like) regimens include large cumulative doses of prednisolone. In this retrospective study, we evaluated changes in vertebral bone density (VD) in DLBCL patients by measuring CT-ascertained Hounsfield units (HU) at the L3 level. In total, 111 patients diagnosed from 2007 to 2012 and response assessed following first line treatment were included. Post-treatment VD was significantly reduced to 86% of pretreatment VD on average (p < .001). Neither female sex nor high age (>70 years) were significantly associated with greater post-treatment VD reduction. Two years after completing R-CHOP treatment, VD remained significantly lower than baseline VD (p < .001). Vertebral compression fractures visualized by CT were found in 16/111 patients (14%) during follow-up. In conclusion, bone mineral density is significantly reduced following R-CHOP(-like) treatment and vertebral compression fractures are common. Glucocorticoid-induced osteoporosis may therefore have impact on survivorship for the large fraction of DLBCL patients with durable remissions.

Original languageEnglish
JournalLeukemia and Lymphoma
Volume58
Issue number5
Pages (from-to)1105-1113
Number of pages9
ISSN1042-8194
DOIs
Publication statusPublished - 2017

Fingerprint

Dive into the research topics of 'R-CHOP(-like) treatment of diffuse large B-cell lymphoma significantly reduces CT-assessed vertebral bone density: a single center study of 111 patients'. Together they form a unique fingerprint.

Cite this