Tumor size as a predictor of outcome in pediatric non-metastatic osteosarcoma of the extremity

Sue C. Kaste, T. Liu, C. A. Billups, N. C. Daw, C. B. Pratt, W. H. Meyer

Research output: Contribution to journalArticle

37 Scopus citations

Abstract

Background. Better predictors of outcome would allow improved risk-adapted therapy for pediatric nonmetastatic osteosarcoma of the extremity. We investigated the predictive value of MR imaging-based measures of absolute and relative tumor size and volume at the time of diagnosis. We also assessed the relation of tumor size to age and histologic response. Methods. We retrospectively abstracted demographic, treatment history, and outcome information of patients treated on a single institutional protocol. A single pediatric oncologic radiologist manually measured each primary lesion and the affected native bone in three dimensions on MR images obtained at the time of diagnosis. Eight parameters of tumor size were analyzed for their value in predicting overall survival (OS) and event-free survival (EFS). Results. The median age of the 42 patients was 13.5 years (range: 5.9-18.7 years); 50% were female and 74% were Caucasian. Absolute tumor volume was an important predictor of OS (P < 0.05); absolute tumor depth (analyzed as a continuous variable) was a significant predictor of OS (P = 0.018) and EFS (P = 0.036). Relative measures of tumor size were not found to predict outcome. No relation was seen between tumor size and histologic response. Conclusions. Absolute tumor size at the time of diagnosis is significantly predictive of OS and EFS. If validated in a larger study, this indicator should be used in the design of risk-adapted treatment protocols for osteosarcoma.

Original languageEnglish (US)
Pages (from-to)723-728
Number of pages6
JournalPediatric Blood and Cancer
Volume43
Issue number7
DOIs
StatePublished - Dec 1 2004

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Keywords

  • MR
  • Osteosarcoma
  • Pediatric cancer

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Hematology
  • Oncology

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