Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis

J. Cha, Sung Tae Kim, H. J. Kim, B. J. Kim, Y. K. Kim, J. Y. Lee, P. Jeon, K. H. Kim, D. S. Kong, D. H. Nam

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

BACKGROUND AND PURPOSE: The multiparametric imaging can show us different aspects of tumor behavior and may help differentiation of tumor recurrence from treatment related change. Our aim was to differentiate tumor progression from pseudoprogression in patients with glioblastoma by using multiparametric histogram analysis of 2 consecutive MR imaging studies with relative cerebral blood volume and ADC values. MATERIALS AND METHODS: Thirty-five consecutive patients with glioblastoma with new or increased size of enhancing lesions after concomitant chemoradiation therapy following surgical resection were included. Combined histograms were made by using the relative cerebral blood volume and ADC values of enhancing areas for initial and follow-up MR imaging, and subtracted histograms were also prepared. The histogram parameters between groups were compared. The diagnostic accuracy of tumor progression based on the histogram parameters of initial and follow-up MR imaging and subtracted histograms was compared and correlated with overall survival. RESULTS: Twenty-four pseudoprogressions and 11 tumor progressions were determined. Diagnosis based on the subtracted histogram mode with a multiparametric approach was more accurate than the diagnosis based on the uniparametric approach (area under the receiver operating characteristic curve of 0.877 versus 0.801), with 81.8% sensitivity and 100% specificity. A high mode of relative cerebral blood volume on the subtracted histogram by using a multiparametric approach (relative cerebral blood volume XADC) was the best predictor of true tumor progression (P < .001) and worse survival (P = .003). CONCLUSIONS: Multiparametric histogram analysis of posttreatment glioblastoma was useful to predict true tumor progression and worse survival.

Original languageEnglish
Pages (from-to)1309-1317
Number of pages9
JournalAmerican Journal of Neuroradiology
Volume35
Issue number7
DOIs
Publication statusPublished - 2014 Jul
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

Fingerprint Dive into the research topics of 'Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis'. Together they form a unique fingerprint.

  • Cite this

    Cha, J., Kim, S. T., Kim, H. J., Kim, B. J., Kim, Y. K., Lee, J. Y., Jeon, P., Kim, K. H., Kong, D. S., & Nam, D. H. (2014). Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis. American Journal of Neuroradiology, 35(7), 1309-1317. https://doi.org/10.3174/ajnr.A3876