Role of the apparent diffusion coefficient as a predictor of tumor progression in patients with chordoma

T. Sasaki, T. Moritani, A. Belay, A. A. Capizzano, S. P. Sato, Y. Sato, P. Kirby, S. Ishitoya, A. Oya, M. Toda, K. Takahashi

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

BACKGROUND AND PURPOSE: Diffusion-weighted imaging may aid in distinguishing aggressive chordoma from nonaggressive chordoma. This study explores the prognostic role of the apparent diffusion coefficient in chordomas. MATERIALS AND METHODS: Sixteen patients with residual or recurrent chordoma were divided postoperatively into those with an aggressive tumor, defined as a growing tumor having a doubling time of 1 year, and those with a nonaggressive tumor on follow-up MR images. The ability of the ADC to predict an aggressive tumor phenotype was investigated by receiver operating characteristic analysis. The prognostic role of ADC was assessed using a Kaplan-Meier curve with a log-rank test. RESULTS: Seven patients died during a median follow-up of 48 months (range, 4 -126 months). Five of these 7 patients were in the aggressive tumor group, and 2 were in the nonaggressive tumor group. The mean ADC was significantly lower in the aggressive tumor group than in the nonaggressive tumor group (P .002). Receiver operating characteristic analysis showed that a cutoff ADC value of 1.494 103 mm2/s could be used to diagnose aggressive tumors with an area under the curve of 0.983 (95% CI, 0.911-1.000), a sensitivity of 1.000 (95% CI, 0.541-1.000), and a specificity of 0.900 (95% CI, 0.555- 0.998). Furthermore, a cutoff ADC of 1.494 103 mm2/s was associated with a significantly worse prognosis (P .006). CONCLUSIONS: Lower ADC values could predict tumor progression in postoperative chordomas.

Original languageEnglish
Pages (from-to)1316-1321
Number of pages6
JournalAmerican Journal of Neuroradiology
Volume39
Issue number7
DOIs
Publication statusPublished - Jul 1 2018
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

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