Investigation of the diffusion abnormality index as a new imaging biomarker for early assessment of brain tumor response to radiation therapy

Reza Farjam, Christina I. Tsien, Felix Y. Feng, Diana Gomez-Hassan, James A. Hayman, Theodore S. Lawrence, Yue Cao

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

BackgroundDiffusion MRI, although having the potential to be a biomarker for early assessment of tumor response to therapy, could be confounded by edema and necrosis in or near the brain tumors. This study aimed to develop and investigate the ability of the diffusion abnormality index (DAI) to be a new imaging biomarker for early assessment of brain metastasis response to radiation therapy (RT).MethodsPatients with either radiosensitive or radioresistant brain metastases that were treated by whole brain RT alone or combined with bortezomib as a radiation sensitizer had diffusion-weighted (DW) MRI pre-RT and 2 weeks (2W) after starting RT. A patient-specific diffusion abnormality probability function (DAProF) was created to account for abnormal low and high apparent diffusion coefficients differently, reflecting respective high cellularity and edema/necrosis. The DAI of a lesion was then calculated by the integral of DAProF-weighted tumor apparent diffusion coefficient histogram. The changes in DAI from pre-RT to 2W were evaluated for differentiating the responsive, stable, and progressive tumors and compared with the changes in gross tumor volume and conventional diffusion metrics during the same time interval.ResultsIn lesions treated with whole brain RT, the DAI performed the best among all metrics in predicting the posttreatment response of brain metastases to RT. In lesions treated with whole brain RT + bortezomib, although DAI was the best predictor, the performance of all metrics worsened compared with the first group.ConclusionsThe ability of DAI for early assessment of brain metastasis response to RT depends upon treatment regimes.

Original languageEnglish
Pages (from-to)131-139
Number of pages9
JournalNeuro-oncology
Volume16
Issue number1
DOIs
StatePublished - Jan 1 2014

Keywords

  • DW-MRI
  • cancer
  • diffusion abnormality index
  • imaging biomarker

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