Literature DB >> 23417358

Early response evaluation for recurrent high grade gliomas treated with bevacizumab: a volumetric analysis using diffusion-weighted imaging.

Eui Jin Hwang1, Yongjun Cha, A Leum Lee, Tae Jin Yun, Tae Min Kim, Chul-Kee Park, Ji-Hoon Kim, Chul-Ho Sohn, Sung-Hye Park, Il Han Kim, Dae Seog Heo, Se-Hoon Lee, Seung Hong Choi.   

Abstract

Bevacizumab is a novel treatment for the recurrent high-grade gliomas (rHGG). However, only a subset of the patients shows response to the bevacizumab treatment and the response evaluation using conventional criteria is difficult. The purpose of our study was to evaluate the early response for rHGG treated with bevacizumab using volumetric analysis of diffusion-weighted imaging (DWI). Twenty-nine patients who received bevacizumab therapy for rHGG were included in our study. All patients received a conventional MRI scan with DWI before and after the initial bevacizumab dose. For each MRI, we measured the total volume of the T2 hyperintense lesion (HT2) of the rHGG, the volume of foci with a lower ADC value than that of the normal cortex (LADC), and the proportion of LADC to HT2 (LADC/HT2). The Changes in the HT2, LADC and LADC/HT2 after bevacizumab treatment were also determined. Thereafter, those volumetric data were compared to the progression free survival (PFS). After the analyses, we found a significant negative correlation between the PFS and the LADC for the post-bevacizumab ADC maps (r = -0.413, P = 0.026). The patients with an LADC of <2.5 cm(3) showed a longer PFS than those with an LADC of ≥2.5 cm(3) (median = 135 vs. 91 days, P = 0.002) on the post-bevacizumab ADC maps. A multiple linear regression analysis revealed that only the post-bevacizumab LADC was a significant predictor of the PFS (P = 0.026). In conclusion, the post-bevacizumab LADC can be used for an early response evaluation and can predict the PFS for rHGG patients treated with bevacizumab.

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Year:  2013        PMID: 23417358     DOI: 10.1007/s11060-013-1072-z

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  27 in total

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