PURPOSE: To determine whether the apparent diffusion coefficient (ADC) can be used to distinguish between tumor tissue and peritumoral brain tissue in cerebral gliomas. MATERIALS AND METHODS: Twenty-two patients with 44 biopsies were enrolled in this study. ADC maps calculated from a diffusion-weighted (DW) multislice EPI sequence were coregistered with conventional MR images. Neuronavigated biopsies and intraoperative markers were used for correlation with the histologic specimens. ADC values and lesion-to-brain ratios of the different sequences were calculated and compared for tumor tissue and peritumoral brain tissue. A logistic regression analysis was performed to determine the diagnostic value of the ADC maps. RESULTS: The ADC values and ratios demonstrated a large overlap between tumor tissue and peritumoral tissue. Group comparisons revealed a significantly (P=0.03) lower ADC ratio in tumor tissue (mean=1.28 +/- 0.39) compared to peritumoral tissue (mean=1.48 +/- 0.30), whereas the absolute ADC values did not differ significantly. In the logistic regression analysis, the lesion-to-brain ratio of the gadolinium (Gd)-enhanced T1-weighted sequence was the most valuable predictor of the presence of tumor tissue. The ADC value and ratio were not identified as significant predictors. CONCLUSION: The ADC is not helpful for distinguishing tumor tissue from peritumoral brain tissue in gliomas.
PURPOSE: To determine whether the apparent diffusion coefficient (ADC) can be used to distinguish between tumor tissue and peritumoral brain tissue in cerebral gliomas. MATERIALS AND METHODS: Twenty-two patients with 44 biopsies were enrolled in this study. ADC maps calculated from a diffusion-weighted (DW) multislice EPI sequence were coregistered with conventional MR images. Neuronavigated biopsies and intraoperative markers were used for correlation with the histologic specimens. ADC values and lesion-to-brain ratios of the different sequences were calculated and compared for tumor tissue and peritumoral brain tissue. A logistic regression analysis was performed to determine the diagnostic value of the ADC maps. RESULTS: The ADC values and ratios demonstrated a large overlap between tumor tissue and peritumoral tissue. Group comparisons revealed a significantly (P=0.03) lower ADC ratio in tumor tissue (mean=1.28 +/- 0.39) compared to peritumoral tissue (mean=1.48 +/- 0.30), whereas the absolute ADC values did not differ significantly. In the logistic regression analysis, the lesion-to-brain ratio of the gadolinium (Gd)-enhanced T1-weighted sequence was the most valuable predictor of the presence of tumor tissue. The ADC value and ratio were not identified as significant predictors. CONCLUSION: The ADC is not helpful for distinguishing tumor tissue from peritumoral brain tissue in gliomas.
Authors: Y Waerzeggers; R T Ullrich; P Monfared; T Viel; M Weckesser; W Stummer; O Schober; A Winkeler; A H Jacobs Journal: Br J Radiol Date: 2011-12 Impact factor: 3.039
Authors: Joachim M Baehring; Wenya Linda Bi; Serguei Bannykh; Joseph M Piepmeier; Robert K Fulbright Journal: J Neurooncol Date: 2006-10-07 Impact factor: 4.130
Authors: Andrea Horváth; Gábor Perlaki; Arnold Tóth; Gergely Orsi; Szilvia Nagy; Tamás Dóczi; Zsolt Horváth; Péter Bogner Journal: J Neurooncol Date: 2015-11-27 Impact factor: 4.130