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Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T
Authors:Doskaliyev Aidos  Yamasaki Fumiyuki  Ohtaki Megu  Kajiwara Yoshinori  Takeshima Yukio  Watanabe Yosuke  Takayasu Takeshi  Amatya Vishwa Jeet  Akiyama Yuji  Sugiyama Kazuhiko  Kurisu Kaoru
Affiliation:Department of Neurosurgery, Graduate School of Biomedical Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Abstract:

Background and purpose

As the usefulness of the apparent diffusion coefficient (ADC) obtained from diffusion-weighted images (DWI) for the differential diagnosis between glioblastoma and primary central nervous system lymphoma is controversial, we assessed whether high b-value DWI at b 4000 s/mm2 could discriminate between glioblastoma and lymphoma. We also compared the power of high- and standard b-value (b-4000, b-1000) imaging on a 3-Tesla (3 T) magnetic resonance (MR) instrument.

Materials and methods

This study was approved by our Institutional Review Board. We acquired DWI at 3 T with b = 1000 and b = 4000 s/mm2 in 10 patients with lymphoma and 14 patients with glioblastoma. The ADC was measured by placing multiple regions of interest (ROI) on ADC maps of the site of enhanced lesions on contrast-enhanced T1-weighted MR images. We avoided hemorrhagic and cystic lesions by using T1-, T2-, FLAIR-, and T2* MR images. The ADC values of each tumor were determined preoperatively from several ROI and expressed as the minimum-, mean-, and maximum ADC value (ADCMIN, ADCMEAN, ADCMAX). We evaluated the relationship between ADCs and histological information including tumor cellularity.

Results

All ADC values were statistically associated with tumor cellularity. ADCMIN at b-4000 was associated with tumor cellularity more significantly than ADCMIN at b-1000. All ADC values were lower for lymphoma than glioblastoma and the statistical difference was larger at b = 4000- than b = 1000 s/mm2. According to the results of discriminant analysis, the log likelihood was greatest for ADCMIN at b = 4000. At a cut-off value of ADCMIN = 0.500 × 10−3 mm2/s at b-4000 it was possible to differentiate between lymphoma and glioblastoma (sensitivity 90.9%, specificity 91.7%).

Conclusions

Calculating the ADC value is useful for distinguishing lymphoma from glioblastoma. The lowest degree of overlapping and a better inverse correspondence with tumor cellularity were obtained with ADCMIN at b-4000 s/mm2 at 3 T MRI.
Keywords:MR, magnetic resonance   ADC, apparent diffusion coefficient   ADCMIN, minimum absolute values of apparent diffusion coefficient   ADCMEAN, mean absolute values of apparent diffusion coefficient   ADCMAX, maximum absolute values of apparent diffusion coefficient   DWI, diffusion-weighted images   CNS, central nervous system   b-1000, b 1000 s/mm2, standard b value   b-4000, b 4000 s/mm2, high b value   3 T, 3-Tesla   FLAIR, fluid-attenuated inversion recovery   ROI, region of interest   TR, repetition time   TE, echo time   FOV, field of view
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