Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma

2016 ◽  
Vol 44 (2) ◽  
pp. 445-455 ◽  
Author(s):  
Jia Liu ◽  
Yu Mao ◽  
Zhenjiang Li ◽  
Dakai Zhang ◽  
Zicheng Zhang ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Treatment Response ◽  
Texture Analysis ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Predict Treatment Response ◽  
Contrast Enhanced Mri

Intergrating conventional MRI, texture analysis of dynamic contrast-enhanced MRI, and susceptibility weighted imaging for glioma grading

2018 ◽  
Vol 60 (6) ◽  
pp. 777-787 ◽  
Author(s):  
Chun-Qiu Su ◽  
Shan-Shan Lu ◽  
Qiu-Yue Han ◽  
Mao-Dong Zhou ◽  
Xun-Ning Hong
Keyword(s):  
Texture Analysis ◽  
Susceptibility Weighted Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Conventional Mri ◽  
Enhanced Mri ◽  
Glioma Grading ◽  
Contrast Enhanced ◽  
Contrast Enhanced Mri

Background The application of conventional magnetic resonance imaging (MRI) in glioma grading is limited and non-specific. Purpose To investigate the application values of MRI, texture analysis (TA) of dynamic contrast-enhanced MRI (DCE-MRI) and intratumoral susceptibility signal (ITSS) on susceptibility weighted imaging (SWI), alone and in combination, for glioma grading. Material and Methods Fifty-two patients with pathologically confirmed gliomas who underwent DCE-MRI and SWI were enrolled in this retrospective study. Conventional MRIs were evaluated by the VASARI scoring system. TA of DCE-MRI-derived parameters and the degree of ITSS were compared between low-grade gliomas (LGGs) and high-grade gliomas (HGGs). The diagnostic ability of each parameter and their combination for glioma grading were analyzed. Results Significant statistical differences in VASARI features were observed between LGGs and HGGs ( P < 0.05), of which the enhancement quality had the highest area under the curve (AUC) (0.873) with 93.3% sensitivity and 80% specificity. The TA of DCE-MRI derived parameters were significantly different between LGGs and HGGs ( P < 0.05), of which the uniformity of Ktrans had the highest AUC (0.917) with 93.3% sensitivity and 90% specificity. The degree of ITSS was significantly different between LGGs and HGGs ( P < 0.001). The AUC of the ITSS was 0.925 with 93.3% sensitivity and 90% specificity. The best discriminative power was obtained from a combination of enhancement quality, Ktrans- uniformity, and ITSS, resulting in 96.7% sensitivity, 100.0% specificity, and AUC of 0.993. Conclusion Combining conventional MRI, TA of DCE-MRI, and ITSS on SWI may help to improve the differentiation between LGGs and HGGs.

scholarly journals Assessment of the effect of therapy in a rat model of glioblastoma using [18F]FDG and [18F]FCho PET compared to contrast-enhanced MRI

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248193
Author(s):  
Julie Bolcaen ◽  
Benedicte Descamps ◽  
Karel Deblaere ◽  
Filip De Vos ◽  
Tom Boterberg ◽  
...  
Keyword(s):  
Treatment Response ◽  
Treatment Effect ◽  
Fdg Pet ◽  
Standard Uptake Value ◽  
Metabolic Tumor Volume ◽  
Tracer Uptake ◽  
Post Treatment ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Contrast Enhanced Mri

Objective We investigated the potential of [18F]fluorodeoxyglucose ([18F]FDG) and [18F]Fluoromethylcholine ([18F]FCho) PET, compared to contrast-enhanced MRI, for the early detection of treatment response in F98 glioblastoma (GB) rats. Methods When GB was confirmed on T2- and contrast-enhanced T1-weighted MRI, animals were randomized into a treatment group (n = 5) receiving MRI-guided 3D conformal arc micro-irradiation (20 Gy) with concomitant temozolomide, and a sham group (n = 5). Effect of treatment was evaluated by MRI and [18F]FDG PET on day 2, 5, 9 and 12 post-treatment and [18F]FCho PET on day 1, 6, 8 and 13 post-treatment. The metabolic tumor volume (MTV) was calculated using a semi-automatic thresholding method and the average tracer uptake within the MTV was converted to a standard uptake value (SUV). Results To detect treatment response, we found that for [18F]FDG PET (SUVmean x MTV) is superior to MTV only. Using (SUVmean x MTV), [18F]FDG PET detects treatment effect starting as soon as day 5 post-therapy, comparable to contrast-enhanced MRI. Importantly, [18F]FDG PET at delayed time intervals (240 min p.i.) was able to detect the treatment effect earlier, starting at day 2 post-irradiation. No significant differences were found at any time point for both the MTV and (SUVmean x MTV) of [18F]FCho PET. Conclusions Both MRI and particularly delayed [18F]FDG PET were able to detect early treatment responses in GB rats, whereas, in this study this was not possible using [18F]FCho PET. Further comparative studies should corroborate these results and should also include (different) amino acid PET tracers.

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