Cell invasion, motility, and proliferation level estimate (CIMPLE) maps derived from serial diffusion MR images in recurrent glioblastoma treated with bevacizumab

2011 ◽  
Vol 105 (1) ◽  
pp. 91-101 ◽  
Author(s):  
Benjamin M. Ellingson ◽  
Timothy F. Cloughesy ◽  
Albert Lai ◽  
Phioanh L. Nghiemphu ◽  
Whitney B. Pope
Keyword(s):  
Cell Invasion ◽  
Recurrent Glioblastoma ◽  
Mr Images ◽  
Diffusion Mr ◽  
Cimple Maps

Segmentation of Prostate in Diffusion MR Images via Clustering

2017 ◽  
pp. 471-478 ◽  
Author(s):  
Junjie Zhang ◽  
Sameer Baig ◽  
Alexander Wong ◽  
Masoom A. Haider ◽  
Farzad Khalvati
Keyword(s):  
Mr Images ◽  
Diffusion Mr

scholarly journals Diffusion Magnetic Resonance Imaging Phenotypes Predict Overall Survival Benefit From Bevacizumab or Surgery in Recurrent Glioblastoma With Large Tumor Burden

Neurosurgery ◽  
2020 ◽  
Vol 87 (5) ◽  
pp. 931-938 ◽  
Author(s):  
Kunal S Patel ◽  
Richard G Everson ◽  
Jingwen Yao ◽  
Catalina Raymond ◽  
Jodi Goldman ◽  
...  
Keyword(s):  
Overall Survival ◽  
Magnetic Resonance ◽  
Large Volume ◽  
Survival Benefit ◽  
Tumor Burden ◽  
Recurrent Glioblastoma ◽  
Large Tumor ◽  
Diffusion Mr ◽  
Large Tumor Burden ◽  
Mr Characteristics

Abstract Background Diffusion magnetic resonance (MR) characteristics are a predictive imaging biomarker for survival benefit in recurrent glioblastoma treated with anti-vascular endothelial growth factor (VEGF) therapy; however, its use in large volume recurrence has not been evaluated. Objective To determine if diffusion MR characteristics can predict survival outcomes in patients with large volume recurrent glioblastoma treated with bevacizumab or repeat resection. Methods A total of 32 patients with large volume (>20 cc or > 3.4 cm diameter) recurrent glioblastoma treated with bevacizumab and 35 patients treated with repeat surgery were included. Pretreatment tumor volume and apparent diffusion coefficient (ADC) histogram analysis were used to phenotype patients as having high (>1.24 μm2/ms) or low (<1.24 μm2/ms) ADCL, the mean value of the lower peak in a double Gaussian model of the ADC histogram within the contrast enhancing tumor. Results In bevacizumab and surgical cohorts, volume was correlated with overall survival (Bevacizumab: P = .009, HR = 1.02; Surgical: P = .006, HR = 0.96). ADCL was an independent predictor of survival in the bevacizumab cohort (P = .049, HR = 0.44), but not the surgical cohort (P = .273, HR = 0.67). There was a survival advantage of surgery over bevacizumab in patients with low ADCL (P = .036, HR = 0.43) but not in patients with high ADCL (P = .284, HR = 0.69). Conclusion Pretreatment diffusion MR imaging is an independent predictive biomarker for overall survival in recurrent glioblastoma with a large tumor burden. Large tumors with low ADCL have a survival benefit when treated with surgical resection, whereas large tumors with high ADCL may be best managed with bevacizumab.

scholarly journals Application of contrast-enhanced T1-weighted MRI-based 3D reconstruction of the dural tail sign in meningioma resection

2016 ◽  
Vol 125 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Binsheng You ◽  
Yanhao Cheng ◽  
Jian Zhang ◽  
Qimin Song ◽  
Chao Dai ◽  
...  
Keyword(s):  
Tumor Cell ◽  
3D Reconstruction ◽  
Cell Invasion ◽  
Tumor Cell Invasion ◽  
Pathological Examination ◽  
Mr Images ◽  
3D Images ◽  
Dural Tail Sign ◽  
Contrast Enhanced ◽  
Dural Tail

OBJECT The goal of this study was to investigate the significance of contrast-enhanced T1-weighted (T1W) MRI-based 3D reconstruction of dural tail sign (DTS) in meningioma resection. METHODS Between May 2013 and August 2014, 18 cases of convexity and parasagittal meningiomas showing DTS on contrast-enhanced T1W MRI were selected. Contrast-enhanced T1W MRI-based 3D reconstruction of DTS was conducted before surgical treatment. The vertical and anteroposterior diameters of DTS on the contrast-enhanced T1W MR images and 3D reconstruction images were measured and compared. Surgical incisions were designed by referring to the 3D reconstruction and MR images, and then the efficiency of the 2 methods was evaluated with assistance of neuronavigation. RESULTS Three-dimensional reconstruction of DTS can reveal its overall picture. In most cases, the DTS around the tumor is uneven, whereas the DTS around the dural vessels presents longer extensions. There was no significant difference (p > 0.05) between the vertical and anteroposterior diameters of DTS measured on the contrast-enhanced T1W MR and 3D reconstruction images. The 3D images of DTS were more intuitive, and the overall picture of DTS could be revealed in 1 image, which made it easier to design the incision than by using the MR images. Meanwhile, assessment showed that the incisions designed using 3D images were more accurate than those designed using MR images (ridit analysis by SAS, F = 7.95; p = 0.008). Pathological examination showed that 34 dural specimens (except 2 specimens from 1 tumor) displayed tumor invasion. The distance of tumor cell invasion was 1.0–21.6 mm (5.4 ± 4.41 mm [mean ± SD]). Tumor cell invasion was not observed at the dural resection margin in all 36 specimens. CONCLUSIONS Contrast-enhanced T1W MRI-based 3D reconstruction can intuitively and accurately reveal the size and shape of DTS, and thus provides guidance for designing meningioma incisions.

scholarly journals Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement

NeuroImage ◽  
2017 ◽  
Vol 152 ◽  
pp. 450-466 ◽  
Author(s):  
Jesper L.R. Andersson ◽  
Mark S. Graham ◽  
Ivana Drobnjak ◽  
Hui Zhang ◽  
Nicola Filippini ◽  
...  
Keyword(s):  
Distortion Correction ◽  
Mr Images ◽  
Diffusion Mr ◽  
Comprehensive Framework

scholarly journals Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers

2021 ◽  
Author(s):  
Nabil Ettehadi ◽  
Xuzhe Zhang ◽  
Yun Wang ◽  
David Semanek ◽  
Jia Guo ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Quality Assessment ◽  
Mr Images ◽  
Diffusion Mr ◽  
Neural Network Classifiers

scholarly journals Surface-driven registration method for the structure-informed segmentation of diffusion MR images

NeuroImage ◽  
2016 ◽  
Vol 139 ◽  
pp. 450-461 ◽  
Author(s):  
Oscar Esteban ◽  
Dominique Zosso ◽  
Alessandro Daducci ◽  
Meritxell Bach-Cuadra ◽  
María J. Ledesma-Carbayo ◽  
...  
Keyword(s):  
Mr Images ◽  
Registration Method ◽  
Diffusion Mr

A level set-based framework for 3D kidney segmentation from diffusion MR images

2015 ◽  
Author(s):  
Mohamed Shehata ◽  
Fahmi Khalifa ◽  
Ahmed Soliman ◽  
Rahaf Alrefai ◽  
Mohamed Abou El-Ghar ◽  
...  
Keyword(s):  
Level Set ◽  
Mr Images ◽  
Diffusion Mr ◽  
Kidney Segmentation

scholarly journals Nonlinear distortion correction of diffusion MR images improves quantitative DTI measurements in glioblastoma

2013 ◽  
Vol 116 (3) ◽  
pp. 551-558 ◽  
Author(s):  
Davis C. Woodworth ◽  
Whitney B. Pope ◽  
Linda M. Liau ◽  
Hyun J. Kim ◽  
Albert Lai ◽  
...  
Keyword(s):  
Nonlinear Distortion ◽  
Distortion Correction ◽  
Mr Images ◽  
Diffusion Mr

scholarly journals Automatic segmentation of rodent spinal cord diffusion MR images

2010 ◽  
Vol 64 (3) ◽  
pp. 893-901 ◽  
Author(s):  
Vanessa K. Tidwell ◽  
Joong H. Kim ◽  
Sheng-Kwei Song ◽  
Arye Nehorai
Keyword(s):  
Spinal Cord ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Diffusion Mr
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