scholarly journals Exploring Peritumoral Neural Tracts by Using Neurite Orientation Dispersion and Density Imaging

2021 ◽  
Vol 15 ◽  
Author(s):  
Shin Tai Chong ◽  
Xinrui Liu ◽  
Hung-Wen Kao ◽  
Chien-Yuan Eddy Lin ◽  
Chih-Chin Heather Hsu ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Volume Fraction ◽  
Diffusion Tensor ◽  
Vasogenic Edema ◽  
False Negative ◽  
Tumor Resection ◽  
Structural Heterogeneity ◽  
Peritumoral Edema ◽  
Negative Results ◽  
Dti Tractography

Diffusion Tensor Imaging (DTI) tractography has been widely used in brain tumor surgery to ensure thorough resection and minimize functional damage. However, due to enhanced anisotropic uncertainty in the area with peritumoral edema, diffusion tractography is generally not practicable leading to high false-negative results in neural tracking. In this study, we evaluated the usefulness of the neurite orientation dispersion and density imaging (NODDI) derived tractography for investigating structural heterogeneity of the brain in patients with brain tumor. A total of 24 patients with brain tumors, characterized by peritumoral edema, and 10 healthy counterparts were recruited from 2014 to 2021. All participants underwent magnetic resonance imaging. Moreover, we used the images obtained from the healthy participants for calibrating the orientation dispersion threshold for NODDI-derived corticospinal tract (CST) reconstruction. Compared to DTI, NODDI-derived tractography has a great potential to improve the reconstruction of fiber tracking through regions of vasogenic edema. The regions with edematous CST in NODDI-derived tractography demonstrated a significant decrease in the intracellular volume fraction (VFic, p < 0.000) and an increase in the isotropic volume fraction (VFiso, p < 0.014). Notably, the percentage of the involved volume of the concealed CST and lesion-to-tract distance could reflect the motor function of the patients. After the tumor resection, four patients with 1–5 years follow-up were showed subsidence of the vasogenic edema and normal CST on DTI tractography. NODDI-derived tractography revealed tracts within the edematous area and could assist neurosurgeons to locate the neural tracts that are otherwise not visualized by conventional DTI tractography.

scholarly journals A preliminary study of the clinical application of optic pathway diffusion tensor tractography in suprasellar tumor surgery: preoperative, intraoperative, and postoperative assessment

2016 ◽  
Vol 125 (3) ◽  
pp. 759-765 ◽  
Author(s):  
Mohamadreza Hajiabadi ◽  
Madjid Samii ◽  
Rudolf Fahlbusch
Keyword(s):  
Visual Acuity ◽  
Visual Field ◽  
Diffusion Tensor ◽  
Tumor Resection ◽  
Visual Pathway ◽  
Optic Chiasm ◽  
Control Group ◽  
Optic Pathway ◽  
Dti Tractography ◽  
Mass Lesions

OBJECT Visual impairments are the most common objective manifestations of suprasellar lesions. Diffusion tensor imaging (DTI) is a noninvasive MRI modality that depicts the subcortical white matter tracts in vivo. In this study the authors tested the value of visual pathway tractography in comparison with visual field and visual acuity analyses. METHODS This prospective study consisted of 25 patients with progressive visual impairment due to suprasellar mass lesions and 6 control patients with normal vision without such lesions. Visual acuity, visual field, and the optic fundus were examined preoperatively and repeated 1 week and 3 months after surgery. Visual pathway DTI tractography was performed preoperatively, intraoperatively immediately after tumor resection, and 1 week and 3 months after surgery. RESULTS In the control group, pre- and postoperative visual status were normal and visual pathway tractography revealed fibers crossing the optic chiasm without any alteration. In patients with suprasellar lesions, vision improved in 24 of 25. The mean distance between optic tracts in tractography decreased after tumor resection and detectable fibers crossing the optic chiasm increased from 12% preoperatively to 72% postoperatively 3 months after tumor resection, and undetectable fibers crossing the optic chiasm decreased from 88% preoperatively to 27% postoperatively 3 months after tumor resection. Visual improvement after tumor removal 1 week and 3 months after surgery was significantly correlated with the distance between optic tracts in intraoperative tractography (p < 0.01). CONCLUSIONS Visual pathway DTI tractography appears to be a promising adjunct to the standard clinical and paraclinical visual examinations in patients with suprasellar mass lesions. The intraoperative findings, in particular the distance between optic tract fibers, can predict visual outcome after tumor resection. Furthermore, postoperative application of this technique may be useful in following anterior optic pathway recovery.

scholarly journals Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Abdelmajid Bousselham ◽  
Omar Bouattane ◽  
Mohamed Youssfi ◽  
Abdelhadi Raihani
Keyword(s):  
Brain Tumor ◽  
Level Set ◽  
False Negative ◽  
Ground Truth ◽  
Tumor Segmentation ◽  
Normal Brain ◽  
Bioheat Equation ◽  
Brain Tumor Segmentation ◽  
Temperature Changes ◽  
Negative Results

Brain tumor segmentation is the process of separating the tumor from normal brain tissues; in clinical routine, it provides useful information for diagnosis and treatment planning. However, it is still a challenging task due to the irregular form and confusing boundaries of tumors. Tumor cells thermally represent a heat source; their temperature is high compared to normal brain cells. The main aim of the present paper is to demonstrate that thermal information of brain tumors can be used to reduce false positive and false negative results of segmentation performed in MRI images. Pennes bioheat equation was solved numerically using the finite difference method to simulate the temperature distribution in the brain; Gaussian noises of ±2% were added to the simulated temperatures. Canny edge detector was used to detect tumor contours from the calculated thermal map, as the calculated temperature showed a large gradient in tumor contours. The proposed method is compared to Chan–Vese based level set segmentation method applied to T1 contrast-enhanced and Flair MRI images of brains containing tumors with ground truth. The method is tested in four different phantom patients by considering different tumor volumes and locations and 50 synthetic patients taken from BRATS 2012 and BRATS 2013. The obtained results in all patients showed significant improvement using the proposed method compared to segmentation by level set method with an average of 0.8% of the tumor area and 2.48% of healthy tissue was differentiated using thermal images only. We conclude that tumor contours delineation based on tumor temperature changes can be exploited to reinforce and enhance segmentation algorithms in MRI diagnostic.

Differences Between Generalized Q-Sampling Imaging and Diffusion Tensor Imaging in the Preoperative Visualization of the Nerve Fiber Tracts Within Peritumoral Edema in Brain

Neurosurgery ◽  
2013 ◽  
Vol 73 (6) ◽  
pp. 1044-1053 ◽  
Author(s):  
Hongliang Zhang ◽  
Yong Wang ◽  
Tao Lu ◽  
Bo Qiu ◽  
Yanqing Tang ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Nerve Fibers ◽  
Normal Brain ◽  
Peritumoral Edema ◽  
Fiber Tracts ◽  
Cerebral Tumors ◽  
Preoperative Mapping ◽  
Neurosurgical Planning ◽  
Dti Tractography

Abstract BACKGROUND: Diffusion tensor imaging (DTI) tractography enables the in vivo visualization of white matter tracts inside normal brain tissue, which provides the neurosurgeon important information to plan tumor resections. However, DTI is associated with restrictions in the resolution of crossing fibers in the vicinity of the tumor or in edema. We find that generalized q-sampling imaging (GQI) can overcome these difficulties and is advantageous over DTI for the tractography of the fiber bundle in peritumoral edema. OBJECTIVE: To demonstrate the differences between GQI and DTI in the preoperative mapping of fiber tractography in peritumoral edema of cerebral tumors, and discuss the clinical application of GQI in neurosurgical planning. METHODS: Five patients with brain tumors underwent 3-T magnetic resonance imaging scans, and the data were reconstructed by DTI and GQI. We adjusted the parameters and compared the differences between DTI and GQI in visualizing the fiber tracts in the peritumoral edema of cerebral tumors. RESULTS: GQI and DTI showed substantial differences in displaying the nerve fibers in the edema surrounding the tumor. The GQI tractography method could fully display existing intact fibers in the edema, whereas the fiber tracts in edema displayed by DTI tractography were incomplete, missing, or ruptured. CONCLUSION: GQI can visualize the tracts in the peritumoral edema of cerebral tumors better than DTI. Although GQI has many limitations, its future in the preoperative guidance of brain tumor lesions is promising.

scholarly journals Subcortical anatomy as an anatomical and functional landmark in insulo-opercular gliomas: implications for surgical approach to the insular region

2015 ◽  
Vol 123 (4) ◽  
pp. 1081-1092 ◽  
Author(s):  
Juan Martino ◽  
David Mato ◽  
Enrique Marco de Lucas ◽  
Juan A. García-Porrero ◽  
Andreu Gabarrós ◽  
...  
Keyword(s):  
Lateral Surface ◽  
Diffusion Tensor ◽  
Tumor Resection ◽  
Extent Of Resection ◽  
Uncinate Fasciculus ◽  
Normal Anatomy ◽  
Grade Ii ◽  
Dti Tractography ◽  
Potential Damage ◽  
Insular Region

OBJECT Little attention has been given to the functional challenges of the insular approach to the resection of gliomas, despite the potential damage of essential neural networks that underlie the insula. The object of this study is to analyze the subcortical anatomy of the insular region when infiltrated by gliomas, and compare it with the normal anatomy in nontumoral hemispheres. METHODS Ten postmortem human hemispheres were dissected, with isolation of the inferior fronto-occipital fasciculus (IFOF) and the uncinate fasciculus. Probabilistic diffusion tensor imaging (DTI) tractography was used to analyze the subcortical anatomy of the insular region in 10 healthy volunteers and in 22 patients with insular Grade II and Grade III gliomas. The subcortical anatomy of the insular region in these 22 insular gliomas was compared with the normal anatomy in 20 nontumoral hemispheres. RESULTS In tumoral hemispheres, the distances between the peri-insular sulci and the lateral surface of the IFOF and uncinate fasciculus were enlarged (p < 0.05). Also in tumoral hemispheres, the IFOF was identified in 10 (90.9%) of 11 patients with an extent of resection less than 80%, and in 4 (36.4%) of 11 patients with an extent of resection equal to or greater than 80% (multivariate analysis: p = 0.03). CONCLUSIONS Insular gliomas grow in the space between the lateral surface of the IFOF and uncinate fasciculus and the insular surface, displacing and compressing the tracts medially. Moreover, these tracts may be completely infiltrated by the tumor, with a total disruption of the bundles. In the current study, the identification of the IFOF with DTI tractography was significantly associated with the extent of tumor resection. If the IFOF is not identified preoperatively, there is a high probability of achieving a resection greater than 80%.

scholarly journals SURG-02A SIMPLIFIED METHOD OF ACCURATE POST-PROCESSING OF DIFFUSION TENSOR IMAGING FOR USE IN BRAIN TUMOR RESECTION

2015 ◽  
Vol 17 (suppl 5) ◽  
pp. v214.2-v214
Author(s):  
Phillip Bonney ◽  
Lillian Boettcher ◽  
Nathan Pittman ◽  
Andrew Conner ◽  
Michael Sughrue
Keyword(s):  
Brain Tumor ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Tumor Resection ◽  
Post Processing ◽  
Simplified Method ◽  
Brain Tumor Resection

Pre- and Intraoperative Tractographic Evaluation of Corticospinal Tract Shift

Neurosurgery ◽  
2011 ◽  
Vol 69 (3) ◽  
pp. 696-705 ◽  
Author(s):  
Andrea Romano ◽  
Giancarlo D'Andrea ◽  
Luigi Fausto Calabria ◽  
Valeria Coppola ◽  
Camilla Rossi Espagnet ◽  
...  
Keyword(s):  
Corticospinal Tract ◽  
Diffusion Tensor ◽  
Tumor Resection ◽  
Brain Lesions ◽  
Peritumoral Edema ◽  
Brain Shift ◽  
Neuronavigation System ◽  
Dural Opening ◽  
Glioma Resection ◽  
The Brain

Abstract BACKGROUND: Magnetic resonance with diffusion tensor image (DTI) may be able to estimate trajectories compatible with subcortical tracts close to brain lesions. A limit of DTI is brain shifting (movement of the brain after dural opening and tumor resection). OBJECTIVE: To calculate the brain shift of trajectories compatible with the corticospinal tract (CST) in patients undergoing glioma resection and predict the shift directions of CST. METHODS: DTI was acquired in 20 patients and carried out through 12 noncollinear directions. Dedicated software “merged” all sequences acquired with tractographic processing and the whole dataset was sent to the neuronavigation system. Preoperative, after dural opening (in 11) and tumor resection (in all) DTI acquisitions were performed to evaluate CST shifting. The extent of shifting was considered as the maximum distance between the preoperative and intraoperative contours of the trajectories. RESULTS: An outward shift of CST was observed in 8 patients and an inward shift in 10 patients during surgery. In the remaining 2 patients, no intraoperative displacement was detected. Only peritumoral edema showed a statistically significant correlation with the amount of shift. In those patients in which DTI was acquired after dural opening as well (11 patients), an outward shifting of CST was evident in that phase. CONCLUSION: The use of intraoperative DTI demonstrated brain shifting of the CST. DTI evaluation of white matter tracts can be used during surgical procedures only if updated with intraoperative acquisitions.

Correlation between language function and the left arcuate fasciculus detected by diffusion tensor imaging tractography after brain tumor surgery

2012 ◽  
Vol 117 (5) ◽  
pp. 839-843 ◽  
Author(s):  
Yutaka Hayashi ◽  
Masashi Kinoshita ◽  
Mitsutoshi Nakada ◽  
Jun-ichiro Hamada
Keyword(s):  
Brain Tumor ◽  
Diffusion Tensor ◽  
Tumor Surgery ◽  
Language Function ◽  
Arcuate Fasciculus ◽  
Brain Tumor Surgery ◽  
Language Functions ◽  
Postoperative Changes ◽  
Dti Tractography

Object Disturbance of the arcuate fasciculus in the dominant hemisphere is thought to be associated with language-processing disorders, including conduction aphasia. Although the arcuate fasciculus can be visualized in vivo with diffusion tensor imaging (DTI) tractography, its involvement in functional processes associated with language has not been shown dynamically using DTI tractography. In the present study, to clarify the participation of the arcuate fasciculus in language functions, postoperative changes in the arcuate fasciculus detected by DTI tractography were evaluated chronologically in relation to postoperative changes in language function after brain tumor surgery. Methods Preoperative and postoperative arcuate fasciculus area and language function were examined in 7 right-handed patients with a brain tumor in the left hemisphere located in proximity to part of the arcuate fasciculus. The arcuate fasciculus was depicted, and its area was calculated using DTI tractography. Language functions were measured using the Western Aphasia Battery (WAB). Results After tumor resection, visualization of the arcuate fasciculus was increased in 5 of the 7 patients, and the total WAB score improved in 6 of the 7 patients. The relative ratio of postoperative visualized area of the arcuate fasciculus to preoperative visualized area of the arcuate fasciculus was increased in association with an improvement in postoperative language function (p = 0.0039). Conclusions The role of the left arcuate fasciculus in language functions can be evaluated chronologically in vivo by DTI tractography after brain tumor surgery. Because increased postoperative visualization of the fasciculus was significantly associated with postoperative improvement in language functions, the arcuate fasciculus may play an important role in language function, as previously thought. In addition, postoperative changes in the arcuate fasciculus detected by DTI tractography could represent a predicting factor for postoperative language-dependent functional outcomes in patients with brain tumor.

scholarly journals Differentiation of Edematous, Tumoral and Normal Areas of Brain Using Diffusion Tensor and Neurite Orientation Dispersion and Density Imaging

2018 ◽  
Author(s):  
S Masjoodi ◽  
H Hashemi ◽  
M A Oghabian ◽  
G Sharifi
Keyword(s):  
Mathematical Model ◽  
Volume Fraction ◽  
Diffusion Tensor ◽  
Diffusion Imaging ◽  
Tumor Resection ◽  
Mean Diffusivity ◽  
Normal Brain ◽  
Brain White Matter ◽  
Contralateral Normal Brain ◽  
Watson Distribution

Background: Presurigical planning for glioma tumor resection and radiotherapy treatment require proper delineation of tumoral and peritumoral areas of brain. Diffusion tensor imaging (DTI) is the most common mathematical model applied for diffusion weighted MRI data. Neurite orientation dispersion and density imaging (NODDI) is another mathematical model for DWI data modeling.Objective: We studied whether extracted parameters of DTI, and NODDI models can be used to differentiate between edematous, tumoral, and normal areas in brain white matter (WM).Material and Methods: 12 patients with peritumoral edema underwent 3T multi-shell diffusion imaging with b-values of 1000 and 2000 smm-2 in 30 and 64 gradient directions, respectively. We fitted DTI and NODDI to data in manually drawn regions of interest and used their derived parameters to characterize edematous, tumoral and normal brain areas.Results: We found that DTI parameters fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) all significantly differentiated edematous from contralateral normal brain WM (p<0.005). However, only FA was found to distinguish between edematous WM fibers and tumor invaded fibers (p = 0.001). Among NODDI parameters, the intracellular volume fraction (ficvf) had the best distinguishing power with (p = 0.001) compared with the isotropic volume fraction (fiso), the orientation dispersion index (odi), and the concentration parameter of Watson distribution (κ), while comparing fibers inside normal, tumoral, and edematous areas.Conclusion: The combination of two diffusion based methods, i.e. DTI and NODDI parameters can distinguish and characterize WM fibers involved in edematus, tumoral, and normal brain areas with reasonable confidence. Further studies will be required to improve the detectability of WM fibers inside the solid tumor if they hypothetically exist in tumoral parenchyma.

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