scholarly journals An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Minji Bang ◽  
Jihwan Eom ◽  
Chansik An ◽  
Sooyon Kim ◽  
Yae Won Park ◽  
...  
Keyword(s):  
Corpus Callosum ◽  
Diffusion Tensor ◽  
Area Under The Curve ◽  
Bayesian Optimization ◽  
Diagnostic Model ◽  
Clinical Probability ◽  
Apparent Diffusion ◽  
Diffusion Tensor Images ◽  
Online Calculator ◽  
Neuroimaging Biomarkers

AbstractThere is a growing need to develop novel strategies for the diagnosis of schizophrenia using neuroimaging biomarkers. We investigated the robustness of the diagnostic model for schizophrenia using radiomic features from T1-weighted and diffusion tensor images of the corpus callosum (CC). A total of 165 participants [86 schizophrenia and 79 healthy controls (HCs)] were allocated to training (N = 115) and test (N = 50) sets. Radiomic features of the CC subregions were extracted from T1-weighted, apparent diffusion coefficient (ADC), and fractional anisotropy (FA) images (N = 1605). Following feature selection, various combinations of classifiers were trained, and Bayesian optimization was adopted in the best performing classifier. Discrimination, calibration, and clinical utility of the model were assessed. An online calculator was constructed to offer the probability of having schizophrenia. SHapley Additive exPlanations (SHAP) was applied to explore the interpretability of the model. We identified 30 radiomic features to differentiate participants with schizophrenia from HCs. The Bayesian optimized model achieved the highest performance, with an area under the curve (AUC), accuracy, sensitivity, and specificity of 0.89 (95% confidence interval: 0.81–0.98), 80.0, 83.3, and 76.9%, respectively, in the test set. The final model offers clinical probability in an online calculator. The model explanation by SHAP suggested that second-order features from the posterior CC were highly associated with the risk of schizophrenia. The multiparametric radiomics model focusing on the CC shows its robustness for the diagnosis of schizophrenia. Radiomic features could be a potential source of biomarkers that support the biomarker-based diagnosis of schizophrenia and improve the understanding of its neurobiology.

Anatomical location of transcallosal sensorimotor fibers in the human brain: Diffusion tensor tractography study

2013 ◽  
Vol 4 (3) ◽  
Author(s):  
Jung Seo ◽  
Sung Jang
Keyword(s):  
Corpus Callosum ◽  
Human Brain ◽  
Primary Motor Cortex ◽  
Diffusion Tensor ◽  
Premotor Cortex ◽  
Diffusion Tensor Tractography ◽  
Sensory Function ◽  
Anatomical Location ◽  
Diffusion Tensor Images ◽  
Probabilistic Location

AbstractMany diffusion tensor tractography (DTT) studies have reported on the topography of transcallosal fibers (TCF). However, little detailed anatomical information on TCF that can be easily applied for clinical purposes is known. Using probabilistic DTT, we attempted to determine the anatomical location of the TCF for motor and sensory function in the human brain. A total of 51 healthy subjects were recruited for this study. Diffusion tensor images (DTIs) were obtained at 1.5 T, and four TCF for the premotor cortex (PMC), the primary motor cortex (M1) for hand and leg, and the primary somatosensory cortex (S1) were obtained using FMRIB software. Locations of the TCF were defined as the highest probabilistic location on the midsagittal slice of the corpus callosum. We measured distances between the most anterior and posterior points of the corpus callosum. The relative mean distances of the highest probabilistic location for the precentral knob PMC (Brodmann area 6 anterior to the precentral knob), hand M1, leg M1, and precentral knob S1 (postcentral gyrus posterior to the precentral knob) TCF were 48.99%, 59.78%, 67.93%, and 73,48% from the most anterior point of the CC, respectively. According to our findings, the precentral knob PMC, hand M1, leg M1, and precentral knob S1 TCF were located at the anterior body, posterior body, posterior body, and isthmus according to Witelson’s classification, respectively.

Tuberculoma – a great mimicker: can diffusion tensor imaging and tractography help?

2021 ◽  
pp. 028418512110636
Author(s):  
Beenish Khan ◽  
Rashmi Dixit ◽  
Anjali Prakash ◽  
Sunita Aggarwal
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Molecular Diffusion ◽  
Diffusion Tensor ◽  
Brain Parenchyma ◽  
Magnetic Resonance Scanner ◽  
Apparent Diffusion ◽  
Diffusion Tensor Images ◽  
Adc Values ◽  
Diffusion Tensor Imaging Dti

Background Central nervous system (CNS) tuberculomas often mimic tumors on conventional imaging, differentiation of which may not be possible without invasive tissue sampling. Diffusion tensor imaging (DTI), owing to its unrivalled property of characterizing molecular diffusion, may help in better lesion characterization and tractography may help understand the pattern of white matter involvement by tuberculomas. Purpose To estimate qualitative and quantitative diffusion tensor changes in brain tuberculomas and to evaluate patterns of white matter involvement using 3D tractography. Material and Methods Thirty patients with brain tuberculomas were evaluated on a 3-T magnetic resonance scanner. Diffusion tensor images were acquired along 20 non-colinear encoding directions with two b-values (b = 0, b = 1000). Regions of interest (ROIs) were drawn on quantitative fractional anisotropy (FA) and apparent diffusion coefficient (ADC) maps in the center of the tuberculoma and perilesional area. Similar ROIs were placed in contralateral hemispheres for comparison. Tractography maps were also generated. Results Mean FA in the center and perilesional area of tuberculomas were 0.098 ± 0.041 and 0.311 ± 0.135, respectively. ADC values in corresponding regions were 0.920 ± 0.272 ×10−3 mm2/s and 1.157 ± 0.277 ×10−3 mm2/s. These values were significantly different compared to contralateral similar brain parenchyma. Tractography revealed interruption of white fibers in the center with deviation of fibers at the periphery in the majority of tuberculomas with none showing infiltration of white matter described in tumors. Conclusion Significant qualitative as well as quantitative DTI changes were seen in tuberculoma and perilesional areas compared to contralateral hemisphere with tractography showing a pattern different from that described in tumors. These findings may help to differentiate tuberculomas from infiltrating tumors.

CEREBRAL DIFFUSION TENSOR IMAGES IN INFANTS AND NEONATES WITH INFANTILE ONSET POMPE DISEASE

2011 ◽  
Vol 23 (03) ◽  
pp. 205-213
Author(s):  
Steven Shinn-Forng Peng ◽  
Yin-Hsiu Chien ◽  
Wuh-Liang Hwu ◽  
Hon-Man Liu ◽  
Issac Wen-Yih Tseng
Keyword(s):  
Corpus Callosum ◽  
Pompe Disease ◽  
Diffusion Tensor ◽  
Control Group ◽  
Enzyme Replacement ◽  
Exogenous Enzyme ◽  
Diffusion Tensor Images ◽  
Group A ◽  
Group B ◽  
The Right

Background: Exogenous enzyme cannot cross the blood brain barrier to eliminate accumulated glycogen and brain involvement by Pompe disease is worth of attention before starting enzyme-replacement therapy. Material And Methods: Before treatment, we recruited 10 infantile-onset Pompe patients and divided them into 2 groups. Group A (n = 6) had truncal hypotonia, while group B (n = 4) did not. The control group included another 10 age-matched subjects. The maps of first (EV1), second (EV2), and third eigenvalues (EV3), trace apparent diffusion coefficient, and fractional anisotropy (FA) were generated. We compared regions of interest in the right cerebellar peduncle, central pons, posterior limb of the right internal capsule, right thalamus, right superior corona radiata near the level of the lateral ventricular bodies, and genu and splenium of the corpus callosum between the Pompe patients and control subjects. Results: On diffusion tensor images (DTIs), we found increased EV3 at the central pons (0.570 ± 0.116 versus 0.434 ± 0.154, p = 0.03) and genu of the corpus callosum (0.707 ± 0.181 versus. 0.447 ± 0.184, p = 0.03) in group A, but not in group B, as compared with age-matched controls. EV2 (0.961 ± 0.241 versus. 0.755 ± 0.138, p = 0.04) increased significantly but FA (0.485 ± 0.125 versus. 0.716 ± 0.121, p = 0.03) decreased significantly at the splenium of the corpus callosum of group A patients both not in group B. Conclusion: In our Pompe patients younger than nine months, DTIs could not disclose significant changes of diffusion indices at the supratentorial white matters in group B patients without truncal hypotonia. Further progressive hypomyelination of supertentorial white matter may be prevented with adequate and early enzyme replacement treatment applied to infant-onset Pompe patients.

scholarly journals Glioma infiltration of the corpus callosum: early signs detected by DTI

2013 ◽  
Vol 112 (2) ◽  
pp. 217-222 ◽  
Author(s):  
K. Kallenberg ◽  
T. Goldmann ◽  
J. Menke ◽  
H. Strik ◽  
H. C. Bock ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Corpus Callosum ◽  
Diffusion Tensor ◽  
Brain Parenchyma ◽  
Contralateral Hemisphere ◽  
Tumor Spread ◽  
Conventional Mri ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Histopathological Studies

Abstract The most frequent primary brain tumors, anaplastic astrocytomas (AA) and glioblastomas (GBM): tend to invasion of the surrounding brain. Histopathological studies found malignant cells in macroscopically unsuspicious brain parenchyma remote from the primary tumor, even affecting the contralateral hemisphere. In early stages, diffuse interneural infiltration with changes of the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) is suspected. The purpose of this study was to investigate the value of DTI as a possible instrument of depicting evidence of tumor invasion into the corpus callosum (CC). Preoperatively, 31 patients with high-grade brain tumors (8 AA and 23 GBM) were examined by MRI at 3 T, applying a high-resolution diffusion tensor imaging (DTI) sequence. ADC- and FA-values were analyzed in the tumor-associated area of the CC as identified by fiber tracking, and were compared to matched healthy controls. In (MR-)morphologically normal appearing CC the ADC values were elevated in the tumor patients (n = 22; 0.978 × 10−3 mm²/s) compared to matched controls (0.917 × 10−3 mm²/s, p < 0.05), and the corresponding relative FA was reduced (rFA: 88 %, p < 0.01). The effect was pronounced in case of affection of the CC visible on MRI (n = 9; 0.978 × 10−3 mm²/s, p < 0.05; rFA: 72 %, p < 0.01). Changes in diffusivity and anisotropy in the CC can be interpreted as an indicator of tumor spread into the contralateral hemisphere not visible on conventional MRI.

Diffusion tensor imaging reveals microstructural differences between subtypes of trigeminal neuralgia

2020 ◽  
Vol 133 (2) ◽  
pp. 573-579 ◽  
Author(s):  
Matthew S. Willsey ◽  
Kelly L. Collins ◽  
Erin C. Conrad ◽  
Heather A. Chubb ◽  
Parag G. Patil
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Tensor Imaging ◽  
Trigeminal Neuralgia ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Tensor ◽  
Statistical Significance ◽  
Region Of Interest ◽  
Pain Syndrome ◽  
Radial Diffusivity ◽  
Apparent Diffusion

OBJECTIVETrigeminal neuralgia (TN) is an uncommon idiopathic facial pain syndrome. To assist in diagnosis, treatment, and research, TN is often classified as type 1 (TN1) when pain is primarily paroxysmal and episodic or type 2 (TN2) when pain is primarily constant in character. Recently, diffusion tensor imaging (DTI) has revealed microstructural changes in the symptomatic trigeminal root and root entry zone of patients with unilateral TN. In this study, the authors explored the differences in DTI parameters between subcategories of TN, specifically TN1 and TN2, in the pontine segment of the trigeminal tract.METHODSThe authors enrolled 8 patients with unilateral TN1, 7 patients with unilateral TN2, and 23 asymptomatic controls. Patients underwent DTI with parameter measurements in a region of interest within the pontine segment of the trigeminal tract. DTI parameters were compared between groups.RESULTSIn the pontine segment, the radial diffusivity (p = 0.0049) and apparent diffusion coefficient (p = 0.023) values in TN1 patients were increased compared to the values in TN2 patients and controls. The DTI measures in TN2 were not statistically significant from those in controls. When comparing the symptomatic to asymptomatic sides in TN1 patients, radial diffusivity was increased (p = 0.025) and fractional anisotropy was decreased (p = 0.044) in the symptomatic sides. The apparent diffusion coefficient was increased, with a trend toward statistical significance (p = 0.066).CONCLUSIONSNoninvasive DTI analysis of patients with TN may lead to improved diagnosis of TN subtypes (e.g., TN1 and TN2) and improve patient selection for surgical intervention. DTI measurements may also provide insights into prognosis after intervention, as TN1 patients are known to have better surgical outcomes than TN2 patients.

Assessment of White Matter Lesions in Parkinson's Disease: Voxel-based Analysis and Tract-based Spatial Statistics Analysis of Parkinson's Disease with Mild Cognitive Impairment

2020 ◽  
Vol 17 (4) ◽  
pp. 480-486
Author(s):  
Wei Pu ◽  
Xudong Shen ◽  
Mingming Huang ◽  
Zhiqian Li ◽  
Xianchun Zeng ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Corpus Callosum ◽  
Fractional Anisotropy ◽  
Spatial Statistics ◽  
Diffusion Tensor ◽  
Tract Based Spatial Statistics

Objective: Application of diffusion tensor imaging (DTI) to explore the changes of FA value in patients with Parkinson's disease (PD) with mild cognitive impairment. Methods: 27 patients with PD were divided into PD with mild cognitive impairment (PD-MCI) group (n = 7) and PD group (n = 20). The original images were processed using voxel-based analysis (VBA) and tract-based spatial statistics (TBSS). Results: The average age of pd-mci group was longer than that of PD group, and the course of disease was longer than that of PD group. Compared with PD group, the voxel based analysis-fractional anisotropy (VBA-FA) values of PD-MCI group decreased in the following areas: bilateral frontal lobe, bilateral temporal lobe, bilateral parietal lobe, bilateral subthalamic nucleus, corpus callosum, and gyrus cingula. Tract-based spatial statistics-fractional anisotropy (TBSS-FA) values in PD-MCI group decreased in bilateral corticospinal tract, anterior cingulum, posterior cingulum, fornix tract, bilateral superior thalamic radiation, corpus callosum(genu, body and splenium), bilateral uncinate fasciculus, bilateral inferior longitudinal fasciculus, bilateral superior longitudinal fasciculus, bilateral superior fronto-occipital fasciculus, bilateral inferior fronto-occipital fasciculus, and bilateral parietal-occipital tracts. The mean age of onset in the PD-MCI group was greater than that in the PD group, and the disease course was longer than that in the PD group. Conclusion: DTI-based VBA and TBSS post-processing methods can detect abnormalities in multiple brain areas and white matter fiber tracts in PD-MCI patients. Impairment of multiple cerebral cortex and white matter fiber pathways may be an important causes of cognitive dysfunction in PD-MCI.

Correlation Between DTI Findings and Volume of Corpus Callosum in Children with AUTISM

2019 ◽  
Vol 15 (9) ◽  
pp. 895-899 ◽  
Author(s):  
Hafize Otcu Temur ◽  
Ismail Yurtsever ◽  
Gozde Yesil ◽  
Rasul Sharifov ◽  
Fatih Temel Yilmaz ◽  
...  
Keyword(s):  
Corpus Callosum ◽  
Cortical Neurons ◽  
Diffusion Tensor ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Children With Asd ◽  
Volume Measurements ◽  
Adc Values ◽  
Axonal Density ◽  
Area And Volume

Background: Autism Spectrum Disorder (ASD) is a complex developmental disorder in which neurological basis is largely unknown. The Corpus Callosum (CC) is the main commissure that connects the cerebral hemispheres. Previous evidence suggests the involvement of the CC in the pathophysiology of autism. Aim: The aim of our study is to assess whether there were any changes in Corpus Callosum (CC) area and volume and to reveal the relationship between Diffusion Tensor Imaging (DTI) features in genu and splenium of corpus callosum in children with ASD. Methods: Eighteen patient and 15 controls were recruited. The volumetric sagittal TI images were used to provide measurements of midsagittal corpus callosum surface area while FA, MD, RD, and ADC values were extracted from genu and splenium of corpus callosum after which the correlation in the area and volume in ASD children was examined. Results: CC area and volume in children with ASD were decreased than controls. FA values obtained from the genu and splenum of CC were significantly lower and RD values were significantly higher. A positive correlation was observed between the FA of the genu and splenium and area and volume of the CC. There was a negative correlation between ADC, MD and RD of CC and area and volume measurements. Conclusion: The conclusions in the interrelations of morphometric and DTI data may demonstrate a likelihood of damages in the axons and cortical neurons. The results showed that there existed microstructural damages from the DTI findings. Furthermore, the decrease in FA could be a representation of the reduction in the myelination in nerve pathways, impaired integrity, reduced axonal density, and organization. Indeed, the changes in volumetric and microstructural of CC could be useful in evaluating underlying pathophysiology in children with autism.

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