Automatic Segmentation of the Corpus Callosum Using a Cell-Competition Algorithm

Lee, Shiou-Ping; Wu, Chien-Sheng; Cheng, Jie-Zhi; Chen, Chung-Ming; Chen, Yu-Chiang; Chou, Ming-Dah

doi:10.1097/rct.0000000000000282

Cited by 13 publications

(8 citation statements)

References 25 publications

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“…We also found that CCI was significantly lower in MS compared with SDCNS patients. Earlier studies showed that CCV is significantly lower in SLE-CNSI and SLE patients without CNS involvement than in healthy individuals both in adult [15,39,40,56,57] and pediatric populations [43]. In the work described above [15], the authors showed that the volume of the posterior part of CC is the best volumetric predictor distinguishing MS from SLE-CNSI patients.…”

Section: Discussionmentioning

confidence: 95%

Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures

Siger,

Wydra,

Wildner

et al. 2024

JCM

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Conventional brain magnetic resonance imaging (MRI) in systemic diseases with central nervous system involvement (SDCNS) may imitate MRI findings of multiple sclerosis (MS). In order to better describe the MRI characteristics of these conditions, in our study we assessed brain volume parameters in MS (n = 58) and SDCNS (n = 41) patients using two-dimensional linear measurements (2DLMs): bicaudate ratio (BCR), corpus callosum index (CCI) and width of third ventricle (W3V). In SDCNS patients, all 2DLMs were affected by age (CCI p = 0.005, BCR p < 0.001, W3V p < 0.001, respectively), whereas in MS patients only BCR and W3V were (p = 0.001 and p = 0.015, respectively). Contrary to SDCNS, in the MS cohort BCR and W3V were associated with T1 lesion volume (T1LV) (p = 0.020, p = 0.009, respectively) and T2 lesion volume (T2LV) (p = 0.015, p = 0.009, respectively). CCI was associated with T1LV in the MS cohort only (p = 0.015). Moreover, BCR was significantly higher in the SDCNS group (p = 0.01) and CCI was significantly lower in MS patients (p = 0.01). The best predictive model to distinguish MS and SDCNS encompassed gender, BCR and T2LV as the explanatory variables (sensitivity 0.91; specificity 0.68; AUC 0.86). Implementation of 2DLMs in the brain MRI analysis of MS and SDCNS patients allowed for the identification of diverse patterns of local brain atrophy in these clinical conditions.

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Section: Discussionmentioning

confidence: 95%

Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures

Siger,

Wydra,

Wildner

et al. 2024

JCM

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“…This can also partly explain the findings that NP-SLE patients seem to exhibit more disrupted WM integrities than non-NPSLE patients. 4,20,23,26,48 Disorders of the immune system might alter emotions and impair memories with specific brain structure injury mediated by antibody. 49,50 In SLE patients, the quantitative changes of brain parenchyma are not limited to neurons in the GM, but also influence the integrity of the WM tracts.…”

Section: Discussionmentioning

confidence: 99%

“…This can also partly explain the findings that NP-SLE patients seem to exhibit more disrupted WM integrities than non-NPSLE patients. 4,20,23,26,48…”

Section: Discussionmentioning

confidence: 99%

“…52,53 Decrease in FA values have been reported in both non-NPSLE patients 25 and NP-SLE patients. 20,24,[26][27][28] The observed deterioration of WM in the CC might lead to impaired function of callosal transmission and negative effects on the normal process of hemispheric specialization, leading to the deficits in memory, executive function, and emotional regulation. 54 Therefore, we conjectured that disrupted CC microstructures may underlie the deficits in cognitive processing and emotional modulation in patients with SLE, especially as a neuroimaging biomarker in NP-SLE patients.…”

Section: Discussionmentioning

confidence: 99%

“…19 Widespread WM abnormalities were reported in SLE patients from numerous studies. Significantly decreased FA has been observed in SLE patients in WM regions like the corpus callosum (CC), [20][21][22][23][24][25][26][27][28] inferior fronto-occipital fasciculus (IFOF), 21,23,29 superior longitudinal fasciculus (SLF), 20,21,23 anterior thalamic radiation, 20,29 inferior longitudinal fasciculus (ILF) 21,23 as well as prefrontal WM. 4 However, the results were inconsistent and controversial.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

White matter microstructure alterations in systemic lupus erythematosus: A preliminary coordinate-based meta-analysis of diffusion tensor imaging studies

Zhou

Dong

Duan

et al. 2021

Lupus

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Background Systemic lupus erythematosus is often accompanied with neuropsychiatric symptoms. Neuroimaging evidence indicated that microstructural white matter (WM) abnormalities play role in the neuropathological mechanism. Diffusion tensor imaging (DTI) studies allows the assessment of the microstructural integrity of WM tracts, but existing findings were inconsistent. This present study aimed to conduct a coordinate‐based meta‐analysis (CBMA) to identify statistical consensus of DTI studies in SLE. Methods Relevant studies that reported the differences of fractional anisotropy (FA) between SLE patients and healthy controls (HC) were searched systematically. Only studies reported the results in Talairach or Montreal Neurological Institute (MNI) coordinates were included. The anisotropic effect size version of signed differential mapping (AES-SDM) was applied to detect WM alterations in SLE. Results Totally, five studies with seven datasets which included 126 patients and 161 HC were identified. The pooled meta-analysis demonstrated that SLE patients exhibited significant FA reduction in the left striatum and bilateral inferior network, mainly comprised the corpus callosum (CC), bilateral inferior fronto-occipital fasciculus (IFOF), bilateral anterior thalamic projections, bilateral superior longitudinal fasciculus (SLF), left inferior longitudinal fasciculus (ILF), and left insula. No region with higher FA was identified. Conclusions Disorders of the immune system might lead to subtle WM microstructural alterations in SLE, which might be related with cognitive deficits or emotional distress symptoms. This provides a better understanding of the pathological mechanism of microstructural brain abnormalities in SLE.

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Different patterns of cerebral perfusion in SLE patients with and without neuropsychiatric manifestations

Zhuo

Duan

et al. 2019

Human Brain Mapping

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To investigate brain perfusion patterns in systemic lupus erythematosus (SLE) patients with and without neuropsychiatric systemic lupus erythematosus (NPSLE and non-NPSLE, respectively) and to identify biomarkers for the diagnosis of NPSLE using noninvasive three-dimensional (3D) arterial spin labeling (ASL). Thirty-one NPSLE and 24 non-NPSLE patients and 32 age-and sex-matched normal controls (NCs) were recruited. Three-dimensional ASL-MRI was applied to quantify cerebral perfusion. Whole brain, gray (GM) and white matter (WM), and voxel-based analysis (VBA) were performed to explore perfusion characteristics. Correlation analysis was performed to find the relationship between the perfusion measures, lesion volumes, and clinical variables. Receiver operating characteristic (ROC) analysis and support vector machine (SVM) classification were applied to differentiate NPSLE patients from non-NPSLE patients and healthy controls. Compared to NCs, NPSLE patients showed increased cerebral blood flow (CBF) within WM but decreased CBF within GM, while non-NPSLE patients showed increased CBF within both GM and WM. Compared to non-NPSLE patients, NPSLE patients showed significantly reduced CBF in the frontal gyrus, cerebellum, and corpus callosum. CBF within several brain regions such as cingulate and corpus callosum showed significant correlations with the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) and the Systemic Lupus International Collaborating Clinics (SLICC) damage index scores. ROC analysis showed moderate performance in distinguishing NPSLE from non-NPSLE patients with AUCs > 0.7, while SVM analysis demonstrated that CBF within the corpus callosum achieved an accuracy of 83.6% in distinguishing NPSLE from non-NPSLE patients. Different brain perfusion patterns were observed between NPSLE and non-NPSLE patients. CBF measured by noninvasive 3D ASL could be a useful biomarker for the diagnosis and disease monitoring of NPSLE and non-NPSLE patients. K E Y W O R D S 3D arterial spin labeling, neuropsychiatric systemic lupus erythematosus, perfusion, systemic lupus erythematosus Zhizheng Zhuo and Li Su contributed equally to this study.

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Automatic Segmentation of the Corpus Callosum Using a Cell-Competition Algorithm

Abstract: A cell-competition algorithm could be used to automatically evaluate callosal atrophy and tissue alterations. Assessments of the corpus callosal volume and tissue integrity helped to demonstrate the effects of CNS involvement in patients with SLE.

Cited by 13 publications

References 25 publications

Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures

Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures

White matter microstructure alterations in systemic lupus erythematosus: A preliminary coordinate-based meta-analysis of diffusion tensor imaging studies

Different patterns of cerebral perfusion in SLE patients with and without neuropsychiatric manifestations

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