Correlation of the apparent diffusion coefficient and the creatine level in early ischemic stroke: A comparison of different patterns by magnetic resonance

Rumpel, Helmut; Khoo, James B. K.; Chang, Hui Meng; Lim, Winston Eng Hoe; Chen, Christopher; Wong, Meng Cheong; Tan, K P

doi:10.1002/jmri.1048

Cited by 19 publications

(17 citation statements)

References 31 publications

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“…However, Rumpel et al (51) have shown that in the stroke lesion there is a significant correlation between the ADC and the creatine level estimated by single-voxel localized spectroscopy. Therefore, the addition of spectroscopic data may not significantly improve the performance of the proposed method.…”

Section: Discussionmentioning

confidence: 98%

MRI tissue characterization of experimental cerebral ischemia in rat

Soltanian-Zadeh

Pasnoor

Hammoud

et al. 2003

Magnetic Resonance Imaging

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Purpose:To extend the ISODATA image segmentation method to characterize tissue damage in stroke, by generating an MRI score for each tissue that corresponds to its histological damage. Materials and Methods:After preprocessing and segmentation (using ISODATA clustering), the proposed method scores tissue regions between 1 and 100. Score 1 is assigned to normal brain matter (white or gray matter), and score 100 to cerebrospinal fluid (CSF). Lesion zones are assigned a score based on their relative levels of similarities to normal brain matter and CSF. To evaluate the method, 15 rats were imaged by a 7T MRI system at one of three time points (acute, subacute, chronic) after MCA occlusion. Then they were killed and their brains were sliced and prepared for histological studies. MRI of two or three slices of each rat brain (using two DWI (b ϭ 400, b ϭ 800), one PDWI, one T2WI, and one T1WI) was performed, and an MRI score between 1 and 100 was determined for each region. Segmented regions were mapped onto the histology images and scored on a scale of 1-10 by an experienced pathologist. The MRI scores were validated by comparison with histology scores. To this end, correlation coefficients between the two scores (MRI and histology) were determined. Results:Experimental results showed excellent correlations between MRI and histology scores at different time points. Depending on the reference tissue (gray matter or white matter) used in the standardization, the correlation coefficients ranged from 0.73 (P Ͻ 0.0001) to 0.78 (P Ͻ 0.0001) using the entire dataset, including acute, subacute, and chronic time points. This suggests that the proposed multiparametric approach accurately identified and characterized ischemic tissue in a rat model of cerebral ischemia at different stages of stroke evolution. Conclusion:The proposed approach scores tissue regions and characterizes them using unsupervised clustering and multiparametric image analysis techniques. The method can be used for a variety of applications in the field of computer-aided diagnosis and treatment, including evaluation of response to treatment. For example, volume changes for different zones of the lesion over time (e.g., tissue recovery) can be evaluated.

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Section: Discussionmentioning

confidence: 98%

MRI tissue characterization of experimental cerebral ischemia in rat

Soltanian-Zadeh

Pasnoor

Hammoud

et al. 2003

Magnetic Resonance Imaging

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“…NAA has been used as an index of neuronal integrity and synaptic abundance (De Stefano et al, 2002) and has been indirectly related to glutamate metabolism (Petroff et al, 2002; Egan et al, 2004; Marenco et al, 2006), while tCre represents compounds related to energy metabolism (Miller, 1991) and may be related in some situations to cell density (Rumpel et al, 2001). These analyses were performed as post-hoc surveys and should be viewed with circumspection.…”

Section: Discussionmentioning

confidence: 99%

Genetic Association of ErbB4 and Human Cortical GABA LevelsIn Vivo

Marenco¹,

Geramita

Veen

et al. 2011

J. Neurosci.

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NRG1-ErbB4 signaling controls inhibitory circuit development in the mammalian cortex through ErbB4 dependent regulation of GABAergic interneuron connectivity. Common genetic variation in ErbB4 (rs7598440) has been associated with ErbB4 messenger RNA levels in the human cortex and risk for schizophrenia. Recent work demonstrates that Erbb4 is expressed exclusively on inhibitory interneurons, where its presence on parvalbumin positive cells mediates the effects of NRG1 on inhibitory circuit formation in the cortex. We therefore hypothesized that genetic variation in ErbB4 at rs7598440 would impact indices of GABA concentration in the human cortex. We tested this hypothesis in 116 healthy volunteers by measuring GABA and GLX (glutamate + glutamine) with proton magnetic resonance spectroscopy (MRS) in the dorsal anterior cingulate gyrus. ErbB4 rs7598440 genotype significantly predicted cortical GABA concentration (p=0.014), but not GLX (p=0.51), with A allele carriers having higher GABA as predicted by their impact on ErbB4 expression. These data establish an association of ErbB4 and GABA in human brain and have implications for understanding the pathogenesis of schizophrenia and other psychiatric disorders.

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“…Briefly, the higher the cellular density is, the lower the ADC value will be in DWI, and vice versa [21]. For malignant tumors, they have a relatively high cellular density and therefore will produce a low ADC value in DWI, while for benign lesion, its density is generally low and thus will produce a high ADC value in DWI.…”

Section: Discussionmentioning

confidence: 99%

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

Zhang¹,

Huang²,

Du³

et al. 2009

BMC Cancer

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BackgroundTo define a threshold value of apparent diffusion coefficient (ADC) with which malignant breast lesions can be distinguished from benign lesions, and to evaluate the ADC change of peri-tumor tissue in breast carcinoma by echo planar-diffusion weighted imaging (EPI-DWI).Methods57 breast lesions were scanned by routine MRI and EPI-DWI. The ADC values were compared between malignant and benign lesions. The sensitivity and specificity of EPI-DWI and the threshold ADC value were evaluated by Receiver Operating Characteristic curve (ROC). The ADC values of malignant lesion and layered peri-tumor tissues (from innermost layer 1 to outermost layer 4 with 5 mm every layer) in different directions were compared and the ADC values among different layers were compared.ResultsThe ADC value of 35 malignant lesions was statistically lower than that of 22 benign lesions (P < 0.05). In ROC curve, the threshold value was 1.24 +/- 0.25*10E-3 mm2/s (b = 500) or 1.20 +/- 0.25*10E-3 mm2/s (b = 1000). The ADC value of malignant lesions was statistically lower than that of peri-tumor tissues in different directions (P < 0.05). For peri-tumor tissues, the ADC values increased gradually from layer 1 to layer 4 and there was a significant difference between the ADC values of layer 1 and layer 2 (P < 0.05); while from layer 2 outwards, there was no statistical difference among different layers.ConclusionADC value was a sensitive and specific parameter that could help to differentiate benign and malignant breast lesions. ADC changes in tissues adjacent to breast carcinoma could be detected by EPI-DWI, which made EPI-DWI a promising method for helping to determine surgical scope of breast carcinoma.

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Correlation of the apparent diffusion coefficient and the creatine level in early ischemic stroke: A comparison of different patterns by magnetic resonance

Cited by 19 publications

References 31 publications

MRI tissue characterization of experimental cerebral ischemia in rat

MRI tissue characterization of experimental cerebral ischemia in rat

Genetic Association of ErbB4 and Human Cortical GABA LevelsIn Vivo

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

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