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|
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result sql = Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury.
Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury.char = <;code = 60
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result sql = INTRODUCTION : To determine whether diffusion-weighted magnetic resonance (MR) imaging findings combined with initial clinical factors indicate the depth of shearing lesions in the brain structure and therefore relate to coma duration in diffuse axonal injury (DAI).
METHODS : A total of 74 adult patients (48 male and 26 female) with DAI were examined with conventional MR imaging and diffusion-weighted MR imaging between 2 hours and 20 days after injury. Apparent diffusion coefficient (ADC) maps were obtained and the mean ADC values of each region of interest (ROI) were measured using MRI console software. The involvement of the brainstem, deep gray matter, and corpus callosum was determined for each sequence separately as well as for the combination of all sequences. The correlations between MR imaging findings indicating the presence of apparent brain injury combined with initial clinical factors were determined.
RESULTS : Clinical characteristics, such as initial score on the Glasgow coma scale (GCS), age and number of all lesions, and ADC scores were predictive of the duration of coma.
CONCLUSION : It was possible to predict post-traumatic coma duration in DAI from cerebral MR imaging findings combined with clinical prognostic factors in the acute to subacute stage after head injury. Age, ADC scores, GCS score and number of lesions were highly significant in predicting coma duration. The technique presented here might provide a tool for in vivo detection of DAI to allow the prediction of the coma duration during the early stages in patients with traumatic brain injury.
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result sql = Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury.
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char = i;code = 105
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char = e;code = 101
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char = ;code = 32
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char = e;code = 101
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char = A;code = 65
char = D;code = 68
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char = ;code = 32
char = s;code = 115
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char = o;code = 111
char = r;code = 114
char = e;code = 101
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char = C;code = 67
char = S;code = 83
char = ;code = 32
char = s;code = 115
char = c;code = 99
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char = r;code = 114
char = e;code = 101
char = ;code = 32
char = a;code = 97
char = n;code = 110
char = d;code = 100
char = ;code = 32
char = n;code = 110
char = u;code = 117
char = m;code = 109
char = b;code = 98
char = e;code = 101
char = r;code = 114
char = ;code = 32
char = o;code = 111
char = f;code = 102
char = ;code = 32
char = l;code = 108
char = e;code = 101
char = s;code = 115
char = i;code = 105
char = o;code = 111
char = n;code = 110
char = s;code = 115
char = ;code = 32
char = w;code = 119
char = e;code = 101
char = r;code = 114
char = e;code = 101
char = ;code = 32
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char = i;code = 105
char = g;code = 103
char = h;code = 104
char = l;code = 108
char = y;code = 121
char = ;code = 32
char = s;code = 115
char = i;code = 105
char = g;code = 103
char = n;code = 110
char = i;code = 105
char = f;code = 102
char = i;code = 105
char = c;code = 99
char = a;code = 97
char = n;code = 110
char = t;code = 116
char = ;code = 32
char = i;code = 105
char = n;code = 110
char = ;code = 32
char = p;code = 112
char = r;code = 114
char = e;code = 101
char = d;code = 100
char = i;code = 105
char = c;code = 99
char = t;code = 116
char = i;code = 105
char = n;code = 110
char = g;code = 103
char = ;code = 32
char = c;code = 99
char = o;code = 111
char = m;code = 109
char = a;code = 97
char = ;code = 32
char = d;code = 100
char = u;code = 117
char = r;code = 114
char = a;code = 97
char = t;code = 116
char = i;code = 105
char = o;code = 111
char = n;code = 110
char = .;code = 46
char = ;code = 32
char = T;code = 84
char = h;code = 104
char = e;code = 101
char = ;code = 32
char = t;code = 116
char = e;code = 101
char = c;code = 99
char = h;code = 104
char = n;code = 110
char = i;code = 105
char = q;code = 113
char = u;code = 117
char = e;code = 101
char = ;code = 32
char = p;code = 112
char = r;code = 114
char = e;code = 101
char = s;code = 115
char = e;code = 101
char = n;code = 110
char = t;code = 116
char = e;code = 101
char = d;code = 100
char = ;code = 32
char = h;code = 104
char = e;code = 101
char = r;code = 114
char = e;code = 101
char = ;code = 32
char = m;code = 109
char = i;code = 105
char = g;code = 103
char = h;code = 104
char = t;code = 116
char = ;code = 32
char = p;code = 112
char = r;code = 114
char = o;code = 111
char = v;code = 118
char = i;code = 105
char = d;code = 100
char = e;code = 101
char = ;code = 32
char = a;code = 97
char = ;code = 32
char = t;code = 116
char = o;code = 111
char = o;code = 111
char = l;code = 108
char = ;code = 32
char = f;code = 102
char = o;code = 111
char = r;code = 114
char = ;code = 32
char = i;code = 105
char = n;code = 110
char = ;code = 32
char = v;code = 118
char = i;code = 105
char = v;code = 118
char = o;code = 111
char = ;code = 32
char = d;code = 100
char = e;code = 101
char = t;code = 116
char = e;code = 101
char = c;code = 99
char = t;code = 116
char = i;code = 105
char = o;code = 111
char = n;code = 110
char = ;code = 32
char = o;code = 111
char = f;code = 102
char = ;code = 32
char = D;code = 68
char = A;code = 65
char = I;code = 73
char = ;code = 32
char = t;code = 116
char = o;code = 111
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char = l;code = 108
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char = ;code = 32
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char = e;code = 101
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char = c;code = 99
char = t;code = 116
char = i;code = 105
char = o;code = 111
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char = o;code = 111
char = f;code = 102
char = ;code = 32
char = t;code = 116
char = h;code = 104
char = e;code = 101
char = ;code = 32
char = c;code = 99
char = o;code = 111
char = m;code = 109
char = a;code = 97
char = ;code = 32
char = d;code = 100
char = u;code = 117
char = r;code = 114
char = a;code = 97
char = t;code = 116
char = i;code = 105
char = o;code = 111
char = n;code = 110
char = ;code = 32
char = d;code = 100
char = u;code = 117
char = r;code = 114
char = i;code = 105
char = n;code = 110
char = g;code = 103
char = ;code = 32
char = t;code = 116
char = h;code = 104
char = e;code = 101
char = ;code = 32
char = e;code = 101
char = a;code = 97
char = r;code = 114
char = l;code = 108
char = y;code = 121
char = ;code = 32
char = s;code = 115
char = t;code = 116
char = a;code = 97
char = g;code = 103
char = e;code = 101
char = s;code = 115
char = ;code = 32
char = i;code = 105
char = n;code = 110
char = ;code = 32
char = p;code = 112
char = a;code = 97
char = t;code = 116
char = i;code = 105
char = e;code = 101
char = n;code = 110
char = t;code = 116
char = s;code = 115
char = ;code = 32
char = w;code = 119
char = i;code = 105
char = t;code = 116
char = h;code = 104
char = ;code = 32
char = t;code = 116
char = r;code = 114
char = a;code = 97
char = u;code = 117
char = m;code = 109
char = a;code = 97
char = t;code = 116
char = i;code = 105
char = c;code = 99
char = ;code = 32
char = b;code = 98
char = r;code = 114
char = a;code = 97
char = i;code = 105
char = n;code = 110
char = ;code = 32
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result sql = INTRODUCTION : To determine whether diffusion-weighted magnetic resonance (MR) imaging findings combined with initial clinical factors indicate the depth of shearing lesions in the brain structure and therefore relate to coma duration in diffuse axonal injury (DAI).
METHODS : A total of 74 adult patients (48 male and 26 female) with DAI were examined with conventional MR imaging and diffusion-weighted MR imaging between 2 hours and 20 days after injury. Apparent diffusion coefficient (ADC) maps were obtained and the mean ADC values of each region of interest (ROI) were measured using MRI console software. The involvement of the brainstem, deep gray matter, and corpus callosum was determined for each sequence separately as well as for the combination of all sequences. The correlations between MR imaging findings indicating the presence of apparent brain injury combined with initial clinical factors were determined.
RESULTS : Clinical characteristics, such as initial score on the Glasgow coma scale (GCS), age and number of all lesions, and ADC scores were predictive of the duration of coma.
CONCLUSION : It was possible to predict post-traumatic coma duration in DAI from cerebral MR imaging findings combined with clinical prognostic factors in the acute to subacute stage after head injury. Age, ADC scores, GCS score and number of lesions were highly significant in predicting coma duration. The technique presented here might provide a tool for in vivo detection of DAI to allow the prediction of the coma duration during the early stages in patients with traumatic brain injury.
Publication: Neuroradiology 2007 Mar ;49(3)::271-9.
Publication Date: 2007 Mar
Study Author(s): Zheng, W B;Liu, G R;Li, L P;Wu, R H;
Institution: Department of Radiology, Second Hospital, Shantou University Medical College, Shantou, 515041, Guangdong, China. [email protected]
Shortcut link to this study:
Publication Date: 2007 Mar
Study Author(s): Zheng, W B;Liu, G R;Li, L P;Wu, R H;
Institution: Department of Radiology, Second Hospital, Shantou University Medical College, Shantou, 515041, Guangdong, China. [email protected]
Shortcut link to this study:
INTRODUCTION : To determine whether diffusion-weighted magnetic resonance (MR) imaging findings combined with initial clinical factors indicate the depth of shearing lesions in the brain structure and therefore relate to coma duration in diffuse axonal injury (DAI).
METHODS : A total of 74 adult patients (48 male and 26 female) with DAI were examined with conventional MR imaging and diffusion-weighted MR imaging between 2 hours and 20 days after injury. Apparent diffusion coefficient (ADC) maps were obtained and the mean ADC values of each region of interest (ROI) were measured using MRI console software. The involvement of the brainstem, deep gray matter, and corpus callosum was determined for each sequence separately as well as for the combination of all sequences. The correlations between MR imaging findings indicating the presence of apparent brain injury combined with initial clinical factors were determined.
RESULTS : Clinical characteristics, such as initial score on the Glasgow coma scale (GCS), age and number of all lesions, and ADC scores were predictive of the duration of coma.
CONCLUSION : It was possible to predict post-traumatic coma duration in DAI from cerebral MR imaging findings combined with clinical prognostic factors in the acute to subacute stage after head injury. Age, ADC scores, GCS score and number of lesions were highly significant in predicting coma duration. The technique presented here might provide a tool for in vivo detection of DAI to allow the prediction of the coma duration during the early stages in patients with traumatic brain injury.
METHODS : A total of 74 adult patients (48 male and 26 female) with DAI were examined with conventional MR imaging and diffusion-weighted MR imaging between 2 hours and 20 days after injury. Apparent diffusion coefficient (ADC) maps were obtained and the mean ADC values of each region of interest (ROI) were measured using MRI console software. The involvement of the brainstem, deep gray matter, and corpus callosum was determined for each sequence separately as well as for the combination of all sequences. The correlations between MR imaging findings indicating the presence of apparent brain injury combined with initial clinical factors were determined.
RESULTS : Clinical characteristics, such as initial score on the Glasgow coma scale (GCS), age and number of all lesions, and ADC scores were predictive of the duration of coma.
CONCLUSION : It was possible to predict post-traumatic coma duration in DAI from cerebral MR imaging findings combined with clinical prognostic factors in the acute to subacute stage after head injury. Age, ADC scores, GCS score and number of lesions were highly significant in predicting coma duration. The technique presented here might provide a tool for in vivo detection of DAI to allow the prediction of the coma duration during the early stages in patients with traumatic brain injury.
PMID: 17203299
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