Cranial computed tomography scans of premature babies predict their eventual learning disabilities

1997 ◽  
Vol 16 (4) ◽  
pp. 319-322 ◽  
Author(s):  
Akira Ishida ◽  
Wako Nakajima ◽  
Hirokazu Arai ◽  
Yasushi Takahashi ◽  
Riho Iijima ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Learning Disabilities ◽  
Cranial Computed Tomography ◽  
Premature Babies ◽  
Computed Tomography Scans

scholarly journals Hyperglycemia in pediatric head trauma patients: a cross-sectional study

2009 ◽  
Vol 67 (3b) ◽  
pp. 804-806 ◽  
Author(s):  
José Roberto Tude Melo ◽  
Rodolfo Casimiro Reis ◽  
Laudenor Pereira Lemos-Júnior ◽  
Henrique Miguel Santos Coelho ◽  
Carlos Eduardo Romeu de Almeida ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Head Trauma ◽  
Cross Sectional Study ◽  
Cranial Computed Tomography ◽  
Trauma Patients ◽  
Severe Head Trauma ◽  
Sectional Study ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Computed Tomography Scans

OBJECTIVE: To verify the prevalence of acute hyperglycemia in children with head trauma stratified by the Glasgow coma scale (GCS). METHOD: A prospective cross-sectional study carried out with information from medical records of pediatric patients presenting with head injury in the emergency room of a referral emergency hospital during a one year period. We considered the cut-off value of 150 mg/dL to define hyperglycemia. RESULTS: A total of 340 children were included and 60 (17.6%) had admission hyperglycemia. Hyperglycemia was present in 9% of mild head trauma cases; 30.4% of those with moderate head trauma and 49% of severe head trauma. We observed that among children with higher blood glucose levels, 85% had abnormal findings on cranial computed tomography scans. CONCLUSION: Hyperglycemia was more prevalent in patients with severe head trauma (GCS <8), regardless if they had or not multiple traumas and in children with abnormal findings on head computed tomography scans.

scholarly journals Hybrid Convolutional Neural Network-Based Diagnosis System for Intracranial Hemorrhage

2021 ◽  
Vol 12 (4) ◽  
pp. 01-27
Author(s):  
Sezin Barin ◽  
Murat Saribaş ◽  
Beyza Gülizar Çiltaş ◽  
Gür Emre Güraksin ◽  
Utku Köse
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Early Diagnosis ◽  
Intracranial Hemorrhage ◽  
Hybrid Method ◽  
Computer Aided Design ◽  
Cranial Computed Tomography ◽  
Critical Problem ◽  
Computed Tomography Scans ◽  
Aided Design

Early diagnosis of intracranial hemorrhage significantly reduces mortality. Hemorrhage is diagnosed by using various imaging methods and the most time-efficient one among them is computed tomography (CT). However, it is clear that accurate CT scans requires time, diligence, and experience. Computer-aided design methods are vital for the treatment because they facilitate early diagnosis of intracranial hemorrhage. At this point, deep learning can provide effective outcomes through an automated diagnosis way. However, as different from the known solutions, diagnosis of five different hemorrhage subtypes is a critical problem to be solved.This study focused on deep learning methods and employed cranial computed tomography scans in order to detect intracranial hemorrhage. The diagnosis approach in the study aimed to detect five subtypes of hemorrhage. In detail, EfficientNet-B3 and ResNet-Inception-V2 architectures were used for diagnosis purposes. Eventually, the study also proposed a two-architecture hybrid method for the diagnosis purpose. The obtained findings by the hybrid method were evaluated in terms of a comparative perspective.Results showed that the newly designed hybrid method was quite effective in terms of increasing classification rates of detecting intracranial hemorrhage according to the subtypes. Briefly, an accuracy of 98.5%, which is higher than those of the EfficientNet-B3 and the Inception-ResNet-V2, were obtained thanks to the developed hybrid method.

Cranial Computed Tomography Scans in Children After Minimal Head Injury With Loss of Consciousness

1994 ◽  
Vol 24 (4) ◽  
pp. 640-645 ◽  
Author(s):  
Robert L Davis ◽  
Neil Mullen ◽  
Martin Makela ◽  
James A Taylor ◽  
Wendy Cohen ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Head Injury ◽  
Cranial Computed Tomography ◽  
Loss Of Consciousness ◽  
Computed Tomography Scans

High-yield criteria for urgent cranial computed tomography scans

1986 ◽  
Vol 15 (10) ◽  
pp. 1167-1172 ◽  
Author(s):  
Myron L Mills ◽  
Louis S Russo ◽  
Frederick S Vines ◽  
Bradford A Ross
Keyword(s):  
Computed Tomography ◽  
High Yield ◽  
Cranial Computed Tomography ◽  
Yield Criteria ◽  
Computed Tomography Scans

Accuracy of Interpretation of Cranial Computed Tomography Scans in an Emergency Medicine Residency Program

1995 ◽  
Vol 25 (2) ◽  
pp. 169-174 ◽  
Author(s):  
Dennis Alfaro ◽  
M.Andrew Levitt ◽  
David K English ◽  
Virgil Williams ◽  
Ronald Eisenberg
Keyword(s):  
Computed Tomography ◽  
Emergency Medicine ◽  
Residency Program ◽  
Cranial Computed Tomography ◽  
Computed Tomography Scans

scholarly journals Skull radiographs and computed tomography scans in children and adolescents with mild head trauma

2008 ◽  
Vol 66 (3b) ◽  
pp. 708-710 ◽  
Author(s):  
José Roberto Tude Melo ◽  
Rodolfo Casimiro Reis ◽  
Laudenor Pereira Lemos-Júnior ◽  
Assuero Azevedo-Neto ◽  
Dalton Willy Santos Oliveira ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Emergency Department ◽  
Head Trauma ◽  
Pediatric Patients ◽  
Trauma Centre ◽  
Cranial Computed Tomography ◽  
Trauma Patients ◽  
Computed Tomography Scans ◽  
Skull Radiographs ◽  
Multiple Traumas

OBJECTIVE: To identify which pediatric patients with mild head trauma are candidates for skull radiographs or cranial computed tomography (CCT) scans. METHOD: Patients with mild head trauma aged from 0 to 19 years presenting to the Emergency Department of a trauma centre from Salvador City, Brazil, between May 2007 and May 2008. RESULTS: A total of 1888 mild head trauma patients were admitted; mean age was 7.4 (±5.5) years. A total of 1956 skull radiographs and 734 CCT scans were performed. About 44.4% patients with Glasgow coma score (GCS) 13 and 55.4% with GCS 14 had abnormal CCT scans. In patients with multiple traumas, 16% had abnormal findings on CCT scans. CONCLUSION: We strongly recommend routine CCT studies to patients with GCS of 13 and 14 or to multiple trauma victims, independently of score. Routine screening skull radiographs were not useful in the evaluation of mild head trauma patients in this study.

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