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1.
J Ultrasound ; 18(4): 385-93, 2015 Dec.
Article in English | MEDLINE | ID: mdl-26550064

ABSTRACT

The purpose of this article is to review ultrasonographic appearance of the most common causes of non-traumatic acute abdominal pain in pediatric patients and to understand the applications and limitations of this technique giving a practical approach showing different clinical cases. A pictorial review of cases was made presenting the most common causes of neonatal and pediatric non-traumatic acute abdominal pain; sonographic features are discussed. Ultrasound in conjunction with Color Doppler imaging is a valuable tool in the evaluation of neonatal and pediatric non-traumatic acute abdominal pain; causes of acute abdomen in children could vary depending on the ages of the children.

2.
Emerg Radiol ; 22(4): 351-6, 2015 Aug.
Article in English | MEDLINE | ID: mdl-25563705

ABSTRACT

The purpose of this study was to determine the relationship between admission visual acuity (VA) and facial computed tomographic (CT) findings of traumatic optic neuropathy (TON). We retrospectively evaluated CT findings in 44 patients with TON. Mid-facial fractures, extraconal and intraconal hematomas, hematomas along the optic nerve and the posterior globe, optic canal fracture, nerve impingement by optic canal fracture fragment, and extraconal and intraconal emphysema were evaluated. CT variables of patients with and without available VA were compared. VA was converted into logarithm of the minimum angle of resolution (logMAR) to provide a numeric scale for the purpose of statistical analysis. The risk factors related to poor VA on univariate analysis were as follows: intraconal hematoma [median logMAR -4.7 versus -1.15, p = 0.016] and hematoma along the optic nerve [median -4.7 versus -1.3, p = 0.029]. Intraconal hematoma was the best predictor of poor VA (coefficient, 1.01; SE, 0.34; and p = 0.008). Receiver operating characteristic (ROC) curve analysis showed that the presence of intraconal hematoma and hematoma along the optic nerve predicted poor VA (logMAR of -3.7 or lower) with an area under the curve of 0.8 and 0.85, respectively. TON patients at higher risk of severe visual impairment may be identified based on admission facial CT.


Subject(s)
Optic Nerve Injuries/diagnostic imaging , Tomography, X-Ray Computed , Visual Acuity , Wounds, Nonpenetrating/diagnostic imaging , Adolescent , Adult , Aged , Contrast Media , Female , Humans , Male , Middle Aged , Optic Nerve Injuries/etiology , Retrospective Studies , Risk Factors , Wounds, Nonpenetrating/etiology
3.
J Neurosurg ; 121(5): 1275-83, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25170662

ABSTRACT

OBJECT: The authors conducted a study to compare the sensitivity and specificity of helical CT angiography (CTA) and digital subtraction angiography (DSA) in detecting intracranial arterial injuries after penetrating traumatic brain injury (PTBI). METHODS: In a retrospective evaluation of 48 sets of angiograms from 45 consecutive patients with PTBI, 3 readers unaware of the DSA findings reviewed the CTA images to determine the presence or absence of arterial injuries. A fourth reader reviewed all the disagreements and decided among the 3 interpretations. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CTA were calculated on a per-injury basis and in a subpopulation of patients with traumatic intracranial aneurysms (TICAs). RESULTS: Sensitivity of CTA for detecting arterial injuries was 72.7% (95% CI 49.8%-89.3%); specificity, 93.5% (95% CI 78.6%-99.2%); PPV, 88.9% (95% CI 65.3%-98.6%); and NPV, 82.9% (95% CI 66.4%-93.4%). All 7 TICAs were correctly identified by CTA. Sensitivity, specificity, PPV, and NPV of CTA in detecting TICAs were 100%. To compare agreement with DSA, the standard of reference, confidence scores categorized as low, intermediate, and high probability yielded an overall effectiveness of 77.8% (95% CI 71.8%-82.9%). CONCLUSIONS: Computed tomography angiography had limited overall sensitivity in detecting arterial injuries in patients with PTBI. However, it was accurate in identifying TICAs, a subgroup of injuries usually managed by either surgical or endovascular approaches, and non-TICA injuries involving the first-order branches of intracranial arteries.


Subject(s)
Cerebrovascular Disorders/diagnostic imaging , Head Injuries, Penetrating/diagnostic imaging , Postoperative Complications/diagnostic imaging , Adolescent , Adult , Aged , Cerebral Angiography , Cerebrovascular Disorders/etiology , Diffusion Magnetic Resonance Imaging , False Positive Reactions , Female , Head Injuries, Penetrating/complications , Humans , Image Processing, Computer-Assisted , Male , Middle Aged , Reproducibility of Results , Retrospective Studies , Tomography, Spiral Computed , Young Adult
5.
Radiology ; 272(3): 824-31, 2014 Sep.
Article in English | MEDLINE | ID: mdl-24758554

ABSTRACT

PURPOSE: To determine the specific facial computed tomographic (CT) findings that can be used to predict traumatic optic neuropathy (TON) in patients with blunt craniofacial trauma and propose a scoring system to identify patients at highest risk of TON. MATERIALS AND METHODS: This study was compliant with HIPAA, and permission was obtained from the institutional review board. Facial CT examination findings in 637 consecutive patients with a history of blunt facial trauma were evaluated retrospectively. The following CT variables were evaluated: midfacial fractures, extraconal hematoma, intraconal hematoma, hematoma along the optic nerve, hematoma along the posterior globe, optic canal fracture, nerve impingement by optic canal fracture fragment, extraconal emphysema, and intraconal emphysema. A prediction model was derived by using regression analysis, followed by receiver operating characteristic analysis to assess the diagnostic performance. To examine the degree of overfitting of the prediction model, a k-fold cross-validation procedure (k = 5) was performed. The ability of the cross-validated model to allow prediction of TON was examined by comparing the mean area under the receiver operating characteristic curve (AUC) from cross-validations with that obtained from the observations used to create the model. RESULTS: The five CT variables with significance as predictors were intraconal hematoma (odds ratio, 12.73; 95% confidence interval [CI]: 5.16, 31.42; P < .001), intraconal emphysema (odds ratio, 5.21; 95% CI: 2.03, 13.36; P = .001), optic canal fracture (odds ratio, 4.45; 95% CI: 1.91, 10.35; P = .001), hematoma along the posterior globe (odds ratio, 0.326; 95% CI: 0.111, 0.958; P = .041), and extraconal hematoma (odds ratio, 2.36; 95% CI: 1.03, 5.41; P = .042). The AUC was 0.818 (95% CI: 0.734, 0.902) for the proposed model based on the observations used to create the model and 0.812 (95% CI: 0.723, 0.9) after cross-validation, excluding substantial overfitting of the model. CONCLUSION: The risk model developed may help radiologists suggest the possibility of TON and prioritize ophthalmology consults. However, future external validation of this prediction model is necessary.


Subject(s)
Facial Injuries/diagnostic imaging , Facial Injuries/epidemiology , Optic Nerve Injuries/diagnostic imaging , Optic Nerve Injuries/epidemiology , Tomography, X-Ray Computed/statistics & numerical data , Wounds, Nonpenetrating/diagnostic imaging , Wounds, Nonpenetrating/epidemiology , Adolescent , Adult , Aged , Comorbidity , Face/diagnostic imaging , Female , Humans , Incidence , Male , Middle Aged , Multiple Trauma/diagnostic imaging , Multiple Trauma/epidemiology , Prognosis , Reproducibility of Results , Risk Assessment/methods , Sensitivity and Specificity , Trauma Severity Indices , United States/epidemiology , Young Adult
6.
J Radiol Case Rep ; 4(11): 1-8, 2010.
Article in English | MEDLINE | ID: mdl-22470696

ABSTRACT

Extramedullary haematopoiesis is the production of blood elements outside the bone marrow cavity. In our case computed tomography and magnetic resonance imaging revealed the presence of a rare localization of extramedullary haematopoiesis with encasement of the biliary system in a 59 years-old male Caucasian patient, with chronic myelofibrosis and hepatic failure's symptomatology. Computed tomography detected the presence of homogeneous hypodense tissue around intra-hepatic bile ducts with minimal contrast enhancement, strongly suggestive for extramedullary haematopoiesis. Magnetic resonance confirmed the presence of a solid tissue surrounding the biliary tree, showing late enhancement after gadolinium administration suggestive for non-active lesion of extramedullary haematopoiesis. Final diagnosis was established by percutaneous biopsy.

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