Surfaces doses can be reduced if radiologic technologists can better center patients within the CT gantry. Automatic centering technique can help in optimum patient centering and result in as much as 30% reduction in surface dose.
BACKGROUND AND PURPOSE:Children with a shunt for hydrocephalus often undergo multiple follow-up head CT scans, increasing the risk for long-term effects of ionizing radiation. The purpose of our study was to evaluate if an unenhanced low-dose head CT could consistently provide acceptable image quality and diagnostic information.
Purpose:To retrospectively evaluate the efficacy of spectral presaturation attenuated inversion-recovery (SPAIR) fatsuppressed (FS) partial Fourier single shot (SSH) T2-weighted (T2W) and gadolinium-enhanced (Gd) FS 3D-gradient echo (3DGRE) T1-weighted (T1W) delayed phase MRI to differentiate active bowel inflammation from fibrotic disease in patients with Crohn's disease (CD). Materials and Methods:MRI studies of 81 patients (mean age, 43 years; range, 22-77 years; M:F ratio 33:48) had T2W and T1W imaging including SPAIR-SSH and delayed Gd-3DGRE. The ability to assess disease activity in bowel segments affected were retrospectively evaluated by a grading scheme based on subjective analysis of signal intensities. These results were compared against the standard clinical parameters of disease activity.Results: SPAIR-SSH images correlated better (r ϭ 0.74, P Ͻ 0.0001) with activity than delayed Gd-3DGRE (r ϭ 0.39, P ϭ 0.0003), with a significant difference between the two techniques (P Ͻ 0.0001). SPAIR-SSH images showed higher specificity in detection of severely active disease in per patient (98%) and segmental (98%) analysis compared to Gd-3DGRE (57%, 70%). Gd-3DGRE technique showed significantly higher sensitivity (P ϭ 0.01) in identifying active disease in per patient (83%) and segmental (85%) analysis compared to SPAIR-SSH (70%, 64%).Conclusion: SPAIR-SSH detects actively diseased CD bowel segments with a high level of specificity. Noninflammatory bowel fibrosis corresponds to abnormal uptake on delayed phase Gd-3DGRE images but without associated elevated abnormal signal on SPAIR-SSH.
Active inflammation on MRE is associated with higher C-reactive protein, erythrocyte sedimentation rate, platelets, and lower albumin in children with CD. MRE displays excellent agreement with endoscopic disease described by ulcers but poor agreement with mild mucosal disease described by erythema and friability. The present study adds to a growing body of evidence that MRE provides excellent assessment of inflammation and measures disease activity in CD.
Paediatric skull lesions are commonly identified on imaging. They can be challenging to image, given their location and size, and often require several imaging modalities to narrow down the differential diagnosis. Accurate diagnosis of these lesions is paramount because the clinical therapy can vary tremendously. In this review, we provide a simple and systematic approach to clinical-radiological features of primary skull lesions. We highlight the imaging characteristics and differentiate pathologies based on imaging appearances. We also accentuate the role of cross-sectional imaging in lesion identification and management implications.
Background and Purpose To apply automated quantitative volumetric MRI analyses to patients diagnosed with Rasmussen’s encephalitis (RE), to determine the predictive value of lobar volumetric measures, and to assess regional atrophy difference and monitor disease progression using these measures. Materials and Methods Nineteen patients (42 scans) with diagnosed RE were studied. Two control groups were used: one with 42 age- and gender-matched normal subjects; the other with 42 non-RE epilepsy patients with the same disease duration as RE patients. Volumetric analysis was performed on T1-weighted images using BrainSuite. Ratios of volumes from the affected hemisphere divided by those from the unaffected hemisphere were used as input to a logistic regression classifier, which was trained to discriminate patients from controls. Using the classifier, we compared the predictive accuracy of all the volumetric measures. These ratios were further used to assess regional atrophy difference and to correlate with epilepsy duration. Results Interhemispheric and frontal lobe ratios had the best prediction accuracy to separate RE patients from normal and non-RE epilepsy controls. The insula showed significantly more atrophy compared to all the other cortical regions. Patients with longitudinal scans showed progressive volume loss of the affected hemisphere. Atrophy of the frontal lobe and insula correlated significantly with epilepsy duration. Conclusions Automated quantitative volumetric analysis provides accurate separation of RE patients from normal controls and non-RE epilepsy patients, and thus may assist diagnosis of RE. Volumetric analysis could also be included as part of followup for RE patients to assess disease progression.
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