Radiological assessment of children with pectus excavatum.

OBJECTIVE: To assess what degree of chest wall deformation changes statistically reliably after surgery, using pre- and postoperative radiological examination data. METHODS: Radiological chest examinations were performed for 88 children before and after remedial operations. Pre- and postoperative chest radiograph and CT were performed to measure transversal chest width; sagittal left chest side depth, sagittal right chest side depth, sternovertebral distance and vertebral body length. Derivative indices were also estimated: Vertebral index (VI), Frontosagittal index (FI), Haller index (HI) and asymmetry index. Computerized assessment of data was used. For statistical analysis, the software "Statistica 6.0" was used. RESULTS: Postoperatively VI increased approximately by 2.37+/-2.72, FI decreased by 4.60+/-4.34 and HI value increased approximately up by 0.45+/-0.49. Statistically significant deformation index difference before and after surgery was not detected when VI was below 26.2 (p=0.08), FI was above 32.9 (p=0.079) and HI was less than 3.12 (p=0.098). CONCLUSION: Preoperative CT and X-ray assessment of chest wall deformation degree is important for pediatric patients. The following deformation indices are indications for surgical treatment: VI>26, FSI< 33 and HI>3.1.

Cerebral computed tomographic angiography scan delay in subarachnoid hemorrhage.

CONTEXT: Computed tomographic angiography (CTA) is widely applied in the evaluation of cerebral vessels. Contrast enhancement in cerebral CTA without care or test bolus is not always sufficient for high-quality images. AIMS: Evaluation of the possibilities of calculation of scan delay for cerebral CTA in case of subarachnoid hemorrhage (SAH), based on clinical data of a patient and to find out prognostic error of the model. SETTINGS AND DESIGN: Prospective study in Neurosurgery and Radiology departments. MATERIALS AND METHODS: Scan delay in 53 patients suffering an acute SAH was measured employing test bolus technique. Cerebral CTA was performed afterwards. STATISTICAL ANALYSIS USED: SPSS for Windows v.10.1 software package was applied for dispersion analysis, including one-sample Kolmogorov-Smirnov's test and Levene's Test of Equality of Error Variances. RESULTS: A statistical model for the prediction of scan delay in SAH was developed. Cerebral CTA scan delay was dependent upon age, neurological status and impact of the latter factors together (P< 0.05). The determined mean square error of prognosis of scan delay of the developed model equals 3.3 sec. CONCLUSION: Using our proposed model it is possible to estimate an optimal delay time for CTA in most patients with SAH with a determined error.