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Results: The mean HU of the main pulmonary arteries was 312 in the range of 124 to 677. The mean HU in patients with and without pulmonary embolism was 358 and 302, respectively. Most CT images (61%) had poor quality for the diagnosis of pulmonary embolism. Only 2% of the images were acceptable compared to standard images and protocols. Late imaging was the most common quality confounding factor in this study.
Conclusion: A low-quality image reduces the accuracy of the physician's diagnosis that leads to misdiagnosis. Besides, sometimes poor image quality leads to repetitive imaging, which results in increased patient exposure and therefore increased radiation hazards. Therefore, modifiable confounding factors must be identified and corrected which one of the most important ones is wrong imaging timing protocols after contrast injection. |
Results: According to the results of the qualitative evaluation of image quality, 59.6%, 17.8%, and 22.6% of triphasic CT scans had good, acceptable, and poor quality, respectively. There was a significant relationship between image quality and Hounsfield units of all ROIs in the arterial phase (P<0.005). Also, a significant relationship was observed between the Hounsfield units of the portal vein right on the anterior and posterior segments of the liver (P<0.03) in the venous phase.
Conclusion: In a high quality triphasic CT scan, the Hounsfield unit of different parts in the arterial phase should be as follows: aorta 310±78, portal vein 150±40, hepatic vein 44±7, right posterior and anterior and left lateral segments of liver 77±11, 77±7 and 78±12. Hounsfield units of the portal vein, hepatic vein, and right posterior and anterior segments of the liver in the venous phase should be 155±27, 167±30, 111±19, and 112±16, respectively. |
Results: The patients undergoing LA had a mean age of 44.69 years old and average body mass index (BMI) of 26.7, the patients who performed thyroid nodule fine needle aspiration biopsy without LA had a mean age of 48.17 years old with an average BMI of 26.0. The patients with the maximum nodule size of<10 mm, experienced more pain during the fine needle aspiration biopsy without LA, but there was no significant difference between the S/T-anxiety of these patients. There was no significant difference between the pain and anxiety scores of the patients with larger nodules.
Conclusion: The more pain experienced by the patients with the smallest nodules can be attributed to the need for more needle manipulation due to the small nodule size and less precision while piercing the needle into the nodule. Thus, it can be suggested that in patients with a small nodule size, less than 10mm, usage of LA prior to fine needle aspiration biopsy can reduce the pain significantly. |
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Results: The mean stone size measured by ultrasound and CT scan was 11.23±5.26 and 9.48±4.7mm, respectively, which was significantly different. The highest rate of correlation was observed in the stones>10mm (81%) and then in 5-10mm (69.3%). The lowest agreement was observed in stones <5mm (37.5%).
Conclusion: Using ultrasonography as a screening test or a primary test for detecting the renal stones is recommended. However, considering the importance of a precise assessment of stone size in choosing the treatment method and the limitations of sonography in the evaluation of small stones, a CT scan should be considered as a standard diagnostic tool if there is no contraindication. In CT images, the application of BW might underestimate the stone size in comparison to SW. Considering the results of previous studies, it is better to use magnified BW to assess the stone size on CT scan images. Although the axial view in a CT scan is more routine, for measuring the stone size it is better to use coronal or sagittal views together with axial views. |
Results: Out of 37 patients studied, 23 were female and 14 were male with a dispersion of three 3 to 60 months of age. 31 of these children had at least one abnormal finding in brain MRI images and the other six were completely normal. In relation to the imaging findings, the highest frequency is related to abnormal head circumference with a prevalence of 54% and the lowest frequency is related to abnormal myelinization with a prevalence of 10.8%. Results of MRI findings correlation with developmental domains demonstrated that Children with white matter disorder on MRI show severe gross motor abnormality (P<0.049) and who had MRI finding of cortical problems suffer from developmental delay in fine motor area. (P<0.001).
Conclusion: Considering the mentioned findings; brain MRI can be a useful diagnostic tool in children with developmental delay and also focusing on the developmental area that is more likely to be affected, MRI can help with treatment and rehabilitation process of these children in the future. |
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