Discussion
Based on Siegel’s research et al [5], the photon’s energy affects the dose rate directly and voltage reduction causes dose reduction in all forms and sizes of designed phantoms. In this study, the nodules of 2 mm in width were not notable in images with 80 kV; therefore, voltage reduction can’t be used for dose reduction. Of course for nodules with 4 mm in width and larger dose reduction could be done through voltage reduction from 120 kV to 80 kV.
Based on Heyer et al [6] study, modern CT scanners use 120 and 140 kV to obtain high quality and standard images. Reducing electric power from 120 kV to 80 kV leads to exposure dose reduction but increases the image noise causing decrease of image resolution incrementally. Our study represented a little reduction of image resolution related to voltage reduction which highly affected on nodules of 2 mm in width recognition. In other word, although voltage reduction is not considered as an effective factor on image quality but is of importance for nodules less than 4 mm in width. In these cases there was no difference among 1, 3 and 5 mm slices. Therefore, the voltage and thickness should not be reduced from 120 kV and 3 mm, respectively.
Punwani et al concluded that dose rate reduction is possible in the recognition of lung nodules with 4 mm in width. Our study verified their conclusion. This study showed 2 mm nodules not to be observed in 80 kV but in 120 kV, and none of the 1 mm nodules were noted in the whole study. The main constraint in Punwani et al’s study was applying just one slice which caused decreasing nodules recognition sensitivity, but our study represented that sequential slices lead to increment in power of small nodules recognition. Punwani et al showed that the existence of more than one nodule causes the first nodule to be noted by the second. This fact was verified in our research because locating the nodules in 3 parallel rows caused them to be noted beside each other. It can help diagnosis in clinical. In Punwani’s research the nodules’ location was not of importance in diagnosis but our survey approved its importance. It can be the continuant of Punwani’s study.
In Goodsitt et al’s survey, the man-made nodules were of carbonated calcium and epoxy with definite density located in a man-made phantom [7]. This study used phantom of acrylic-aluminum planes with cylinder-shaped nodules having different diameters inside the planes which were filled with carbonated calcium and definite density of epoxy. To obtain higher resolution, they have suggested applying tiny slices with a little interspace for detecting small nodules. It was revealed tinier slices with a little interspace have no significant effect on CT image resolution in large nodules (8-10 mm).
To reduce image noise in CT, Hiltz and Duzenli have recommended maximizing the X-ray tube voltage, and increase of the mean current, time and image number which adversely cause the heating of X-ray tube during imaging [8].
Using different mAs and a great number of images showed high mA (100 mA) in comparison with low mA (50 mA) has no considerable effect on image noise and resolution but on increasement of X-ray tube heat.
Conclusion
Based on this study voltage increasing was more effective than mA increasing in detecting of small nodules.
We concluded that increasing mA in high voltages had no significant effect on image quality and nodule detection but would considerably increase absorbed dose in patients. Therefore along with using high voltage to obtain better resolution, it is necessary to decrease mA for dose reduction.
The slice thickness was of little degree in detecting small nodules (less than 4 mm). It’s not reasonable to use small slice thicknesses, since it will be along with increasing patient dose to get a qualified image.
We observed that small calcified nodules (smaller than 4 mm) are not detectable in different kV and mA, and carbonated calcium is noted just in 6 mm nodules or the larger ones. Identifying the density of carbonated calcium depends on the nodule size because high densities of carbonated calcium are noted in 6-8 mm nodules but the 10 mm nodules show different densities.
Acknowledgment
This project has been supported by Tehran University of Medical Sciences
References
1. Samei, E., Stanton, A., Stebbins SA, Dobbins, JT.and Lo, JY. (2007), ‘Multiprojection Correlation Imaging for Improved Detection of Pulmonary Nodules,’ AJR 188, 1239-1245.
Publisher – Google Scholar
2. Punwani, S., Zhang, J., Wareen, D., Greenhalgh, R.and Humphries, P. (2008), ‘Paediatric CT: The Effects of Increasing Image Noiseon Pulmonary Nodule Detection,’ Pediatr Radiol38,192-201.
Publisher – Google Scholar
3. Li, T., Li, X., Wang, J., Wen, J., Lu, H., Hsieh, J. and Liang, Z. (2004),’Nonlinear Sinogram Smoothing for Low Dose X-Ray CT,’ IEEE Transactions on Nuclear Science 51, 2505-2513.
Publisher – Google Scholar
4. Imai, K., Ikeda, M., Wada, S., Enchi, Y.and Niimi, T. (2007),’Analysis of Streak Artefacts on CT Images Using Statistics of Extrems,’ The British Jornal of Radiology 80, 911-918.
Publisher – Google Scholar
5. Siegel, M., Schmidt, B., Bradley, D., Suess, C.and Hildebolt, C. (2004),’Radiation Dose and Imaging Quality in Pediatric CT: Effect of Technical Factors and Phantom Size and Shape,’ Radiology 233, 515-522.
Publisher – Google Scholar
6. Heyer, CM., Mohr, PS., Lemburg, SP. Peter, SA.and Volkmar, N. (2007),’Image quality and Radiation Exposure at Pulmonary CT Angiography with 100 or 120 kVp Protocol:Prospective Randomized Study,’ Radiology 245, 577-583.
Publisher – Google Scholar
7. Goodsitt, MM., Chan, HP., Way, TM., Larson, SC., Christodoulou, EG.and Kim, J. (2006),’Accuracy of the CT Numbers of Simulated Lung Nodules Imaged with Multi — Detector CT Scanners,’ NIH public Access- Med Phys 33, 3006-3017.
Publisher – Google Scholar
8. Hilts, M.and Duzenli, C. (2004),’Image Noise in X-ray CT Polymer Gel Dosimetry,’ Journal of Physics Conference Series 3, 252-256.
Publisher – Google Scholar