Study of the correlation between CT image quality and radiation doses of lung nodules with different scanning parameters_Chinese Journal of Evidence-Based Medicine

Authors：

PENG Shengkun , ZHAO Yuan ,  PU Hong

Department of Radiology, Sichuan Province of People’s Hospital, Chengdu, 610000, P.R.China;

Corresponding?author：

PU Hong, Email: ph1726148853@qq.com

Keywords：

Low dose; Phantom; Pulmonary nodule; Computed tomography; Image quality; Radiation dose

DOI：

10.7507/1672-2531.201901003

Video：

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Objectives To investigate the influence of scanning parameters (tube voltages and tube currents) on image quality and corresponding radiation doses with simulated lung nodules in chest CT.Methods The anthropomorphic chest phantoms with 12 simulated, randomly placed nodules of different diameters and densities in the chest were scanned by different scanning parameters. The detection rate, degree of nodular deformation, image quality (with both subjective and objective evaluation) and the corresponding radiation doses were recorded and evaluated, and the correlation between nodule detection rate, degree of nodular deformation, radiation dose and image quality using different scanning parameters was analyzed.Results The image quality improved with the increase of tube voltage and tube current (P<0.05). When the tube current was constant, the CT values of the vertebral decreased gradually with the increase of tube voltages (P<0.05); however, significant difference was not detected in CT values of the lung field (P>0.05). When the tube current was 100 mAs, the lung nodules with CT values of +100 HU and ?630 HU showed statistical difference when using different tube voltage (P<0.05); but there was no significant difference in nodules of ?800 HU (P=0.57). When tube voltage was 100 kV and 120 kV each, it was possible to detect all lung nodules with a detection rate of 100%. The detection rate was 33% and 66% in 3 mm diameter when the tube current was 80 kV/15 mA and 80 kV/20 mA, respectively. The nodules deformation in nodules with a CT value of ?630 HU and diameter less than 5 mm was the most prominent (P<0.05). After analyzing the relationship between image quality and radiation doses using different tube voltages, we established a system of correlation equations: 80 kV: Y=2.625X+0.038; 100 kV: Y=14.66X+0.158; 120 kV: Y=18.59X+0.093.Conclusions The image quality improves with the increase of tube current and tube voltage, as well as the corresponding radiation doses. By reducing the tube voltage and increasing the tube current appropriately, the radiation doses can be reduced. Follow-up CT examination of pulmonary ground glass nodules should apply the same tube voltage imaging parameters, so as to effectively reduce the measurement error of nodule density and evaluate the change of nodules more accurately.

Citation： PENG Shengkun, ZHAO Yuan, PU Hong. Study of the correlation between CT image quality and radiation doses of lung nodules with different scanning parameters. Chinese Journal of Evidence-Based Medicine, 2019, 19(10): 1158-1162. doi: 10.7507/1672-2531.201901003 Copy

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17.	鄒平, 薛躍君. 64 排螺旋 CT 雙下肢血管成像低電壓掃描的初步研究. 臨床放射學雜志, 2013, 32(9): 1340-1342.
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1. 周清華, 范亞光, 王穎. 中國肺癌低劑量螺旋 CT 篩查指南(2018 年版). 中國肺癌雜志, 2018, 21(2): 67-75.
2. 張麗, 于紅, 劉士遠, 等. 迭代重建技術對低劑量肺部平掃 CT 圖像質量的影響. 中華放射醫學雜志, 2013, 47(4): 316-320.
3. 蔣耀軍, 吳艷, 張永高, 等. 低管電流聯合迭代重建算法對胸部體模 T12 骨密度值準確性和胸部圖像質量的影響. 中國醫學影像技術雜志, 2018, 34(3): 429-433.
4. 彭盛坤, 曾勇明, 羅天友, 等. 冠狀動脈 CTA 迭代重建算法圖像質量和輻射劑量的實驗研究. 第三軍醫大學學報, 2013, 35(13): 1371-1375.
5. 李瑩, 艾娜娜, 張穎穎, 等. 前置自適應統計迭代重建技術對體模肺純磨玻璃結節圖像質量及輻射劑量的影響. 中國醫學影像技術, 2018, 34(5): 775-778.
6. Ebeah JM. Lung cancer screening with low-dose ct in the united states. J Am Coli Radiol, 2015, 12(12 Pt B): 1395-1402.
7. Eberth JM, Qiu R, Admns SA, et al. Lung cancer screening using low-dose CT: The current national landscape. Lung Cancer, 2014, 85(3): 379-384.
8. 李瓊于紅張麗, 等. 迭代重建技術對低管電壓胸部 CT 增強掃描圖像質量的影響. 實用放射學雜志, 2012, 28(10): 1615-1618.
9. MacMahon H, Naidich DP, Goo JM, et al. Guidelines for management of incidental pulmonary nodules detected on ct images: from the Fleischner Society 2017. Radiology, 2017, 284(1): 228-243.
10. Aoki T, Nakata H, Watanabe H, et al. Evolution of peripheral lung adenocarcinomas: CT findings correlated with histology and tumor doubling time. AJR Am J Roentgenol, 2000, 174(3): 763-768.
11. Sone S, Li F, Yang ZG, et al. Characteristic of small lung cancers invisible on conventional chest radiography and detected by population based screening using spiral CT. Br J Radiol, 2000, 73(866): 137-145.
12. Sui X, Meinel F G, Song W, et al. Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT. Eur J Radiol, 2016, 85(3): 564-570.
13. Messerli M, Kluckert T, Knitel M, et al. Ultralow dose CT for pulmonary nodule detection with chest X-ray equivalent dose a prospective intra-individual comparative study. Eur Radiol, 2017, 27(8): 3290-3299.
14. 葉凱, 袁慧書. 超低劑量 CT 在胸部疾病診斷的研究進展. 實用放射學雜志, 2018, 34(4): 621-623.
15. Maffei E, Martini C, Rossi A, et al. Diagnostic accuracy of second-generation dual-source computed tomography coronary angiography with iterative reconstructions: a real-world experience. Radiol Med, 2012, 117(5): 725-738.
16. 李鋒坦, 李東, 張云亭. 管電壓對 CT 值測量、輻射劑量及圖像質量影響的模型研究. 中華放射學雜志, 2013, 47(5): 458-461.
17. 鄒平, 薛躍君. 64 排螺旋 CT 雙下肢血管成像低電壓掃描的初步研究. 臨床放射學雜志, 2013, 32(9): 1340-1342.
18. 江一峰, 葉劍定, 丁曉毅, 等. 胸部低劑量 CT 圖像噪聲和偽影分析. 中華放射學雜志, 2010, 44(1): 37-40.
19. 江一峰, 葉劍定, 丁曉毅, 等. 64 層螺旋 CT 低劑量掃描檢測肺小結節敏感性的實驗研究. 實用放射學雜志, 2010, 26(1): 115-119.

Chinese Journal of Evidence-Based Medicine

Study of the correlation between CT image quality and radiation doses of lung nodules with different scanning parameters

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