JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2017, Vol. 55 ›› Issue (7): 110-114.doi: 10.6040/j.issn.1671-7554.0.2016.1358

Previous Articles     Next Articles

Evaluation and analysis of the physical factors for the twinkling artifact: a preliminary study

WANG Meng1, WANG Cheng1, ZHANG Yingchun1, LI Jie2, SUN Xiao2, SHI Dandan2, SHANG Mengmeng2, NING Song2   

  1. 1. Ultrasonic Imaging Center, the Second Affiliated Hospital of Soochow Univesity, Suzhou 215004, Jiangsu, China;
    2. Department of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Received:2015-12-31 Online:2017-07-10 Published:2017-07-10

Abstract: Objective To evaluate the value of ultrasonic characteristics, the roughness of the urinary stones and machine settings in the formation of the twinkling artifact. Methods Constructing the experimental model by the sandpaper and the urinary stones respectively. In the sandpaper model part, ultrasonic output characteristics were changed by regulating the mechanical index in the IU 22 machine and the ultrasonic angle; the intensity of the twinkling artifact were compared and evaluated seperately by the correlation analysis and paired t test respectively. In the urinary stone model part, the stones were divided into the rough group, the mid-rough group and the smooth group according to the difference of the surface roughness. The display of the twinkling artifact in different groups were compared under the diverse conditions including the default and optimized settings by repeated measures ANOVA, and the correlation analysis was performed between the twinkling artifact intensity and the roughness. Results In the sandpaper model part, the intensity of the color Doppler twinkling artifact was in obvious proportion with the mechanical index(r=0.938, P<0.001). And when the Doppler angle of the color box was tilted, the number of the color pixels in the scanning 山 东 大 学 学 报 (医 学 版)55卷7期 -王蒙,等.彩色多普勒闪烁伪像相关物理因素的评估分析 \=-condition decreased significantly(P<0.05). In the urinary stone model part, there existed significant difference among different groups and obvious interaction between the urinary stone roughness and the machine settings on the twinkling artifact intensity(P<0.001). The twinkling artifact intensity was improved under the optimized machine settings compared with that of the default conditions in the urinary stones with the same roughness. However, under the same machine settings, a direct proportion relationship was found between the twinkling artifact intensity and the urinary stone roughness with the coefficient being 0.80 and 0.83 respectively(P<0.001). Conclusion Both the sandpaper phantom and urinary stone phantom showed that the formation of the twinkling artifact are affected by the ultrasonic charateristic index, the surface roughness of the urinary stones and the machine settings. Grasping the related factors on the intensity of the twinkling artifact was useful for its clinical applications.

Key words: Twinkling artifact, Model, Physical factors, Evaluation

CLC Number: 

  • R574
[1] Rahmouni A, Bargoin R, Herment A, et al. Color Doppler twinkling artifact in hyperechoic regions[J]. Radiology, 1996, 199(1): 269-271.
[2] Kielar AZ, Shabana W, Vakili M, et al. Prospective evaluation of Doppler sonography to detect the twinkling artifact versus unenhanced computed tomography for identifying urinary tract calculi[J]. J Ultrasound Med, 2012, 31(10): 1619-1625.
[3] Sharma G, Sharma A. Clinical implications and applications of the twinkling sign in ureteral calculus: a preliminary study[J]. J Urol, 2012, 189(6): 2132-2135.
[4] Abdel-Gawad M, Kadasne R, Elsobky E. Correlation between twinkling artifact of color doppler ultrasound and helical CT in diagnosis of ureteral stones[J]. J Urol, 2014, 191(4): e52.
[5] Sen V, Imamoglu C, Kucukturkmen I, et al. Can Doppler ultrasonography twinkling artifact be used as an alternative imaging modality to non-contrast-enhanced computed tomography in patients with ureteral stones? A prospective clinical study[J]. Urolithiasis, 2016[Epub ahead of print] , doi: 10.1007/s00240-016-0891-8.
[6] Masch WR, Cohan RH, Ellis JH, et al. Clinical Effectiveness of prospectively reported sonographic twinkling artifact for the diagnosis of renal calculus in patients without known urolithiasis[J]. Am J Roentgenol, 2016, 206(2): 326-331.
[7] Hammad AY, Miura JT, Turaga KK, et al. A literature review of radiological findings to guide the diagnosis of gallbladder adenomyomatosis[J]. HPB, 2016, 189(2): 129-135.
[8] Joo I, Lee JY, Kim JH, et al. Differentiation of adenomyomatosis of the gallbladder from early-stage, wall-thickening-type gallbladder cancer using high-resolution ultrasound[J]. Euro Radio, 2013, 23(3): 730-738.
[9] Reuben CM, Jeun B, Juluru K. Sonographic twinkling artifact in a renal graft with prolene mesh[J]. J Ultrasound Med, 2010, 29(6): 1011-1013.
[10] Girish G, Caoili EM, Pandya A, et al. Usefulness of the twinkling artifact in identifying implanted mesh after inguinal hernia repair[J]. J Ultrasound Med, 2011, 30(8): 1059-1065.
[11] Wang M, Li J, Xiao J, et al. Systematic analysis of factors related to display of the twinkling artifact by a phantom: an optimized investigation[J]. J Ultrasound Med, 2011, 30(11): 1449-1457.
[12] Kamaya A, Abate S, Nan B, et al. Characterization of a linear streak artifact with pulse inversion tissue harmonics in musculoskeletal sonography[J]. J Ultrasound Med, 2004, 23(12): 1597-1605.
[13] Aytac SK, Ozcan H. Effect of color Doppler system on the twinkling sign associated with urinary tract calculi[J]. J Clin Ultrasound, 1999, 27(8): 433-439.
[14] Zelesco M. The impact of scanning factors on the twinkle artifact in colour Doppler[J]. J Med Imag Radiat Oncol, 2009, 53: A5.
[15] Gao J, Hentel K, Rubin JM. Correlation between twinkling artifact and color doppler carrier frequency: preliminary observations in renal calculi[J]. Ultrasound Med Biol, 2012, 38(9): 1534-1539
[16] Cunitz B, Dunmire B, Paun M. Improved detection of kidney stones using an optimized doppler imaging sequence[J]. IEEE Int Ultrason Symp, 2014, 2014: 452-455
[17] Dillman JR, Kappil M, Weadock WJ, et al. Sonographic twinkling artifact for renal calculus detection: correlation with CT[J]. Radiology, 2011, 259(3): 911-916.
[18] Yanik B, Conkbayir I, Cakmakci E, et al. Color Doppler twinkling artifact in a calcified liver mass[J]. J Clin Ultrasound, 2005, 33(9): 474-476.
[19] Zhao BW, Yang Y, Pan M, et al. Color Doppler twinkling artifact in fetuses with echogenic intracardiac foci: echocardiographic observation and clinical significance[J]. Ultrasound Obstet Gynecol, 2010, 35(5): 548-551.
[20] Tsujimoto F. Microcalcifications in the breast detected by a color Doppler method using twinkling artifacts: some important discussions based on clinical cases and experiments with a new ultrasound modality called multidetector-ultrasonography(MD-US)[J]. J Med Ultrason, 2014, 41(1): 99-108.
[21] OFlynn EA,Sidhu PS. The sonographic twinkling artifact in testicular calcification[J]. J Ultrasound Med, 2009, 28(4): 515-517.
[22] Serter S, Orguc S, Gumus B, et al. Doppler sonographic findings in testicular microlithiasis[J]. International Braz J Urol, 2008, 34(4): 477-482.
[23] Chelfouh N, Grenier N, Higueret D, et al. Characterization of urinary calculi: in vitro study of “twinkling artifact” revealed by color-flow sonography[J]. Am J Roentgenol, 1998, 171(4): 1055-1060.
[24] 刘青,李杰,孙霄,等.彩色多普勒闪烁伪像对泌尿系含钙结石诊断价值的实验研究[J].中华超声影像学杂志,2015, 24(1): 70-73. LIU Qing, LI Jie, SUN Xiao, et al. Diagnostic value of color Doppler twinkling artifact and in urinary calcium stones:an in vitro experiment[J]. Chin J Ultrasonogr, 2015, 24(1): 70-73.
[25] 孙霄,李杰,商蒙蒙,等.应用彩色多普勒闪烁伪像和CT分析尿酸结石和胱氨酸结石成分的实验研究[J].中华超声影像学杂志, 2015, 24(2): 164-167. SUN Xiao, LI Jie, SHANG Mengmeng, et al. Value of color Doppler twinkling artifact and CT in distinguishing uric acid stones from cystine stones:an experimental study[J]. 2015, 24(2): 164-167.
[26] Kim HJ, Lee JY, Jang JY, et al. Color Doppler twinkling artifacts from gallstones: in vitro analysis regarding their compositions and architectures[J]. Ultrasound Med Biol, 2010, 36(12): 2117-2122.
[27] Tsao TF, Tyan YS, Kang RJ, et al. Correlation study of the strength of the color Doppler twinkling artifact with the roughness of the reflecting surface and the Doppler angles[J]. J Med Ultrasound, 2004, 12(4): 119-124.
[1] ZHAO Li-Xing, SONG Dai-Hui, WEI Kui-Jie, YIN Kai. An animal model of osteoarthritis on the temporomandibular joint [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2209, 47(6): 25-27.
[2] XIAO Yufei, FENG Jianing, WANG Xiaoxuan, MAO Qian, SHI Fuyan, WANG Suzhen. Prediction of the prognosis of 312 cirrhosis patients using the joint models and database [J]. Journal of Shandong University (Health Sciences), 2020, 1(9): 71-76.
[3] LU Zilong, FU Zhentao, DU Enqing, XU Chunxiao, ZHANG Jiyu, CHU Jie, ZHANG Bingyin, WU Bingyi, GUO Xiaolei. A study on self-reported health-adjusted life expectancy of adults in Shandong Province, 2018 [J]. Journal of Shandong University (Health Sciences), 2020, 1(9): 83-88.
[4] Jian WANG,Wenjing ZHOU,Zhiyi XUE,Xiaofei LIU. Overview of glioblastoma models and development and application of brain organoids [J]. Journal of Shandong University (Health Sciences), 2020, 1(8): 74-80.
[5] Xingang LI,Xin ZHANG,Anjing CHEN. The latest advances in human brain projects [J]. Journal of Shandong University (Health Sciences), 2020, 1(8): 5-9, 21.
[6] SHI Shuang, LI Juan, MI Qi, WANG Yunshan, DU Lutao, WANG Chuanxin. Construction and application of a miRNAs prognostic risk assessment model of gastric cancer [J]. Journal of Shandong University (Health Sciences), 2020, 1(7): 47-52.
[7] DENG Qingwen, LIU Wenbin. Multilevel analysis of health related quality of life of patients with cardiovascular disease and its determinants [J]. Journal of Shandong University (Health Sciences), 2020, 1(7): 115-121.
[8] KANG Xiaofei, FANG Yueyan, ZHAO Di, FENG Xiujuan, LI Ping. Mediating role of perceived stress on the relationship between mindfulness level and psychological distress among infertile women [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(9): 105-109.
[9] HU Yujing, WU Dayong, ZHANG Wenyan, BIAN Yanzhu, WEI Qiang, TIAN Congna, CHANG Shengli. Correlation between 99Tcm-MNLS hypoxic scintigraphy and hypoxia-inducible factor-1α after radiotherapy [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(8): 30-34.
[10] YIN Ni, YANG Guanlin, JIANG Junwen, WANG Chuntian, WANG Fengyao, JIA Lianqun, GAO Xiaoyu, PAN Jiaxiang, LI Qin, LI Jia, FENG Yuanjie, GAO Yuzhu, ZHOU He, ZHANG Zhe. A reliable system to assess atherosclerosis model of Bama minipigs [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(7): 1-5.
[11] ZENG Haiyan, LI Rui, SUN Xindong, XIE Peng, MENG Xue, FAN Bingjie, LI Wanlong, YUAN Shuanghu. Association analysis of brain metastases after prophylactic cranial irradiation in local disease small cell lung cancer: a bicenter study [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(7): 61-66.
[12] CAO Jin, JI Xiaokang, SUN Xiubin, JIANG Zheng, XUE Fuzhong. The relationship between γ-glutamyltransferase and hyperuricemia: a cohort study [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(6): 124-128.
[13] WANG Jintao, SU Ping, YUAN Zhongshang, XUE Fuzhong. Sub-distribution hazard model and its applications in health risk assessment [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(6): 37-41.
[14] WANG Tingting, WANG Jintao, YUAN Zhongshang, SU Ping, XUE Fuzhong. Cause-specific hazard model and its applications in health risk assessment [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(6): 42-46.
[15] LI Jiqing, ZHAO Huanzong, SONG Binghong, ZHANG Lichun, LI Xiangyi, CHEN Yafei, WANG Ping, XUE Fuzhong. Risk prediction model of cardiovascular disease based on health management cohort [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(6): 56-60.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!