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Analysis of Image Quality According to BMI of Digital Chest Radiography: Focusing on Bureau of Radiological Health Evaluation

디지털 흉부 방사선 영상의 체질량지수에 따른 영상품질 분석: 미국 방사선 안전국 규정 평가표 중심으로

  • Jin, Seong-jin (Gammaknife center, Inje University Haeundae Paik Hospital) ;
  • Im, In-Chul (Department of Radiological Science, Dongeui University) ;
  • Cho, Ji-Hwan (Department of Health Care Clinic, Inje University Busan Paik Hospital)
  • 진성진 (인제대학교 해운대백병원) ;
  • 임인철 (동의대학교 방사선학과) ;
  • 조지환 (인제대학교 부산백병원)
  • Received : 2017.01.26
  • Accepted : 2017.03.25
  • Published : 2017.03.31

Abstract

Visual evaluation of chest radiograph images is the most practical and effective method. This study compared the Body Mass Index, waist circumference, and mAs with chest radiographs of 351 women. The Bureau of Radiological Health method was used to evaluate the image quality of chest X-ray images by anatomical and physical methods. The average age of the subjects was $30.17{\pm}4.73$ and the average waist circumference was $66.91{\pm}4.67cm$. The mean Body Mass Index value was $20.21{\pm}2.23$, the mean value of mAs was $3.04{\pm}0.78$, and the mean value of Bureau of Radiological Health was $79.83{\pm}8.45$. When the Body Mass Index value increased, waist circumference and mAs mean value increased. The mean value of Body Mass Index was statistically significant(p<0.05) in Group 4 compared to Groups 1 and 2, with increasing Body Mass Index. Exposure control of the automatic exposure control system is considered to be well performed according to body thickness or Body Mass Index at the time of chest radiography. As the Body Mass Index increases, the thickness of the body increases and the breast thickness of the woman also increases. Therefore, it is considered that the exposure amount is changed by the automatic exposure control device to affect the image quality.

흉부방사선 영상의 평가는 시각에 의한 사진평가가 가장 실용적이고 효과적인 방법으로 알려져 있다. 미국 방사선 안전국 규정 평가표(Bureau of Radiological Health, BRH)는 흉부방사선 영상의 해부학적 평가와 물리적 평가를 합하여 평가하는 효율적인 영상 평가방법이다. 본 연구는 여성 351명의 흉부방사선 영상을 체질량지수(Body Mass Index, BMI)와 허리둘레, 관전류량(mAs)과의 관계를 비교하고, 미국 방사선 안전국 규정 평가표를 사용하여 흉부 방사선 영상품질평가를 시행하였다. 대상자의 평균 연령은 $30.17{\pm}4.73$세이고, 허리둘레는 평균 $66.91{\pm}4.67cm$이었다. 체질량지수 값의 평균은 $20.21{\pm}2.23$으로 나타났으며, 전체 대상자의 관전류량 평균값은 $3.04{\pm}0.78$이고, 미국 방사선 안전국 규정 평균값은 $79.83{\pm}8.45$이었다. 허리둘레가 커질수록 관전류량 값이 증가함으로 나타났으며, 체질량지수가 커질수록 mAs값도 증가하였다. 연구대상자의 허리둘레, 관전류량, 미국 방사선 안전국 규정 값은 체질량지수 값이 커지면 허리둘레와 관전류량 평균값이 증가하였고, 미국 방사선 안전국 규정 값은 체질량지수가 높은 그룹이 낮은 그룹에 비하여 상대적으로 낮게 나타났으며, 통계적으로 유의하였다. 흉부검사 시 피검자의 신체두께나 체질량지수에 따라 자동노출제어 장치의 노출제어가 적절히 잘 이루어진 것으로 생각되며, 체질량지수가 증가할수록 신체두께가 커지고 또한 여성의 유방 두께도 증가하여 자동노출제어 장치에 의한 노출량이 변화되어 영상품질에 영향을 미치는 것으로 생각되어진다.

Keywords

References

  1. Veldkamp WJ, Kroft LJ, Geleijns J: Dose and perceived image quality in chest radiography, European Journal of Radiology 72(2), 209-17, 2009 https://doi.org/10.1016/j.ejrad.2009.05.039
  2. Dae-Hun Kim, Seong-Jin Ko, Se-Sik Kang, Jung-Hoon Kim, Changsoo Kim: Computer-Aided Diagnosis for Pulmonary Tuberculosis using Texture Features Analysis in Digital Chest Radiography, Journal of the Korea Contents Association, 11(11), 185-193, 2011 https://doi.org/10.5392/JKCA.2011.11.11.185
  3. Young-Cheol Joo, Cheong-Hwan Lim, In-Gyu You, Hong-Ryang Jung, Sang-Ho Lee: Adequacy of Source to Image Receptor Distance with Chest Postero-Anterior Projection in Digital Radiology System, Journal of Radiological Science and Technology, 39(2), 135-142, 2016 https://doi.org/10.17946/JRST.2016.39.2.01
  4. Teeuwisse W, Geleijns J, Veldkamp WJ: An inter-hospital comparison of patient dose based on clinical indications, European Radiology, 17(7), 1795-1805, 2007 https://doi.org/10.1007/s00330-006-0473-1
  5. McAdams HP, Samei E, Dobbins J, Tourassi GD, Ravin CE: Recent advances in chest radiography. Radiology, 241(3), 663-683, 2006 https://doi.org/10.1148/radiol.2413051535
  6. Daffner R: Clinical radiology: the essentials. 2nd edition. Baltimore, Williams & Wilkins, 1999
  7. Bo-ram Park, Dong-wook Sung: A Comparative Study of Image Quality and Radiation Dose with Changes in Tube Voltage and Current for a Digital Chest Radiography, Journal of the Korean Society of Radiology, 62(2), 131-137, 2010 https://doi.org/10.3348/jksr.2010.62.2.131
  8. Berrington de Gonzalez A, Darby S. Risk of cancer from diagnostic X-rays: estimates for the UK and 14 other countries: Lancet, 363(9406), 345-351, 2004 https://doi.org/10.1016/S0140-6736(04)15433-0
  9. Sung-Soo Kim, Jong-Sun Hwang, Kang-Bok Lee, et al: Experimental Study of Physical Density and Visual Evaluation in Chest Radiography, Journal of Radiological Science and Technology, 16(1), 81-87, 1993
  10. Cameron JR: Alter AJ, Optimization of Chest Radiography : Proceedings of a Symposium Held at Madison, Wisconsin Roc kville, Elsevier, 237-248, 1980
  11. Fukui R, Ishii R, Kodani K, et al: Evaluation of a Noise Reduction Procedure for Chest Radiograp hy, Yonago Acta Medica, 56(4), 85-91, 2013
  12. Ullman G, Sandborg M, Dance DR, Hunt R, Carlsson GA: The influence of patient thickness and imaging system on patient dose and physical image quality in digital chest imaging, Radiation Protection Dosimetry, 114(1-3), 294-297, 2005 https://doi.org/10.1093/rpd/nch542
  13. Choon-ik Lee, Choon-sik Lee, Wesley E Bolch: Age-dependent organ and effective dose coefficients for external photons: a comparison of stylized and voxel-based paediatric phantoms, Physics in medicine and Biology, 51(18), 4663-4688, 2006 https://doi.org/10.1088/0031-9155/51/18/014
  14. Martin Uffmanna, Cornelia Schaefer Prokop: Digital radiography : The balance between image quality and required radiation dose, European Journal of Radiology, 72, 202-208, 2009 https://doi.org/10.1016/j.ejrad.2009.05.060
  15. C.J. Tung, C.J. Lee, H.Y. Tsai, S.F. Tsai, I.J. Chen: Body size-dependent patient effective dose for diagnostic radiography, Radiation Measurements, 43(2-6), 1008-1011, 2008 https://doi.org/10.1016/j.radmeas.2007.11.028