LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,141
تعداد مقالات10,461
تعداد مشاهده مقاله44,820,568
تعداد دریافت فایل اصل مقاله10,657,114
Jalli, Reza, Zarei, Fariba, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Novshadi, Alireza, Iranpour, Pooya, Sefidbakht, Sepideh, Vardhan Chatterjee, Vani. (1401). Evaluation of Ultra-Low-Dose Chest CT Images to Detect Lung Lesions. سامانه مدیریت نشریات علمی, 13(2), 299-307. doi: 10.30476/mejc.2021.87355.1410
Reza Jalli; Fariba Zarei; Sabyasachi Chatterjee; Rezvan Ravanfar Haghighi; Alireza Novshadi; Pooya Iranpour; Sepideh Sefidbakht; Vani Vardhan Chatterjee. "Evaluation of Ultra-Low-Dose Chest CT Images to Detect Lung Lesions". سامانه مدیریت نشریات علمی, 13, 2, 1401, 299-307. doi: 10.30476/mejc.2021.87355.1410
Jalli, Reza, Zarei, Fariba, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Novshadi, Alireza, Iranpour, Pooya, Sefidbakht, Sepideh, Vardhan Chatterjee, Vani. (1401). 'Evaluation of Ultra-Low-Dose Chest CT Images to Detect Lung Lesions', سامانه مدیریت نشریات علمی, 13(2), pp. 299-307. doi: 10.30476/mejc.2021.87355.1410
Jalli, Reza, Zarei, Fariba, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Novshadi, Alireza, Iranpour, Pooya, Sefidbakht, Sepideh, Vardhan Chatterjee, Vani. Evaluation of Ultra-Low-Dose Chest CT Images to Detect Lung Lesions. سامانه مدیریت نشریات علمی, 1401; 13(2): 299-307. doi: 10.30476/mejc.2021.87355.1410

Evaluation of Ultra-Low-Dose Chest CT Images to Detect Lung Lesions

Middle East Journal of Cancer
مقاله 11، دوره 13، شماره 2 - شماره پیاپی 50، تیر 2022، صفحه 299-307    اصل مقاله (4.36 M)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/mejc.2021.87355.1410
نویسندگان
Reza Jalli1؛ Fariba Zarei1؛ Sabyasachi Chatterjee2؛ Rezvan Ravanfar Haghighi* 1؛ Alireza Novshadi1؛ Pooya Iranpour1؛ Sepideh Sefidbakht1؛ Vani Vardhan Chatterjee3
1Medical Imaging Research Center, Department of Radiology, Shiraz University of Medical Sciences, Shiraz, Iran
2Retired Scientist from Indian Institute of Astrophysics, Bangalore, India
3Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, India
چکیده
Background: The present study was conducted to examine the possibility of detecting different types of lung lesions, such as cancer, using ultra-low dose (ULD) chest computed tomography (CT) images.
Method: In this basic (experimental) study with CT images, 20 patients with different lung disease indications were scanned with ULD and routine dose chest CT protocols. ULD and routine dose CT images were reconstructed utilizing iDose and iterative model reconstruction. CT images were evaluated by two expert radiologists. Volume CT dose index (CTDIvol), dose length product, and effective dose were used for dose assessment in both protocols.
Results: CTDIvol and dose length product for ULD protocol were 98% less compared to those for routine chest CT. The chest CT images for ULD and routine dose were diagnosed as normal in three patients with lung lesions, such as nodules, masses, plural effusion, fibrosis, diffuse ground glass opacities, bronchiectasis, and infiltration, in 17 patients. Patient dose of ULD chest CT (0.11mSv) is comparable to Poster-Anterior plus Lateral (0.1 mSv) chest radiograph, while the effective dose due to routine chest CT is about 5.1 mSv.
Conclusion: Diagnostic findings regarding ULD chest CT images with 98% of dose reduction were compared to those for routine dose. We concluded that it may be utilized as a very useful tool for screening and the follow-up of different lung diseases, malignancy for instance. ULD chest CT with 98% of dose reduction could be a suitable substitute for chest radiograph, with higher diagnostic values.
کلیدواژه‌ها
Lung disease؛ Computed tomography؛ Ultra-low dose؛ Dose reduction
اصل مقاله

How to cite this article:

Jalli R, Zarei F, Chatterjee S, Ravanfar Haghighi R, Novshadi A, Iranpour P, et al. Evaluation of ultra-low-dose chest CT images to detect lung lesions. Middle East J Cancer. 2022;13(2):299-307. doi: 10.30476/mejc.2021.87355.1410.

مراجع
  1. Doria-Rose VP, White MC, Klabunde CN, Nadel MR, Richards TB, McNeel TS, et al. Use of lung cancer screening tests in the United States: results from the 2010 National Health Interview Survey. Cancer Epidemiol Biomarkers Prev. 2012;21(7):1049-59.doi:10.1158/1055-9965.EPI-12-0343.
  2. Singh S, Pinsky P, Fineberg NS, Gierada DS, Garg K, Sun Y, et al. Evaluation of reader variability in the interpretation of follow-up CT scans at lung cancer screening. Radiology. 2011;259(1):263-70.doi:10.1148/radiol.10101254.
  3. Elicker BM, Kallianos KG, Henry TS. The role of high-resolution computed tomography in the followup of diffuse lung disease: Number 2 in the Series "Radiology" Edited by Nicola Sverzellati and Sujal Desai. Eur Respir Rev. 2017;26(144):170008. doi:10.1183/16000617.0008-2017.
  4. Wang Y, Dong C, Hu Y, Li C, Ren Q, Zhang X, et al. Temporal changes of CT findings in 90 patients with COVID-19 pneumonia: A longitudinal study. Radiology. 2020;296(2):E55-E64. doi:10.1148/radiol. 2020200843.
  5. Radiological Society of North America. [Internet] CT provides best diagnosis for COVID-19. [Cited at February 26, 2020] Available at: https://www.sciencedaily.com/releases/2020/02/200226151951.htm
  6. Bindman RS, Lipson J, Marcus R, Kim KP, Mahesh M, Gould R, et al. Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer. Arch Intern Med. 2009;169(22):2078-86. doi:10.1001/archinternmed.2009.427.
  7. Goldman LW. Principles of CT: Radiation dose and image quality. J Nucl Med Technol. 2007;53:213-25.doi: 10.2967/jnmt.106.037846.
  8. Padole A, Ali Khawaja RD, Kalra MK, Singh S. CT radiation dose and iterative reconstruction techniques. AJR Am J Roentgenol. 2015;204(4):W384-W392. doi:10.2214/AJR.14.13241.
  9. Qi-Shun L, Chang-Hong L, Zai-yi L, Mei-Ping H, Jing-Lei L, HUI L, et al. Application of IMR, iDose4 and FBP algorithms in image reconstruction from data of coronary CT angiography in miniature pigs under different tube voltages. In: European Congress of
    2014; Poster No.: C-0147. doi:10.1594/ecr2014/C-0147.
  10. Kroft LJM, van der Velden L, Girón IH, Roelofs JJH, de Roos A, Geleijns J. Added value of ultra-low-dose computed tomography, dose equivalent to chest x-ray radiography, for diagnosing chest pathology. J Thorac Imaging. 2019;34(3):179-86. doi:10.1097/RTI.0000000000000404.
  11. Huber A, Landau J, Ebner L, Butikofer Y, Leidolt L, Brela B, et al. Performance of ultralow- dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X- ray imaging. Eur Radiol. 2016;26(10):3643-52. doi:10.1007/s00330-015-4192-3.
  12. Jin S, Zhang B, Zhang L, Li S, Li S, Li P. Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT. Quant Imaging Med Surg. 2018;8(5):480-90.doi:10.21037/qims.2018.06.05.
  13. Fujita M, Higaki T, Awaya Y, Nakanishi T, Nakamura Y, Tatsugami F, et al. Lung Cancer screening with ultra-low dose CT using full iterative reconstruction. Jpn J Radiol. 2017;35(4):179-89. doi:10.1007/s11604-017-0618-y.
  14. Tammemagi MC, Lam S. Screening for lung cancer using low dose computed tomography. BMJ. 2014;348:g2253. doi:10.1136/bmj.g2253.
  15. Wang R, Sui X, Schoepf UJ, Song W, Xue H, Jin Z, et al. Ultralow-radiation-dose chest CT: accuracy for lung densitometry and emphysema detection. AJR Am J Roentgenol. 2015;204(4):743-9. doi:10.2214/AJR.14.13101.
  16. Huda W, Ogden KM, Khorasani MR. Converting doselength product to effective dose at CT. Radiology. 2008;248(3):995-1003. doi:10.1148/radiol.2483071964.
  17. Deak PD, Smal Y, Kalender WA. Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product. Radiology. 2010;257(1):158-66. doi:10.1148/radiol.10100047.
  18. Frieden RB. Probability, statistical optics and data testing. Berlin: Springer; 2001.
  19. Paydar R, Takavar A, Kardan MR, Babakhani A, Deevband MR, Saber S. Patient effective dose evaluation for chest X-ray examination in three digital radiography centers. Iran. J Radiat Res. 2012;10(3-4): 139-43.
  20. Yu L, Liu X, Leng S, Kofler JM, Giraldo JCR, Qu M, et al. Radiation dose reduction in computed tomography: techniques and future perspective. Imaging Med. 2009;1(1):65-84. doi:10.2217/iim.09.5.
  21. Alsleem H, Davidson R. Factors affecting contrastdetail performance in computed tomography: A review. J Med Imaging Radiat Sci. 2013;44(2):62-70.doi:10.1016/j.jmir.2012.12.001.
  22. Khan AN, Khosa F, Shuaib W, Nasir K, Blankstein R, Clouse M. Effect of tube voltage (100 vs. 120 kVp) on radiation dose and image quality using prospective gating 320 row multi-detector computed tomography angiography. J Clin Imaging Sci. 2013;3:62. doi:10.4103/2156-7514.124092.
  23. Seyal AR, Arslanoglu A, Abboud SF, Sahin A, Horowitz JM, Yaghmai V. CT of the abdomen with reduced tube voltage in adults: A practical approach. Radiographics. 2015;35(7):1922-39. doi:10.1148/rg.2015150048.
  24. Boone JM, Seibert JA. An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV. Med Phys. 1997;24(11):1661-70. doi:10.1118/1.597953.
  25. Hamersvelt RWV, Eijsvoogel NG, Mihl C, Jong PAD, Schilham AMR, Buls N, et al. Contrast agent concentration optimization in CTA using low tube voltage and dual-energy CT in multiple vendors: a phantom study. Int J Cardiovasc Imaging. 2018;34(8):
    1265-75. doi:10.1007/s10554-018-1329-x.
  26. Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011;365:395-409. doi:10.1056/NEJ Moa1102873.
  27. Paks M, Leong P, Einsiedel P, Irving LB, Steinfort DP, Pascoe DM. Ultralow dose CT for follow-up of solid pulmonary nodules: A pilot single-center study using Bland-Altman analysis. Medicine (Baltimore). 2018;97(34):e12019. doi:10.1097/MD.00000000
  28. Dangis A, Gieraets C, Bruecker YD, Janssen L, Valgaeren H, Obbels D, et al. Accuracy and reproducibility of low-dose submillisivert chest CT for the diagnosis of COVID-19. Radiology: Cardiothoracic Imaging. 2020;2(2). doi:10.1148/ryct.2020200196.
آمار
تعداد مشاهده مقاله: 3,416
تعداد دریافت فایل اصل مقاله: 2,887


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب