An education and training programme for radiological institutes: impact on the reduction of the CT radiation dose

Sebastian T Schindera, Reto Treier, Gabriel von Allmen, Claude Nauer, Philipp R Trueb, Peter Vock, Zsolt Szucs-Farkas, Sebastian T Schindera, Reto Treier, Gabriel von Allmen, Claude Nauer, Philipp R Trueb, Peter Vock, Zsolt Szucs-Farkas

Abstract

Objectives: To establish an education and training programme for the reduction of CT radiation doses and to assess this programme's efficacy.

Methods: Ten radiological institutes were counselled. The optimisation programme included a small group workshop and a lecture on radiation dose reduction strategies. The radiation dose used for five CT protocols (paranasal sinuses, brain, chest, pulmonary angiography and abdomen) was assessed using the dose-length product (DLP) before and after the optimisation programme. The mean DLP values were compared with national diagnostic reference levels (DRLs).

Results: The average reduction of the DLP after optimisation was 37% for the sinuses (180 vs. 113 mGycm, P < 0.001), 9% for the brain (982 vs. 896 mGycm, P < 0.05), 24% for the chest (425 vs. 322 mGycm, P < 0.05) and 42% for the pulmonary arteries (352 vs. 203 mGycm, P < 0.001). No significant change in DLP was found for abdominal CT. The post-optimisation DLP values of the sinuses, brain, chest, pulmonary arteries and abdomen were 68%, 10%, 20%, 55% and 15% below the DRL, respectively.

Conclusions: The education and training programme for radiological institutes is effective in achieving a substantial reduction in CT radiation dose.

References

    1. AJR Am J Roentgenol. 2005 Dec;185(6):1525-30
    1. AJR Am J Roentgenol. 2009 Apr;192(4):862-5
    1. Invest Radiol. 2008 Dec;43(12):871-6
    1. AJR Am J Roentgenol. 2008 Feb;190(2):273-4
    1. Radiology. 2008 Nov;249(2):661-70
    1. J Am Coll Radiol. 2010 Aug;7(8):614-24
    1. Radiology. 2011 Mar;258(3):889-905
    1. Radiology. 2010 May;255(2):508-16
    1. AJNR Am J Neuroradiol. 2009 Jan;30(1):155-9
    1. Radiology. 2004 Mar;230(3):619-28
    1. Invest Radiol. 2009 Dec;44(12):793-9
    1. AJR Am J Roentgenol. 2007 Feb;188(2):547-52
    1. Arch Intern Med. 2009 Dec 14;169(22):2071-7
    1. J Comput Assist Tomogr. 2006 May-Jun;30(3):391-7
    1. JAMA. 2009 Jun 10;301(22):2340-8
    1. Radiology. 2006 Dec;241(3):899-907
    1. Eur Radiol. 2011 Mar;21(3):505-9
    1. Invest Radiol. 2006 Jan;41(1):1-7
    1. N Engl J Med. 2007 Nov 29;357(22):2277-84
    1. AJR Am J Roentgenol. 2009 Sep;193(3):764-71
    1. Radiology. 2004 Aug;232(2):409-14
    1. AJNR Am J Neuroradiol. 2007 Oct;28(9):1628-32
    1. Radiology. 2004 Dec;233(3):649-57
    1. Eur Radiol. 2011 Jan;21(1):107-12
    1. AJR Am J Roentgenol. 2007 Apr;188(4):927-33
    1. AJR Am J Roentgenol. 2008 Feb;190(2):W100-5
    1. Radiologe. 2010 Dec;50(12):1120, 1122-7
    1. Radiology. 2007 Mar;242(3):832-9
    1. Radiology. 2010 Dec;257(3):601-2
    1. Radiographics. 2010 Mar;30(2):317-26
    1. Radiology. 2004 Sep;232(3):791-7
    1. Eur Radiol. 2008 Jun;18(6):1206-14
    1. Eur Radiol. 2005 Feb;15(2):334-41
    1. AJR Am J Roentgenol. 2005 Aug;185(2):509-15
    1. Eur Radiol. 2004 Feb;14(2):341-9
    1. Radiology. 2005 Dec;237(3):945-51
    1. Radiology. 2004 May;231(2):528-35
    1. Radiat Prot Dosimetry. 2010 Dec;142(2-4):244-54
    1. Radiology. 2010 Jan;254(1):145-53
    1. Invest Radiol. 2009 Oct;44(10):650-5
    1. Invest Radiol. 2008 Jun;43(6):447-52
    1. Radiology. 2008 Sep;248(3):995-1003
    1. Radiographics. 2006 Mar-Apr;26(2):503-12
    1. Radiology. 2007 Nov;245(2):577-83

Source: PubMed

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