Skip to main content
Log in

Radiation dose exposure in patients affected by lymphoma undergoing repeat CT examinations: how to manage the radiation dose variability

  • COMPUTED TOMOGRAPHY
  • Published:
La radiologia medica Aims and scope Submit manuscript

Abstract

Purpose

To assess the variability of radiation dose exposure in patients affected by lymphoma undergoing repeat CT (computed tomography) examinations and to evaluate the influence of different scan parameters on the overall radiation dose.

Materials and methods

A series of 34 patients (12 men and 22 women with a median age of 34.4 years) with lymphoma, after the initial staging CT underwent repeat follow-up CT examinations. For each patient and each repeat examination, age, sex, use of AEC system (Automated Exposure Control, i.e. current modulation), scan length, kV value, number of acquired scans (i.e. number of phases), abdominal size diameter and dose length product (DLP) were recorded. The radiation dose of just one venous phase was singled out from the DLP of the entire examination. All scan data were retrieved by our PACS (Picture Archiving and Communication System) by means of a dose monitoring software.

Results

Among the variables we considered, no significant difference of radiation dose was observed among patients of different ages nor concerning tube voltage. On the contrary the dose delivered to the patients varied depending on sex, scan length and usage of AEC. No significant difference was observed depending on the behaviour of technologists, while radiologists’ choices had indirectly an impact on the radiation dose due to the different number of scans requested by each of them.

Conclusions

Our results demonstrate that patients affected by lymphoma who undergo repeat whole body CT scanning may receive unnecessary overexposure. We quantified and analyzed the most relevant variables in order to provide a useful tool to manage properly CT dose variability, estimating the amount of additional radiation dose for every single significant variable. Additional scans, incorrect scan length and incorrect usage of AEC system are the most relevant cause of patient radiation exposure.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Brenner DJ (2004) Estimated radiation risks potentially associated with full body CT screening. Radiol 232:735–738

    Article  Google Scholar 

  2. Lell MM, Wildberger JE, Alkadhi H, Damilakis J, Kachelriess M (2015) Evolution in computed tomography: the battle for speed and dose. Invest Radiol 50(9):629–644

    Article  PubMed  Google Scholar 

  3. Furlow B (2010) Radiation dose in computed tomography. Radiol Technol 81(5):437–450

    PubMed  Google Scholar 

  4. Brenner DJ (2010) Should we be concerned about the rapid increase in CT usage? Rev Environ Health 25(1):63–68

    Article  PubMed  Google Scholar 

  5. Miglioretti DL, Johnson E, Williams A, Greenlee RT, Weinmann S, Solberg LI, Feigelson HS, Roblin D, Flynn MJ, Vanneman N, Smith-Bindman R (2013) The use of computed tomography in pediatrics and the associated radiation exposure and estimated cancer risk. JAMA Pediatr 167(8):700–707

    Article  PubMed  PubMed Central  Google Scholar 

  6. Mathews JD, Forsythe AV, Brady Z, Butler MW, Goergen SK, Byrnes GB, Giles GG, Wallace AB, Anderson PR, Guiver TA, McGale P, Cain TM, Dowty JG, Bickerstaffe AC, Darby SC (2013) Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ 21(346):f2360

    Article  Google Scholar 

  7. http://www.eurosafeimaging.org. Accessed 5 Aug 2017

  8. http://www.imagegently.org. Accessed 5 Aug 2017

  9. Council Directive 59/2013/EURATOM of 5 December 2013 laying down basic safety standards for protection against the dangers arising from exposure to ionizing radiation. Off J Eur Union L 13, Vol 57, 17 January 2014

  10. Connors JM (2005) State of the art therapeutics: Hodgkin’s lymphoma. J Clin Oncol 23:6400–6408

    Article  CAS  PubMed  Google Scholar 

  11. Ansell SM, Armitage J (2005) Non-Hodgkin lymphoma: diagnosis and treatment. Mayo Clin Proc 80:1087–1097

    Article  CAS  PubMed  Google Scholar 

  12. Hennessy BT, Hanrahan EO, Daly PA (2004) Non-Hodgkin lymphoma: an update. Lancet Oncol 5:341–353

    Article  PubMed  Google Scholar 

  13. Lee AI, Zuckerman D, Van den Abbeelle A et al (2010) Surveillance imaging of Hodgkin lymphoma patients in first remission. A clinical and economical analysis. Cancer 116:3835–3842

    Article  PubMed  Google Scholar 

  14. Lynch RC, Zelenetz AD, Armitage JO et al (2014) Surveillance imaging for lymphoma: pros and cons. ASCO Educ Book p e388–e395

  15. Paolicchi F, Faggioni L, Bastiani L, Molinaro S, Caramella D, Bartolozzi C (2013) Real practice radiation dose and dosimetric impact of radiological staff training in body CT examinations. Insights Imagin 4(2):239–244

  16. Paolicchi F, Faggioni L, Bastiani L, Molinaro S, Caramella D, Bartolozzi C (2014) Optimizing the balance between radiation dose and image quality in pediatric head CT: findings before and after intensive radiological staff training. AJR 202:1–7

  17. Portelli JL, McNulty JP, Bezzina P, Rainford L (2016) Paediatric imaging radiation dose awareness and use of referral guidelines amongst radiology practitioners and radiographers. Insights Imaging 7(1):145–153

    Article  PubMed  Google Scholar 

  18. Paolicchi F, Miniati F, Bastiani L, Faggioni L, Ciaramella A, Creonti I, Sottocornola C, Dionisi C, Caramella D (2016) Assessment of radiation protection awareness and knowledge about radiological examination doses among Italian radiographers. Insights Imagin 7(2):233–242

  19. Chien SH, Liu CJ, Hu YW, Hong YC, Teng CJ, Yeh CM, Chiou TJ, Gau JP, Tzeng CH (2015) Frequency of surveillance computed tomography in non- Hodgkin lymphoma and the risk of secondary primary malignancies: a nationwide population-based study. Int J Cancer 137:658–665

    Article  CAS  PubMed  Google Scholar 

  20. Zuur AF, Hilbe JM, Leno EN (2013) Beginner’s guide to GLM and GLMM with R. Highland Statistics, Newburgh

    Google Scholar 

  21. Jewell NP (2003) Statistics for epidemiology, 1st edn. Chapman and Hall, BocaRaton

    Google Scholar 

  22. R Core Team (2013) R: a language and environment for statistical computing. R foundation for statistical computing. http://www.R-project.org/. Accessed 20 July 2017

  23. Bates D, Maechler M, Bolker B, Walker S (2014) lme4: linear mixed-effects models using Eigen and S4. R packageversion 1.1-7. http://CRAN.R-project.org/package=lme4. Accessed 20 July 2017

  24. Angelo Canty and Brian Ripley (2016) Boot: bootstrap R (S-Plus) functions. R package version 1.3-18

  25. Beyan C, Kaptan K, Ifran A, Öcal R, Ulutin C, Öztürk B (2007) The effect of radiologic imaging studies on the risk of secondary malignancy development in patients with Hodgkin lymphoma. Clin Lymphoma Myeloma 20(7):467–469

    Article  Google Scholar 

  26. Lynch RC, Zelenetz AD, Armitage JO, Carson KR (2014) Surveillance imaging for lymphoma: pros and cons. Am Soc Clin Oncol Educ Book e388–e395. doi:10.14694/EdBook_AM.2014.34.e388

  27. Ng AK, van Leeuwen FE (2016) Hodgkin lymphoma: late effects of treatment and guidelines for surveillance. Semin Hematol 53(3):209–215

    Article  PubMed  Google Scholar 

  28. Raman SP, Johnson PT, Deshmukh S, Mahesh M, Grant KL, Fishman EK (2013) CT dose reduction applications: available tools on the latest generation of CT scanners. J Am Coll Radiol 10(1):37–41

    Article  PubMed  Google Scholar 

  29. McCollough CH, Primak AN, Braun N, Kofler J, Yu L, Christner J (2009) Strategies for reducing radiation dose in CT. Radiol Clin North Am 47(1):27–40

    Article  PubMed  PubMed Central  Google Scholar 

  30. Miglioretti DL, Johnson E, Williams A, Greenlee RT, Weinmann S, Solberg LI, Feigelson HS, Roblin D, Flynn MJ, Vanneman N, Smith-Bindman R (2013) The use of computed tomography in pediatrics and the associated radiation exposure and estimated cancer risk. JAMA Pediatr 167(8):700–707

    Article  PubMed  PubMed Central  Google Scholar 

  31. Pearce MS, Salotti JA, Little MP, McHugh K, Lee C, Kim KP, Howe NL, Ronckers CM, Rajaraman P, Sir Craft AW, Parker L, Berrington de González A (2012) Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet 380(9840):499–505

    Article  PubMed  PubMed Central  Google Scholar 

  32. Seyal AR, Arslanoglu A, Abboud SF, Sahin A, Horowitz JM, Yaghmai V (2015) CT of the abdomen with reduced tube voltage in adults: a practical approach. Radiographics 35(7):1922–1939

    Article  PubMed  Google Scholar 

  33. Dougeni E, Faulkner K, Panayiotakis G (2012) A review of patient dose and optimisation methods in adult and paediatric CT scanning. Eur J Radiol 81(4):e665–e683

    Article  CAS  PubMed  Google Scholar 

  34. Hong SI, Ahn S, Lee YS, Kim WY, Lim KS, Lee JH (2016) Contrast-induced nephropathy in patients with active cancer undergoing contrast-enhanced computed tomography. Support Care Cancer 24(3):1011–1017

    Article  PubMed  Google Scholar 

  35. Zanca F, Demeter M, Oyen R, Bosmans H (2012) Excess radiation and organ dose in chest and abdominal CT due to CT acquisition beyond expected anatomical boundaries. Eur Radiol 22(4):779–788

    Article  PubMed  Google Scholar 

  36. Kaasalainen T, Palmu K, Reijonen V, Kortesniemi M (2014) Effect of patient centering on patient dose and image noise in chest CT. Am J Roentgenol 203(1):123–130

    Article  Google Scholar 

  37. Toth T, Ge Z, Daly MP (2007) The influence of patient centering on CT dose and image noise. Med Phys 34(7):3093–3101

    Article  PubMed  Google Scholar 

  38. Smith-Bindman R, Lipson J, Marcus R, Kim KP, Mahesh M, Gould R, Berrington de González A, Miglioretti DL (2009) Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer. Arch Intern Med 169(22):2078–2086

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fabio Paolicchi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Paolicchi, F., Bastiani, L., Guido, D. et al. Radiation dose exposure in patients affected by lymphoma undergoing repeat CT examinations: how to manage the radiation dose variability. Radiol med 123, 191–201 (2018). https://doi.org/10.1007/s11547-017-0826-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11547-017-0826-7

Keywords

Navigation