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Using 80 kVp on a 320-row scanner for hepatic multiphasic CT reduces the contrast dose by 50 % in patients at risk for contrast-induced nephropathy

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Abstract

Objectives

We evaluated the effects of a low contrast material (CM) dose protocol using 80-kVp on the image quality of hepatic multiphasic CT scans acquired on a 320-row CT scanner.

Methods

We scanned 30 patients with renal insufficiency (eGFR < 45 mL/min/1.73 m2) using 80-kVp and a CM dose of 300mgI/kg. Another 30 patients without renal insufficiency (eGFR > 60 mL/min/1.73 m2) were scanned with the conventional 120-kVp protocol and the standard CM dose of 600mgI/kg. Quantitative image quality parameters, i.e. CT attenuation, image noise, and the contrast-to-noise ratio (CNR) were compared and the visual image quality was scored on a four-point scale. The volume CT dose index (CTDIvol) and the size-specific dose estimate (SSDE) recorded with the 80- and the 120-kVp protocols were also compared.

Results

Image noise and contrast enhancement were equivalent for the two protocols. There was no significant difference in the CNR of all anatomic sites and in the visual scores for overall image quality. The CTDIvol and SSDE were approximately 25–30 % lower under the 80-kVp protocol.

Conclusion

Hepatic multiphase CT using 80-kVp on a 320-row CT scanner allowed for a decrease in the CM dose and a reduction in the radiation dose without image quality degradation in patients with renal insufficiency.

Key Points

The 80-kVp CT protocol enabled reduction of contrast dose by 50 %

The 80-kVp CT protocol reduced the radiation dose by 25–33 %

There was no degradation in the image quality of the 80-kVp protocol

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References

  1. UW Environmental Health and Safety (2015) ALARA Program, Radiation Safety Manual. Available at: https://www.ehs.washington.edu/manuals/rsmanual/7alara.pdf [accessed Feb. 1, 2016]

  2. McDonald JS, McDonald RJ, Carter RE, Katzberg RW, Kallmes DF, Williamson EE (2014) Risk of intravenous contrast material-mediated acute kidney injury: a propensity score-matched study stratified by baseline-estimated glomerular filtration rate. Radiology 271:65–73

    Article  PubMed  Google Scholar 

  3. Davenport MS, Khalatbari S, Dillman JR, Cohan RH, Caoili EM, Ellis JH (2013) Contrast material-induced nephrotoxicity and intravenous low-osmolality iodinated contrast material. Radiology 267:94–105

    Article  PubMed  PubMed Central  Google Scholar 

  4. McDonald RJ, McDonald JS, Bida JP et al (2013) Intravenous contrast material-induced nephropathy: causal or coincident phenomenon? Radiology 267:106–118

    Article  PubMed  Google Scholar 

  5. McDonald JS, McDonald RJ, Comin J et al (2013) Frequency of acute kidney injury following intravenous contrast medium administration: a systematic review and meta-analysis. Radiology 267:119–128

    Article  PubMed  Google Scholar 

  6. Davenport MS, Cohan RH, Khalatbari S, Ellis JH (2014) The challenges in assessing contrast-induced nephropathy: where are we now? AJR Am J Roentgenol 202:784–789

    Article  PubMed  Google Scholar 

  7. Tao SM, Wichmann JL, Schoepf UJ, Fuller SR, Lu GM, Zhang LJ (2015) Contrast-induced nephropathy in CT: incidence, risk factors and strategies for prevention. Eur Radiol. doi:10.1007/s00330-015-4155-8

  8. Davenport MS, Khalatbari S, Cohan RH, Ellis JH (2013) Contrast medium-induced nephrotoxicity risk assessment in adult inpatients: a comparison of serum creatinine level- and estimated glomerular filtration rate-based screening methods. Radiology 269:92–100

    Article  PubMed  PubMed Central  Google Scholar 

  9. Davenport MS, Khalatbari S, Cohan RH, Dillman JR, Myles JD, Ellis JH (2013) Contrast material-induced nephrotoxicity and intravenous low-osmolality iodinated contrast material: risk stratification by using estimated glomerular filtration rate. Radiology 268:719–728

    Article  PubMed  Google Scholar 

  10. Nyman U, Almen T, Aspelin P, Hellstrom M, Kristiansson M, Sterner G (2005) Contrast-medium-Induced nephropathy correlated to the ratio between dose in gram iodine and estimated GFR in ml/min. Acta Radiol 46:830–842

    Article  CAS  PubMed  Google Scholar 

  11. Stacul F, van der Molen AJ, Reimer P et al (2011) Contrast induced nephropathy: updated ESUR Contrast Media Safety Committee guidelines. Eur Radiol 21:2527–2541

    Article  PubMed  Google Scholar 

  12. Nakayama Y, Awai K, Funama Y et al (2005) Abdominal CT with low tube voltage: preliminary observations about radiation dose, contrast enhancement, image quality, and noise. Radiology 237:945–951

    Article  PubMed  Google Scholar 

  13. Oda S, Utsunomiya D, Funama Y et al (2012) A hybrid iterative reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography. AJR Am J Roentgenol 198:1126–1131

    Article  PubMed  Google Scholar 

  14. Nakaura T, Nakamura S, Maruyama N et al (2012) Low Contrast Agent and Radiation Dose Protocol for Hepatic Dynamic CT of Thin Adults at 256-Detector Row CT: Effect of Low Tube Voltage and Hybrid Iterative Reconstruction Algorithm on Image Quality. Radiology 264:445–454

    Article  PubMed  Google Scholar 

  15. Oda S, Utsunomiya D, Funama Y et al (2012) Evaluation of deep vein thrombosis with reduced radiation and contrast material dose at computed tomography venography: clinical application of a combined iterative reconstruction and low-tube-voltage technique. Circ J 76:2614–2622

    Article  PubMed  Google Scholar 

  16. Utsunomiya D, Oda S, Funama Y et al (2010) Comparison of standard- and low-tube voltage MDCT angiography in patients with peripheral arterial disease. Eur Radiol 20:2758–2765

    Article  PubMed  Google Scholar 

  17. Yamamura S, Oda S, Imuta M et al (2016) Reducing the Radiation Dose for CT Colonography: Effect of Low Tube Voltage and Iterative Reconstruction. Acad Radiol 23:155–162

    Article  PubMed  Google Scholar 

  18. Yamamura S, Oda S, Utsunomiya D et al (2013) Dynamic computed tomography of locally advanced pancreatic cancer: effect of low tube voltage and a hybrid iterative reconstruction algorithm on image quality. J Comput Assist Tomogr 37:790–796

    Article  PubMed  Google Scholar 

  19. Cheng C, Zhao L, Wolanski M et al (2012) Comparison of tissue characterization curves for different CT scanners: implication in proton therapy treatment planning. Transl Cancer Res 1:236–246

    Google Scholar 

  20. Matsuo S, Imai E, Horio M et al (2009) Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 53:982–992

    Article  CAS  PubMed  Google Scholar 

  21. Van der Molen AJ, Joemai RM, Geleijns J (2012) Performance of longitudinal and volumetric tube current modulation in a 64-slice CT with different choices of acquisition and reconstruction parameters. Phys Med 28:319–326

    Article  PubMed  Google Scholar 

  22. Boone J, Strauss K, Cody Dea (2011) Size-specific dose estimates (SSDE) in pediatric and adult body CT examinations. Report of AAPM Task Group 204. College Park, Md: American Association of Physicists in Medicine. Available at: https://www.aapm.org/pubs/reports/RPT_204.pdf. Accessed 25 May 2016

  23. Waaijer A, Prokop M, Velthuis BK, Bakker CJ, de Kort GA, van Leeuwen MS (2007) Circle of Willis at CT angiography: dose reduction and image quality--reducing tube voltage and increasing tube current settings. Radiology 242:832–839

    Article  PubMed  Google Scholar 

  24. Schindera ST, Nelson RC, Mukundan S Jr et al (2008) Hypervascular liver tumors: low tube voltage, high tube current multi-detector row CT for enhanced detection--phantom study. Radiology 246:125–132

    Article  PubMed  Google Scholar 

  25. Nakayama Y, Awai K, Funama Y et al (2006) Lower tube voltage reduces contrast material and radiation doses on 16-MDCT aortography. AJR Am J Roentgenol 187:W490–W497

    Article  PubMed  Google Scholar 

  26. Iida H, Noto K, Mitsui W, Takata T, Yamamoto T, Matsubara K (2011) New method of measuring effective energy using copper-pipe absorbers in X-ray CT. Nihon Hoshasen Gijutsu Gakkai Zasshi 67:1183–1191

    Article  PubMed  Google Scholar 

  27. Mori S, Nishizawa K, Ohno M, Endo M (2006) Conversion factor for CT dosimetry to assess patient dose using a 256-slice CT scanner. Br J Radiol 79:888–892

    Article  CAS  PubMed  Google Scholar 

  28. Funama Y, Awai K, Nakayama Y et al (2005) Radiation dose reduction without degradation of low-contrast detectability at abdominal multisection CT with a low-tube voltage technique: phantom study. Radiology 237:905–910

    Article  PubMed  Google Scholar 

  29. Silva AC, Lawder HJ, Hara A, Kujak J, Pavlicek W (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–199

    Article  PubMed  Google Scholar 

  30. Sagara Y, Hara AK, Pavlicek W, Silva AC, Paden RG, Wu Q (2010) Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients. AJR Am J Roentgenol 195:713–719

    Article  PubMed  Google Scholar 

  31. Volders D, Bols A, Haspeslagh M, Coenegrachts K (2013) Model-based iterative reconstruction and adaptive statistical iterative reconstruction techniques in abdominal CT: comparison of image quality in the detection of colorectal liver metastases. Radiology 269:469–474

    Article  PubMed  Google Scholar 

  32. Shuman WP, Chan KT, Busey JM et al (2014) Standard and reduced radiation dose liver CT images: adaptive statistical iterative reconstruction versus model-based iterative reconstruction-comparison of findings and image quality. Radiology 273:793–800

    Article  PubMed  Google Scholar 

  33. Nakaura T, Awai K, Maruyama N et al (2011) Abdominal dynamic CT in patients with renal dysfunction: contrast agent dose reduction with low tube voltage and high tube current-time product settings at 256-detector row CT. Radiology 261:467–476

    Article  PubMed  Google Scholar 

  34. Buls N, Van Gompel G, Van Cauteren T et al (2015) Contrast agent and radiation dose reduction in abdominal CT by a combination of low tube voltage and advanced image reconstruction algorithms. Eur Radiol 25:1023–1031

    Article  PubMed  Google Scholar 

  35. Noda Y, Kanematsu M, Goshima S et al (2015) Reducing iodine load in hepatic CT for patients with chronic liver disease with a combination of low-tube-voltage and adaptive statistical iterative reconstruction. Eur J Radiol 84:11–18

    Article  PubMed  Google Scholar 

  36. Yu MH, Lee JM, Yoon JH et al (2013) Low tube voltage intermediate tube current liver MDCT: sinogram-affirmed iterative reconstruction algorithm for detection of hypervascular hepatocellular carcinoma. AJR Am J Roentgenol 201:23–32

    Article  PubMed  Google Scholar 

  37. Lv P, Liu J, Chai Y, Yan X, Gao J, Dong J (2016) Automatic spectral imaging protocol selection and iterative reconstruction in abdominal CT with reduced contrast agent dose: initial experience. Eur Radiol. doi:10.1007/s00330-016-4349-8

  38. Chen CM, Chu SY, Hsu MY, Liao YL, Tsai HY (2014) Low-tube-voltage (80 kVp) CT aortography using 320-row volume CT with adaptive iterative reconstruction: lower contrast medium and radiation dose. Eur Radiol 24:460–468

    Article  PubMed  Google Scholar 

  39. Oda S, Utsunomiya D, Yuki H et al (2015) Low contrast and radiation dose coronary CT angiography using a 320-row system and a refined contrast injection and timing method. J Cardiovasc Comput Tomogr 9:19–27

    Article  PubMed  Google Scholar 

  40. From AM, Bartholmai BJ, Williams AW, Cha SS, McDonald FS (2008) Mortality associated with nephropathy after radiographic contrast exposure. Mayo Clin Proc 83:1095–1100

    Article  PubMed  Google Scholar 

  41. Committee on Drugs and Contrast Media. American College of Radiology, (ACR) Website. Manual on contrast media, v. 10. Available at: http://www.acr.org/~/media/ACR/Documents/PDF/QualitySafety/Resources/Contrast%20Manual/2015_Contrast_Media.pdf [accessed Feb. 1, 2016]

  42. Shiwaku K, Anuurad E, Enkhmaa B et al (2004) Overweight Japanese with body mass indexes of 23.0–24.9 have higher risks for obesity-associated disorders: a comparison of Japanese and Mongolians. Int J Obes Relat Metab Disord 28:152–158

    Article  CAS  PubMed  Google Scholar 

  43. Itatani R, Oda S, Utsunomiya D et al (2013) Reduction in radiation and contrast medium dose via optimization of low-kilovoltage CT protocols using a hybrid iterative reconstruction algorithm at 256-slice body CT: phantom study and clinical correlation. Clin Radiol 68:e128–e135

    Article  CAS  PubMed  Google Scholar 

  44. Utsunomiya D, Yanaga Y, Awai K et al (2011) Baseline incidence and severity of renal insufficiency evaluated by estimated glomerular filtration rates in patients scheduled for contrast-enhanced CT. Acta Radiol 52:581–586

    Article  PubMed  Google Scholar 

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Acknowledgments

The scientific guarantor of this publication is Prof. Yasuyuki Yamashita, Kumamoto University. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. The authors state that this work has not received any funding.

No complex statistical methods were necessary for this paper. Institutional review board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Study subjects or cohorts have not been previously reported. Methodology: prospective, randomized controlled study, performed at one institution.

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Correspondence to Seitaro Oda.

APPENDIX

APPENDIX

Phantom study

This graph shows the CT number in test tubes filled with water and varying concentrations of iodinated solution (3, 6, 7.5, 10, 12, 15, 20, and 30 mgI/mL). Scanning was at 80 kVp on 4 different CT systems: (A) Aquilion ONE ViSION Edition, Toshiba Medical Systems, Otawara, Japan; (B) Light Speed VCT, GE Healthcare, Milwaukee, WI, USA; (C) Brilliance 64, Philips Healthcare, Cleveland, OH, USA; and (D) SOMATOM Definition AS+, Siemens Healthcare, Forchheim, Germany.

There was a significant linear correlation between the mean CT number and the increase in the iodine concentration for all four CT systems (R2 = 0.99, p < 0.001). The 320-row CT scanner (Aquilion ONE ViSION Edition, Toshiba Medical Systems) used in this study yielded the highest CT numbers among the four scanners.

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Taguchi, N., Oda, S., Utsunomiya, D. et al. Using 80 kVp on a 320-row scanner for hepatic multiphasic CT reduces the contrast dose by 50 % in patients at risk for contrast-induced nephropathy. Eur Radiol 27, 812–820 (2017). https://doi.org/10.1007/s00330-016-4435-y

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