Skip to main content
Log in

Dual-layer spectral detector CT: non-inferiority assessment compared to dual-source dual-energy CT in discriminating uric acid from non-uric acid renal stones ex vivo

  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To assess the non-inferiority of dual-layer spectral detector CT (SDCT) compared to dual-source dual-energy CT (dsDECT) in discriminating uric acid (UA) from non-UA stones.

Methods

Fifty-seven extracted urinary calculi were placed in a cylindrical phantom in a water bath and scanned on a SDCT scanner (IQon, Philips Healthcare) and second- and third-generation dsDECT scanners (Somatom Flash and Force, Siemens Healthcare) under matched scan parameters. For SDCT data, conventional images and virtual monoenergetic reconstructions were created. A customized 3D growing region segmentation tool was used to segment each stone on a pixel-by-pixel basis for statistical analysis. Median virtual monoenergetic ratios (VMRs) of 40/200, 62/92, and 62/100 for each stone were recorded. For dsDECT data, dual-energy ratio (DER) for each stone was recorded from vendor-specific postprocessing software (Syngo Via) using the Kidney Stones Application. The clinical reference standard of X-ray diffraction analysis was used to assess non-inferiority. Area under the receiver-operating characteristic curve (AUC) was used to assess diagnostic performance of detecting UA stones.

Results

Six pure UA, 47 pure calcium-based, 1 pure cystine, and 3 mixed struvite stones were scanned. All pure UA stones were correctly separated from non-UA stones using SDCT and dsDECT (AUC = 1). For UA stones, median VMR was 0.95–0.99 and DER 1.00–1.02. For non-UA stones, median VMR was 1.4–4.1 and DER 1.39–1.69.

Conclusion

SDCT spectral reconstructions demonstrate similar performance to those of dsDECT in discriminating UA from non-UA stones in a phantom model.

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
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Scales CD Jr, Smith AC, Hanley JM, Saigal CS (2012) Prevalence of kidney stones in the United States. Eur Urol 62:160–165

    Article  Google Scholar 

  2. Uribarri J, Oh MS, Carroll HJ (1989) The first kidney stone. Ann Intern Med 111:1006–1009

    Article  CAS  Google Scholar 

  3. Morgan MS, Pearle MS (2016) Medical management of renal stones. BMJ (Clinical research ed) 352:i52

    Google Scholar 

  4. Newhouse JH, Prien EL, Amis ES Jr, Dretler SP, Pfister RC (1984) Computed tomographic analysis of urinary calculi. AJR Am J Roentgenol 142:545–548

    Article  CAS  Google Scholar 

  5. Motley G, Dalrymple N, Keesling C, Fischer J, Harmon W (2001) Hounsfield unit density in the determination of urinary stone composition. Urology 58:170–173

    Article  CAS  Google Scholar 

  6. Graser A, Johnson TR, Bader M, et al. (2008) Dual energy CT characterization of urinary calculi: initial in vitro and clinical experience. Invest Radiol 43:112–119

    Article  Google Scholar 

  7. Boll DT, Patil NA, Paulson EK, et al. (2009) Renal stone assessment with dual-energy multidetector CT and advanced postprocessing techniques: improved characterization of renal stone composition–pilot study. Radiology 250:813–820

    Article  Google Scholar 

  8. Duan X, Li Z, Yu L, et al. (2015) Characterization of urinary stone composition by use of third-generation dual-source dual-energy CT with increased spectral separation. AJR Am J Roentgenol 205:1203–1207

    Article  Google Scholar 

  9. Kulkarni NM, Eisner BH, Pinho DF, et al. (2013) Determination of renal stone composition in phantom and patients using single-source dual-energy computed tomography. J Comput Assist Tomogr 37:37–45

    Article  Google Scholar 

  10. Ananthakrishnan L, Rajiah P, Ahn R, et al. (2017) Spectral detector CT-derived virtual non-contrast images: comparison of attenuation values with unenhanced CT. Abdom Radiol (NY) 42(3):702–709

    Article  Google Scholar 

  11. Blackledge MD, Collins DJ, Koh DM, Leach MO (2016) Rapid development of image analysis research tools: bridging the gap between researcher and clinician with pyOsiriX. Comput Biol Med 69:203–212

    Article  Google Scholar 

  12. McCollough CH, Leng S, Yu L, Fletcher JG (2015) Dual- and multi-energy CT: principles, technical approaches, and clinical applications. Radiology 276:637–653

    Article  Google Scholar 

  13. Lombardo F, Bonatti M, Zamboni GA, et al. (2017) Uric acid versus non-uric acid renal stones: in vivo differentiation with spectral CT. Clin Radiol 72:490–496

    Article  CAS  Google Scholar 

  14. Hidas G, Eliahou R, Duvdevani M, et al. (2010) Determination of renal stone composition with dual-energy CT: in vivo analysis and comparison with x-ray diffraction. Radiology 257:394–401

    Article  Google Scholar 

  15. Siener R, Buchholz N, Daudon M, et al. (2016) quality assessment of urinary stone analysis: results of a multicenter study of laboratories in Europe. PloS ONE 11:e0156606

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lakshmi Ananthakrishnan.

Ethics declarations

Funding

This study received financial support from Philips Healthcare.

Conflict of interest

An institutional research agreement exists between UT Southwestern Medical Center and both Philips Healthcare and Siemens Healthcare. Lakshmi Ananthakrishnan, Xinhui Duan, Yin Xi, Matthew A. Lewis, Margaret S. Pearle, Jodi A. Antonelli, Harold Goerne, Elysha M. Kolitz, Suhny Abbara, Robert E. Lenkinski, Julia R. Fielding, and John R. Leyendecker declare that they have no conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Human and animal rights

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

Informed consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ananthakrishnan, L., Duan, X., Xi, Y. et al. Dual-layer spectral detector CT: non-inferiority assessment compared to dual-source dual-energy CT in discriminating uric acid from non-uric acid renal stones ex vivo. Abdom Radiol 43, 3075–3081 (2018). https://doi.org/10.1007/s00261-018-1589-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-018-1589-x

Keywords

Navigation