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Accuracy of ultrasound vs computed tomography scan for upper urinary tract malignancies and development of a risk-based diagnostic algorithm for haematuria in a UK tertiary centre

  • Urology - Original Paper
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Abstract

Purpose

There is no consensus across guidelines on a diagnostic algorithm for upper urinary tract (UUT) evaluation following presentation with haematuria. Our aim is to compare the diagnostic accuracy of ultrasound (USS) compared to CT-scan for UUT malignancies and also determine the considerations important for a risk-based diagnostic protocol for haematuria.

Methods

We reviewed our ‘haematuria clinic’ database to identify patients who had both USS and CT-scan for UUT evaluation between September 2015 and August 2017, and calculated the diagnostic accuracy of these imaging modalities for histologically confirmed UUT cancers. Furthermore, we identified risk factors in our diagnostic algorithm for haematuria and conducted regression analysis to determine their ability to predict UUT malignancies.

Results

Overall, 575 patient records were studied. Age range was 21–92 years, M:F was 1.4:1, majority (81.2%) had visible haematuria, and 12 (2.1%) UUT cancers were diagnosed [renal cell carcinoma—1.4%; upper tract urothelial cancer—0.7%]. USS and CT-scan had diagnostic accuracy for UUT cancers of 95.8 and 99.1%, respectively (p < 0.001). Haematuria type was a significant consideration only on univariate analysis, while multivariate binary logistic regression showed that male gender, smoking, occupational exposure, and positive urologic history were the main risk factors associated with UUT malignancies.

Conclusion

USS and CT-scan have comparably high diagnostic accuracy for detecting UUT malignancies. USS may, therefore, be considered as the first-line UUT imaging modality when utilized in a risk-based diagnostic algorithm. Larger, multicentred studies are needed to validate our findings and influence guideline development.

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References

  1. Bolenz C, Schroppel B, Eisenhardt A et al (2018) The investigation of hematuria. Dtsch Arztebl Int 115:801–807. https://doi.org/10.3238/arztebl.2018.0801

    Article  PubMed  PubMed Central  Google Scholar 

  2. Moloney F, Murphy KP, Twomey M et al (2014) Haematuria: an imaging guide. Adv Urol 2014:9. https://doi.org/10.1155/2014/414125

    Article  Google Scholar 

  3. Tan WS, Sarpong R, Khetrapal P et al (2018) Can renal and bladder ultrasound replace computerized tomography urogram in patients investigated for microscopic hematuria? J Urol 200:973–980. https://doi.org/10.1016/j.juro.2018.04.065

    Article  PubMed  PubMed Central  Google Scholar 

  4. Davis R, Jones JS, Barocas DA et al (2012) Diagnosis, evaluation and follow-up of asymptomatic microhematuria (AMH) in adults: AUA guideline. J Urol 188:2473–2481. https://doi.org/10.1016/j.juro.2012.09.078

    Article  PubMed  Google Scholar 

  5. Edwards TJ, Dickinson AJ, Natale S et al (2006) A prospective analysis of the diagnostic yield resulting from the attendance of 4020 patients at a protocol-driven haematuria clinic. BJU Int 97:301–305

    Article  Google Scholar 

  6. Horie S, Ito S, Okada H et al (2014) Japanese guidelines of the management of hematuria 2013. Clin Exp Nephrol 18:679–689. https://doi.org/10.1007/s10157-014-1001-2

    Article  PubMed  Google Scholar 

  7. van der Molen AJ, Hovius MC (2012) Hematuria: a problem-based imaging algorithm illustrating the recent Dutch guidelines on hematuria. Am J Roentgenol 198:1256–1265

    Article  Google Scholar 

  8. Rheaume-Lanoie J, Lepanto L, Fradet V et al (2014) Diagnostic performance of ultrasound for macroscopic hematuria in the era of multidetector computed tomography urography. Can Assoc Radiol J 65:253–259. https://doi.org/10.1016/j.carj.2013.08.001

    Article  PubMed  Google Scholar 

  9. Halpern JA, Chughtai B, Ghomrawi H (2017) Cost-effectiveness of common diagnostic approaches for evaluation of asymptomatic microscopic hematuria. JAMA Intern Med 177:800–807

    Article  Google Scholar 

  10. Sun M, Wang C, Jiang F et al (2019) Diagnostic value and clinical significance of ultrasound combined with CT in cystic renal cell carcinoma. Oncol Lett 18:1395–1401. https://doi.org/10.3892/ol.2019.10422

    Article  PubMed  PubMed Central  Google Scholar 

  11. O’Connor OJ, Fitzgerald E, Maher MM (2010) Imaging of hematuria. Am J Roentgenol 195:W263–W267

    Article  Google Scholar 

  12. England NHS (2017) Diagnostic imaging dataset annual statistical release 2016/17. https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2019/12/Annual-Statistical-Release-2018-19-PDF-1.9MB.pdf. Accessed 15 June 2020

  13. Smith-Bindman R, Kwan ML, Marlow EC et al (2019) Trends in use of medical imaging in US Health Care Systems and in Ontario, Canada, 2000–2016. JAMA 322:843–856. https://doi.org/10.1001/jama.2019.11456

    Article  PubMed  PubMed Central  Google Scholar 

  14. Cauberg ECC, Nio CY, de la Rosette JMCH et al (2011) Computed tomography-urography for upper urinary tract imaging: is it required for all patients who present with hematuria? J Endourol 25:1733–1740

    Article  Google Scholar 

  15. Chlapoutakis K, Theocharopoulos N, Yarmenitis S, Damilakis J (2010) Performance of computed tomographic urography in diagnosis of upper urinary tract urothelial carcinoma, in patients presenting with hematuria: systematic review and meta-analysis. Eur J Radiol 73:334–338. https://doi.org/10.1016/j.ejrad.2008.10.026

    Article  PubMed  Google Scholar 

  16. Mannas M, Khadhouri S, Gallagher KM et al (2020) Diagnostic test performance of ultrasound and cytology in upper tract cancer- Results from the IDENTIFY study. Abstract MP24-04 of the American Urologic Association Annual Meeting. J Urol. https://doi.org/10.1097/ju.0000000000000857.04

    Article  Google Scholar 

  17. Yecies T, Bandari J, Fam M et al (2018) Risk of radiation from computerized tomography urography in the evaluation of asymptomatic microscopic hematuria. J Urol 200:967–972. https://doi.org/10.1016/j.juro.2018.05.118

    Article  PubMed  Google Scholar 

  18. Tan WP, Kelly JD, Tan WS (2019) The investigation of haematuria and bladder cancer. Trends Urol Men’s Heal 10:25–27

    Article  Google Scholar 

  19. Jefferies ER, Brewster SF, Oncology BS on (2016) Urological recommendations from the National Institute for Health and Care Excellence (NICE) guideline, June 2015: suspected cancer: recognition and referral. BJU Int 117:857–860

    Article  Google Scholar 

  20. Grossfeld GD, Litwin MS, Wolf JS Jr et al (2001) Evaluation of asymptomatic microscopic hematuria in adults: the American Urological Association best practice policy—part II: patient evaluation, cytology, voided markers, imaging, cystoscopy, nephrology evaluation, and follow-up. Urology 57:604–610. https://doi.org/10.1016/s0090-4295(01)00920-7

    Article  CAS  PubMed  Google Scholar 

  21. Cohen JF, Korevaar DA, Altman DG et al (2016) STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration. BMJ Open 6:e012799. https://doi.org/10.1136/bmjopen-2016-012799

    Article  PubMed  PubMed Central  Google Scholar 

  22. Salako AA, Badmus TA, Badmos KB et al (2017) Renal cell carcinoma in a semi-urban population of south-western Nigeria. East Afr Med J 94:37–43

    Google Scholar 

  23. Fankhauser CD, Waisbrod S, Fierz C et al (2020) Diagnostic accuracy of ultrasonography, computed tomography, cystoscopy and cytology to detect urinary tract malignancies in patients with asymptomatic hematuria. World J Urol. https://doi.org/10.1007/s00345-020-03171-6

    Article  PubMed  Google Scholar 

  24. Datta SN, Allen GM, Evans R et al (2002) Urinary tract ultrasonography in the evaluation of haematuria—a report of over 1,000 cases. Ann R Coll Surg Engl 84:203–205

    CAS  PubMed  PubMed Central  Google Scholar 

  25. KandaSwamy G, David R, Rai B et al (2019) Fate of normal hematuria investigation patients in the immediate to long term—outcomes and clinical implications. J Endourol 33:A228

    Google Scholar 

  26. Nielsen M, Qaseem A (2016) Hematuria as a marker of occult urinary tract cancer: advice for high-value care from the American College of Physicians. Ann Intern Med 164:488–497

    Article  Google Scholar 

  27. BAUS Sect. Oncol. (2016) Summ. ref. NICE guidel. haematuria. https://www.baus.org.uk/_userfiles/pages/files/Publications/BAUSCancerGuidelinesSummary.pdf. Accessed 14 June 2020

  28. Kassouf W, Aprikian A, Black P et al (2016) Recommendations for the improvement of bladder cancer quality of care in Canada: a consensus document reviewed and endorsed by Bladder Cancer Canada (BCC), Canadian Urologic Oncology Group (CUOG), and Canadian Urological Association (CUA). Can Urol Assoc J 10:E46–80. https://doi.org/10.5489/cuaj.3583

    Article  PubMed  PubMed Central  Google Scholar 

  29. Babjuk M, Burger M, Comperat EM et al (2019) European Association of Urology guidelines on non-muscle-invasive bladder cancer (TaT1 and carcinoma in situ)—2019 update. Eur Urol 76:639–657. https://doi.org/10.1016/j.eururo.2019.08.016

    Article  CAS  PubMed  Google Scholar 

  30. Van Der Molen AJ, Cowan NC, Mueller-Lisse UG et al (2008) CT urography: definition, indications and techniques. A guideline for clinical practice. Eur Radiol 18:4–17. https://doi.org/10.1007/s00330-007-0792-x

    Article  Google Scholar 

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Authors

Contributions

All the authors have contributed to this study in ways that conform to ICMJE authorship criteria. RAD and BJ retrieved the data. RAD and DA carried out the statistical analysis. All authors had input in the article draft/revision and approved the final version of the manuscript.

Corresponding author

Correspondence to Rotimi A. David.

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Ethical approval

This study was approved by the clinical audit and effectiveness department of our hospital, and was conducted in accordance with the ethical standards stated in the 1964 Helsinki declaration and its later amendments.

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This study involved a retroactive review of de-identified data from an electronic database, so informed consent was waived.

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David, R.A., James, B., Adeloye, D. et al. Accuracy of ultrasound vs computed tomography scan for upper urinary tract malignancies and development of a risk-based diagnostic algorithm for haematuria in a UK tertiary centre. Int Urol Nephrol 53, 49–57 (2021). https://doi.org/10.1007/s11255-020-02615-7

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