Evidence-Based Diagnosis for an Elderly Patient with Hematuria_Chinese Journal of Evidence-Based Medicine

Authors：

 ZHANGShao-min ¹ , LIUYang ¹ , WUBing ² , HUANGJuan ² ,  WUJin-hui ¹

1. Department of Geratology, West China Hospital, Sichuan University, Chengdu 610041, China;
2. Department of Radiology Imaging Center, West China Hospital, Sichuan University, Chengdu 610041, China;

Corresponding author：

WUJin-hui, Email: wujinhui@scu.edu.cn

Keywords：

Hematuria; Diagnosis; Imaging; Elder patients

DOI：

10.7507/1672-2531.20160039

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To determine the diagnosis method for an elderly male patient with hematuria by means of evidence-based practice, so as to provide references for clinical diagnosis. Method We searched databases including PubMed, EMbase, and The Cochrane Library up to Nov. 2014, to collect relevant diagnostic evidence for elderly patients with hematuria. Results Compared with MRI, CT had higher sensitivity and specificity in determination of lesion location in where the hematuria was caused by tumor. Conclusions CT scan may be better for patients with hematuria to determine the location of lesion.

Citation： ZHANGShao-min, LIUYang, WUBing, HUANGJuan, WUJin-hui. Evidence-Based Diagnosis for an Elderly Patient with Hematuria. Chinese Journal of Evidence-Based Medicine, 2016, 16(2): 246-248. doi: 10.7507/1672-2531.20160039 Copy

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2.	Nunes LW, Schnall M D, Orel S G, etal. Breast M R imaging:interpretation model. Radiology, 1997, 202(3) :833-841.
3.	Qu X, Huang X, Wu L, et al. Comparison of virtual cystoscopy and ultrasonography for bladder cancer detection:a meta-analysis. Eur J Radiol, 2011, 80(2) :188-197.
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5.	Worster A, Preyra I, Weaver B, Haines T. The accuracy of noncontrast helical computed tomography versus intravenous pyelography in the diagnosis of suspected acute urolithiasis:a metaanalysis. Ann Emerg Med, 2002, 40(3) :280-286.
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8.	Messer JC, Terrell JD, Herman MP, et al. Multi-institutional validation of the ability of preoperative hydronephrosis to predict advanced pathologic tumor stage in upper-tract urothelial carcinoma. Urol Oncol, 2013, 31(6) :904-908.
9.	Villet R, Salet-Lizee D. Node clearance in ovarian cancer. Bull Acad Natl Med, 2010, 194(1) :39-50.
10.	Hallscheidt P, Noeldge G, Schawo S, et al. Advances in the staging of renal cell carcinoma with high-resolution imaging. Rofo, 2007, 179(12) :1236-1242.
11.	Chlapoutakis K, Theocharopoulos N, Yarmenitis S, et al. Performance of computed tomographic urography in diagnosis of upper urinary tract urothelia lcarcinoma, inpatients presenting with hematuria:Systematic review and meta-analysis. Eur J Radiol, 2010, 73(2) :334-338.
12.	Newhouse JH. Clinical use of urinary tract magnetic resonance imaging. Radiol Clin North Am, 1991, 29(3) :455-474.
13.	O'Connor OJ, Fitzgerald E, Maher MM. Imaging of hematuria. AJR Am J Roentgenol, 2010, 195(4) :263-267.
14.	Cowan NC, Crew JP. Imaging bladder cancer. Curr Opin Urol, 2010, 20(5) :409-413.
15.	Bae KT, Grantham JJ. Imaging for the prognosis of autosomal dominant polycystic kidney disease. Nat Rev Nephrol, 2010, 6(2) :96-106.
16.	Herts BR. Imaging for renal tumors. Curr Opin Urol, 2003, 13(3) : 181-186.

1. Puech P, Rouprêt M, Renard-Penna R, et al. Imaging of urothelial carcinomas of the upper tract:State of the art for the yearly scientific report of the National French association of urology. Prog Urol, 2014, 24(15) :987-999.
2. Nunes LW, Schnall M D, Orel S G, etal. Breast M R imaging:interpretation model. Radiology, 1997, 202(3) :833-841.
3. Qu X, Huang X, Wu L, et al. Comparison of virtual cystoscopy and ultrasonography for bladder cancer detection:a meta-analysis. Eur J Radiol, 2011, 80(2) :188-197.
4. Nikolić O, Stojanović S, Till V, et al. Multislice computed tomography urography in the diagnosis of urinary tract diseases. Vojnosanitetski Pregled, 2011, 68(5) :417-422.
5. Worster A, Preyra I, Weaver B, Haines T. The accuracy of noncontrast helical computed tomography versus intravenous pyelography in the diagnosis of suspected acute urolithiasis:a metaanalysis. Ann Emerg Med, 2002, 40(3) :280-286.
6. Richenberg J. Haematuria. Imaging, 2008, 20(1) :57-72.
7. Nikolić O, Vučaj Ćirilović V, Petrović K, et al. Till V. Renal colicradiological approach. Med Pregl, 2006, 59(7-8) :385-389.
8. Messer JC, Terrell JD, Herman MP, et al. Multi-institutional validation of the ability of preoperative hydronephrosis to predict advanced pathologic tumor stage in upper-tract urothelial carcinoma. Urol Oncol, 2013, 31(6) :904-908.
9. Villet R, Salet-Lizee D. Node clearance in ovarian cancer. Bull Acad Natl Med, 2010, 194(1) :39-50.
10. Hallscheidt P, Noeldge G, Schawo S, et al. Advances in the staging of renal cell carcinoma with high-resolution imaging. Rofo, 2007, 179(12) :1236-1242.
11. Chlapoutakis K, Theocharopoulos N, Yarmenitis S, et al. Performance of computed tomographic urography in diagnosis of upper urinary tract urothelia lcarcinoma, inpatients presenting with hematuria:Systematic review and meta-analysis. Eur J Radiol, 2010, 73(2) :334-338.
12. Newhouse JH. Clinical use of urinary tract magnetic resonance imaging. Radiol Clin North Am, 1991, 29(3) :455-474.
13. O'Connor OJ, Fitzgerald E, Maher MM. Imaging of hematuria. AJR Am J Roentgenol, 2010, 195(4) :263-267.
14. Cowan NC, Crew JP. Imaging bladder cancer. Curr Opin Urol, 2010, 20(5) :409-413.
15. Bae KT, Grantham JJ. Imaging for the prognosis of autosomal dominant polycystic kidney disease. Nat Rev Nephrol, 2010, 6(2) :96-106.
16. Herts BR. Imaging for renal tumors. Curr Opin Urol, 2003, 13(3) : 181-186.

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