RELATIONSHIP BETWEEN ABDOMINAL NON-CONTRAST CT SCAN HOUNSFIELD UNIT VALUE WITH STONE COMPOSITION ANALYSIS IN KIDNEY STONE PATIENTS
Abstract
Introduction: Hounsfield unit (HU) is used to indicate the radiodensity of urinary stones. Our study aims to describe the relationship between HU with urinary stone.
Material Methods: A retrospective cross-sectional study was conducted with thirty patients with kidney stones that have examined with NCCT.
Results: The mean age of patients was 51.0 + 10.4 years, with 15 patients were male (50%), and 15 others were female (50%). The median value of HU level was 661 (range 200-1499). Thirty patients in our study, 16 stones (53.3%) were composed calcium, while 14 others (46.7%), were composed mostly of uric acid. ROC analysis that HU criteria to predict stone composition have sensitivity 71,4% specificity 87,5% PPV 83.33% and NPV 77.78%.
Conclusion: The threshold of 500 HU on the CT scan determined as the optimal cut-off point in deciding whether a urinary stone composition is predominantly calcium stone or uric acid stone.
Keywords
Full Text:
PDFReferences
Curhan G, Goldfarb D, Trinchier A. 2008. Epidemiology of stone disease. In: Denstedt JD, Khoury S (eds) Stone disease.Health Publications, Paris, pp 9–20
Chua M.E, Gatchalian G.T, Corsino M.V, Reyes B.B. 2012. Diagnostic utility of attenuation measurement (Hounsfield units) in computed tomography stonogram in predicting the radioopacity of urinary calculi in plain abdominal radiographs. Int Urol Nephrol 2012; 44: 1349-55
Huang C.C, Chuang C.K, Wong Y.C, Wang L.J, Wu C.H. 2009. Useful prediction of ureteral calculi visibility on abdominal radiographs based on calculi characteristics on unenhanced helical CT and CT scout radiographs. Int J Clin Pract 2009; 63: 292-8
Spettel S, Shah P, Sekhar K, Herr A, White MD. 2013. Using Hounsfield unit measurement and urine parameters to predict uric acid stones. Urology 2013; 82: 22-6
Shirazi F, Shahpourian F, Khachian A, Hosseini F, Rad A, Heidari S, Sanjari M (2009) Personal characteristics and urinary stones. Hong Kong J Nephrol 11(1):14–19
Michaels EK, Nakagawa Y, Miura N et al (2004) Racial variation in gender frequency of calcium urolithiasis. J Urol 152:2228–2231
Nordin BE, Need AG, Morris HA, Horowitz M (2009) Biochemical variables in pre- and postmenopausal women: reconciling the calcium and estrogen hypotheses. Osteoporos Int 9:351–357
McKane WR, Khosla S, Burritt MF (2015) Mechanism of renal calcium conservation with estrogen replacement therapy in women in early postmenopause—a clinical research center study. J Clin Endocrinol Metab 80: 3458–3464
Patel SR, Haleblian G, Zabbo A, Pareek G (2009) Hounsfield units on computed tomography predict calcium stone subtype composition. Urol Int 83(2):175–180
Demirel A, Suma S (2013) The efficacy of non-contrast helical computed tomography in the prediction of urinary stone composition in vivo. J Int Med Res 31(1):1–5
Kim JW, Chae JY, Kim JW, Oh MM, Park HS, Moon du G, Yoon CY. Computed tomography-based novel prediction model for the stone-free rate of ureteroscopic lithotripsy. Urolithiasis 2014; 42: 75-79 [PMID: 24162952 DOI: 10.1007/ s00240-013-0609-0]
Hameed DA, Elgammal MA, ElGanainy EO, Hageb A, Mohammed K, El-Taher AM, Mostafa MM, Ahmed AI. Comparing non contrast computerized tomography criteria versus dual X-ray absorptiometry as predictors of radioopaque upper urinary tract stone fragmentation after electromagnetic shockwave lithotripsy. Urolithiasis 2013; 41: 511-515.
Refbacks
- There are currently no refbacks.