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296 related items for PubMed ID: 27554618
21. Analysis of urinary calculi composition by infrared spectroscopy: a prospective study of 625 patients in eastern China. Jing Z, GuoZeng W, Ning J, JiaWei Y, Yan G, Fang Y. Urol Res; 2010 Apr; 38(2):111-5. PubMed ID: 20157702 [Abstract] [Full Text] [Related]
22. Systemic analysis of urinary stones from the Northern, Eastern, Central, Southern and Southwest China by a multi-center study. Ma RH, Luo XB, Li Q, Zhong HQ. BMC Urol; 2018 Dec 13; 18(1):114. PubMed ID: 30545321 [Abstract] [Full Text] [Related]
23. Determination of renal stone composition with dual-energy CT: in vivo analysis and comparison with x-ray diffraction. Hidas G, Eliahou R, Duvdevani M, Coulon P, Lemaitre L, Gofrit ON, Pode D, Sosna J. Radiology; 2010 Nov 13; 257(2):394-401. PubMed ID: 20807846 [Abstract] [Full Text] [Related]
24. Nondestructive analysis of urinary calculi using micro computed tomography. Zarse CA, McAteer JA, Sommer AJ, Kim SC, Hatt EK, Lingeman JE, Evan AP, Williams JC. BMC Urol; 2004 Dec 13; 4(1):15. PubMed ID: 15596006 [Abstract] [Full Text] [Related]
25. Predicting the stone composition of children preoperatively by Hounsfield unit detection on non-contrast computed tomography. Altan M, Çitamak B, Bozaci AC, Güneş A, Doğan HS, Haliloğlu M, Tekgül S. J Pediatr Urol; 2017 Oct 13; 13(5):505.e1-505.e6. PubMed ID: 28427913 [Abstract] [Full Text] [Related]
26. Dual-Energy Computed Tomography for Stone Type Assessment: A Pilot Study of Dual-Energy Computed Tomography with Five Indices. Rudenko V, Serova N, Kapanadze L, Taratkin M, Okhunov Z, Leonard SP, Ritter M, Kriegmair M, Snurnitsyna O, Kozlov V, Laukhtina E, Arshiev M, Aleksandrova K, Salomon G, Enikeev D, Glybochko P. J Endourol; 2020 Sep 13; 34(9):893-899. PubMed ID: 32368943 [Abstract] [Full Text] [Related]
29. In Vivo Differentiation of Uric Acid Versus Non-Uric Acid Urinary Calculi With Third-Generation Dual-Source Dual-Energy CT at Reduced Radiation Dose. Franken A, Gevenois PA, Muylem AV, Howarth N, Keyzer C. AJR Am J Roentgenol; 2018 Feb 13; 210(2):358-363. PubMed ID: 29166148 [Abstract] [Full Text] [Related]
35. Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study. Große Hokamp N, Lennartz S, Salem J, Pinto Dos Santos D, Heidenreich A, Maintz D, Haneder S. Eur Radiol; 2020 Mar 13; 30(3):1397-1404. PubMed ID: 31773296 [Abstract] [Full Text] [Related]
36. Revolution spectral CT for urinary stone with a single/mixed composition in vivo: a large sample analysis. Li X, Wang LP, Ou LL, Huang XY, Zeng QS, Wu WQ. World J Urol; 2021 Sep 13; 39(9):3631-3642. PubMed ID: 33495865 [Abstract] [Full Text] [Related]