Detection and characterization of crystal suspensions using single-source dual-energy computed tomography: A phantom model of crystal arthropathies

Investigative Radiology

Volumn 50, Issue 4, 2015, Pages 255-260

  Diekhoff, Torsten ^a   Kiefer, Tobias ^a   Stroux, Andrea ^b   Pilhofer, Irid ^a   Juran, Ralf ^a   Mews, Jürgen ^c   Blobel, Jörg ^c   Tsuyuki, Masaharu ^d   Ackermann, Beate ^a   Hamm, Bernd ^a   Hermann, Kay Geert A ^a  

^a CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^b FREIE UNIVERSITÄT BERLIN   (Germany)

^c BV   (Netherlands)

^d TOSHIBA MEDICAL SYSTEMS CORPORATION   (Japan)

Author keywords

Calcium pyrophosphate; Crystal arthritis; Dual energy CT; Monosodium urate; Phantom

Indexed keywords

CALCIUM PYROPHOSPHATE; URATE; URIC ACID;

AREA UNDER THE CURVE; ARTICLE; CLINICAL ASSESSMENT; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEASIBILITY STUDY; GOUT; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; LINEAR REGRESSION ANALYSIS; MEASUREMENT ACCURACY; PRIORITY JOURNAL; PSEUDOGOUT; RADIATION ATTENUATION; RADIOLOGY PHANTOM; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SINGLE SOURCE DUAL ENERGY COMPUTED TOMOGRAPHY; SOFT TISSUE; CHONDROCALCINOSIS; HAND; HUMAN; IMAGE QUALITY; PROCEDURES; RADIOGRAPHY; REPRODUCIBILITY;

CALCIUM PYROPHOSPHATE; CHONDROCALCINOSIS; FEASIBILITY STUDIES; GOUT; HAND; HUMANS; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; URIC ACID;

EID: 84925255551     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0000000000000099     Document Type: Article

References (37)

1. Rutherford R, Pullan B, Isherwood I. X-ray energies for effective atomic number determination. Neuroradiology. 1976;11:23-28.
2. Avrin DE, Macovski A, Zatz LM. Clinical application of Compton and photoelectric reconstruction in computed tomography: preliminary results. Invest Radiol. 1978;13:217-222.
3. Brooks RA. A quantitative theory of the Hounsfield unit and its application to dual energy scanning. J Comput Assist Tomogr. 1977;1:487-493.
4. Karcaaltincaba M, Aktas A. Dual-energy CT revisited with multidetector CT: review of principles and clinical applications. Diagn Interv Radiol. 2011;17:181-194.
5. Marin D, Boll DT, Mileto A, et al. State of the art: dual-energy CT of the abdomen. Radiology. 2014;271:327-342.
6. Postma AA, Hofman PA, Stadler AA, et al. Dual-energy CT of the brain and intracranial vessels. AJR Am J Roentgenol. 2012;199(suppl 5):S26-S33.
7. Lu GM, Zhao YE, Zhang LJ, et al. Dual-energy CT of the lung. AJR Am J Roentgenol. 2012;199(suppl 5):S40-S53.
8. Desai MA, Peterson JJ, Garner HW, et al. Clinical utility of dual-energy CT for evaluation of tophaceous gout. Radiographics. 2011;31:1365-1375.
9. Gruber M, Bodner G, Rath E, et al. Dual-energy computed tomography compared with ultrasound in the diagnosis of gout. Rheumatology. 2014;53:173-179.
10. Dalbeth N, Choi HK. Dual-energy computed tomography for gout diagnosis and management. Curr Rheumatol Rep. 2013;15:1-7.
11. Koonce JD, Vliegenthart R, Schoepf UJ, et al. Accuracy of dual-energy computed tomography for the measurement of iodine concentration using cardiac CT protocols: validation in a phantom model. Eur Radiol. 2014;24:512-518.
12. Brockmann C, Jochum S, Sadick M, et al. Dual-energy CT angiography in peripheral arterial occlusive disease. Cardiovasc Intervent Radiol. 2009;32:630-637.
13. Boll DT, Patil NA, Paulson EK, et al. Renal stone assessment with dual-energy multidetector CT and advanced postprocessing techniques: improved characterization of renal stone composition - pilot study 1. Radiology. 2009;250:813-820.
14. Takahashi N, Hartman RP, Vrtiska TJ, et al. Dual-energy CT iodine-subtraction virtual unenhanced technique to detect urinary stones in an iodine-filled collecting system: a phantom study. AJR Am J Roentgenol. 2008;190:1169.
15. Feuerlein S, Heye TJ, Bashir MR, et al. Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracy. Invest Radiol. 2012;47:656-661.
16. Pache G, Krauss B, Strohm P, et al. Dual-energy CT virtual noncalcium technique: detecting posttraumatic bone marrow lesions - feasibility study 1. Radiology. 2010;256:617-624.
17. Nicolaou S, Liang T, Murphy DT, et al. Dual-energy CT: a promising new technique for assessment of the musculoskeletal system. AJR Am J Roentgenol. 2012;199(suppl 5):S78-S86.
18. Kulkarni NM, Eisner BH, Pinho DF, et al. Determination of renal stone composition in phantom and patients using single-source dual-energy computed tomography. J Comput Assist Tomogr. 2013;37:37-45.
19. Kaza RK, Platt JF, Cohan RH, et al. Dual-energy CTwith single-and dual-source scanners: current applications in evaluating the genitourinary tract. Radiographics. 2012;32:353-369.
20. Ruder TD, Thali Y, Bolliger SA, et al. Material differentiation in forensic radiology with single-source dual-energy computed tomography. Forensic Sci Med Pathol. 2013;9:163-169.
21. Morsbach F, Wurnig MC, Müller D, et al. Feasibility of single-source dual-energy computed tomography for urinary stone characterization and value of iterative reconstructions. Invest Radiol. 2013;49:125-130.
22. Shikhaliev PM. Photon counting spectral CT: improved material decomposition with K-edge-filtered x-rays. Phys Med Biol. 2012;57:1595.
23. Hemmingsson A, Jung B, Ytterbergh C. Dual energy computed tomography: simulated monoenergetic and material-selective imaging. J Comput Assist Tomogr. 1986;10:490.
24. Alvarez RE, Macovski A. Energy-selective reconstructions in x-ray computerised tomography. Phys Med Biol. 2002;21:733.
25. Marshall W, Hall E, Doost-Hoseini A, et al. An implementation of dual energy CT scanning. J Comput Assist Tomogr. 1984;8:745-749.
26. Di Chiro G, Brooks RA, Kessler RM, et al. Tissue signatures with dual-energy computed tomography. Radiology. 1979;131:521-523.
27. Hawkes D, Jackson DF, Parker R. Tissue analysis by dual-energy computed tomography. Br J Radiol. 1986;59:537-542.
28. Nicolaou S, Yong-Hing CJ, Galea-Soler S, et al. Dual-energy CT as a potential new diagnostic tool in the management of gout in the acute setting. Am J Roentgenol. 2010;194:1072-1078.
29. Artmann A, Ratzenböck M, Noszian I, et al. Dual energy CT-a new perspective in the diagnosis of gout [in German]. Rofo. 2010;182:261.
30. Choi HK, Al-Arfaj AM, Eftekhari A, et al. Dual energy computed tomography in tophaceous gout. Ann Rheum Dis. 2009;68:1609-1612.
31. Bongartz T, Glazebrook KN, Kavros SJ, et al. Dual-energy CT for the diagnosis of gout: an accuracy and diagnostic yield study. Ann Rheum Dis. 2014. doi: 10.1136/annrheumdis-2013-205095. [Epub ahead of print].
32. de Bucourt M, Scheurig-Münkler C, Feist E, et al. Cyst-like lesions in finger joints detected by conventional radiography: comparison with 320-row multidetector computed tomography. Arthritis Rheum. 2012;64:1283-1290.
33. Dalbeth N, Aati O, Kalluru R, et al. Relationship between structural joint damage and urate deposition in gout: a plain radiography and dual-energy CT study. Ann Rheum Dis. 2014. doi: 10.1136/annrheumdis-2013-204273. [Epub ahead of print].
34. Mallinson PI, Reagan AC, Coupal T, et al. The distribution of urate deposition within the extremities in gout: a review of 148 dual-energy CT cases. Skeletal Radiol. 2014;43:277-281.
35. Heinrich MP, Jenkinson M, Brady M, et al. Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling. Med Image Comput Comput Assist Interv. 2012;15:115-122.
36. Choi HK, Burns LC, Shojania K, et al. Dual energy CTin gout: a prospective validation study. Ann Rheum Dis. 2012;71:1466-1471.
37. Glazebrook KN, Guimarães LS, Murthy NS, et al. Identification of intraarticular and periarticular uric acid crystals with dual-energy CT: initial evaluation. Radiology. 2011;261:516-524.