2014
DOI: 10.1097/rct.0000000000000142
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Quantification of the Fat Fraction in the Liver Using Dual-Energy Computed Tomography and Multimaterial Decomposition

Abstract: Quantification of the HFF using postcontrast DECT with MMD was feasible and showed comparable sensitivity and specificity to the precontrast SECT for the detection of hepatic steatosis.

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Cited by 43 publications
(45 citation statements)
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“…The results of the effective atomic numbers and the electron density values turned out to be quantitatively reliable Tables 3 and 4. The electron density ρ e is linearly displayed in an interval of [300, 400] in e/nm 3 and the effective atomic number Z eff in an interval of [5,9]. The tube voltage was 40 kVp.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The results of the effective atomic numbers and the electron density values turned out to be quantitatively reliable Tables 3 and 4. The electron density ρ e is linearly displayed in an interval of [300, 400] in e/nm 3 and the effective atomic number Z eff in an interval of [5,9]. The tube voltage was 40 kVp.…”
Section: Resultsmentioning
confidence: 99%
“…In conventional computed tomography (CT), the attenuation data or its alternative representation in Hounsfield units are energy-dependent and therefore of limited comparability. Dual energy computed tomography (DECT) related techniques including K-edge or spectral imaging are already used for improved diagnostic imaging of renal stones, gout, fat content quantification in the liver [2][3][4][5][6][7][8][9][10] or for body tissue characterization in radiation and particle therapy [11]. A decomposition of DECT data into two components based on Compton and photoelectric effect allows calculating the electron density and the effective atomic number, which are both physical quantities independent of the experimental conditions and are not energy dependent like the attenuation coefficient in standard computed tomography [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…Von den 14 Studien zur Fettquantifizierung in der Leber wurde die Fettquantifizierung in der DECT in 9 Studien gegenüber der Histologie verglichen [22][23][24][25][26][27][28][29][30], in 5 gegenüber der MRT-Chemical-Shift-Relaxometrie [5,24,25,27,28], in 4 gegenüber der MRS [5,25,28,29] und in 9 gegenüber der SECT [5,22,24,27,28,[31][32][33][34] (▶ Tab. 1).…”
Section: Ergebnisse: Fettquantifizierung In Der Leberunclassified
“…In den Studien, in denen die DECT gegenüber der Histologie verglichen wurde, wurden die DECT-Daten in den ältesten 1998 und 2003 erschienenen Studien sequenziell generiert [22,23]. Danach erfolgte die DECT-Datenerhebung über die Fast-kVP-Switching-DECT [24,25,27,29,30] sowie ab 2014 partiell auch mit der Dual-Source-DECT [26,28]. Lediglich 2 Studien untersuchten Patienten (v. a. Steatosis im Ultraschall) [22,29], die restlichen Messungen fanden in Ratten oder Kaninchen statt.…”
Section: Stellenwert Der Dect Gegenüber Der Histologieunclassified
“…Some centers are performing a 5- to 10-min “abbreviated” liver MRI examinations with fat-quantification sequences only, at a reduced cost less than that of abdominal US. Other steatosis quantification techniques (e.g., ultrasound CAP and material-specific CT reconstruction) aimed at lower cost and easier access are in development; these techniques can now be validated against a noninvasive reference standard, PDFF, rather than invasive and semi-quantitative histology, making these validation studies safer, less expensive, and feasible [77, 78]. …”
Section: Multi-parametric Quantitative Mrimentioning
confidence: 99%