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Journal Abstract Search

187 related items for PubMed ID: 36295617

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  • 2. Multimaterial Decomposition Algorithm for the Quantification of Liver Fat Content by Using Fast-Kilovolt-Peak Switching Dual-Energy CT: Clinical Evaluation.
    Hyodo T, Yada N, Hori M, Maenishi O, Lamb P, Sasaki K, Onoda M, Kudo M, Mochizuki T, Murakami T.
    Radiology; 2017 Apr; 283(1):108-118. PubMed ID: 28212047
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  • 3. Hepatic fat quantification in dual-layer computed tomography using a three-material decomposition algorithm.
    Demondion E, Ernst O, Louvet A, Robert B, Kafri G, Langzam E, Vermersch M.
    Eur Radiol; 2024 Jun; 34(6):3708-3718. PubMed ID: 37955671
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  • 4. Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer.
    Wang X, Pan X, Zhou W, Jing Z, Yu F, Wang Y, Zeng J, Wu J, Zeng X, Zhang J.
    J Comput Assist Tomogr; 2024 Jun; 48(1):64-71. PubMed ID: 37558648
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  • 7. Quantitative Evaluation of Nonalcoholic Fatty Liver in Rat by Material Decomposition Techniques using Rapid-switching Dual Energy CT.
    Cao Q, Yan C, Han X, Wang Y, Zhao L.
    Acad Radiol; 2022 Jun; 29(6):e91-e97. PubMed ID: 34654622
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  • 9. Liver fat volume fraction measurements based on multi-material decomposition algorithm in patients with nonalcoholic fatty liver disease: the influences of blood vessel, location, and iodine contrast.
    Zhu L, Wang F, Wang H, Zhang J, Xie A, Pei J, Zhou J, Liu H.
    BMC Med Imaging; 2024 Feb 07; 24(1):37. PubMed ID: 38326746
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  • 10. Cutoff Values for Diagnosing Hepatic Steatosis Using Contemporary MRI-Proton Density Fat Fraction Measuring Methods.
    Park S, Kwon JH, Kim SY, Kang JH, Chung JI, Jang JK, Jang HY, Shim JH, Lee SS, Kim KW, Song GW.
    Korean J Radiol; 2022 Dec 07; 23(12):1260-1268. PubMed ID: 36447414
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  • 11. Can negligible hepatic steatosis determined by magnetic resonance imaging-proton density fat fraction obviate the need for liver biopsy in potential liver donors?
    Satkunasingham J, Nik HH, Fischer S, Menezes R, Selzner N, Cattral M, Grant D, Jhaveri K.
    Liver Transpl; 2018 Apr 07; 24(4):470-477. PubMed ID: 29080242
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  • 12. Detection of fatty liver using virtual non-contrast dual-energy CT.
    Zhang PP, Choi HH, Ohliger MA.
    Abdom Radiol (NY); 2022 Jun 07; 47(6):2046-2056. PubMed ID: 35306577
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  • 13. Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging.
    Kameda F, Tanabe M, Onoda H, Higashi M, Ariyoshi S, Ihara K, Iida E, Furukawa M, Okada M, Ito K.
    Abdom Radiol (NY); 2020 Sep 07; 45(9):2779-2785. PubMed ID: 32430511
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  • 15. Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging.
    Ota T, Hori M, Sasaki K, Onishi H, Nakamoto A, Tatsumi M, Fukui H, Ogawa K, Tomiyama N.
    Medicine (Baltimore); 2021 May 21; 100(20):e26109. PubMed ID: 34011134
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  • 17. Prospective Evaluation of Hepatic Steatosis Using Ultrasound Attenuation Imaging in Patients with Chronic Liver Disease with Magnetic Resonance Imaging Proton Density Fat Fraction as the Reference Standard.
    Jeon SK, Lee JM, Joo I, Yoon JH, Lee DH, Lee JY, Han JK.
    Ultrasound Med Biol; 2019 Jun 21; 45(6):1407-1416. PubMed ID: 30975533
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  • 19. Accuracy of Liver Fat Quantification With Advanced CT, MRI, and Ultrasound Techniques: Prospective Comparison With MR Spectroscopy.
    Kramer H, Pickhardt PJ, Kliewer MA, Hernando D, Chen GH, Zagzebski JA, Reeder SB.
    AJR Am J Roentgenol; 2017 Jan 21; 208(1):92-100. PubMed ID: 27726414
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