Quantification of Liver Fat in the Presence of Iron and Iodine

Fischer, Michael A.; Gnannt, Ralph; Raptis, Dimitri A.; Reiner, Caecilia S.; Clavien, Pierre‐Alain; Schmidt, Bernhard; Leschka, Sebastian; Alkadhi, Hatem; Goetti, Robert

doi:10.1097/rli.0b013e31820e1486

Cited by 111 publications

(95 citation statements)

References 29 publications

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“…Nevertheless, large-scale application would still be limited by cost and availability, as well as the lack of pre-existing retrospective data with built-in follow-up time. Dual-energy CT may also prove useful for quantification of hepatic fat in the presence of hepatic iron but also lacks a longstanding history for retrospective analysis [37].…”

Section: Discussionmentioning

confidence: 99%

Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: implications for the investigation of the natural history of incidental steatosis

et al. 2011

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Section: Discussionmentioning

confidence: 99%

Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: implications for the investigation of the natural history of incidental steatosis

et al. 2011

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“…Analysing the virtual spectral curves from monoenergetic reconstructions of focal liver lesions might be helpful in differentiating benign from malign liver tumours [40]. Potential risk factors of CC like steatosis and iron overload can be estimated by employing dedicated DECT post-processing techniques [41,42]. Functional imaging of volume perfusion CT (VPCT) can help to assess the exact vascularization of the tumour in CC.…”

Section: Computed Tomographymentioning

confidence: 99%

Imaging of Cholangiocarcinoma

Olthof¹,

Othman²,

Clasen³

et al. 2016

Visc Med

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Cholangiocarcinoma (CC) is the second most common primary hepatobiliary tumour, and it is increasing in incidence. Imaging characteristics, behaviour, and therapeutic strategies in CC differ significantly, depending on the morphology and location of the tumour. In cross-sectional imaging, CCs can be classified according to the growth pattern (mass-forming, periductal infiltrating, intraductal) and the location (intrahepatic, perihilar, extrahepatic/distal). The prognosis of CC is unfavourable and surgical resection is the only curative treatment option; thus, early diagnosis (also in recurrent disease) and accurate staging including the evaluation of lymph node involvement and vascular infiltration is crucial. However, the diagnostic evaluation of CC is challenging due to the heterogeneous nature of the tumour. Diagnostic modalities used in the imaging of CC include transabdominal ultrasound, endosonography, computed tomography, magnetic resonance imaging with cholangiopancreatography, and hybrid imaging such as positron emission tomography/computed tomography. In this review, the potential of cross-sectional imaging modalities in primary staging, treatment monitoring, and detection of recurrent disease will be discussed.

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“…Postprocessing was performed using a dedicated workstation equipped with commercial DE postprocessing software (Syngo Dual Energy, version VA34A; Siemens Healthcare, Forchheim, Germany). A dual-energy 3-material decomposition algorithm was used to differentiate yellow marrow and red marrow for imaging analysis (8). Using the knee VNC application (Syngo Dual Energy, version VA34A; Siemens Healthcare, Forchheim, Germany), three-dimensional color-coded VNC images were obtained for further analysis (knee VNC setting of Syngo Dual Energy, Siemens Healthcare, Forchheim, Germany).…”

Section: Ct Image Reconstruction and Postprocessingmentioning

confidence: 99%

Dual-Energy CT for Detection of Traumatic Bone Bruises in the Knee Joint

Seo

Sohn

Lee

et al. 2013

J Korean Soc Radiol

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This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper was supported by Wonkwang university in 2012.Purpose: To evaluate the diagnostic performance of dual-energy computed tomography (DECT) in detecting traumatic bone marrow lesions in patients with acute knee injury. Materials and Methods: Between August 2011 and June 2012, 22 patients presenting with an acute knee injury, including 4 patients who were referred for bilateral knee trauma, underwent DECT (80 kVp and 140 kVp) and MR imaging. DECT data were postprocessed using a three-dimensional, color-coded, virtual non-calcium technique (VNC). DECT data were graded by 2 blinded independent readers using a four-point system (1 = distinct bone marrow lesion, 2 = less distinct bone marrow lesion, 3 = equivocal, 4 = none) for 6 femoral and tibial regions and 2 patellar regions. Routine MR knee imaging served as the reference standard. Results: MR images showed bone bruises in 81 of 364 regions. The overall sensitivity, specificity, positive predictive value, and negative predictive value of DECT for bone bruises were 65.4%, 98.2%, 91.4%, and 90.8%, respectively, for Reader 1 and 70.3%, 93.6%, 76.0%, and 91.7%, respectively, for Reader 2. In particular, tibial bone bruises could be found more easily with better sensitivity (80.2%). Conclusion:The color-coded VNC technique with reconstructions from the DECT maybe helpful in detecting traumatic bone bruises with moderate sensitivity and excellent specificity compared to MR imaging.

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Quantification of Liver Fat in the Presence of Iron and Iodine

Cited by 111 publications

References 29 publications

Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: implications for the investigation of the natural history of incidental steatosis

Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: implications for the investigation of the natural history of incidental steatosis

Imaging of Cholangiocarcinoma

Dual-Energy CT for Detection of Traumatic Bone Bruises in the Knee Joint

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