Literature DB >> 11598249

Hepatic imaging with multidetector CT.

H Ji1, J D McTavish, K J Mortele, W Wiesner, P R Ros.   

Abstract

Combining the advantages of a multirow detector array with a fast gantry rotation time, multidetector computed tomographic (CT) scanners can acquire sections at a faster rate than was previously possible. As a result, multidetector CT permits scanning during multiple specific phases of intravenous contrast enhancement and the acquisition of very thin sections over a large area, allowing the creation of multiplanar reconstructions with high z-axis resolution. The authors present an imaging strategy for the diagnosis and staging of hepatic pathologic conditions that emphasizes the role of multidetector CT. Users must master several scanning parameters to obtain the best image quality. For hepatic CT, it is practical to use relatively narrow collimation, increasing the pitch as needed to cover the entire liver. The choice of reconstruction interval is dependent on the problem for which the study is being performed. Water is recommended as an oral contrast agent for non-axial reconstructions, since high-attenuation oral contrast agents might degrade them. Appropriate scanning delays for hepatic CT are dependent on the contrast-agent injection strategy used. A triple-pass technique, highlighting the arterial, parenchymal, and portal venous phases of enhancement, is recommended.

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Year:  2001        PMID: 11598249     DOI: 10.1148/radiographics.21.suppl_1.g01oc04s71

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  3 in total

Review 1.  [Radiological diagnosis of primary hepatic malignancy].

Authors:  Benjamin Henninger; Johannes Petersen; Werner Jaschke
Journal:  Wien Med Wochenschr       Date:  2013-02-08

2.  Three-dimensional conditional generative adversarial network-based virtual thin-slice technique for the morphological evaluation of the spine.

Authors:  Atsushi Nakamoto; Masatoshi Hori; Hiromitsu Onishi; Takashi Ota; Hideyuki Fukui; Kazuya Ogawa; Jun Masumoto; Akira Kudo; Yoshiro Kitamura; Shoji Kido; Noriyuki Tomiyama
Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

3.  Computed tomographic features for differentiating benign from malignant liver lesions in dogs.

Authors:  Rommaneeya Leela-Arporn; Hiroshi Ohta; Genya Shimbo; Kiwamu Hanazono; Tatsuyuki Osuga; Keitaro Morishita; Noboru Sasaki; Mitsuyoshi Takiguchi
Journal:  J Vet Med Sci       Date:  2019-10-10       Impact factor: 1.267

  3 in total

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