Literature DB >> 9843287

Optimizing contrast enhancement during helical CT of the liver: a comparison of two bolus tracking techniques.

G D Schweiger1, P J Chang, B P Brown.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate a recently developed hardware and software system for CT scanning that generates images in real time and switches to helical CT scanning by either a visual cue or a region of interest (ROI) amplitude threshold. SUBJECTS AND METHODS: We randomly and prospectively divided 120 abdominal CT examinations into three groups. Two groups received 75 ml of contrast agent at 1.5 ml/sec. Helical CT scanning began after visualization of the contrast bolus arrival in the hepatic veins (visual cue triggering) (39 patients) or after reaching an ROI threshold (automated ROI threshold triggering) (39 patients). A third group served as a control group (42 patients) and received 150 ml of contrast agent at 1 ml/sec. Quality of hepatic enhancement was assessed objectively and subjectively. Comparisons were made after stratifying each group into three weight classes.
RESULTS: Errors occurred in 12 (31%) of 39 examinations in the group with automated ROI threshold triggering. In that group, we found a significantly (p < .04) lower mean hepatic enhancement in two of three weight categories, and a significantly (p < .04) lower mean subjective scan quality in one of three weight categories, than we found in the group with visual cue triggering.
CONCLUSION: Optimizing portal venous phase helical CT of the liver after a low-volume bolus of contrast agent and an injection rate of 1.5 ml/sec is best achieved by initiating helical CT scanning after visualizing the contrast bolus arrival within the liver rather than after reaching a preset attenuation threshold.

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Year:  1998        PMID: 9843287     DOI: 10.2214/ajr.171.6.9843287

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

1.  Study of an adaptive bolus chasing CT angiography.

Authors:  Er-Wei Bai; James R Bennett; Robert McCabe; Melhem J Sharafuddin; Henri Bai; John Halloran; Michael Vannier; Ying Liu; Chenglin Wang; Ge Wang
Journal:  J Xray Sci Technol       Date:  2006       Impact factor: 1.535

2.  Triple-phase computed tomography during arterial portography with bolus tracking for hepatic tumors.

Authors:  Motoki Nakai; Morio Sato; Akira Ikoma; Kohei Nakata; Shinya Sahara; Isao Takasaka; Hiroki Minamiguchi; Nobuyuki Kawai; Tetsuro Sonomura; Kazushi Kishi
Journal:  Jpn J Radiol       Date:  2010-02-26       Impact factor: 2.374

3.  Adaptive Bolus-chasing Computed Tomography Angiography in the Cases of Symmetric and Asymmetric Arterial Flows in Peripheral Arteries.

Authors:  Zhijun Cai; Ge Wang; Er-Wei Bai
Journal:  Biomed Signal Process Control       Date:  2009-10-01       Impact factor: 3.880

4.  Patency of cavopulmonary connection studied by single phase electron beam computed tomography.

Authors:  Byoung Wook Choi; Young Hwan Park; Jong Kyun Lee; Dong Joon Kim; Min Jung Kim; Kyu Ok Choe
Journal:  Int J Cardiovasc Imaging       Date:  2003-10       Impact factor: 2.357

5.  Adaptive Bolus Chasing Computed Tomography Angiography: Control Scheme and Experimental Results.

Authors:  Zhijun Cai; Colbin Erdahl; Kai Zeng; Tom Potts; Melhem Sharafuddin; Osama Saba; Ge Wang; Er-Wei Bai
Journal:  Biomed Signal Process Control       Date:  2008-10       Impact factor: 3.880

6.  Contrast-to-Noise Ratio Optimization in Coronary Computed Tomography Angiography: Validation in a Swine Model.

Authors:  Logan Hubbard; Shant Malkasian; Yixiao Zhao; Pablo Abbona; Sabee Molloi
Journal:  Acad Radiol       Date:  2018-08-30       Impact factor: 3.173

7.  Bolus characteristics based on Magnetic Resonance Angiography.

Authors:  Zhijun Cai; Alan Stolpen; Melhem J Sharafuddin; Robert McCabe; Henri Bai; Tom Potts; Michael Vannier; Debiao Li; Xiaoming Bi; James Bennett; Jafar Golzarian; Shiliang Sun; Ge Wang; Er-Wei Bai
Journal:  Biomed Eng Online       Date:  2006-10-17       Impact factor: 2.819

8.  Comprehensive Assessment of Coronary Artery Disease by Using First-Pass Analysis Dynamic CT Perfusion: Validation in a Swine Model.

Authors:  Logan Hubbard; Jerry Lipinski; Benjamin Ziemer; Shant Malkasian; Bahman Sadeghi; Hanna Javan; Elliott M Groves; Brian Dertli; Sabee Molloi
Journal:  Radiology       Date:  2017-10-23       Impact factor: 11.105

9.  Establishment of the intracranial hemodynamic model based on contrast medium and clinical applications.

Authors:  Yaoer Cheng; Wen He
Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.817

  9 in total

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