Literature DB >> 25626401

Effect on perfusion values of sampling interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver.

Chaan S Ng1, Brian P Hobbs, Wei Wei, Ella F Anderson, Delise H Herron, James C Yao, Adam G Chandler.   

Abstract

OBJECTIVE: This study aimed to assess the effects of sampling interval (SI) of computed tomographic (CT) perfusion acquisitions on CT perfusion values in normal liver and liver metastases from neuroendocrine tumors.
METHODS: Computed tomographic perfusion in 16 patients with neuroendocrine liver metastases was analyzed using distributed-parameter modeling to yield tissue blood flow, blood volume, mean transit time, permeability, and hepatic arterial fraction for tumor and normal liver. Computed tomographic perfusion values for the reference SI of 0.5 s (SI0.5) were compared with those of SI data sets of 1 second, 2 seconds, 3 seconds, and 4 seconds using mixed-effects model analyses.
RESULTS: Increases in SI beyond 1 second were associated with significant and increasing departures of CT perfusion parameters from the reference values at SI0.5 (P ≤ 0.0009). Computed tomographic perfusion values deviated from the reference with increasing uncertainty with increasing SIs. Findings for normal liver were concordant.
CONCLUSIONS: Increasing SIs beyond 1 second yield significantly different CT perfusion parameter values compared with the reference values at SI0.5.

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Year:  2015        PMID: 25626401      PMCID: PMC4433407          DOI: 10.1097/RCT.0000000000000212

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  22 in total

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2.  Evaluation of strategies to reduce radiation dose in perfusion CT imaging using a reproducible biologic phantom.

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4.  Validation of motion correction techniques for liver CT perfusion studies.

Authors:  A Chandler; W Wei; E F Anderson; D H Herron; Z Ye; C S Ng
Journal:  Br J Radiol       Date:  2012-02-28       Impact factor: 3.039

5.  Metastases to the liver from neuroendocrine tumors: effect of duration of scan acquisition on CT perfusion values.

Authors:  Chaan S Ng; Brian P Hobbs; Adam G Chandler; Ella F Anderson; Delise H Herron; Chusilp Charnsangavej; James Yao
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

6.  Dynamic perfusion CT: optimizing the temporal resolution for the calculation of perfusion CT parameters in stroke patients.

Authors:  Andreas Kämena; Florian Streitparth; Christian Grieser; Lukas Lehmkuhl; Basil Jamil; Katarzyna Wojtal; Jens Ricke; Maciej Pech
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7.  Dynamic perfusion CT: optimizing the temporal resolution and contrast volume for calculation of perfusion CT parameters in stroke patients.

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8.  Effect of sampling frequency on perfusion values in perfusion CT of lung tumors.

Authors:  Chaan S Ng; Adam G Chandler; Wei Wei; Ella F Anderson; Delise H Herron; Razelle Kurzrock; Chusilp Charnsangavej
Journal:  AJR Am J Roentgenol       Date:  2013-02       Impact factor: 3.959

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Authors:  Martina Betz; Hans Georg Kopp; Daniel Spira; Claus D Claussen; Marius Horger
Journal:  Acta Radiol       Date:  2013-05-12       Impact factor: 1.990

10.  Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue--initial experience.

Authors:  Dushyant V Sahani; Nagaraj-Setty Holalkere; Peter R Mueller; Andrew X Zhu
Journal:  Radiology       Date:  2007-06       Impact factor: 11.105

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  4 in total

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Journal:  J Comput Assist Tomogr       Date:  2018 May/Jun       Impact factor: 1.826

2.  Can dual-energy CT replace perfusion CT for the functional evaluation of advanced hepatocellular carcinoma?

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3.  CT liver perfusion in patients with hepatocellular carcinoma: can we modify acquisition protocol to reduce patient exposure?

Authors:  Georgios Kalarakis; Kostas Perisinakis; Evangelos Akoumianakis; Ioannis Karageorgiou; Adam Hatzidakis
Journal:  Eur Radiol       Date:  2020-09-02       Impact factor: 5.315

4.  CT Perfusion Characteristics Identify Metastatic Sites in Liver.

Authors:  Yuan Wang; Brian P Hobbs; Chaan S Ng
Journal:  Biomed Res Int       Date:  2015-10-05       Impact factor: 3.411

  4 in total

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