Literature DB >> 32490833

Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors.

Jing-Lei Li, Wei-Tao Ye, Li-Fen Yan, Zai-Yi Liu, Xi-Ming Cao, Chang-Hong Liang1.   

Abstract

PURPOSE: We aimed to explore the influence of tube voltage, current and iterative reconstruction (IR) in computed tomography perfusion imaging (CTPI) and to compare CTPI parameters with microvessel density (MVD).
METHODS: Hepatic CTPI with three CTPI protocols (protocol A, tube voltage/current 80 kV/40 mAs; protocol B, tube voltage/current 80 kV/80 mAs; protocol C: tube voltage/current 100 kV/80 mAs) were performed in 25 rabbit liver VX2 tumor models, and filtered back projection (FBP) and IR were used for reconstruction of raw data. Hepatic arterial perfusion (HAP), hepatic portal perfusion (HPP), total perfusion (TP), hepatic arterial perfusion index (HPI), blood flow (BF) and blood volume (BV) of VX2 tumor and normal hepatic parenchyma were measured. Image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were quantified and radiation dose was recorded. MVD was counted using CD34 stain and compared with CTPI parameters.
RESULTS: The highest radiation dose was found in protocol C, followed by protocols B and A. IR lowered image noise and improved SNR and CNR in all three protocols. There was no statistical difference between HAP, HPP, TP, HPI, BF and BV of VX2 tumor and normal hepatic parenchyma among the three protocols (P > 0.05) with FBP or IR reconstruction, and no statistical difference between IR and FBP reconstruction (P > 0.05) in either protocol. MVD had a positive linear correlation with HAP, TP, BF, with best correlation observed with HAP; MVD of VX2 tumor showed no or poor correlation with HPI and BV.
CONCLUSION: CTPI parameters are not affected by tube voltage, current or reconstruction algorithm; HAP can best reflect MVD, but no correlation exists between BV and MVD.

Entities:  

Mesh:

Year:  2020        PMID: 32490833      PMCID: PMC7360069          DOI: 10.5152/dir.2019.19147

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  25 in total

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Journal:  Radiology       Date:  2018-07-17       Impact factor: 11.105

3.  Adaptive statistical iterative reconstruction versus filtered back projection in the same patient: 64 channel liver CT image quality and patient radiation dose.

Authors:  Lee M Mitsumori; William P Shuman; Janet M Busey; Orpheus Kolokythas; Kent M Koprowicz
Journal:  Eur Radiol       Date:  2011-06-18       Impact factor: 5.315

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5.  Quantitative perfusion analysis of malignant liver tumors: dynamic computed tomography and contrast-enhanced ultrasound.

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Review 7.  Strategies for CT radiation dose optimization.

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Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

Review 9.  CT perfusion of the liver: principles and applications in oncology.

Authors:  Se Hyung Kim; Aya Kamaya; Jürgen K Willmann
Journal:  Radiology       Date:  2014-08       Impact factor: 11.105

10.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
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