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Research Article
Mengsu Zeng
Zhongshan Hospital of Fudan University
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
Background：Role of epicardial fat (EF) had expended from a marker of cardiovascular risk to indicators of several systemic physiological effects and needed to be measured in more scenarios. The present study aimed to determine whether the EF volume (EFV) and mean attenuation (EFA) measured on non-contrast routine chest-CT (RCCT) could be more consistent with that on coronary CT angiography (CCTA) by adjusting the threshold of fatty attenuation.
Methods: Totally 83 subjects simultaneously underwent CCTA and RCCT were enrolled. EFV and EFA were quantified on CCTA using threshold of (N30) (-190HU, -30HU) as reference, and also measured on RCCT using threshold of N30, N40 (-190HU, -40HU), N45 (-190HU, -45HU) respectively. Correlation and agreement of EF metrics between two models and differences between groups with coronary plaque (Plaque (+)) and without plaque (Plaque (-)) were analyzed.
Results: EFV and EFA from RCCT using N30, N40 and N45 correlated well with reference (EFV: r2=0.974, 0.976, 0.972, P<0.001; EFA: r2=0.516, 0.500, 0.477, P<0.001). Threshold adjusting was able to reduce the mean difference, while increase the difference of EFA. Data measured on CCTA and RCCT both demonstrated the significantly larger EFV of Plaque (+) group than Plaque (-) group (P<0.05). The significantly difference of EFA was only shown on RCCT using N30 (Plaque (+) vs (-): -80±4.4HU vs-78±4HU, P=0.030).
Conclusion: The consistency of EFV measured on RCCT could be improved through adjustment of attenuation threshold. The EFA assessment may have additional information relating to underlying pathophysiological status.
Keywords
Computed tomography, Atherosclerosis, Epicardial fat volume, Epicardial fat attenuation, Coronary artery disease
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No competing interests reported.
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CURRENT STATUS: Under Review
Version 1
Posted 25 May, 2021
No community comments so far
Reviewers agreed
On 18 Jun, 2021
Reviewers invited
Invitations sent on 22 May, 2021
Editor assigned
On 21 May, 2021
Editor invited
On 20 May, 2021
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On 20 May, 2021
First submitted
On 11 May, 2021
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Subject Areas
Nuclear Medicine & Medical Imaging
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This preprint is under consideration at BMC Medical Imaging. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Mengsu Zeng
Zhongshan Hospital of Fudan University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 25 May, 2021
No community comments so far
Reviewers agreed
On 18 Jun, 2021
Reviewers invited
Invitations sent on 22 May, 2021
Editor assigned
On 21 May, 2021
Editor invited
On 20 May, 2021
Submission checks complete
On 20 May, 2021
First submitted
On 11 May, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background：Role of epicardial fat (EF) had expended from a marker of cardiovascular risk to indicators of several systemic physiological effects and needed to be measured in more scenarios. The present study aimed to determine whether the EF volume (EFV) and mean attenuation (EFA) measured on non-contrast routine chest-CT (RCCT) could be more consistent with that on coronary CT angiography (CCTA) by adjusting the threshold of fatty attenuation.
Methods: Totally 83 subjects simultaneously underwent CCTA and RCCT were enrolled. EFV and EFA were quantified on CCTA using threshold of (N30) (-190HU, -30HU) as reference, and also measured on RCCT using threshold of N30, N40 (-190HU, -40HU), N45 (-190HU, -45HU) respectively. Correlation and agreement of EF metrics between two models and differences between groups with coronary plaque (Plaque (+)) and without plaque (Plaque (-)) were analyzed.
Results: EFV and EFA from RCCT using N30, N40 and N45 correlated well with reference (EFV: r2=0.974, 0.976, 0.972, P<0.001; EFA: r2=0.516, 0.500, 0.477, P<0.001). Threshold adjusting was able to reduce the mean difference, while increase the difference of EFA. Data measured on CCTA and RCCT both demonstrated the significantly larger EFV of Plaque (+) group than Plaque (-) group (P<0.05). The significantly difference of EFA was only shown on RCCT using N30 (Plaque (+) vs (-): -80±4.4HU vs-78±4HU, P=0.030).
Conclusion: The consistency of EFV measured on RCCT could be improved through adjustment of attenuation threshold. The EFA assessment may have additional information relating to underlying pathophysiological status.
Figure 1
Figure 2
Figure 3
Figure 4
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