Non-contrast cardiac CT-based quantitative evaluation of epicardial and intra-thoracic fat in healthy, recently menopausal women: Reproducibility data from the Kronos Early Estrogen Prevention Study
Cardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can facilitate in the serial assessment of cardiac fat by computed tomography (CT). We assessed the intra- and inter-observer variability of cardiac fat volumet...
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Published in | Journal of cardiovascular computed tomography Vol. 14; no. 1; pp. 55 - 59 |
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Abstract | Cardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can facilitate in the serial assessment of cardiac fat by computed tomography (CT). We assessed the intra- and inter-observer variability of cardiac fat volumetric measurements using a semi-automated CT software.
We used non-contrast coronary calcium CT scans to quantify epicardial and intra-thoracic fat volumes. Two expert readers analyzed baseline and follow up CT scans of 45 subjects by using a semi-automated CT software (QFAT 2.0, Cedars Sinai-Medical Center). Correlation and Bland-Altman analysis was performed for both intra- and inter-observer comparisons for each cardiac fat type.
The intra-observer correlation coefficients ranged between 0.86 to 0.99 and 0.87 to 0.99 for epicardial (median fat per reader (cm3) 20.9 to 25.7) and intra-thoracic (median fat per reader (cm3) 27.1 to 31.6) fat volumes respectively, with no significant differences between individual data points (all p > 0.38). The inter-observer correlation coefficient was 0.99 (p < 0.0001 for correlation) for both epicardial and intra-thoracic fat. By Bland-Altman analysis for epicardial fat measurements, mean difference of intra-observer was 0.90 cm3 with 95% confidence intervals (0.22,1.7) and −1.8 cm3 for inter-observer, with 95% CI (−2.9, −0.69). Bland-Altman plots for intra-thoracic fat measurements were similarly impressive for both inter- and intra-observer reads.
Our data showed that measuring epicardial and intra-thoracic fat volumes by CT using a semi-automated software has excellent intra-observer and inter-observer reliability. Cardiac fat volumes can be obtained easily and reproducibly from routine calcium scoring scans and may help in assessing cardiovascular risk.
URL: https://www.clinicaltrials.gov. Unique identifier: NCT00154180; Keywords: Epicardial fat volume; intra-thoracic fat volume; computed tomography; intra-observer; inter-observer. |
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AbstractList | Cardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can facilitate in the serial assessment of cardiac fat by computed tomography (CT). We assessed the intra- and inter-observer variability of cardiac fat volumetric measurements using a semi-automated CT software.
We used non-contrast coronary calcium CT scans to quantify epicardial and intra-thoracic fat volumes. Two expert readers analyzed baseline and follow up CT scans of 45 subjects by using a semi-automated CT software (QFAT 2.0, Cedars Sinai-Medical Center). Correlation and Bland-Altman analysis was performed for both intra- and inter-observer comparisons for each cardiac fat type.
The intra-observer correlation coefficients ranged between 0.86 to 0.99 and 0.87 to 0.99 for epicardial (median fat per reader (cm
) 20.9 to 25.7) and intra-thoracic (median fat per reader (cm
) 27.1 to 31.6) fat volumes respectively, with no significant differences between individual data points (all p > 0.38). The inter-observer correlation coefficient was 0.99 (p < 0.0001 for correlation) for both epicardial and intra-thoracic fat. By Bland-Altman analysis for epicardial fat measurements, mean difference of intra-observer was 0.90 cm
with 95% confidence intervals (0.22,1.7) and -1.8 cm
for inter-observer, with 95% CI (-2.9, -0.69). Bland-Altman plots for intra-thoracic fat measurements were similarly impressive for both inter- and intra-observer reads.
Our data showed that measuring epicardial and intra-thoracic fat volumes by CT using a semi-automated software has excellent intra-observer and inter-observer reliability. Cardiac fat volumes can be obtained easily and reproducibly from routine calcium scoring scans and may help in assessing cardiovascular risk.
URL: https://www.clinicaltrials.gov. Unique identifier: NCT00154180; Keywords: Epicardial fat volume; intra-thoracic fat volume; computed tomography; intra-observer; inter-observer. BACKGROUNDCardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can facilitate in the serial assessment of cardiac fat by computed tomography (CT). We assessed the intra- and inter-observer variability of cardiac fat volumetric measurements using a semi-automated CT software. METHODSWe used non-contrast coronary calcium CT scans to quantify epicardial and intra-thoracic fat volumes. Two expert readers analyzed baseline and follow up CT scans of 45 subjects by using a semi-automated CT software (QFAT 2.0, Cedars Sinai-Medical Center). Correlation and Bland-Altman analysis was performed for both intra- and inter-observer comparisons for each cardiac fat type. RESULTSThe intra-observer correlation coefficients ranged between 0.86 to 0.99 and 0.87 to 0.99 for epicardial (median fat per reader (cm3) 20.9 to 25.7) and intra-thoracic (median fat per reader (cm3) 27.1 to 31.6) fat volumes respectively, with no significant differences between individual data points (all p > 0.38). The inter-observer correlation coefficient was 0.99 (p < 0.0001 for correlation) for both epicardial and intra-thoracic fat. By Bland-Altman analysis for epicardial fat measurements, mean difference of intra-observer was 0.90 cm3 with 95% confidence intervals (0.22,1.7) and -1.8 cm3 for inter-observer, with 95% CI (-2.9, -0.69). Bland-Altman plots for intra-thoracic fat measurements were similarly impressive for both inter- and intra-observer reads. CONCLUSIONSOur data showed that measuring epicardial and intra-thoracic fat volumes by CT using a semi-automated software has excellent intra-observer and inter-observer reliability. Cardiac fat volumes can be obtained easily and reproducibly from routine calcium scoring scans and may help in assessing cardiovascular risk. CLINICAL TRIAL REGISTRATIONURL: https://www.clinicaltrials.gov. Unique identifier: NCT00154180; Keywords: Epicardial fat volume; intra-thoracic fat volume; computed tomography; intra-observer; inter-observer. Cardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can facilitate in the serial assessment of cardiac fat by computed tomography (CT). We assessed the intra- and inter-observer variability of cardiac fat volumetric measurements using a semi-automated CT software. We used non-contrast coronary calcium CT scans to quantify epicardial and intra-thoracic fat volumes. Two expert readers analyzed baseline and follow up CT scans of 45 subjects by using a semi-automated CT software (QFAT 2.0, Cedars Sinai-Medical Center). Correlation and Bland-Altman analysis was performed for both intra- and inter-observer comparisons for each cardiac fat type. The intra-observer correlation coefficients ranged between 0.86 to 0.99 and 0.87 to 0.99 for epicardial (median fat per reader (cm3) 20.9 to 25.7) and intra-thoracic (median fat per reader (cm3) 27.1 to 31.6) fat volumes respectively, with no significant differences between individual data points (all p > 0.38). The inter-observer correlation coefficient was 0.99 (p < 0.0001 for correlation) for both epicardial and intra-thoracic fat. By Bland-Altman analysis for epicardial fat measurements, mean difference of intra-observer was 0.90 cm3 with 95% confidence intervals (0.22,1.7) and −1.8 cm3 for inter-observer, with 95% CI (−2.9, −0.69). Bland-Altman plots for intra-thoracic fat measurements were similarly impressive for both inter- and intra-observer reads. Our data showed that measuring epicardial and intra-thoracic fat volumes by CT using a semi-automated software has excellent intra-observer and inter-observer reliability. Cardiac fat volumes can be obtained easily and reproducibly from routine calcium scoring scans and may help in assessing cardiovascular risk. URL: https://www.clinicaltrials.gov. Unique identifier: NCT00154180; Keywords: Epicardial fat volume; intra-thoracic fat volume; computed tomography; intra-observer; inter-observer. |
Author | Dey, Damini Flores, Ferdinand Lui, Li-Yung Kearns, Ann E. Jayawardena, Eranthi Dailing, Christopher Qureshi, Assad Nakanishi, Rine Dickens, Brooke Kim, Michael Li, Dong Black, Dennis Hathiramani, Nicolai Budoff, Matthew J. |
AuthorAffiliation | 4 Research Institute, California Pacific Medical Center, San Francisco, CA, USA 5 Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA 1 Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA 90502 3 Mayo Clinic, 200 1 st Ave SW, Rochester, MN 55902 2 Qfat CT, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048 |
AuthorAffiliation_xml | – name: 1 Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA 90502 – name: 5 Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA – name: 3 Mayo Clinic, 200 1 st Ave SW, Rochester, MN 55902 – name: 2 Qfat CT, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048 – name: 4 Research Institute, California Pacific Medical Center, San Francisco, CA, USA |
Author_xml | – sequence: 1 givenname: Eranthi surname: Jayawardena fullname: Jayawardena, Eranthi email: ejayawardena@labiomed.org organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 2 givenname: Dong surname: Li fullname: Li, Dong email: dli@labiomed.org organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 3 givenname: Rine surname: Nakanishi fullname: Nakanishi, Rine email: rnakanishi@labiomed.org organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 4 givenname: Damini surname: Dey fullname: Dey, Damini email: damini.dey@cshs.org organization: Qfat CT, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA – sequence: 5 givenname: Christopher surname: Dailing fullname: Dailing, Christopher email: cdailing@labiomed.org organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 6 givenname: Assad surname: Qureshi fullname: Qureshi, Assad email: assadbqureshi@gmail.com organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 7 givenname: Brooke surname: Dickens fullname: Dickens, Brooke email: brookedickens23@gmail.com organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 8 givenname: Nicolai surname: Hathiramani fullname: Hathiramani, Nicolai email: nicolaihathiramani@gmail.com organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 9 givenname: Michael surname: Kim fullname: Kim, Michael email: michaelkim03@gmail.com organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 10 givenname: Ferdinand surname: Flores fullname: Flores, Ferdinand email: fflores@labiomed.org organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA – sequence: 11 givenname: Ann E. surname: Kearns fullname: Kearns, Ann E. email: kearns.ann@mayo.edu organization: Mayo Clinic, 200 1stAve SW, Rochester, MN, 55902, USA – sequence: 12 givenname: Li-Yung surname: Lui fullname: Lui, Li-Yung email: llui@sfcc-cpmc.net organization: Research Institute, California Pacific Medical Center, San Francisco, CA, USA – sequence: 13 givenname: Dennis surname: Black fullname: Black, Dennis email: dblack@psg.ucsf.edu organization: Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA – sequence: 14 givenname: Matthew J. surname: Budoff fullname: Budoff, Matthew J. email: mbudoff@labiomed.org organization: Los Angeles Biomedical Research Institute, 1124 West Carson St, Torrance, CA, 90502, USA |
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Snippet | Cardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can facilitate in... BACKGROUNDCardiac fat is emerging as an important parameter for cardiovascular risk stratification. Accurate and reproducible volumetric measurements can... |
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SubjectTerms | Adipose Tissue - diagnostic imaging Adiposity Female Healthy Volunteers Humans Menopause Middle Aged Observer Variation Pericardium - diagnostic imaging Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Reproducibility of Results Retrospective Studies Tomography, X-Ray Computed United States |
Title | Non-contrast cardiac CT-based quantitative evaluation of epicardial and intra-thoracic fat in healthy, recently menopausal women: Reproducibility data from the Kronos Early Estrogen Prevention Study |
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