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Estimating heart mass from heart volume as measured from post-mortem computed tomography

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Estimating heart mass from heart volume as measured from post-mortem computed tomography. / Aitken-Buck, Hamish M; Moore, Matthew; Whalley, Gillian A; Lohner, Larissa; Ondruschka, Benjamin; Coffey, Sean; Tse, Rexson D; Lamberts, Regis R.

In: FORENSIC SCI MED PAT, Vol. 18, No. 3, 09.2022, p. 333-342.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Aitken-Buck, HM, Moore, M, Whalley, GA, Lohner, L, Ondruschka, B, Coffey, S, Tse, RD & Lamberts, RR 2022, 'Estimating heart mass from heart volume as measured from post-mortem computed tomography', FORENSIC SCI MED PAT, vol. 18, no. 3, pp. 333-342. https://doi.org/10.1007/s12024-022-00478-1

APA

Aitken-Buck, H. M., Moore, M., Whalley, G. A., Lohner, L., Ondruschka, B., Coffey, S., Tse, R. D., & Lamberts, R. R. (2022). Estimating heart mass from heart volume as measured from post-mortem computed tomography. FORENSIC SCI MED PAT, 18(3), 333-342. https://doi.org/10.1007/s12024-022-00478-1

Vancouver

Aitken-Buck HM, Moore M, Whalley GA, Lohner L, Ondruschka B, Coffey S et al. Estimating heart mass from heart volume as measured from post-mortem computed tomography. FORENSIC SCI MED PAT. 2022 Sep;18(3):333-342. https://doi.org/10.1007/s12024-022-00478-1

Bibtex

@article{9ecf1ef7077945d7b3917f02926cc961,
title = "Estimating heart mass from heart volume as measured from post-mortem computed tomography",
abstract = "Heart mass can be predicted from heart volume as measured from post-mortem computed tomography (PMCT), but with limited accuracy. Although related to heart mass, age, sex, and body dimensions have not been included in previous studies using heart volume to estimate heart mass. This study aimed to determine whether heart mass estimation can be improved when age, sex, and body dimensions are used as well as heart volume. Eighty-seven (24 female) adult post-mortem cases were investigated. Univariable predictors of heart mass were determined by Spearman correlation and simple linear regression. Stepwise linear regression was used to generate heart mass prediction equations. Heart mass estimate performance was tested using median mass comparison, linear regression, and Bland-Altman plots. Median heart mass (P = 0.0008) and heart volume (P = 0.008) were significantly greater in male relative to female cases. Alongside female sex and body surface area (BSA), heart mass was univariably associated with heart volume in all cases (R2 = 0.72) and in male (R2 = 0.70) and female cases (R2 = 0.64) when segregated. In multivariable regression, heart mass was independently associated with age and BSA (R2 adjusted = 0.46-0.54). Addition of heart volume improved multivariable heart mass prediction in the total cohort (R2 adjusted = 0.78), and in male (R2 adjusted = 0.74) and female (R2 adjusted = 0.74) cases. Heart mass estimated from multivariable models incorporating heart volume, age, sex, and BSA was more predictive of actual heart mass (R2 = 0.75-0.79) than models incorporating either age, sex, and BSA only (R2 = 0.48-0.57) or heart volume only (R2 = 0.64-0.73). Heart mass can be more accurately predicted from heart volume measured from PMCT when combined with the classical predictors, age, sex, and BSA.",
author = "Aitken-Buck, {Hamish M} and Matthew Moore and Whalley, {Gillian A} and Larissa Lohner and Benjamin Ondruschka and Sean Coffey and Tse, {Rexson D} and Lamberts, {Regis R}",
note = "{\textcopyright} 2022. The Author(s).",
year = "2022",
month = sep,
doi = "10.1007/s12024-022-00478-1",
language = "English",
volume = "18",
pages = "333--342",
journal = "FORENSIC SCI MED PAT",
issn = "1547-769X",
publisher = "Humana Press",
number = "3",

}

RIS

TY - JOUR

T1 - Estimating heart mass from heart volume as measured from post-mortem computed tomography

AU - Aitken-Buck, Hamish M

AU - Moore, Matthew

AU - Whalley, Gillian A

AU - Lohner, Larissa

AU - Ondruschka, Benjamin

AU - Coffey, Sean

AU - Tse, Rexson D

AU - Lamberts, Regis R

N1 - © 2022. The Author(s).

PY - 2022/9

Y1 - 2022/9

N2 - Heart mass can be predicted from heart volume as measured from post-mortem computed tomography (PMCT), but with limited accuracy. Although related to heart mass, age, sex, and body dimensions have not been included in previous studies using heart volume to estimate heart mass. This study aimed to determine whether heart mass estimation can be improved when age, sex, and body dimensions are used as well as heart volume. Eighty-seven (24 female) adult post-mortem cases were investigated. Univariable predictors of heart mass were determined by Spearman correlation and simple linear regression. Stepwise linear regression was used to generate heart mass prediction equations. Heart mass estimate performance was tested using median mass comparison, linear regression, and Bland-Altman plots. Median heart mass (P = 0.0008) and heart volume (P = 0.008) were significantly greater in male relative to female cases. Alongside female sex and body surface area (BSA), heart mass was univariably associated with heart volume in all cases (R2 = 0.72) and in male (R2 = 0.70) and female cases (R2 = 0.64) when segregated. In multivariable regression, heart mass was independently associated with age and BSA (R2 adjusted = 0.46-0.54). Addition of heart volume improved multivariable heart mass prediction in the total cohort (R2 adjusted = 0.78), and in male (R2 adjusted = 0.74) and female (R2 adjusted = 0.74) cases. Heart mass estimated from multivariable models incorporating heart volume, age, sex, and BSA was more predictive of actual heart mass (R2 = 0.75-0.79) than models incorporating either age, sex, and BSA only (R2 = 0.48-0.57) or heart volume only (R2 = 0.64-0.73). Heart mass can be more accurately predicted from heart volume measured from PMCT when combined with the classical predictors, age, sex, and BSA.

AB - Heart mass can be predicted from heart volume as measured from post-mortem computed tomography (PMCT), but with limited accuracy. Although related to heart mass, age, sex, and body dimensions have not been included in previous studies using heart volume to estimate heart mass. This study aimed to determine whether heart mass estimation can be improved when age, sex, and body dimensions are used as well as heart volume. Eighty-seven (24 female) adult post-mortem cases were investigated. Univariable predictors of heart mass were determined by Spearman correlation and simple linear regression. Stepwise linear regression was used to generate heart mass prediction equations. Heart mass estimate performance was tested using median mass comparison, linear regression, and Bland-Altman plots. Median heart mass (P = 0.0008) and heart volume (P = 0.008) were significantly greater in male relative to female cases. Alongside female sex and body surface area (BSA), heart mass was univariably associated with heart volume in all cases (R2 = 0.72) and in male (R2 = 0.70) and female cases (R2 = 0.64) when segregated. In multivariable regression, heart mass was independently associated with age and BSA (R2 adjusted = 0.46-0.54). Addition of heart volume improved multivariable heart mass prediction in the total cohort (R2 adjusted = 0.78), and in male (R2 adjusted = 0.74) and female (R2 adjusted = 0.74) cases. Heart mass estimated from multivariable models incorporating heart volume, age, sex, and BSA was more predictive of actual heart mass (R2 = 0.75-0.79) than models incorporating either age, sex, and BSA only (R2 = 0.48-0.57) or heart volume only (R2 = 0.64-0.73). Heart mass can be more accurately predicted from heart volume measured from PMCT when combined with the classical predictors, age, sex, and BSA.

U2 - 10.1007/s12024-022-00478-1

DO - 10.1007/s12024-022-00478-1

M3 - SCORING: Journal article

C2 - 35478080

VL - 18

SP - 333

EP - 342

JO - FORENSIC SCI MED PAT

JF - FORENSIC SCI MED PAT

SN - 1547-769X

IS - 3

ER -