Estimation of body height from spinal length measurements using post-mortem computed tomographic images
Introduction: Post-mortem computed tomography (PMCT) provides information that helps in the determination of the cause of death and corpse identification of disaster victims. One of the methods for corpse identification includes assessment of the body stature. There is a lack of post-mortem imaging...
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Malaysian Society of Pathologists
2020
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my.upm.eprints.888482021-11-02T20:30:25Z http://psasir.upm.edu.my/id/eprint/88848/ Estimation of body height from spinal length measurements using post-mortem computed tomographic images Zyoud, Tawfiq Y. T. Abdul Rashid, Saiful Nizam Suppiah, Subapriya Mahmud, Rozi Kabeer, Abubakar Abd Manaf, Rosliza Abdul Rahim, Ezamin Introduction: Post-mortem computed tomography (PMCT) provides information that helps in the determination of the cause of death and corpse identification of disaster victims. One of the methods for corpse identification includes assessment of the body stature. There is a lack of post-mortem imaging studies that focus on the anthropometric assessment of corpses. Our aim was to identify the relationship between cadaveric spine length and autopsy length (AL) among and autopsy length (AL) among a Malaysian population and derive a regression formula for the estimation of corpse body height using PMCT. Materials and Methods: We retrospectively assessed 107 cadavers that had undergone conventional autopsy and PMCT. We made 5 measurements from the PMCT that included cervical length (CL), thoracic length (TL), lumbosacral length (LS), total column length of the spine, excluding the sacrum and coccyx (TCL), and ellipse line measurement of the whole spine, excluding the sacrum and coccyx (EL). We compared these anthropometric PMCT measurements with AL and correlated them using linear regression analysis. Results: The results showed a significant linear relationship existed between TL and LS with AL, which was higher in comparison with the other parameters than the rest of the spine parameters. The linear regression formula derived was: 48.163 + 2.458 (TL) + 2.246 (LS). Conclusions: The linear regression formula derived from PMCT spine length parameters particularly thoracic and lumbar spine gave a finer correlation with autopsy body length and can be used for accurate estimation of cadaveric height. To the best of our knowledge, this is the first ever linear regression formula for cadaveric height assessment using only post mortem CT spine length measurements. Malaysian Society of Pathologists 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88848/1/ABSTRACT.pdf Zyoud, Tawfiq Y. T. and Abdul Rashid, Saiful Nizam and Suppiah, Subapriya and Mahmud, Rozi and Kabeer, Abubakar and Abd Manaf, Rosliza and Abdul Rahim, Ezamin (2020) Estimation of body height from spinal length measurements using post-mortem computed tomographic images. Malaysian Journal Of Pathology, 42 (3). 423 - 431. ISSN 0126-8635 http://www.mjpath.org.my/ |
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Introduction: Post-mortem computed tomography (PMCT) provides information that helps in the determination of the cause of death and corpse identification of disaster victims. One of the methods
for corpse identification includes assessment of the body stature. There is a lack of post-mortem imaging studies that focus on the anthropometric assessment of corpses. Our aim was to identify
the relationship between cadaveric spine length and autopsy length (AL) among and autopsy length (AL) among a Malaysian population and derive a regression formula for the estimation of corpse body height using PMCT. Materials and Methods: We retrospectively assessed 107 cadavers that had undergone conventional autopsy and PMCT. We made 5 measurements from the PMCT that included cervical length (CL), thoracic length (TL), lumbosacral length (LS), total column length of the spine, excluding the sacrum and coccyx (TCL), and ellipse line measurement of the whole spine, excluding the sacrum and coccyx (EL). We compared these anthropometric PMCT measurements with AL and correlated them using linear regression analysis. Results: The results showed a significant linear relationship existed between TL and LS with AL, which was higher in comparison with the other parameters than the rest of the spine parameters. The linear regression formula derived was: 48.163 + 2.458 (TL) + 2.246 (LS). Conclusions: The linear regression formula derived from PMCT spine length parameters particularly thoracic and lumbar spine gave a finer correlation with autopsy body length and can be used for accurate estimation of cadaveric height. To the best of our knowledge, this is the first ever linear regression formula for cadaveric height assessment using only post mortem CT spine length measurements. |
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Article |
author |
Zyoud, Tawfiq Y. T. Abdul Rashid, Saiful Nizam Suppiah, Subapriya Mahmud, Rozi Kabeer, Abubakar Abd Manaf, Rosliza Abdul Rahim, Ezamin |
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Zyoud, Tawfiq Y. T. Abdul Rashid, Saiful Nizam Suppiah, Subapriya Mahmud, Rozi Kabeer, Abubakar Abd Manaf, Rosliza Abdul Rahim, Ezamin Estimation of body height from spinal length measurements using post-mortem computed tomographic images |
author_facet |
Zyoud, Tawfiq Y. T. Abdul Rashid, Saiful Nizam Suppiah, Subapriya Mahmud, Rozi Kabeer, Abubakar Abd Manaf, Rosliza Abdul Rahim, Ezamin |
author_sort |
Zyoud, Tawfiq Y. T. |
title |
Estimation of body height from spinal length measurements using
post-mortem computed tomographic images |
title_short |
Estimation of body height from spinal length measurements using
post-mortem computed tomographic images |
title_full |
Estimation of body height from spinal length measurements using
post-mortem computed tomographic images |
title_fullStr |
Estimation of body height from spinal length measurements using
post-mortem computed tomographic images |
title_full_unstemmed |
Estimation of body height from spinal length measurements using
post-mortem computed tomographic images |
title_sort |
estimation of body height from spinal length measurements using
post-mortem computed tomographic images |
publisher |
Malaysian Society of Pathologists |
publishDate |
2020 |
url |
http://psasir.upm.edu.my/id/eprint/88848/1/ABSTRACT.pdf http://psasir.upm.edu.my/id/eprint/88848/ http://www.mjpath.org.my/ |
_version_ |
1717095412944338944 |
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13.211869 |