Lung weight estimation with postmortem CT in forensic cases

Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved..

Postmortem computed tomography (CT) is a minimally invasive technique to examine internal organs before a forensic autopsy. The purpose of our study was to estimate lung weight in a forensic setting in cases of various lung states, including fluid accumulation (congestion, edema, hypostasis, and inflammation etc.) using postmortem CT. From January 2016 to July 2018, 111 deceased bodies (62 males and 59 females, aged from 18 to 95 (average 59.6) years) were examined by CT before autopsy. Both lungs of the 111 deceased were analyzed separately, making it a total of 222 samples. We extracted lung fields from CT images manually after semi-automatic detection using an image workstation. The total lung volume and 6 categories of lung volume divided according to their CT density were measured. Multiple regression analysis was performed with lung weight in autopsy as the response variable, while the 6 categories were labelled as explanatory variables. The relation between lung weight in autopsy and lung weight estimated using postmortem CT showed a high Pearson's correlation coefficient (R2 = 0.9106). Using postmortem CT, the lung weight can be estimated in forensic settings.

Medienart:

E-Artikel

Erscheinungsjahr:

2018

Erschienen:

2018

Enthalten in:

Zur Gesamtaufnahme - volume:35

Enthalten in:

Legal medicine (Tokyo, Japan) - 35(2018) vom: 07. Nov., Seite 61-65

Sprache:

Englisch

Beteiligte Personen:

Matoba, Kotaro [VerfasserIn]
Hyodoh, Hideki [VerfasserIn]
Ishida, Lisa [VerfasserIn]
Murakami, Manabu [VerfasserIn]
Matoba, Tomoko [VerfasserIn]
Saito, Atsuko [VerfasserIn]
Okuya, Nahoko [VerfasserIn]
Almansoori, Sahar [VerfasserIn]
Fujita, Emi [VerfasserIn]
Yamase, Mayumi [VerfasserIn]
Shao, Minyo [VerfasserIn]
Jin, Shigeki [VerfasserIn]

Links:

Volltext

Themen:

Estimation
Journal Article
Lung weight
Postmortem CT
Regression analysis

Anmerkungen:

Date Completed 20.03.2019

Date Revised 20.03.2019

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.legalmed.2018.09.007

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM289044200