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Time-related change evaluation of the cerebrospinal fluid using postmortem CT
Kohei Morikawa1, Hideki Hyodoh2, Kotaro Matoba3
1Dept. Legal Medicine, Sapporo Medical University School of Medicine, Japan.
Legal Medicine (Tokyo, Japan)
|September 4, 2016
Summary
Cerebro-spinal fluid (CSF) CT density increases after the third postmortem day, offering a potential indicator for estimating time since death. This change, while not perfectly linear, becomes detectable around day three.
Area of Science:
- Forensic pathology
- Radiology
- Postmortem imaging
Background:
- Accurate estimation of postmortem interval is crucial in forensic investigations.
- Computed tomography (CT) imaging offers a non-invasive method for examining cadavers.
- Cerebro-spinal fluid (CSF) properties may change predictably after death.
Purpose of the Study:
- To evaluate the utility of cerebro-spinal fluid (CSF) CT density in estimating postmortem intervals.
- To determine if CSF density changes correlate with time since death in cadavers.
Main Methods:
- Retrospective analysis of 189 cadavers with varying postmortem intervals (0.5 to 30 days).
- Cadavers were grouped by postmortem time (13 distinct groups and 3 broader time-width groups).
- Cerebro-spinal fluid (CSF) CT density in the lateral ventricles was measured and compared against estimated postmortem times.
Main Results:
- CSF CT density remained stable around 20 HU up to 2.5 days postmortem.
- A gradual increase in CSF density was observed after day 3, with significant differences noted on days 3, 4, and 7 compared to earlier time points.
- CSF density showed a statistically significant increase with postmortem time, although the linear correlation (R²=0.119) was weak.
Conclusions:
- CSF CT density increases after the third postmortem day, indicating a potential marker for postmortem interval estimation.
- The earliest detectable change in CSF density occurs around the third postmortem day.
- Further research is warranted to refine the use of CSF CT density for more precise postmortem time estimations.

