Evidence map›Paper›PMID 34562107›Full record

ArticleInternational journal of legal medicine2021

Estimation of the time of death by measuring the variation of lateral cerebral ventricle volume and cerebrospinal fluid radiodensity using postmortem computed tomography.

Fabio De-Giorgio, Gabriele Ciasca, Gennaro Fecondo, Alberto Mazzini, Marco De Spirito, Vincenzo L Pascali

Abstract read
In one paragraph

Article in International journal of legal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. The polychromatism of postmortem cerebrospinal fluid.Forensic science, medicine, and pathology · 2025
    Article
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  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fabio De-Giorgio *Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. fabio.degiorgio@unicatt.it.ORCID http://orcid.org/0000-0001-7433-0924
Gabriele Ciasca *Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Gennaro FecondoFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Alberto MazziniNeuroscience Department, Section of Physics, Università Cattolica del Sacro Cuore, Rome, Italy.
Marco De SpiritoFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Vincenzo L PascaliFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using postmortem CT (PMCT), changes in the volume of the lateral cerebral ventricles (LCVs) and modifications of the radiodensity of cerebrospinal fluid (CSF) have been examined to identify a possible relationship between these changes and the time of death. Subsequent periodical CT scans termed "sequential scans" for ten corpses at known time of death were obtained, and a 3D segmentation of the entire LCV was carried out to measure its volume and radiodensity over time from ~ 5.5- h up to 273-h postmortem. A linear decrease of the LCV volume for all the cases was observed in the investigated time range, together with an overall logarithmic increase of radiodensity. Although a larger sampling should be performed to improve the result reliability, our finding suggests that the postmortem variation of CSF radiodensity can be a potentially useful tool in determining postmortem interval, a finding that is worthy of further investigation.

Indexed as

AdultAgedAged, 80 and overCerebrospinal FluidFemaleHumansLateral VentriclesLinear ModelsMaleMiddle AgedPostmortem ChangesTime FactorsTomography, X-Ray ComputedCerebrospinal fluidLateral cerebral ventriclePostmortem changesPostmortem computed tomographyPostmortem intervalRadiodensityTime of death

Identifiers

PMID34562107
PMCPMC8523388

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.