Evidence map›Paper›PMID 26541472›Full record

ArticleForensic science, medicine, and pathology2015

Quantification of interstitial fluid on whole body CT: comparison with whole body autopsy.

Roberto Lo Gullo, Shelly Mishra, Diego A Lira, Atul Padole, Alexi Otrakji, Ranish Deedar Ali Khawaja, Sarvenaz Pourjabbar, Sarabjeet Singh, Jo-Anne O Shepard, Subba R Digumarthy and 2 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Forensic science, medicine, and pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Postoperative Visceral Tissue Edema Assessed by Computed Tomography Is a Predictor for Severe Complications After Pancreaticoduodenectomy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2018
    Article
  8. Article
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

12 authors.

Roberto Lo GulloDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA. robertologullo@yahoo.it.
Shelly MishraDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Diego A LiraDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Atul PadoleDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Alexi OtrakjiDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Ranish Deedar Ali KhawajaDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Sarvenaz PourjabbarDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Sarabjeet SinghDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Jo-Anne O ShepardDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Subba R DigumarthyDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Mannudeep K KalraDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
James R StoneDepartment of Pathology and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeInterstitial fluid accumulation can occur in pleural, pericardial, and peritoneal spaces, and subcutaneous tissue planes. The purpose of the study was to assess if whole body CT examination in a postmortem setting could help determine the presence and severity of third space fluid accumulation in the body. MATERIALS AND

methodsOur study included 41 human cadavers (mean age 61 years, 25 males and 16 females) who had whole-body postmortem CT prior to autopsy. All bodies were maintained in the morgue in the time interval between death and autopsy. Two radiologists reviewed the whole-body CT examinations independently to grade third space fluid in the pleura, pericardium, peritoneum, and subcutaneous space using a 5-point grading system. Qualitative CT grading for third space fluid was correlated with the amount of fluid found on autopsy and the quantitative CT fluid volume, estimated using a dedicated software program (Volume, Syngo Explorer, Siemens Healthcare).

resultsModerate and severe peripheral edema was seen in 16/41 and 7/41 cadavers respectively. It is not possible to quantify anasarca at autopsy. Correlation between imaging data for third space fluid and the quantity of fluid found during autopsy was 0.83 for pleural effusion, 0.4 for pericardial effusion and 0.9 for ascites. The degree of anasarca was significantly correlated with the severity of ascites (p < 0.0001) but not with pleural or pericardial effusion. There was strong correlation between volumetric estimation and qualitative grading for anasarca (p < 0.0001) and pleural effusion (p < 0.0001).

conclusionPostmortem CT can help in accurate detection and quantification of third space fluid accumulation. The quantity of ascitic fluid on postmortem CT can predict the extent of anasarca.

Indexed as

AutopsyMultidetector Computed TomographyWhole Body ImagingAdultAgedAged, 80 and overAscitesBilirubinCadaverEdemaExtracellular FluidFemaleForensic PathologyHumansMaleMiddle AgedBilirubinSerum AlbuminAnasarcaPostmortem CTThird space fluid overloadVirtual autopsyWhole-body CT

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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.