Evidence map›Paper›PMID 38293283›Full record

ArticleEuropean journal of radiology open2024

Postmortem chest computed tomography in COVID-19: A minimally invasive autopsy method.

Paulo Savoia, Marcio Valente Yamada Sawamura, Renata Aparecida de Almeida Monteiro, Amaro Nunes Duarte-Neto, Maria da Graça Morais Martin, Marisa Dolhnikoff, Thais Mauad, Paulo Hilário Nascimento Saldiva, Claudia da Costa Leite, Luiz Fernando Ferraz da Silva and 1 more

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Paulo SavoiaDepartment of Radiology, University of Sao Paulo School of Medicine, Institute of Radiology, Rua Doutor Ovidio Pires de Campos, 75, 05403-010, Cerqueira Cesar, São Paulo, SP, Brazil.
Marcio Valente Yamada SawamuraDepartment of Radiology, University of Sao Paulo School of Medicine, Institute of Radiology, Rua Doutor Ovidio Pires de Campos, 75, 05403-010, Cerqueira Cesar, São Paulo, SP, Brazil.
Renata Aparecida de Almeida MonteiroDepartment of Pathology, University of Sao Paulo School of Medicine, Av. Dr. Arnaldo, 455, sala 1155, 01246-903, Cerqueira Cesar, São Paulo, SP, Brazil.
Amaro Nunes Duarte-NetoDepartment of Pathology, University of Sao Paulo School of Medicine, Av. Dr. Arnaldo, 455, sala 1155, 01246-903, Cerqueira Cesar, São Paulo, SP, Brazil.
Maria da Graça Morais MartinDepartment of Radiology, University of Sao Paulo School of Medicine, Institute of Radiology, Rua Doutor Ovidio Pires de Campos, 75, 05403-010, Cerqueira Cesar, São Paulo, SP, Brazil.
Marisa DolhnikoffDepartment of Pathology, University of Sao Paulo School of Medicine, Av. Dr. Arnaldo, 455, sala 1155, 01246-903, Cerqueira Cesar, São Paulo, SP, Brazil.
Thais MauadDepartment of Pathology, University of Sao Paulo School of Medicine, Av. Dr. Arnaldo, 455, sala 1155, 01246-903, Cerqueira Cesar, São Paulo, SP, Brazil.
Paulo Hilário Nascimento SaldivaDepartment of Pathology, University of Sao Paulo School of Medicine, Av. Dr. Arnaldo, 455, sala 1155, 01246-903, Cerqueira Cesar, São Paulo, SP, Brazil.
Claudia da Costa LeiteDepartment of Radiology, University of Sao Paulo School of Medicine, Institute of Radiology, Rua Doutor Ovidio Pires de Campos, 75, 05403-010, Cerqueira Cesar, São Paulo, SP, Brazil.
Luiz Fernando Ferraz da SilvaDepartment of Pathology, University of Sao Paulo School of Medicine, Av. Dr. Arnaldo, 455, sala 1155, 01246-903, Cerqueira Cesar, São Paulo, SP, Brazil.
Ellison Fernando CardosoDepartment of Radiology, University of Sao Paulo School of Medicine, Institute of Radiology, Rua Doutor Ovidio Pires de Campos, 75, 05403-010, Cerqueira Cesar, São Paulo, SP, Brazil.
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Performing autopsies in a pandemic scenario is challenging, as the need to understand pathophysiology must be balanced with the contamination risk. A minimally invasive autopsy might be a solution. We present a model that combines radiology and pathology to evaluate postmortem CT lung findings and their correlation with histopathology. Methods: Twenty-nine patients with fatal COVID-19 underwent postmortem chest CT, and multiple lung tissue samples were collected. The chest CT scans were analyzed and quantified according to lung involvement in five categories: normal, ground-glass opacities, crazy-paving, small consolidations, and large or lobar consolidations. The lung tissue samples were examined and quantified in three categories: normal lung, exudative diffuse alveolar damage (DAD), and fibroproliferative DAD. A linear index was used to estimate the global severity of involvement by CT and histopathological analysis. Results: There was a positive correlation between patient mean CT and histopathological severity score indexes - Pearson correlation coefficient (R) = 0.66 (p = 0.0078). When analyzing the mean lung involvement percentage of each finding, positive correlations were found between the normal lung percentage between postmortem CT and histopathology (R=0.65, p = 0.0082), as well as between ground-glass opacities in postmortem CT and normal lungs in histopathology (R=0.65, p = 0.0086), but negative correlations were observed between ground-glass opacities extension and exudative diffuse alveolar damage in histological slides (R=-0.68, p = 0.005). Additionally, it was found is a trend toward a decrease in the percentage of normal lung tissue on the histological slides as the percentage of consolidations in postmortem CT scans increased (R =-0.51, p = 0.055). The analysis of the other correlations between the percentage of each finding did not show any significant correlation or correlation trends (p ≥ 0.10). Conclusions: A minimally invasive autopsy is valid. As the severity of involvement is increased in CT, more advanced disease is seen on histopathology. However, we cannot state that one specific radiological category represents a specific pathological correspondent. Ground-glass opacities, in the postmortem stage, must be interpreted with caution, as expiratory lungs may overestimate disease.

Indexed as

AutopsyPathologyThoraxTomography

Identifiers

PMID38293283
PMCPMC10825618
OpenAlexW4391007157

What OpenQuestion holds

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Registered trials

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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.