Evidence map›Paper›PMID 34609412›Full record

ArticleRomanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie

Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections.

Dan Ruican, Ana Maria Petrescu, Anda Laura Ungureanu, Marius Cristian Marinaş, Daniel Pirici, Anca Maria Istrate-Ofiţeru, Gabriela Camelia Roşu, Anne Marie Badiu, Cristiana Eugenia Simionescu, Mircea Sebastian Şerbănescu and 3 more

Open access · greenAbstract read
In one paragraph

Article in Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

13 authors at 2 institutions in 1 country.

Dan RuicanDepartment of Cardiology, Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, Romania; ungureanu_anda@yahoo.com, mircea_serbanescu@yahoo.com.
Ana Maria Petrescu
Anda Laura Ungureanu
Marius Cristian Marinaş
Daniel Pirici
Anca Maria Istrate-Ofiţeru
Gabriela Camelia Roşu
Anne Marie Badiu
Cristiana Eugenia Simionescu
Mircea Sebastian Şerbănescu
George Lucian Zorilă
Smaranda Belciug
Dominic Gabriel Iliescu
University of Medicine and Pharmacy of Craiova · ROUniversity of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this pilot study, we tested the feasibility of cardiac structures reconstruction from histological sections in 12-13 weeks normal fetuses. Conventional autopsy is hampered at this gestational age because of the small size of the heart anatomical structures, while alternative non-invasive methods for pathology examination of the fetus are expensive, rarely available and lack accuracy data regarding the confirmation of first trimester heart defects suspected by early prenatal ultrasound (US) scans. MATERIALS AND

methodsNormal hearts from fetuses aged 12-13 gestational weeks (GW) were harvested for histological preparation, virtual reconstruction, and cardiac structures analysis. The normalcy of heart structures was confirmed before pregnancy termination, using a detailed US scan protocol. The fetal heart was routinely processed for formalin fixation and paraffin embedding (FFPE) and 10 μm seriate sections have been cut until finishing the specimen. All sections have been scanned and a three-dimensional (3D) reconstruction of the whole organ has been rendered, based on computer-aided manual tracing. Using the 3D navigation software, the main cardiac structures were searched for a proper and confident visualization.

resultsFive cases were investigated. Visualization of the normal heart cavities, including atrioventricular septum was very good in all fetuses. The entire course of right and left ventricle outflow tracts was confidently confirmed, along the branching pattern of aorta and pulmonary artery trunk. Regarding the veno-atrial connections, it was easy to identify the entrance of the inferior and superior caval veins into the right atrium, but a detailed review of the histological sections was necessary for the visualization of the left atrium venous openings. The inherent morphological deformation following heart block sectioning resulted in a lower resolution or quality of the "reconstructed" planes, but these distortions did not represent a significant impediment in any of the cases. The resources involved ordinary histology and information technology (IT) equipment. To further decrease the time involved by the protocol, many steps may be automated: cutting, coloring, and scanning.

conclusionsThe results indicate that this method can be implemented to routine clinical practice. The use of 3D reconstruction of fetal heart histological sections in first trimester may serve as an important audit to confirm the normalcy of heart structures. Also, the histological and postprocessed information is retained, and this volume can be stored, reanalyzed, or sent online for a second opinion. The method involves relatively undemanding resources, i.e., hardware, software, competences, and time. The procedure could also benefit from refinements used in other imaging techniques to limit human-computer interactions, such as sections distortion.

Indexed as

Fetal HeartVena Cava, SuperiorAutopsyFemaleGestational AgeHumansPilot ProjectsPregnancyPregnancy Trimester, FirstUltrasonography, Prenatal

Identifiers

PMID34609412
PMCPMC8597369
OpenAlexW3161185759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.