Evidence map›Paper›PMID 34843527›Full record

ArticlePloS one2021

Diagnostic value of virtual autopsy using pm-MRI at 3T on malformed second trimester fetuses vs classic autopsy.

Adelina Staicu, Camelia Albu, Roxana Popa-Stanila, Cosmina Ioana Bondor, Ioana Cristina Rotar, Florin Stamatian, Daniel Muresan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 1 country.

Adelina Staicu1st Department of Obstetrics and Gynecology, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0003-3755-320X
Camelia AlbuDepartment of Pathology, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Roxana Popa-StanilaCentre of Advanced Research Studies, Emergency County Hospital, IMOGEN, Cluj-Napoca, Romania.
Cosmina Ioana BondorDepartment of Medical Informatics and Biostatistics, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ioana Cristina Rotar1st Department of Obstetrics and Gynecology, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0002-7700-2384
Florin StamatianCentre of Advanced Research Studies, Emergency County Hospital, IMOGEN, Cluj-Napoca, Romania.
Daniel Muresan1st Department of Obstetrics and Gynecology, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the diagnostic value of virtual autopsy using post mortem-MRI (pm-MRI) at 3Tesla (T) compared to classic autopsy for the confirmation of fetal structural anomalies and secondly to establish which cases of termination of pregnancy would benefit mostly from a virtual autopsy.

methodsIn each of 32 fetuses included in the study, 32 anatomical structures were assessed, after termination of pregnancy in the second trimester. All cases were evaluated by prenatal ultrasonography, virtual autopsy and classic autopsy, and then divided into four groups: Cerebral Group, Cardiac Group, Renal Group and Other Group (miscellaneous group). The concordance of virtual autopsy with classic autopsy was calculated overall and for each group and each structural item. Also, the concordance between the two methods was assessed using a diagnostic error score (DgE_score), calculated as the absolute value of the difference between the number of malformations detected by classic autopsy per case (CA score) and the number of malformations detected at virtual autopsy per case (VA score).

resultsOverall virtual autopsy demonstrated a diagnostic sensitivity (Se) compared to classic autopsy of 67.33% [95% CI 57.28-76.33], with a specificity (Sp) of 98.37% [95% CI 97.33-99.09], a positive predictive value (PPV) of 81.93% [95% CI 71.95-89.52], a negative predictive value (NPV) of 96.49% [95% CI 95.11-97.57] achieving a diagnostic accuracy of 95.31% [95% CI 93.83-96.52]. Overall, no statistic significant correlation was demonstrated between DgE_score and the gestational age of the fetuses or between DgE_score and the weight of the fetuses, but a significant correlation was revealed between the virtual autopsy and classic autopsy score. The diagnostic utility of virtual autopsy using pm-MRI at 3 T as compared to classic autopsy for each category of termination of pregnancy revealed in the Cerebral Group a Se of 80.00% [95% CI 28.36-99.49], with a 96.30% [95% CI 81.03-99.91], a PPV of 80.00% [95% CI 35.75-96.64] a NPV of 96.30% [95% CI 81.81-99.34], with a diagnostic accuracy of 93.75% [95% CI 79.19% to 99.23] and a Cohen's Kappa coefficient of 0.76 [95% CI 0.4494-1.0765]; in the Renal Group a Se and Sp of 100%, but in the Cardiac Group the Se was only 60.00% [95% CI 26.24-87.84], Sp 75% [95% CI 34.91-96.81], the PPV 75.00% [95% CI 44.92-91.69], NPV 60% [95% CI 38.87-77.96], with a diagnostic accuracy of 66.67% [95% CI 40.99-86.66] and a Cohen's Kappa coefficient of 0.32 [95% CI -0.07-0.76].

conclusionsThe results support virtual autopsy using pm-MRI at 3T as a reliable alternative to classic autopsy for the non-forensic analysis of second trimester fetuses. Analyzing the diagnostic utility of virtual autopsy using pm-MRI at 3 T for the confirmation of prenatal ultrasound findings in second trimester fetuses as compared to classic autopsy, the best results were obtained in the Cerebral and Renal Group. Reserved results were found in the Cardiac Group. Therefore, for the pregnancies with termination of pregnancy for cerebral or renal abnormalities, virtual autopsy by pm-MRI at 3T can be taken into consideration as a first-line investigation to confirm the prenatal findings.

Indexed as

AutopsyFemaleFetusHumansLongitudinal StudiesMagnetic Resonance ImagingPregnancyPregnancy Trimester, SecondProspective StudiesUltrasonography, Prenatal

Identifiers

PMID34843527
PMCPMC8629304
OpenAlexW3215132163

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LicenceCC BY
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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.