Evidence map›Paper›PMID 39585114›Full record

ArticleVision (Basel, Switzerland)2024

Corneal Endothelial Microscopy: Does a Manual Recognition of the Endothelial Cells Help the Morphometric Analysis Compared to a Fully Automatic Approach?

Giulia Carlotta Rizzo, Rosa Di Grassi, Erika Ponzini, Silvia Tavazzi, Fabrizio Zeri

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Giulia Carlotta RizzoDepartment of Materials Sciences, University of Milano-Bicocca, 20125 Milan, Italy.ORCID 0000-0003-1209-633X
Rosa Di GrassiDepartment of Materials Sciences, University of Milano-Bicocca, 20125 Milan, Italy.
Erika PonziniDepartment of Materials Sciences, University of Milano-Bicocca, 20125 Milan, Italy.ORCID 0000-0002-3103-740X
Silvia TavazziDepartment of Materials Sciences, University of Milano-Bicocca, 20125 Milan, Italy.ORCID 0000-0001-5786-2021
Fabrizio ZeriDepartment of Materials Sciences, University of Milano-Bicocca, 20125 Milan, Italy.ORCID 0000-0003-0529-555X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated whether manual integration in the recognition of the endothelial cells produces different outcomes of morphometric parameters compared to a fully automatic approach. Eight hundred and ninety endothelial images, originally acquired by the Perseus Specular Microscope (CSO, Florence, Italy), from seven positions of right and left corneas were selected from the database of the Research Centre in Optics and Optometry at the University of Milano-Bicocca. For each image selected, two procedures of cell identification were performed by the Perseus: an automatic identification and a manual-integrated procedure to add potential additional cells with the available editing tool. At the end of both procedures, the endothelial cell density (ECD), coefficient of variation (CV), and hexagonality (HEX) of the mosaic were calculated. The HEX in the two procedures was significantly different for all comparisons (

Indexed as

coefficient of variationcorneal endotheliumendothelial cell densityendothelium morphologyhexagonalityspecular microscopy

Identifiers

PMID39585114
PMCPMC11587443

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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.