Evidence map›Paper›PMID 12611647›Full record

ArticleJournal of cellular and molecular medicine

Highly effective techniques in computerized dental tissue morphometry.

Irina-Draga Caruntu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

1 author at 1 institution in 1 country.

Irina-Draga CaruntuDepartment of Histology, Faculty of Stomatological Medicine, "Gr T Popa" University of Medicine and Pharmacy, Iassy, Romania. dicarunt@mail.dntis.ro
Grigore T. Popa University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effectiveness of computer-aided morphometry is greatly dependent on the capabilities of the software platforms, but the literature provides only information about the measurement methods and their medical interpretation. The purpose of our work is to create a link between the technical algorithm and the medical significance, by a detailed description of measurement procedures, accompanied by the interpretation of their results. The developed techniques operate at a pixel level, by deriving a full benefit from the computational resources available in the modern software environments for image processing. The approach is built on three illustrative cases, formulated in a large sense, so as to cover classes of general problems, referring to cellular entities and tubular structures in cross and longitudinal section. Specimens belonging to the dentin-pulp complex were chosen, because they permit a quantitative analysis for each morphological element, as well as comparative discussion. With appropriate adaptations of the procedures, the measurements of other types of normal and pathological tissues can be analogously addressed. The design, implementation and exploitation of our procedures are supported by specific references to the use of an image analysis system (Zeiss KS400). The algorithmic background remains valid (except for some possible minor changes) when similar software is used. Consequently, the results and their interpretations, prove the importance of the numerical analysis in automating the quantitative evaluation of the structural features.

Indexed as

AlgorithmsDental PulpHumansImage Processing, Computer-AssistedOdontoblastsSoftware

Identifiers

PMID12611647
PMCPMC6741311
OpenAlexW2023565028

What OpenQuestion holds

Textmetadata
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.