Evidence map›Paper›PMID 23762183›Full record

ArticleComputational and mathematical methods in medicine2013

Fractal analysis of elastographic images for automatic detection of diffuse diseases of salivary glands: preliminary results.

Alexandru Florin Badea, Monica Lupsor Platon, Maria Crisan, Carlo Cattani, Iulia Badea, Gaetano Pierro, Gianpaolo Sannino, Grigore Baciut

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Alexandru Florin BadeaDepartment of Cranio-Maxillo-Facial Surgery, University of Medicine and Pharmacy "Iuliu Haţieganu", Cardinal Hossu Street 37, 400 029 Cluj-Napoca, Romania.
Monica Lupsor Platon
Maria Crisan
Carlo Cattani
Iulia Badea
Gaetano Pierro
Gianpaolo Sannino
Grigore Baciut
Iuliu Hațieganu University of Medicine and Pharmacy · ROUniversity of Salerno · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The geometry of some medical images of tissues, obtained by elastography and ultrasonography, is characterized in terms of complexity parameters such as the fractal dimension (FD). It is well known that in any image there are very subtle details that are not easily detectable by the human eye. However, in many cases like medical imaging diagnosis, these details are very important since they might contain some hidden information about the possible existence of certain pathological lesions like tissue degeneration, inflammation, or tumors. Therefore, an automatic method of analysis could be an expedient tool for physicians to give a faultless diagnosis. The fractal analysis is of great importance in relation to a quantitative evaluation of "real-time" elastography, a procedure considered to be operator dependent in the current clinical practice. Mathematical analysis reveals significant discrepancies among normal and pathological image patterns. The main objective of our work is to demonstrate the clinical utility of this procedure on an ultrasound image corresponding to a submandibular diffuse pathology.

Indexed as

Computational BiologyDiagnosis, Computer-AssistedElasticity Imaging TechniquesFemaleFractalsHumansImage Interpretation, Computer-AssistedMiddle AgedSalivary Gland DiseasesSialadenitisSubmandibular Gland Diseases

Identifiers

PMID23762183
PMCPMC3671291
OpenAlexW2059125237

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.