Evidence map›Paper›PMID 33629210›Full record

ArticleInternational journal of implant dentistry2021

Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study.

Emrah Soylu, Aykağan Coşgunarslan, Selin Çelebi, Damla Soydan, Ahmet Emin Demirbaş, Osman Demir

Abstract read
In one paragraph

Article in International journal of implant dentistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  11. Fractal analysis of mandibular trabecular pattern following protraction facemask therapy : A pilot study.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2025
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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

6 authors.

Emrah SoyluFaculty of Dentistry Department of Oral and Maxillofacial Surgery, Erciyes University, Kayseri, Turkey.
Aykağan CoşgunarslanFaculty of Dentistry Department of Oral Maxillofacial Radiology, Erciyes University, Kayseri, Turkey.
Selin ÇelebiFaculty of Dentistry Department of Oral and Maxillofacial Surgery, Erciyes University, Kayseri, Turkey. celebiiselin@hotmail.com.ORCID 0000-0001-9628-4877
Damla SoydanFaculty of Dentistry Department of Oral Maxillofacial Radiology, Erciyes University, Kayseri, Turkey.
Ahmet Emin DemirbaşFaculty of Dentistry Department of Oral and Maxillofacial Surgery, Erciyes University, Kayseri, Turkey.
Osman DemirFaculty of Medicine Departments of Bioistatistics, Tokat Gaziosmanpaşa University, Tokat, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe present study aimed at evaluating the effectiveness of fractal analysis on determining the osseointegration of dental implants. MATERIAL AND

methodsIn a single center, retrospective clinical trial, patients with dental implants in the mandibular premolar/molar region, ASA I-II and < 65-year-old patients were included. Orthopantomograph (OPG) were taken before implant surgery (t0), within a week of surgery (t1), and 1 (t2) and 2 (t3) months after surgery, respectively. Three regions of interest (ROIs) from mesial, distal, and apical sites of the implants were chosen and fractal analysis (FA) was conducted with the box-counting algorithm using White and Rudolph's method.

resultsA total of 39 patients 19 women and 20 men, with a mean age of 52.2 years (52.3 and 52.1 years, respectively) were included. The mean, minimum and maximum values of mesial (roi1), distal (roi2), and apical (roi3) surfaces were compared. The fractal dimension (FD) values of t1 were significantly lower compared with t0 as they decreased during the first week. FD values gradually increased after the first week although never exceeded the FD values of t0. Also, difference between mean FD values of t0 and t3 were found statistically significant (p < 0.05). DISCUSSION: FA is a promising and noninvasive method to predict osseointegration of a dental implant based on dental radiographs, and it can help shorten the total treatment time.

Indexed as

Dental ImplantsAgedFemaleFractalsHumansMaleMandibleMiddle AgedOsseointegrationRetrospective StudiesDental ImplantsFractal analysisFractal dimensionImplantOsseointegration

Identifiers

PMID33629210
PMCPMC7904985

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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.