Evidence map›Paper›PMID 39061617›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Risk Assessment of Nasal Cavity Perforation in the Maxilla: A Virtual Implant Placement Study Using Cone Beam Computed Tomography.

Doğan Ilgaz Kaya, Samed Şatır, Beyza Öztaş, Hasan Yıldırım, Ahmet Aktı

Abstract read
In one paragraph

Article in Diagnostics (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.

Doğan Ilgaz KayaDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Karamanoglu Mehmetbey University, 70200 Karaman, Turkey.ORCID 0000-0002-5196-8105
Samed ŞatırDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Karamanoglu Mehmetbey University, 70200 Karaman, Turkey.ORCID 0000-0002-5863-5928
Beyza ÖztaşDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, İstanbul Kent University, 34433 Istanbul, Turkey.
Hasan YıldırımDepartment of Mathematics, Kamil Ozdag Faculty of Science, Karamanoglu Mehmetbey University, 72100 Karaman, Turkey.ORCID 0000-0003-4582-9018
Ahmet AktıDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Selcuk University, 42250 Konya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implant surgery in individuals with atrophic maxilla presents challenges, particularly concerning nasal cavity complications such as perforations, implant migration, and airway obstruction. While panoramic radiographs offer diagnostic convenience, their two-dimensional nature limits the evaluation of anatomical structures. Cone beam computed tomography (CBCT) provides a three-dimensional assessment, enhancing surgical planning accuracy and potentially reducing complications. With the aim of understanding the measurement differences between panoramic radiographs and CBCT images, this retrospective study examined CBCT images of patients with severely atrophic maxilla taken between September 2021 and December 2023 at the Ahmet Keleşoğlu Faculty of Dentistry. Virtual implants were placed in various tooth regions using OnDemand3D software. The incidence of nasal cavity perforations and vertical bone height differences between panoramic radiographs and CBCT images were evaluated. For this purpose, vertical bone length measurements in panoramic and CBCT images were compared for the virtual implant placement areas. Statistical analyses, including

Indexed as

cone beam computed tomographynasal cavityperforationsvirtual implant

Identifiers

PMID39061617
PMCPMC11276519

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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.