Evidence map›Paper›PMID 39350863›Full record

ArticleCureus2024

Evaluation of Maxillary Sinus Septa Using Cone Beam Computed Tomography (CBCT): A Retrospective Study.

Rajat Verma, Nisha Dua, Rajesh Gupta, Mayank Jain, Mridula, Monika Gupta

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Rajat VermaOral Medicine and Radiology, Swami Devi Dyal Hospital and Dental College, Panchkula, IND.
Nisha DuaOral and Maxillofacial Radiology, Swami Devi Dyal Hospital and Dental College, Panchkula, IND.
Rajesh GuptaOral and Maxillofacial Radiology, Swami Devi Dyal Hospital and Dental College, Panchkula, IND.
Mayank JainOral and Maxillofacial Radiology, Swami Devi Dyal Hospital and Dental College, Panchkula, IND.
MridulaOral Medicine and Radiology, Swami Devi Dyal Hospital and Dental College, Panchkula, IND.
Monika GuptaOral Medicine and Radiology, Swami Devi Dyal Hospital and Dental College, Panchkula, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaxillary sinus septa, which are bony structures dividing the sinus cavity, can pose challenges during sinus lift or implant surgeries by potentially causing perforation of the Schneiderian membrane. This study aimed to estimate the prevalence, height, location, orientation, and risk of perforation of the maxillary sinus septa using cone beam computed tomography (CBCT). MATERIALS AND

methodsThis retrospective, cross-sectional study utilized CBCT (NewTom CBCT machine, of which the scan parameters were 90 KvP, 8 mAs, and 14 s exposure with a field of view (FOV) of 8×8 cm and a 0.2 mm

resultsThe prevalence of maxillary sinus septa was 21.33%, with the majority showing a single septum (90.63%). Septa were predominantly found in the middle region (48.44%), with bucco-palatal orientation (93.75%) being more common than anteroposterior. The mean septa height was 6.16 mm. The perforation was classified as moderate (48.4%), low (46.8%), or high (4.6%). Class III septa were associated with the highest risk of perforation.

conclusionThis study highlights a significant prevalence of maxillary sinus septa with variations in height, orientation, and location. The risk of perforation varies with the septa configuration and orientation. CBCT is essential for identifying these anatomical features to minimize surgical complications and to guide preoperative planning.

Indexed as

cone beam computed tomography (cbct)dental implantsmaxillary sinusperforation riskschneiderian membranesepta

Identifiers

PMID39350863
PMCPMC11441785

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.