Evidence map›Paper›PMID 40213746›Full record

ReviewCureus2025

Revolutionizing Dentistry by Exploring the Potential of Cone-Beam Computed Tomography: A Review.

Mrunali G Gharat, Amit Patil, Aarti S Bedia, Himmat Jaiswal, Saudamini More

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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

5 authors.

Mrunali G GharatDentistry, Bharati Vidyapeeth (Deemed to Be University) Dental College and Hospital, Navi Mumbai, IND.
Amit PatilConservative Dentistry and Endodontics, Bharati Vidyapeeth (Deemed to Be University) Dental College and Hospital, Navi Mumbai, IND.
Aarti S BediaOral Medicine and Radiology, Bharati Vidyapeeth (Deemed to Be University) Dental College and Hospital, Navi Mumbai, IND.
Himmat JaiswalConservative Dentistry and Endodontics, Bharati Vidyapeeth (Deemed to Be University) Dental College and Hospital, Navi Mumbai, IND.
Saudamini MorePublic Health Dentistry, Bharati Vidyapeeth (Deemed to Be University) Dental College and Hospital, Navi Mumbai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cone-beam computed tomography (CBCT) is a groundbreaking dental imaging technique that produces three-dimensional, high-resolution images of the oral cavity. It has several benefits over conventional imaging techniques, including as better visualization of intricate anatomical structures, increased diagnostic precision, and reduced radiation exposures in comparison to traditional computed tomography (CT). Numerous dental specialties, including endodontics, orthodontics, prosthodontics, oral surgery, periodontology, and forensic odontology, heavily rely on CBCT. The diagnostic capabilities of CBCT are being improved by recent developments in artificial intelligence (AI), which makes it a useful tool for identifying dental diseases. Longer scan periods, more radiation exposure, and the requirement for specific training for effective interpretation are some of CBCT's drawbacks. The objective of this review is to examine the main clinical uses of CBCT in different dental specialties and assess its benefits over conventional imaging methods in terms of accuracy, precision, and patient outcomes. All things considered, even though CBCT has many advantages, clinical practice must carefully weigh its dangers and limits.

Indexed as

aicbctdental imagingdiagnostic accuracyendodonticsorthodonticsperiodontologyprosthodonticsradiation exposurespecialized training

Identifiers

PMID40213746
PMCPMC11981884

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.