Indications and technical parameters of cone beam computed tomography in paediatric dentistry at Alexandria and Cairo universities: a retrospective study

The study underscores the indications of CBCT in paediatric dentistry and the diverse clinical practices at both universities and highlights the need for tailored imaging protocols.

Authors

Institutions

Publication Details

Journal
European Archives of Paediatric Dentistry
Published
2025-06-08
DOI
https://doi.org/10.1007/s40368-025-01062-1
Citations
2
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
3.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Indications and technical parameters of cone beam computed tomography in paediatric dentistry at Alexandria and Cairo universities: a retrospective study

Marwa Baraka, Enas Anter, Noha M. Elkersh, Hossam M. Ghorab
2 citations
European Archives of Paediatric Dentistry
Dental Radiography and Imaging
3.58
article

Indications and technical parameters of cone beam computed tomography in paediatric dentistry at Alexandria and Cairo universities: a retrospective study

Marwa Baraka, Enas Anter, Noha M. Elkersh, Hossam M. Ghorab
article en
2 citations

Abstract

The study underscores the indications of CBCT in paediatric dentistry and the diverse clinical practices at both universities and highlights the need for tailored imaging protocols.

European Archives of Paediatric DentistryVol. 26(5)
Cairo University (EG), Alexandria University (EG)
Alexandria University
Openalex Percentile: Top 8%
Dental Radiography and Imaging
3.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.