Dental photon-counting computed tomography for the assessment of peri-implant structures

PCCT enables superior visualization of peri-implant bone structures with fewer artifacts and improved diagnostic accuracy.

Authors

Institutions

Publication Details

Journal
International Journal of Implant Dentistry
Published
2025-08-09
DOI
https://doi.org/10.1186/s40729-025-00640-8
Citations
1
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
1.79

Funders

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

Dental photon-counting computed tomography for the assessment of peri-implant structures

Christian Mertens, Marc Kachelrieß, Holger Gehrig, Ti‐Sun Kim et al.
1 citations
International Journal of Implant Dentistry
Dental Radiography and Imaging
1.79
article

Dental photon-counting computed tomography for the assessment of peri-implant structures

Christian Mertens, Marc Kachelrieß, Holger Gehrig, Ti‐Sun Kim, Matthias Frank Froelich, Maurice Ruetters, Sinan Şen, Stefan Sawall, Stefan Oswald Schoenberg, Hans-Peter Schlemmer
article en
1 citations

Abstract

PCCT enables superior visualization of peri-implant bone structures with fewer artifacts and improved diagnostic accuracy.

International Journal of Implant DentistryVol. 11(1)
German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), University Hospital Schleswig-Holstein (DE), University Medical Centre Mannheim (DE), University of Lübeck (DE)
Universitätsklinikum Heidelberg
Openalex Percentile: Top 14%
Dental Radiography and Imaging
1.79
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.