ASSESSMENT OF TRABECULAR CHANGES IN FURCATION INVOLVEMENT USING FRACTAL ANALYSIS

Background and Aim: To evaluate the potential impact of the presence and extent of furcation involvement (FI) on trabecular bone changes, both on digital orthopantomography (OPG) and cone-beam computed tomography (CBCT) images, using fractal analysis. Materials and Methods: In the present study, a total of 51 mandibular molars, of which 28 were determined as degree I FI (FI-I), and 23 were determined as degree II FI (FI-II) were included, while 43 mandibular molars without any evidence of FI (non-FI) served as the control group. Fractal dimensions (FD) were calculated using digital panoramic and CBCT images with Image J software. Receiver operating characteristic (ROC) analysis was used to compare the FD-FI diagnostic capacity of OPG and CBCT images. Results: The FD values of digital panoramic and CBCT images were significantly higher in the control group than in the FI-I and FI-II groups (p<0.05). Also, the FD calculated on digital panoramic radiographs was markedly higher than the FDs of CBCT in all groups (p<0.05). The area under ROC curves for differentiating FI-I from the non-FI group were 0.752 and 0.828, and to diagnose FI-II were 0.877 and 0.902 for OPG_FD and CBCT_FD, respectively. Conclusion: As fractal analysis has the potential to determine the presence, extent, and severity of FI in both panoramic and CBCT images, it can serve as a measure for a thorough analysis of cases with FI. When FI is considered a vital complexity factor in periodontal diseases/conditions, the benefit of reliable measures

Authors

Institutions

Publication Details

Journal
DergiPark (Istanbul University)
Published
2024-09-30
Primary Topic
Lipid metabolism and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASSESSMENT OF TRABECULAR CHANGES IN FURCATION INVOLVEMENT USING FRACTAL ANALYSIS

Nagihan Koç, Buket Acar, Nermin Tarhan
DergiPark (Istanbul University)
Lipid metabolism and disorders
article

ASSESSMENT OF TRABECULAR CHANGES IN FURCATION INVOLVEMENT USING FRACTAL ANALYSIS

Nagihan Koç, Buket Acar, Nermin Tarhan
article en

Abstract

Background and Aim: To evaluate the potential impact of the presence and extent of furcation involvement (FI) on trabecular bone changes, both on digital orthopantomography (OPG) and cone-beam computed tomography (CBCT) images, using fractal analysis. Materials and Methods: In the present study, a total of 51 mandibular molars, of which 28 were determined as degree I FI (FI-I), and 23 were determined as degree II FI (FI-II) were included, while 43 mandibular molars without any evidence of FI (non-FI) served as the control group. Fractal dimensions (FD) were calculated using digital panoramic and CBCT images with Image J software. Receiver operating characteristic (ROC) analysis was used to compare the FD-FI diagnostic capacity of OPG and CBCT images. Results: The FD values of digital panoramic and CBCT images were significantly higher in the control group than in the FI-I and FI-II groups (p<0.05). Also, the FD calculated on digital panoramic radiographs was markedly higher than the FDs of CBCT in all groups (p<0.05). The area under ROC curves for differentiating FI-I from the non-FI group were 0.752 and 0.828, and to diagnose FI-II were 0.877 and 0.902 for OPG_FD and CBCT_FD, respectively. Conclusion: As fractal analysis has the potential to determine the presence, extent, and severity of FI in both panoramic and CBCT images, it can serve as a measure for a thorough analysis of cases with FI. When FI is considered a vital complexity factor in periodontal diseases/conditions, the benefit of reliable measures

DergiPark (Istanbul University)
Hacettepe University (TR)
Openalex Percentile: Top 52%
Lipid metabolism and disorders
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.