Estimating the Extraction Time of an Upper Third Molar: Proposal and Validation of Results

<b>Background:</b> Numerous studies in the literature have aimed to evaluate the difficulty level of removing third molars. However, most of these studies have focused on the lower third molars, which can lead to complications. There is a lack of a method to determine the complexity of upper third molar extraction. Therefore, this study's objective was to develop an equation using multiple linear regression to estimate the extraction time of an upper third molar based on its complexity. <b>Methods:</b> This study involved patients enrolled in the Master of Oral Surgery program at the University of Seville. To determine their relationship with surgical time, the researchers analyzed various factors, such as depth, root morphology, and the need for odontosection. They then validated their findings by studying patients treated at Palmaplanas Hospital in Mallorca. <b>Results:</b> The cohort analysis from the University of Seville revealed significant associations between surgical time and the identified factors. A regression equation design was performed to predict the total duration of surgical intervention for wisdom teeth extraction. This equation incorporates several independent variables, represented by Xi, together with a constant term, C, and the corresponding coefficients, Bi, which weight the impact of each variable on the intervention time. The results are as follows: -0.312 (spatial relationship), 0.651 (depth), -0.443 (bone and mucosa integrity), 0.214 (roots), -0.745 (ostectomy), 0.713 (odontosection), and -0.426 (suture). Upon application of the statistical methodology to the Palmaplanas Hospital cohort, a regression coefficient of 0.770 was determined. This indicates a strong correlation between the input data and the estimated surgical time. <b>Conclusions:</b> In conclusion, the proposed formula demonstrates notable validity in predicting the surgical time required to extract upper third molars.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2024-09-19
DOI
https://doi.org/10.3390/diagnostics14182075
Citations
1
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating the Extraction Time of an Upper Third Molar: Proposal and Validation of Results

Vanessa Montoya-Salazar, Luis-Guillermo Oliveros-López, María‐Ángeles Serrera‐Figallo, Daniel Torrés-Lagares et al.
1 citations
Diagnostics
Dental Radiography and Imaging
0.49
article

Estimating the Extraction Time of an Upper Third Molar: Proposal and Validation of Results

Vanessa Montoya-Salazar, Luis-Guillermo Oliveros-López, María‐Ángeles Serrera‐Figallo, Daniel Torrés-Lagares, María Baus‐Domínguez, Paula Hermida-Cabrera, Pedro Alomar-Velasco, Belén Lima-Sánchez
article en
1 citations

Abstract

<b>Background:</b> Numerous studies in the literature have aimed to evaluate the difficulty level of removing third molars. However, most of these studies have focused on the lower third molars, which can lead to complications. There is a lack of a method to determine the complexity of upper third molar extraction. Therefore, this study's objective was to develop an equation using multiple linear regression to estimate the extraction time of an upper third molar based on its complexity. <b>Methods:</b> This study involved patients enrolled in the Master of Oral Surgery program at the University of Seville. To determine their relationship with surgical time, the researchers analyzed various factors, such as depth, root morphology, and the need for odontosection. They then validated their findings by studying patients treated at Palmaplanas Hospital in Mallorca. <b>Results:</b> The cohort analysis from the University of Seville revealed significant associations between surgical time and the identified factors. A regression equation design was performed to predict the total duration of surgical intervention for wisdom teeth extraction. This equation incorporates several independent variables, represented by Xi, together with a constant term, C, and the corresponding coefficients, Bi, which weight the impact of each variable on the intervention time. The results are as follows: -0.312 (spatial relationship), 0.651 (depth), -0.443 (bone and mucosa integrity), 0.214 (roots), -0.745 (ostectomy), 0.713 (odontosection), and -0.426 (suture). Upon application of the statistical methodology to the Palmaplanas Hospital cohort, a regression coefficient of 0.770 was determined. This indicates a strong correlation between the input data and the estimated surgical time. <b>Conclusions:</b> In conclusion, the proposed formula demonstrates notable validity in predicting the surgical time required to extract upper third molars.

DiagnosticsVol. 14(18)
Universidad de Sevilla (ES)
Openalex Percentile: Top 35%
Dental Radiography and Imaging
0.49
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.