Predictive Value of Preoperative Radiographic Indices and Demographic Characteristics for Mandibular Third Molar Extraction Difficulty: A Retrospective Cohort Study

AIM: This study aimed to investigate the predictive value of preoperative radiographic indices, demographic characteristics, and psychological factors for mandibular third molar extraction difficulty, to develop a nomogram, and to interpret feature contributions using SHapley Additive exPlanations (SHAP) analysis. METHODS: In this retrospective cohort study of 250 patients, demographic characteristics, including age, sex, and body mass index (BMI), together with radiographic indices such as root morphology and psychological factors assessed using the Modified Dental Anxiety Scale (MDAS), were analyzed in relation to surgical difficulty, defined as operative time exceeding 45 minutes. Multivariate logistic regression was used to construct a nomogram, which was validated through receiver operating characteristic (ROC) curves and decision curve analysis (DCA). Feature importance was explored using SHAP analysis, and the association between operative time and perioperative outcomes was assessed. RESULTS: Multivariate logistic regression identified age, root morphology, Winter’s angulation, and preoperative dental anxiety (MDAS score) as key predictors of high surgical difficulty (p < 0.05). The resulting nomogram demonstrated excellent discrimination, with an area under the curve (AUC) of 0.91. SHAP analysis illustrated that age and Winter’s angulation contribute more to the model’s predictions, followed by root morphology. Longer operative time was independently associated with a higher risk of perioperative complications (odds ratio = 1.03, p < 0.05) and showed a positive correlation with pain intensity on postoperative day 1 (Spearman’s ρ = 0.712, p < 0.001). CONCLUSIONS: Bulbous or curved root morphology, advanced age, high dental anxiety, Winter’s angulation, and male sex were associated with the difficulty of mandibular third molar extraction. The developed nomogram serves as a precise, clinically interpretable tool for preoperative risk stratification. Integrating psychological evaluation with anatomical assessment facilitates a holistic approach to surgical planning.

Authors

Institutions

Publication Details

Journal
Annali Italiani di Chirurgia
Published
2026-05-09
DOI
https://doi.org/10.62713/aic.4524
Primary Topic
Dental Anxiety and Anesthesia Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Value of Preoperative Radiographic Indices and Demographic Characteristics for Mandibular Third Molar Extraction Difficulty: A Retrospective Cohort Study

Fengxing Xu, Yi Wu
Annali Italiani di Chirurgia
Dental Anxiety and Anesthesia Techniques
article

Predictive Value of Preoperative Radiographic Indices and Demographic Characteristics for Mandibular Third Molar Extraction Difficulty: A Retrospective Cohort Study

Fengxing Xu, Yi Wu
article en

Abstract

AIM: This study aimed to investigate the predictive value of preoperative radiographic indices, demographic characteristics, and psychological factors for mandibular third molar extraction difficulty, to develop a nomogram, and to interpret feature contributions using SHapley Additive exPlanations (SHAP) analysis. METHODS: In this retrospective cohort study of 250 patients, demographic characteristics, including age, sex, and body mass index (BMI), together with radiographic indices such as root morphology and psychological factors assessed using the Modified Dental Anxiety Scale (MDAS), were analyzed in relation to surgical difficulty, defined as operative time exceeding 45 minutes. Multivariate logistic regression was used to construct a nomogram, which was validated through receiver operating characteristic (ROC) curves and decision curve analysis (DCA). Feature importance was explored using SHAP analysis, and the association between operative time and perioperative outcomes was assessed. RESULTS: Multivariate logistic regression identified age, root morphology, Winter’s angulation, and preoperative dental anxiety (MDAS score) as key predictors of high surgical difficulty (p < 0.05). The resulting nomogram demonstrated excellent discrimination, with an area under the curve (AUC) of 0.91. SHAP analysis illustrated that age and Winter’s angulation contribute more to the model’s predictions, followed by root morphology. Longer operative time was independently associated with a higher risk of perioperative complications (odds ratio = 1.03, p < 0.05) and showed a positive correlation with pain intensity on postoperative day 1 (Spearman’s ρ = 0.712, p < 0.001). CONCLUSIONS: Bulbous or curved root morphology, advanced age, high dental anxiety, Winter’s angulation, and male sex were associated with the difficulty of mandibular third molar extraction. The developed nomogram serves as a precise, clinically interpretable tool for preoperative risk stratification. Integrating psychological evaluation with anatomical assessment facilitates a holistic approach to surgical planning.

Annali Italiani di ChirurgiaVol. 97(5)
Wenzhou Medical University (CN), Zigong First People's Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Dental Anxiety and Anesthesia Techniques
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.