Features of cranio-maxillofacial trauma in the massive Sichuan earthquake: analysis of 221 cases with multi-detector row CT

Trends in mortality rates and correlations between intracranial injuries and external causes: A Japanese population study

The age-standardized incidence of head trauma in 2016 was 369 per 100,000 people worldwide. The Western Pacific region, including Japan, had the highest incidence. This study aimed to extract ICD-10 code data for intracranial injury (S06) and external causes of morbidity and mortality (V01-Y89), analyze their characteristics and interrelationships, and contribute to these diseases' prevention, treatment, and prognosis. The number of deaths according to injury type and external cause type of intracranial injury published by the Japanese government was statistically analyzed using JoinPoint, and univariate distribution and multivariate correlation were conducted using JMP Software. From 1999-2021, there was a downward trend in the number of deaths because of intracranial injuries: mortality from intracranial injuries was higher among those aged ≥65 years. Conversely, mortality from intracranial injuries was lower among those aged ≤14 years. Among deaths from intracranial injury, mortality from diffuse brain injury and traumatic subdural hemorrhage was more common. Among deaths from external causes of intracranial injury, mortality from falls, transport accidents, and other unforeseen accidents was more common. Mortality because of intracranial injuries increased significantly during the 2011 Great East Japan Earthquake. For some age groups and sexes, there were significant inverse correlations of mortality with traumatic subdural hemorrhage and traumatic subarachnoid hemorrhage for transport accidents, intentional self-harm and assault, and diffuse brain injury and focal brain injury for falls. We believe that the data presented in this study will be useful for preventing and treating intracranial injuries and for developing administrative measures to reduce intracranial injuries.

The Role of Large Language Models (LLMs) in Providing Triage for Maxillofacial Trauma Cases: A Preliminary Study

BACKGROUND

In the evolving field of maxillofacial surgery, integrating advanced technologies like Large Language Models (LLMs) into medical practices, especially for trauma triage, presents a promising yet largely unexplored potential. This study aimed to evaluate the feasibility of using LLMs for triaging complex maxillofacial trauma cases by comparing their performance against the expertise of a tertiary referral center.

METHODS

Utilizing a comprehensive review of patient records in a tertiary referral center over a year-long period, standardized prompts detailing patient demographics, injury characteristics, and medical histories were created. These prompts were used to assess the triage suggestions of ChatGPT 4.0 and Google GEMINI against the center's recommendations, supplemented by evaluating the AI's performance using the QAMAI and AIPI questionnaires.

RESULTS

The results in 10 cases of major maxillofacial trauma indicated moderate agreement rates between LLM recommendations and the referral center, with some variances in the suggestion of appropriate examinations (70% ChatGPT and 50% GEMINI) and treatment plans (60% ChatGPT and 45% GEMINI). Notably, the study found no statistically significant differences in several areas of the questionnaires, except in the diagnosis accuracy (GEMINI: 3.30, ChatGPT: 2.30; p = 0.032) and relevance of the recommendations (GEMINI: 2.90, ChatGPT: 3.50; p = 0.021). A Spearman correlation analysis highlighted significant correlations within the two questionnaires, specifically between the QAMAI total score and AIPI treatment scores (rho = 0.767, p = 0.010).

CONCLUSIONS

This exploratory investigation underscores the potential of LLMs in enhancing clinical decision making for maxillofacial trauma cases, indicating a need for further research to refine their application in healthcare settings.

Analysis of mandibular condylar and glenoid fossa fractures with computed tomography

OBJECTIVES

The purpose of this study was to investigate the prevalence of glenoid fossa and condylar fractures in patients with mandibular fractures using multidetector computed tomography (MDCT).

METHODS

A prospective study was performed in 227 patients with mandibular fractures who underwent 64-MDCT. Mandibular fractures were classified into four types: median, paramedian, angle and condylar. Statistical analysis of the relationship between prevalence of condylar fractures and mandibular fracture locations was performed using χ(2) test with Fisher's exact test. A P value less than 0.05 was considered statistically significant.

RESULTS

The prevalence of condylar fracture was 64.8 % of all patients with mandibular fractures, 66.7 % of median type (P = 0.667), 45.5 % of paramedian type (P = 0.001) and 12.3 % of angle type (P = 0.000), respectively. Furthermore, glenoid fossa fracture was seen in 1.4 % of patients with condylar fractures.

CONCLUSIONS

The results of the presented study suggest focusing also on incidental findings such as glenoid fossa fractures.

KEY POINTS

• The prevalence of condylar fracture was 64.8 % in patients with mandibular fractures. • Glenoid fossa fracture was seen in 1.4 % of patients with condylar fractures. • The study suggests a focus on incidental findings such as glenoid fossa fractures.