Hyperactive delirium with agitation following head and neck surgeries with free tissue transfer reconstruction (HNS-FTTR) represents a critical and potentially life-threatening postoperative complication. Although preoperative risk assessment is important, no established risk screening tool has been developed to accurately predict its occurrence.
In this retrospective observational study, we examined 192 consecutive patients who underwent HNS-FTTR between August 2019 and January 2024. We assessed the effectiveness of the existing delirium risk screening system, the DELirium Team Approach program which includes factors such as age ≥ 70 years, presence of brain disorders, dementia, alcohol consumption habits, a history of delirium, and use of benzodiazepines. Additionally, we explored the association between each risk factor and the onset of delirium.
Delirium occurred in 43 patients (22.4 %). The risk screening tool effectively predicted the occurrence of hyperactive delirium after HNS-FTTR (OR: 8.316; 95 % CI: 2.205–36.060; p = 0.004), with a sensitivity of 95.3 % and a specificity of 28.9 %. Multivariate analysis revealed age ≥ 70 years (OR: 2.179; 95 % CI: 1.058–4.662; p = 0.0383) and alcohol consumption habits (OR: 2.554; 95 % CI: 1.260–5.268; p = 0.0098) as significant independent risk factors.
Our findings suggest that the risk screening system evaluated in this study appears to be sensitive, simple, and effective for the preoperative prediction of hyperactive postoperative delirium following HNS-FTTR.
Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through conventional diagnostic strategies. The aim of this study was to develop machine learning (ML) models capable of identifying papillary thyroid carcinomas using preoperative variables.
Patients with thyroid nodules undergoing thyroid surgery were enrolled in a retrospective monocentric study. Six 2-class supervised ML models were developed to predict papillary thyroid carcinoma, by sequentially incorporating clinical-immunological, ultrasonographic, cytological, and radiomic variables.
Out of 186 patients, 92 nodules (49.5 %) were papillary thyroid carcinomas in the histological report. The Area Under the Curve (AUC) ranged from 0.41 to 0.61 using only clinical-immunological variables. All ML models exhibited an increased performance when ultrasound variables were included (AUC: 0.95–0.97). The addition of cytological (AUC: 0.86–0.97) and radiomic (AUC: 0.88–0.97) variables did not further improve ML models’ performance.
ML algorithms demonstrated low accuracy when trained with clinical-immunological data. However, the inclusion of radiological data significantly improved the models' performance, while cytopathological and radiomics data did not further improve the accuracy.
Level 4.
To investigate the accurate volume changes in the paranasal sinus and nasal cavity with age development, using three-dimensional (3D) imaging software
Paranasal sinus and nasal cavity volumes from computed tomography (CT) images in patients aged 0–24 years were measured using a 3D model to examine age-related changes. Paranasal sinus and nasal cavity growth were compared between age groups. Additionally, the correlation between body height and paranasal sinus growth was examined.
A total of 139 CT scans from 137 patients were analyzed. Volume growth of maxillary, ethmoidal, sphenoid, frontal sinuses, and nasal cavity was observed until 18, 16, 20, 20, and 22 years, respectively. Maxillary sinus rapidly grew at 2–8 and 9–12 years, ethmoid sinus 2–8 and 13–16 years, sphenoid sinus 5–8 years, frontal sinus 2–10 years, and nasal cavity 7–12 years. The median volume after growth completion for maxillary, ethmoidal, sphenoid, frontal sinuses, and nasal cavities was 21,937 mm³, 4868 mm³, 5870 mm³, 3172 mm³, and 15,555 mm³, respectively. The left-right difference in the nasal cavity volume increased with age. Sinus and nasal cavity growth completion was delayed by 2–4 years compared to general height growth.
Growth of the ethmoid, maxillary, sphenoid, frontal sinus, and nasal cavity was completed in approximately 20 years. Compared to the results shown in reports based primarily on 2D measurements, the ethmoid and sphenoid sinuses and nasal cavity were found to continue to grow until older age than previously thought.