Three-Dimensional Computed Tomography Image Reformation for Comparison of Foraminal Cross-Sectional Dimension in Patients Who Have Undergone Laminoplasty and Laminectomy with Fusion.

PURPOSE OF THE STUDY: Laminectomy with fusion (LF) is commonly performed with laminoplasty (LP) for cervical myelopathy. Foraminal stenosis is important in the surgical treatment of cervical myelopathy. LF and LP can affect foraminal size in different ways. This study aimed to compare foraminal dimensions after LF and LP using a medical computer-assisted design (CAD) program. MATERIAL AND METHODS: Computed tomography (CT) scans of the cervical vertebrae of 16 patients with cervical myelopathy were retrospectively viewed in the Digital Imaging and Communications in Medicine format on a CAD program. CT images were reformatted in an oblique plane perpendicular to the long axis of each foramen from C2-C3 to C6-C7. The narrowest foraminal crosssectional dimension (FCD) was measured and compared between the LF and LP groups at the operated, non-operated, and C4-C5 levels. The difference between the preoperative and postoperative FCDs was also calculated and compared between the operated and C4-C5 levels. Intra- and interobserver reliabilities for FCD measurements were evaluated using intraclass correlation coefficients. RESULTS AND DISCUSSION: At the operated spinal levels, the LF and LP groups showed decreased and increased mean FCDs, respectively. At the adjacent non-operated levels, the mean FCD slightly increased in both the groups. In the LF group, the difference between the preoperative and postoperative FCDs in the C4-C5 levels was larger than that in the other operated levels, but this difference was insignificant. CONCLUSIONS: LF and LP showed contrary results for FCD. Therefore, FCD and kyphosis should be considered for LF and LP. KEY WORDS: three-dimensional, foraminal cross-sectional dimension, laminoplasty, laminectomy fusion, computer-aided design, drafting system, preoperative-postoperative comparison.

Convolutional LSTM-LSTM model for predicting the daily number of influenza patients in South Korea using satellite images.

OBJECTIVES: Influenza affects a considerable proportion of the global population each year, and meteorological conditions may have a significant impact on its transmission. In this study, we aimed to develop a prediction model for the number of influenza patients at the national level using satellite images and provide a basis for predicting influenza through satellite image data. STUDY DESIGN: We developed an influenza incidence prediction model using satellite images and influenza patient data. METHODS: We collected satellite images and daily influenza patient data from July 2014 to June 2019 and developed a convolutional long short-term memory (LSTM)-LSTM neural network model. The model with the lowest average of mean absolute error (MAE) was selected. RESULTS: The final model showed a high correlation between the predicted and actual number of influenza patients, with an average MAE of 5.9010 per million population. The model performed best with a 2-week time sequence. CONCLUSIONS: We developed a national-level prediction model using satellite images to predict influenza incidence. The model offers the advantage of nationwide analysis. These results may reduce the burden of influenza by enabling timely public health interventions.

Association between waist circumference change after smoking cessation and incidence of hypertension in Korean adults.

OBJECTIVES: This study investigates the association between smoking cessation and hypertension incidence, as well as the association between waist circumference change after smoking cessation and hypertension incidence. STUDY DESIGN: This was a nationwide population-based cohort study. METHODS: We used the Korean Health Screening Cohort data and included 158,505 participants who had undergone two or more health examinations between 2008 and 2011, with follow-ups throughout 2019. Smoking cessation and waist changes were captured based on difference between first and follow-up screening dates. Hazard ratio (HR) and 95% confidence interval (CI) for hypertension risk were estimated using multivariable Cox proportional hazard regression models. RESULTS: There were 31,270 cases of hypertension during a median follow-up of 8.50 years. After adjusting for potential confounding factors, HR for hypertension were 1.01 (95% CI: 0.97-1.05), 0.91 (95% CI: 0.87-0.95), and 0.88 (95% CI: 0.85-0.91) for recent quitters, long-term quitters, and non-smokers, respectively, compared with current smokers. HR for hypertension, compared with current smokers, were 0.89 (95% CI: 0.84-0.94), 0.91 (95% CI: 0.85-0.97), and 0.99 (95% CI: 0.91-1.08) for long-term quitters with no waist gain, long-term quitters with waist gain of 0.1-5.0 cm, and long-term quitters with waist gain of ≥5.0 cm, respectively. CONCLUSIONS: Long-term smoking cessation was significantly associated with decreased risk of hypertension, and long-term smoking cessation with no waist gain or less than 5.0 cm of waist gain was significantly associated with decreased risk of hypertension. However, more than 5.0 cm of waist gain can attenuate the effect of long-term smoking cessation on lowering the risk of hypertension.

Involvement of limbic structures in patients with isolated rapid eye movement sleep behavior disorder.

This study aimed to investigate the alterations in limbic structure volumes and limbic covariance network in patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD) and to compare them with healthy controls. We retrospectively enrolled 35 patients with iRBD and 35 healthy controls who underwent three-dimensional T1-weighted brain MRI. Volumetric analysis of subcortical limbic structures, including the hippocampus, amygdala, thalamus, mammillary body, hypothalamus, basal forebrain, septal nuclei, fornix, and nucleus accumbens, was performed. Furthermore, the limbic covariance network was examined using graph theory based on the limbic structure volumes. Some of the limbic structure volumes differed significantly. The right amygdala and hypothalamus volumes were lower in the patients with iRBD than in the healthy controls (0.101% vs. 0.114%, p = 0.016, and 0.027% vs. 0.030%, p = 0.045, respectively). However, there were no significant differences in the limbic covariance network between the groups. This study demonstrated that the volumes of the right amygdala and hypothalamus are lower in patients with iRBD, even without cognitive impairments, than in healthy controls. However, there were no significant differences in the limbic covariance network between the groups. The involvements of the limbic structures could be related to the conversion to neurodegenerative diseases in patients with iRBD.