Recently, sedation is routinely used in children who lacked cooperation in pediatric dental clinics. The purpose of this study is to analyze dental treatment cases in department of pediatric dentistry at Dankook University Dental Hospital associating with sedation during 5 years.From January 2011 to December 2015, information about dental treatment cases in department of pediatric dentistry was collected and reviewed. The information gathered included patient gender, age, sedation type, sedative agents, date of operation, and type of procedure.The proportion of treatment cases with conscious sedation for total treatment cases continued to decline until 2014. On the other hand, the incidence of general anesthesia increased gradually. The frequency of midazolam administration and nitrous oxide inhalation sedation increased recently. The use of conscious sedation was significantly decreased when the age of patient was 3 years or older. The frequency of general anesthesia was similar in all age groups. There was a tendency to perform treatment with deeper sedation when the patient was male than female, and when the pulp treatment was performed together with the restorative treatment than not performed. The frequency of re-treatment within 90 days after restoration treatment decreased as the depth of sedation increased.
Anesthesia, General ; Child ; Conscious Sedation ; Dental Clinics ; Female ; Hand ; Humans ; Incidence ; Inhalation ; Male ; Midazolam ; Nitrous Oxide ; Pediatric Dentistry ; Retrospective Studies ; Statistics as Topic

The purpose of this study is to evaluate validity, reliability and reproducibility of tooth width (TW), arch length (AL) and arch length discrepancy (ALD) measured on a digital model taken via 3-dimensional model scanner and intraoral scanner compared to a plaster model.
A total of 30 patients aged 12 to 18 were eligible for the study. 3 types of models were acquired from each patient: a conventional plaster model (P), a model scanned digital model (MSD) taken via Freedom UHD® and an intraoral scanned digital model (ISD) taken via CS3600® in-vivo. The reliability of TW and AL in each group was evaluated using Pearson’s correlation coefficient, while the reproducibility was evaluated with intraclass correlation coefficient. The validity of space analysis was assessed by paired t-test.
As a result, all measurements of P, MSD and ISD groups showed favorable reliability and reproducibility. Most of measurements for space analysis in MSD group and TW in ISD group also presented high validity. AL and ALD presented statistically significant difference between P and ISD group. The validity of measurements of space analysis in ISD group was short in doubt to valid, but clinically acceptable. Both MSD and ISD are clinically acceptable to use for space analysis but clinician should be aware that errors can be found using a digital model.

The objective of this study is to evaluate short-term results of total laparoscopic hysterectomy with those of total abdominal hysterectomy and laparoscopically assisted vaginal hysterectomy in a retrospective study. We compared patient's age, mean uterine weight, total operating time, length of hospital stay and perioperative hemoglobin concentration change between total laparoscopic hysterectomy (300 patients) and total abdominal hysterectomy (100 patients) and laparoscopically assisted vaginal hysterectomy (52 patients). There were no differences in terms of patient's age, parity between the three groups. There were 7 minor complications in the laparoscopically assisted vaginal hysterectomy group compared with 9 minor complications in the abdominal hysterectomy group and 14 minor complications in the total laparoscopic hysterectomy group (P not significant). The length of hospital stay was significantly shorter for total laparoscopic hysterectomy than laparoscopically assisted vaginal hysterectomy and total abdominal hysterectomy (p<.001). This study demonstrates that laparoscopic-assisted vaginal hysterectomy and total laparoscopic hysterectomy appears to be as safe as laparotomy and may replace abdominal hysterectomy in most patients and generally has the advantage of shorter hospital stay and earlier return to normal activities.
Female ; Humans ; Hysterectomy* ; Hysterectomy, Vaginal* ; Laparotomy ; Length of Stay ; Parity ; Retrospective Studies

Less than 2% of patients with primary esophageal cancers have synchronous primary lung cancers and many patients with these synchronous tumors are deemed ineligible for radical resection by surgeons due to the poor prognoses of both the diseases. However, we believe that carefully selected patients could benefit from one stage curative resection for these synchronous tumors. We experienced a case of synchronous double cancer of the lung and esophagus and performed bilobectomy and Ivor Lewis operation simultaneously. To the best of our knowledge, this is the first report on the good result of one stage curative resection for these synchronous serious tumors in Korea.
Esophageal Neoplasms ; Esophagus* ; Humans ; Korea ; Lung Neoplasms* ; Prognosis

Background: and Purpose Endovascular recanalization therapy (ERT) is becoming increasingly important in the management of acute ischemic stroke (AIS). However, the hospital volume threshold for optimal ERT remains unknown. We investigated the relationship between hospital volume of ERT and risk-adjusted patient outcomes. Methods: From the National Health Insurance claims data in Korea, 11,745 patients with AIS who underwent ERT from July 2011 to June 2016 in 111 hospitals were selected. We measured the hospital’s ERT volume and patient outcomes, including the 30-day mortality, readmission, and postprocedural intracranial hemorrhage (ICH) rates. For each outcome measure, we constructed risk-adjusted prediction models incorporating demographic variables, the modified Charlson comorbidity index, and the stroke severity index (SSI), and validated them. Risk-adjusted outcomes of AIS cases were compared across hospital quartiles to confirm the volume-outcome relationship (VOR) in ERT. Spline regression was performed to determine the volume threshold. Results: The mean AIS volume was 14.8 cases per hospital/year and the unadjusted means of mortality, readmission, and ICH rates were 11.6%, 4.6%, and 8.6%, respectively. The VOR was observed in the risk-adjusted 30-day mortality rate across all quartile groups, and in the ICH rate between the first and fourth quartiles (P<0.05). The volume threshold was 24 cases per year. Conclusions There was an association between hospital volume and outcomes, and the volume threshold in ERT was identified. Policies should be developed to ensure the implementation of the AIS volume threshold for hospitals performing ERT.

Background: Anxiety and fear in children's dental care are major impediments to successful dental care. High-quality dental treatment can be achieved using various behavioral control methods; however, conscious sedation using drugs can be used if behavioral control is difficult, owing to excessive fear and anxiety. This study aimed to examine the trends in conscious sedation implemented in pediatric dentistry at the Dankook University Dental Hospital over the past 11 years. Methods: This study included 6,438 cases of dental treatment under conscious sedation conducted over 11 years between January 2011 and December 2021 in the Department of Pediatric Dentistry at Dankook University Dental Hospital. Results: Over the past 11 years, the number of dental treatments under sedation has increased. In the case of inhalation sedation using nitrous oxide, the rate of increase was approximately twice every year, and the use of midazolam gradually decreased. The average age of children who underwent sedation was 5.11 years, and the rate of sedation treatment in children aged <4 years tended to decrease, while that of children aged >5 years tended to increase. This is related to the trend of changes in drugs used. In a sex-based survey, sedation treatment rate was higher in males than that in females. Conclusion Appropriate selection of sedatives can reduce the frequency of general anesthesia and minimize complications through efficient and safe dental treatments. Trend analysis of sedation by year will help provide guidelines for the appropriate selection of sedation for dental treatment of children and patients with disability.

This study aimed to compare color matching between single-shade composite resin-restored teeth with various pulp capping materials and the dentin surrounding the restoration through instrumental analysis and visual evaluation of the color difference. Fifty maxillary right central incisor acrylic resin teeth were prepared with standardized Class III cavities on the proximal surfaces. These teeth were divided into five groups: restored with single-shade composite resin only; Ultra-Blend™ plus followed by single-shade composite resin; TheraCal PT™ followed by single-shade composite resin; Endocem® MTA premixed followed by single-shade composite resin; and Well-root PT™ followed by single-shade composite resin. The color difference (ΔEab*) between the restored area and the center of the resin teeth was measured using a spectrophotometer. No significant color difference was observed in groups restored with only single-shade composite resin, Ultra-Blend™ plus, and TheraCal PT™. The visual evaluation revealed that Ultra-Blend™ plus exhibited the best color matching score, whereas the Endocem® MTA premixed and Well-root PT™ groups showed significantly lower color matching scores than the single-shade composite resin-only group. When opting for single-shade composite resin usage for anterior tooth restorations with the aim of reducing chair time, pulp capping materials UltraBlend™ plus and TheraCal PT™ provide esthetically pleasing results.

This study aimed to enhance the physicochemical properties of sodium iodide-based root filling materials, particularly solubility. In earlier developmental stages, the iodoformcontaining paste exhibited high antibacterial efficacy but failed to meet only the solubility requirement among the ISO 6876 criteria. Therefore, this study focused on enhancing the physicochemical properties of the paste under development, particularly centering on reducing its solubility. Four experimental groups were established, including three control group. The previously developed D30 paste was named the Oil 33 group, and the control group was named the Vitapex® group. The Oil 50 group, in which the oil content was increased, and the Oil 45L group, in which lanolin was incorporated. The physical properties (solubility, pH, flowability, and film thickness) of the four pastes were evaluated according to the ISO 6876 standards. No significant differences were observed between the Oil 45L and Vitapex® groups in any of the physical property evaluations. While the Oil 33 and Oil 50 groups met the ISO 6876 standards for flowability and film thickness, the Oil 45L group met all the physical properties. However, reducing the overall oil content may be necessary to enhance the antimicrobial properties. The result of the physicochemical experiments showed that the Oil 45L group with the newly formulated composition and incorporated lanolin exhibited low solubility meeting the ISO 6876 standard of ≤ 3%. We were able to develop a paste with more stable solubility than previous iodide-based root-filling materials. Therefore, the oil content must be further adjusted to improve its antimicrobial properties. If other physical properties also meet the ISO 6876 standards and demonstrate excellent results in cytotoxicity tests, this root filling material could potentially replace existing options.

Background: It is difficult to distinguish subtle differences shown in computed tomography (CT) images of coronavirus disease 2019 (COVID-19) and bacterial pneumonia patients, which often leads to an inaccurate diagnosis. It is desirable to design and evaluate interpretable feature extraction techniques to describe the patient's condition. Methods: This is a retrospective cohort study of 170 confirmed patients with COVID-19 or bacterial pneumonia acquired at Yeungnam University Hospital in Daegu, Korea. The lung and lesion regions were segmented to crop the lesion into 2D patches to train a classifier model that could differentiate between COVID-19 and bacterial pneumonia. The K-means algorithm was used to cluster deep features extracted by the trained model into 20 groups.Each lesion patch cluster was described by a characteristic imaging term for comparison.For each CT image containing multiple lesions, a histogram of lesion types was constructed using the cluster information. Finally, a Support Vector Machine classifier was trained with the histogram and radiomics features to distinguish diseases and severity. Results: The 20 clusters constructed from 170 patients were reviewed based on common radiographic appearance types. Two clusters showed typical findings of COVID-19, with two other clusters showing typical findings related to bacterial pneumonia. Notably, there is one cluster that showed bilateral diffuse ground-glass opacities (GGOs) in the central and peripheral lungs and was considered to be a key factor for severity classification. The proposed method achieved an accuracy of 91.2% for classifying COVID-19 and bacterial pneumonia patients with 95% reported for severity classification. The CT quantitative parameters represented by the values of cluster 8 were correlated with existing laboratory data and clinical parameters. Conclusion Deep chest CT analysis with constructed lesion clusters revealed well-known COVID-19 CT manifestations comparable to manual CT analysis. The constructed histogram features improved accuracy for both diseases and severity classification, and showedcorrelations with laboratory data and clinical parameters. The constructed histogram features can provide guidance for improved analysis and treatment of COVID-19.

Background: It is difficult to distinguish subtle differences shown in computed tomography (CT) images of coronavirus disease 2019 (COVID-19) and bacterial pneumonia patients, which often leads to an inaccurate diagnosis. It is desirable to design and evaluate interpretable feature extraction techniques to describe the patient's condition. Methods: This is a retrospective cohort study of 170 confirmed patients with COVID-19 or bacterial pneumonia acquired at Yeungnam University Hospital in Daegu, Korea. The lung and lesion regions were segmented to crop the lesion into 2D patches to train a classifier model that could differentiate between COVID-19 and bacterial pneumonia. The K-means algorithm was used to cluster deep features extracted by the trained model into 20 groups.Each lesion patch cluster was described by a characteristic imaging term for comparison.For each CT image containing multiple lesions, a histogram of lesion types was constructed using the cluster information. Finally, a Support Vector Machine classifier was trained with the histogram and radiomics features to distinguish diseases and severity. Results: The 20 clusters constructed from 170 patients were reviewed based on common radiographic appearance types. Two clusters showed typical findings of COVID-19, with two other clusters showing typical findings related to bacterial pneumonia. Notably, there is one cluster that showed bilateral diffuse ground-glass opacities (GGOs) in the central and peripheral lungs and was considered to be a key factor for severity classification. The proposed method achieved an accuracy of 91.2% for classifying COVID-19 and bacterial pneumonia patients with 95% reported for severity classification. The CT quantitative parameters represented by the values of cluster 8 were correlated with existing laboratory data and clinical parameters. Conclusion Deep chest CT analysis with constructed lesion clusters revealed well-known COVID-19 CT manifestations comparable to manual CT analysis. The constructed histogram features improved accuracy for both diseases and severity classification, and showedcorrelations with laboratory data and clinical parameters. The constructed histogram features can provide guidance for improved analysis and treatment of COVID-19.