In patients with fully edentulous jaw, treatment of complete dentures should be carried out in many stages when following the conventional methods. Therefore there were disadvantages such as multiple visits to dental clinic is inevitable. In addition, errors caused by polymerization shrinkage, which happens during the fabrication of denture, and difficulties in reproduction of damaged or lost denture were considered as disadvantages. But nowadays, computer-aided design and computer-aided manufacturing (CAD/CAM) system is widely used in dentistry and it has begun to expand its spectrum in manufacturing complete dentures. Using CAD/CAM system to fabricate complete dentures can reduce the number of patient's visit and clinical chair time, since taking impression, recording jaw relation, and selection of artificial teeth are performed at the same time during the first visit, and delivering of dentures during the second visit is possible. In addition, because 3D-Printing technology is used, errors by polymerization shrinkage can be reduced. Among the companies that fabricate complete dentures using CAD/CAM system, DENTCA CAD/CAM denture (DENTCA Inc., Los Angeles, CA, USA) is the most commercialized company. In this case, we treated patients of complete dentures using conventional complete denture method and DENTCA CAD/CAM denture system in the same patient. We would like to report this case because we have achieved good results not only in functional aspects of pronunciation, chewing, and swallowing but also in aesthetic aspects.
Computer-Aided Design ; Deglutition ; Dental Clinics ; Dentistry ; Denture, Complete ; Dentures ; Humans ; Jaw ; Jaw, Edentulous ; Mastication ; Methods ; Polymerization ; Polymers ; Reproduction ; Tooth, Artificial

No abstract available.
Dermatitis, Seborrheic* ; Lice Infestations*

No abstract available.
Dermatitis, Seborrheic* ; Lice Infestations*

Acute disseminated encephalomyelitis (ADEM) is a demyelinating and inflammatory condition of the central nervous system, occurring predominantly in white matter. ADEM involving the rhombencephalon without affecting the white matter is very rare. Here, we present an unusual case of ADEM involving only the rhombencephalon in a 4-year-old Asian girl. The patient complained of pain in the right lower extremities, general weakness, ataxia, and dysarthria. The initial brain CT showed subtle ill-defined low-density lesions in the pons and medulla. On brain MRI, T2 high signal intensity (T2-HSI) lesions with mild swelling were present in the pons, both middle cerebellar peduncles, and the anterior medulla. The initial diagnosis was viral encephalitis involving the rhombencephalon. Curiously, a cerebrospinal fluid (CSF) study revealed no cellularity, and negative viral marker findings. Three weeks later, follow up brain MRI showed that the extent of the T2-HSI lesions in the brain stem had decreased. After reinvestigation, it was found that she had a prior history of upper respiratory infection. In this case, we report the very rare case of a patient showing isolated involvement of the rhombencephalon in ADEM, mimicking viral rhombencephalitis on CT and MR imaging. ADEM can involve unusual sites such as the rhombencephalon in isolation, without involvement of the white matter or deep gray matter and, therefore, should be considered even when it appears in unusual anatomical areas. Thorough history taking is important for making a correct diagnosis.
Asian Continental Ancestry Group ; Ataxia ; Biomarkers ; Brain ; Brain Stem ; Central Nervous System ; Cerebrospinal Fluid ; Child, Preschool ; Diagnosis ; Dysarthria ; Encephalitis, Viral ; Encephalomyelitis ; Encephalomyelitis, Acute Disseminated* ; Female ; Follow-Up Studies ; Humans ; Lower Extremity ; Magnetic Resonance Imaging ; Pons ; Rhombencephalon

No abstract available.

Reed syndrome is an autosomal dominantly inherited disease with incomplete penetrance that is characterized by uterine and cutaneous leiomyoma. While the skin tumors are relatively uncommon and benign, women of affected families often develop uterine leiomyoma with associated infertility, pain and bleeding. Here, we report a case of Reed syndrome in a family with multiple cutaneous and uterine leiomyomas. A 30-year-old woman had not only multiple cutaneous leiomyomatosis on cheek and neck, but also uterine multiple leiomyoma. Her mother had lesions that the multiple cutaneous leiomyomatosis on both shoulders and underwent myomectomy for a huge uterine leiomyoma at the age of 45. Her older sister also underwent myomectomy for uterine leiomyoma.
Adult ; Cheek ; Female ; Hemorrhage ; Humans ; Infertility ; Leiomyoma ; Leiomyomatosis ; Mothers ; Neck ; Penetrance ; Shoulder ; Siblings ; Skin

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.