Objective: To prospectively evaluate the effect of accelerated deep learning-based reconstruction (Accel-DL) on improving brain magnetic resonance imaging (MRI) quality and reducing scan time compared to that in conventional MRI. Materials and Methods: This study included 150 participants (51 male; mean age 57.3 ± 16.2 years). Each group of 50 participants was scanned using one of three 3T scanners from three different vendors. Conventional and Accel-DL MRI images were obtained from each participant and compared using 2D T1- and T2-weighted and 3D gradient-echo sequences. Accel-DL acquisition was achieved using optimized scan parameters to reduce the scan time, with the acquired images reconstructed using U-Net-based software to transform low-quality, undersampled k-space data into high-quality images. The scan times of Accel-DL and conventional MRI methods were compared. Four neuroradiologists assessed the overall image quality, structural delineation, and artifacts using Likert scale (5- and 3-point scales). Inter-reader agreement was assessed using Fleiss’ kappa coefficient. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and volumetric quantification of regional structures and white matter hyperintensities (WMHs) was performed. Results: Accel-DL showed a mean scan time reduction of 39.4% (range, 24.2%–51.3%). Accel-DL improved overall image quality (3.78 ± 0.71 vs. 3.36 ± 0.61, P < 0.001), structure delineation (2.47 ± 0.61 vs. 2.35 ± 0.62, P < 0.001), and artifacts (3.73 ± 0.72 vs. 3.71 ± 0.69, P = 0.016). Inter-reader agreement was fair to substantial (κ = 0.34–0.50). SNR and CNR increased in Accel-DL (82.0 ± 23.1 vs. 31.4 ± 10.8, P = 0.02; 12.4 ± 4.1 vs. 4.4 ± 11.2, P = 0.02). Bland-Altman plots revealed no significant differences in the volumetric measurements of 98.2% of the relevant regions, except in the deep gray matter, including the thalamus. Five of the six lesion categories showed no significant differences in WMH segmentation, except for leukocortical lesions (r = 0.64 ± 0.29). Conclusion Accel-DL substantially reduced the scan time and improved the quality of brain MRI in both spin-echo and gradientecho sequences without compromising volumetry, including lesion quantification.

Purpose: This study aimed to investigate the effects of postnatal systemic corticosteroids on neurodevelopment in very low birth weight (VLBW) preterm infants. Methods: This was a population-based study of the Korean Neonatal Network of VLBW infant born at 23+0 and 31+6 weeks of gestation between 2013 and 2020. VLBW preterm infants assessed using the Bayley Scales of Infant and Toddler Development, third edition (BSID-III) at 18–24 months of corrected age and 3 years of age were enrolled. The primary outcomes were BSID-III scores and neurodevelopmental delays, with scores of <85. Socioeconomic status and clinical variables were adjusted for using multivariate regression analyses. Results: In total, 517 infants were enrolled in this study. Among the 216 (41.8%) infants who received postnatal systemic corticosteroids, the rate of cognitive delay was significantly higher at 18–24 months of corrected age than at 3 years of age. The rates of language and motor delays were significantly higher both at 18–24 months of corrected age and at 3 years of age. When multivariate logistic regression was performed, postnatal systemic corticosteroid use was significantly associated with cognitive delay at 18–24 months of corrected age, but not at 3 years of age. There was no significant association between postnatal systemic corticosteroid use and language or motor delay at 18-24 months of corrected age or at 3 years of age after multivariate logistic regression. Conclusion Postnatal systemic corticosteroid use in VLBW preterm infants increased the risk of cognitive delay at 18–24 months of corrected age, but not at 3 years.

Objective: To investigate the characteristics and risk factors of an outbreak of acute hemorrhagic conjunctivitis (AHC) in a boarding middle school in Guangdong Province, in order to provide a scientific evidence for effective prevention and control of campus AHC outbreaks. Methods: From September 1st to 28th 2023, case identification was conducted among 559 students and 60 faculty members using standardized definition. Descriptive analysis was conducted on the three distrubution patterns of the outbreak. Questionnaires were designed, and a case-control study was adopted to analyze the possible risk factors of the disease transmission. The propensity score matching (PSM) method was used to control the difference of baseline data. Results: A total of 269 cases of AHC were identified, with an attack rate of 43.46%. The pathogen was confirmed as Coxsackie virus A24 variant (CA24v). Among these, 264 cases were students (attack rate of 47.23%) and 5 were staff (attack rate of 8.33%). A total of 153 pairs of PSM were successfully matched. After PSM matching, there were no statistically significant differences in gender, grade and class between the case group and the control group ( χ 2=0.12, 5.41, 11.24, P >0.05). The results of multivariate Logistic regression analysis showed that middle school students whose towels contacted with others ( OR =1.81), and direct contact with other AHC cases recently ( OR =4.89) were more likely to have AHC; while wearing glasses ( OR =0.43) and frequent use of hand sanitizer ( OR = 0.37 ) were less likely to have AHC ( P <0.05). Conclusion The outbreak of AHC is caused by CA24v, demonstrating rapid spread and extensive impact within the school setting.

Objective: To prospectively evaluate the effect of accelerated deep learning-based reconstruction (Accel-DL) on improving brain magnetic resonance imaging (MRI) quality and reducing scan time compared to that in conventional MRI. Materials and Methods: This study included 150 participants (51 male; mean age 57.3 ± 16.2 years). Each group of 50 participants was scanned using one of three 3T scanners from three different vendors. Conventional and Accel-DL MRI images were obtained from each participant and compared using 2D T1- and T2-weighted and 3D gradient-echo sequences. Accel-DL acquisition was achieved using optimized scan parameters to reduce the scan time, with the acquired images reconstructed using U-Net-based software to transform low-quality, undersampled k-space data into high-quality images. The scan times of Accel-DL and conventional MRI methods were compared. Four neuroradiologists assessed the overall image quality, structural delineation, and artifacts using Likert scale (5- and 3-point scales). Inter-reader agreement was assessed using Fleiss’ kappa coefficient. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and volumetric quantification of regional structures and white matter hyperintensities (WMHs) was performed. Results: Accel-DL showed a mean scan time reduction of 39.4% (range, 24.2%–51.3%). Accel-DL improved overall image quality (3.78 ± 0.71 vs. 3.36 ± 0.61, P < 0.001), structure delineation (2.47 ± 0.61 vs. 2.35 ± 0.62, P < 0.001), and artifacts (3.73 ± 0.72 vs. 3.71 ± 0.69, P = 0.016). Inter-reader agreement was fair to substantial (κ = 0.34–0.50). SNR and CNR increased in Accel-DL (82.0 ± 23.1 vs. 31.4 ± 10.8, P = 0.02; 12.4 ± 4.1 vs. 4.4 ± 11.2, P = 0.02). Bland-Altman plots revealed no significant differences in the volumetric measurements of 98.2% of the relevant regions, except in the deep gray matter, including the thalamus. Five of the six lesion categories showed no significant differences in WMH segmentation, except for leukocortical lesions (r = 0.64 ± 0.29). Conclusion Accel-DL substantially reduced the scan time and improved the quality of brain MRI in both spin-echo and gradientecho sequences without compromising volumetry, including lesion quantification.

Purpose: This study aimed to investigate the effects of postnatal systemic corticosteroids on neurodevelopment in very low birth weight (VLBW) preterm infants. Methods: This was a population-based study of the Korean Neonatal Network of VLBW infant born at 23+0 and 31+6 weeks of gestation between 2013 and 2020. VLBW preterm infants assessed using the Bayley Scales of Infant and Toddler Development, third edition (BSID-III) at 18–24 months of corrected age and 3 years of age were enrolled. The primary outcomes were BSID-III scores and neurodevelopmental delays, with scores of <85. Socioeconomic status and clinical variables were adjusted for using multivariate regression analyses. Results: In total, 517 infants were enrolled in this study. Among the 216 (41.8%) infants who received postnatal systemic corticosteroids, the rate of cognitive delay was significantly higher at 18–24 months of corrected age than at 3 years of age. The rates of language and motor delays were significantly higher both at 18–24 months of corrected age and at 3 years of age. When multivariate logistic regression was performed, postnatal systemic corticosteroid use was significantly associated with cognitive delay at 18–24 months of corrected age, but not at 3 years of age. There was no significant association between postnatal systemic corticosteroid use and language or motor delay at 18-24 months of corrected age or at 3 years of age after multivariate logistic regression. Conclusion Postnatal systemic corticosteroid use in VLBW preterm infants increased the risk of cognitive delay at 18–24 months of corrected age, but not at 3 years.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Background: In Korea, the patterns of prevalence of gynecological cancers have shifted due to rising obesity-related cancer cases. We evaluated the associations of body mass index (BMI) and waist circumference (WC) with the risk of gynecological malignancy in Korean women. Methods: Using National Health Insurance Service cohort data, we analyzed 365,581 participants among the 1,999,980 women aged ≥ 19 years who underwent health check-ups at the baseline year 2009–2010, excluding those who died, those with prior cancer diagnoses, underwent hysterectomy and/or salpingo-oophorectomy before the index date (January 1st, 2011), or missing/outliers BMI and WC values. Follow-up extended to December 31st, 2021, evaluating the incidences of endometrial, ovarian, and cervical cancer. The hazard ratios (HRs) and 95% confidence intervals (CIs) for each gynecological malignancy according to BMI and WC were calculated using Cox proportional hazard regression. Results: Among the 365,581 participants, 898, 1,268, and 873 cases of endometrial, ovarian, and cervical cancer occurred, respectively. HRs (95% CIs) for endometrial cancer were 1.37 (1.15–1.63), 1.63 (1.38–1.94), and 3.64 (2.81–4.70) for BMIs of 23.0–24.9, 25.0–29.9, and ≥ 30 kg/m2 compared to BMI of 18.5–22.9 kg/m2 (P for trend < 0.001). HRs (95% CIs) for ovarian cancer were 1.16 (1.00–1.33), 1.19 (1.03–1.37), and 1.49 (1.12–1.98) for BMIs of 23.0–24.9, 25.0–29.9, and ≥ 30 kg/m2 compared to BMI of 18.5–22.9 kg/m2 (P for trend = 0.002). No significant association was found between BMI and the risk for cervical cancer (P for trend = 0.266). HRs (95% CIs) for endometrial cancer were 1.35 (1.09–1.66), 1.41 (1.14–1.74), and 1.90 (1.55–2.34) for the 2nd, 3rd, and 4th quartiles of WCs compared to the 1st quartile (P for trend <0.001). Ovarian cancer tended to increase and cervical cancer tended to decrease as WC increased (P for trend = 0.035 for ovarian cancer, P for trend = 0.034 for cervical cancer). Conclusion In Korean women, the risks of endometrial and ovarian cancers increased significantly from the pre-obese level as BMI and WC increased, while cervical cancer risk tended to increase as WC decreased. Management of obesity should be reinforced for the prevention of obesity-related gynecological cancers, considering the increasing incidence of these cancers among Korean women.

Background: In Korea, the patterns of prevalence of gynecological cancers have shifted due to rising obesity-related cancer cases. We evaluated the associations of body mass index (BMI) and waist circumference (WC) with the risk of gynecological malignancy in Korean women. Methods: Using National Health Insurance Service cohort data, we analyzed 365,581 participants among the 1,999,980 women aged ≥ 19 years who underwent health check-ups at the baseline year 2009–2010, excluding those who died, those with prior cancer diagnoses, underwent hysterectomy and/or salpingo-oophorectomy before the index date (January 1st, 2011), or missing/outliers BMI and WC values. Follow-up extended to December 31st, 2021, evaluating the incidences of endometrial, ovarian, and cervical cancer. The hazard ratios (HRs) and 95% confidence intervals (CIs) for each gynecological malignancy according to BMI and WC were calculated using Cox proportional hazard regression. Results: Among the 365,581 participants, 898, 1,268, and 873 cases of endometrial, ovarian, and cervical cancer occurred, respectively. HRs (95% CIs) for endometrial cancer were 1.37 (1.15–1.63), 1.63 (1.38–1.94), and 3.64 (2.81–4.70) for BMIs of 23.0–24.9, 25.0–29.9, and ≥ 30 kg/m2 compared to BMI of 18.5–22.9 kg/m2 (P for trend < 0.001). HRs (95% CIs) for ovarian cancer were 1.16 (1.00–1.33), 1.19 (1.03–1.37), and 1.49 (1.12–1.98) for BMIs of 23.0–24.9, 25.0–29.9, and ≥ 30 kg/m2 compared to BMI of 18.5–22.9 kg/m2 (P for trend = 0.002). No significant association was found between BMI and the risk for cervical cancer (P for trend = 0.266). HRs (95% CIs) for endometrial cancer were 1.35 (1.09–1.66), 1.41 (1.14–1.74), and 1.90 (1.55–2.34) for the 2nd, 3rd, and 4th quartiles of WCs compared to the 1st quartile (P for trend <0.001). Ovarian cancer tended to increase and cervical cancer tended to decrease as WC increased (P for trend = 0.035 for ovarian cancer, P for trend = 0.034 for cervical cancer). Conclusion In Korean women, the risks of endometrial and ovarian cancers increased significantly from the pre-obese level as BMI and WC increased, while cervical cancer risk tended to increase as WC decreased. Management of obesity should be reinforced for the prevention of obesity-related gynecological cancers, considering the increasing incidence of these cancers among Korean women.

Selecting the optimal surgical treatment for multilevel cervical spondylotic myelopathy and radiculopathy significantly affects symptom improvement, postoperative prognosis, and quality of life. Proper patient selection and precise surgical execution are crucial for achieving successful outcomes, considering the favorable natural course of cervical radiculopathy. Several factors must be considered, including the number of affected segments, spinal alignment, kyphosis degree, stiffness, and surgeon expertise, when determining the surgical approach for cervical spondylotic myelopathy. An anterior approach is commonly used in cases that involve fewer than three segments with mild kyphosis, whereas posterior laminoplasty or anterior cervical discectomy and fusion (ACDF) are effective for cases with more than three segments with maintained lordosis. Both the degree of stiffness and spinal cord compression need to be considered for cases with kyphotic deformity. ACDF may be suitable when anterior structures are the primary source of compression and mild kyphosis is present. The decision between laminoplasty or laminectomy and fusion depends on the kyphosis degree for multilevel compression with kyphosis. An evaluation of cervical rigidity is required for severe kyphosis, and posterior laminectomy and fusion may be effective for flexible kyphosis, whereas a staged posterior–anterior–posterior approach may be required for rigid kyphosis to address both deformity and neural compression. This review summarizes recent research and presents illustrative cases of optimal surgical decision-making for various cervical spondylotic radiculopathy and myelopathy presentations.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.