Background: and Purpose: The Cognitive Impairment Screening Test (CIST) was developed for use at the Community Dementia Reassurance Center in South Korea. This study evaluated convergent and discriminant validity of CIST, as well as its clinical utility in identifying cognitive impairment and differentiating amyloid deposition. Methods: We enrolled 252 participants from a hospital memory clinic (47 cognitively unimpaired [CU], 116 amnestic mild cognitive impairment, and 89 dementia). Participants completed CIST, K-MMSE-2, the Seoul Neuropsychological Screening Battery, 2nd edition (SNSB-II), and underwent amyloid positron emission tomography. To evaluate the convergent and discriminant validity of CIST, we conducted correlation analyses with SNSBII. Receiver operating characteristic analyses were used to evaluate the ability to discriminate cognitive impairment and to distinguish amyloid positivity. Areas under the curve (AUCs) for CIST and K-MMSE-2 were compared using DeLong’s test. Results: The total score of CIST correlated significantly with all SNSB-II subtests, and the domain scores of CIST showed stronger associations with corresponding SNSB-II subtests than with unrelated ones. Both CIST and K-MMSE-2 effectively distinguished cognitively impaired individuals from CU, with CIST demonstrating superior discrimination (AUC=0.926 vs.0.887, p=0.042). In the non-demented group, both CIST and K-MMSE-2 showed acceptable discrimination for amyloid positivity (AUC≈0.73), with high specificity but low sensitivity;however, there were no significant differences between the two tests. Conclusions The CIST demonstrated strong validity and discriminatory ability for detecting cognitive impairment. It also showed acceptable discrimination for amyloid positivity in non-demented participants, supporting its utility as a screening tool in both clinical and community settings.

Background: and Purpose: Amyloid-beta (Aβ) plaques are key in Alzheimer’s disease (AD), with Aβ positron emission tomography imaging enabling non-invasive quantification.To address regional Aβ deposition, we developed regional Centiloid scales (rdcCL) and commercialized them through the computed tomography (CT)-based BeauBrain Amylo platform, eliminating the need for three-dimensional T1 magnetic resonance imaging (MRI). Objective: We aimed to establish robust regional Aβ cutoffs using the commercialized BeauBrain Amylo platform and to explore the prevalence of subgroups defined by global, regional, and striatal Aβ cutoffs across cognitive stages. Methods: We included 2,428 individuals recruited from the Korea-Registries to Overcome Dementia and Accelerate Dementia Research project. We calculated regional Aβ cutoffs using Gaussian Mixture Modeling. Participants were classified into subgroups based on global, regional, and striatal Aβ positivity across cognitive stages (cognitively unimpaired [CU], mild cognitive impairment, and dementia of the Alzheimer’s type). Results: MRI-based and CT-based global Aβ cutoffs were highly comparable and consistent with previously reported Centiloid values. Regional cutoffs revealed both similarities and differences between MRI- and CT-based methods, reflecting modality-specific segmentation processes. Subgroups such as global(−)regional(+) were more frequent in non-dementia stages, while global(+)striatal(−) was primarily observed in CU individuals. Conclusions Our study established robust regional Aβ cutoffs using a CT-based rdcCL method and demonstrated its clinical utility in classifying amyloid subgroups across cognitive stages. These findings highlight the importance of regional Aβ quantification in understanding amyloid pathology and its implications for biomarker-guided diagnosis and treatment in AD.

Background: and Purpose: Amyloid-beta (Aβ) plaques are key in Alzheimer’s disease (AD), with Aβ positron emission tomography imaging enabling non-invasive quantification.To address regional Aβ deposition, we developed regional Centiloid scales (rdcCL) and commercialized them through the computed tomography (CT)-based BeauBrain Amylo platform, eliminating the need for three-dimensional T1 magnetic resonance imaging (MRI). Objective: We aimed to establish robust regional Aβ cutoffs using the commercialized BeauBrain Amylo platform and to explore the prevalence of subgroups defined by global, regional, and striatal Aβ cutoffs across cognitive stages. Methods: We included 2,428 individuals recruited from the Korea-Registries to Overcome Dementia and Accelerate Dementia Research project. We calculated regional Aβ cutoffs using Gaussian Mixture Modeling. Participants were classified into subgroups based on global, regional, and striatal Aβ positivity across cognitive stages (cognitively unimpaired [CU], mild cognitive impairment, and dementia of the Alzheimer’s type). Results: MRI-based and CT-based global Aβ cutoffs were highly comparable and consistent with previously reported Centiloid values. Regional cutoffs revealed both similarities and differences between MRI- and CT-based methods, reflecting modality-specific segmentation processes. Subgroups such as global(−)regional(+) were more frequent in non-dementia stages, while global(+)striatal(−) was primarily observed in CU individuals. Conclusions Our study established robust regional Aβ cutoffs using a CT-based rdcCL method and demonstrated its clinical utility in classifying amyloid subgroups across cognitive stages. These findings highlight the importance of regional Aβ quantification in understanding amyloid pathology and its implications for biomarker-guided diagnosis and treatment in AD.

Purpose: To analyze prognostic factors for morphological and functional recovery after vitrectomy in patients with idiopathic epiretinal membrane (ERM). Methods: We conducted a retrospective analysis of patients with ERM who underwent vitrectomy. Postoperative outcomes were evaluated in terms of functional and morphological changes, assessing best-corrected visual acuity (BCVA) and central macular thickness (CMT) after 6 months. Logistic regression was used to identify factors influencing postoperative outcomes. Results: This study included 77 patients (35.1% men). Thirty-eight patients underwent combined vitrectomy and cataract surgery. Logistic regression revealed that better preoperative BCVA was associated with improved postoperative BCVA (p = 0.002). Among the 38 eyes that underwent combined surgery, longer preoperative axial length was linked to better visual outcomes in univariate analysis (p = 0.043), although the association was not statistically significant in multivariate analysis (p = 0.064). Younger age and thinner preoperative CMT were associated with better morphological outcomes (p = 0.034 and p = 0.001, respectively). Conclusions Preoperative BCVA, age, preoperative CMT, and axial length are predictive factors for functional and morphological outcomes after vitrectomy in patients with ERM. These findings may facilitate treatment planning and prognosis prediction before surgery.

Background: and Purpose: Amyloid-beta (Aβ) plaques are key in Alzheimer’s disease (AD), with Aβ positron emission tomography imaging enabling non-invasive quantification.To address regional Aβ deposition, we developed regional Centiloid scales (rdcCL) and commercialized them through the computed tomography (CT)-based BeauBrain Amylo platform, eliminating the need for three-dimensional T1 magnetic resonance imaging (MRI). Objective: We aimed to establish robust regional Aβ cutoffs using the commercialized BeauBrain Amylo platform and to explore the prevalence of subgroups defined by global, regional, and striatal Aβ cutoffs across cognitive stages. Methods: We included 2,428 individuals recruited from the Korea-Registries to Overcome Dementia and Accelerate Dementia Research project. We calculated regional Aβ cutoffs using Gaussian Mixture Modeling. Participants were classified into subgroups based on global, regional, and striatal Aβ positivity across cognitive stages (cognitively unimpaired [CU], mild cognitive impairment, and dementia of the Alzheimer’s type). Results: MRI-based and CT-based global Aβ cutoffs were highly comparable and consistent with previously reported Centiloid values. Regional cutoffs revealed both similarities and differences between MRI- and CT-based methods, reflecting modality-specific segmentation processes. Subgroups such as global(−)regional(+) were more frequent in non-dementia stages, while global(+)striatal(−) was primarily observed in CU individuals. Conclusions Our study established robust regional Aβ cutoffs using a CT-based rdcCL method and demonstrated its clinical utility in classifying amyloid subgroups across cognitive stages. These findings highlight the importance of regional Aβ quantification in understanding amyloid pathology and its implications for biomarker-guided diagnosis and treatment in AD.

Background: and Purpose: Amyloid-beta (Aβ) plaques are key in Alzheimer’s disease (AD), with Aβ positron emission tomography imaging enabling non-invasive quantification.To address regional Aβ deposition, we developed regional Centiloid scales (rdcCL) and commercialized them through the computed tomography (CT)-based BeauBrain Amylo platform, eliminating the need for three-dimensional T1 magnetic resonance imaging (MRI). Objective: We aimed to establish robust regional Aβ cutoffs using the commercialized BeauBrain Amylo platform and to explore the prevalence of subgroups defined by global, regional, and striatal Aβ cutoffs across cognitive stages. Methods: We included 2,428 individuals recruited from the Korea-Registries to Overcome Dementia and Accelerate Dementia Research project. We calculated regional Aβ cutoffs using Gaussian Mixture Modeling. Participants were classified into subgroups based on global, regional, and striatal Aβ positivity across cognitive stages (cognitively unimpaired [CU], mild cognitive impairment, and dementia of the Alzheimer’s type). Results: MRI-based and CT-based global Aβ cutoffs were highly comparable and consistent with previously reported Centiloid values. Regional cutoffs revealed both similarities and differences between MRI- and CT-based methods, reflecting modality-specific segmentation processes. Subgroups such as global(−)regional(+) were more frequent in non-dementia stages, while global(+)striatal(−) was primarily observed in CU individuals. Conclusions Our study established robust regional Aβ cutoffs using a CT-based rdcCL method and demonstrated its clinical utility in classifying amyloid subgroups across cognitive stages. These findings highlight the importance of regional Aβ quantification in understanding amyloid pathology and its implications for biomarker-guided diagnosis and treatment in AD.

Purpose: To analyze prognostic factors for morphological and functional recovery after vitrectomy in patients with idiopathic epiretinal membrane (ERM). Methods: We conducted a retrospective analysis of patients with ERM who underwent vitrectomy. Postoperative outcomes were evaluated in terms of functional and morphological changes, assessing best-corrected visual acuity (BCVA) and central macular thickness (CMT) after 6 months. Logistic regression was used to identify factors influencing postoperative outcomes. Results: This study included 77 patients (35.1% men). Thirty-eight patients underwent combined vitrectomy and cataract surgery. Logistic regression revealed that better preoperative BCVA was associated with improved postoperative BCVA (p = 0.002). Among the 38 eyes that underwent combined surgery, longer preoperative axial length was linked to better visual outcomes in univariate analysis (p = 0.043), although the association was not statistically significant in multivariate analysis (p = 0.064). Younger age and thinner preoperative CMT were associated with better morphological outcomes (p = 0.034 and p = 0.001, respectively). Conclusions Preoperative BCVA, age, preoperative CMT, and axial length are predictive factors for functional and morphological outcomes after vitrectomy in patients with ERM. These findings may facilitate treatment planning and prognosis prediction before surgery.

Purpose: To analyze prognostic factors for morphological and functional recovery after vitrectomy in patients with idiopathic epiretinal membrane (ERM). Methods: We conducted a retrospective analysis of patients with ERM who underwent vitrectomy. Postoperative outcomes were evaluated in terms of functional and morphological changes, assessing best-corrected visual acuity (BCVA) and central macular thickness (CMT) after 6 months. Logistic regression was used to identify factors influencing postoperative outcomes. Results: This study included 77 patients (35.1% men). Thirty-eight patients underwent combined vitrectomy and cataract surgery. Logistic regression revealed that better preoperative BCVA was associated with improved postoperative BCVA (p = 0.002). Among the 38 eyes that underwent combined surgery, longer preoperative axial length was linked to better visual outcomes in univariate analysis (p = 0.043), although the association was not statistically significant in multivariate analysis (p = 0.064). Younger age and thinner preoperative CMT were associated with better morphological outcomes (p = 0.034 and p = 0.001, respectively). Conclusions Preoperative BCVA, age, preoperative CMT, and axial length are predictive factors for functional and morphological outcomes after vitrectomy in patients with ERM. These findings may facilitate treatment planning and prognosis prediction before surgery.

Psychiatric disorders exhibit complex genetic characteristics such as substantial polygenicity, pleiotropy, and genetic overlap, making them difficult to fully understand through studies focused solely on single genes or individual diseases. This review underscores the importance of multivariate and multi-trait analyses in psychiatric genetics and provides a comprehensive overview of major analytical tools, including their concepts, strengths, limitations, and applications. By addressing the current methodological challenges and proposing future directions, we aim to advance our understanding of the genetic architecture underlying psychiatric disorders and support progress towards precision medicine.

Background: We aimed at evaluating the diagnostic performance of rapid antigen test (RAT) compared to polymerase chain reaction (PCR) for severe acute respiratory syndrome coronavirus 2 and the possible transmission of infection to close contacts from patients with negative RAT and positive PCR results. Materials and Methods: Patients/guardians urgently requiring admission to the ward on the same day had been hospitalized with RAT-negative result before the PCR results were available. We performed an epidemiologic investigation of the close contacts of those with negative RAT but positive PCR results after hospitalization. Results: A total of 4,237 RATs were performed from March to August 2022. When the PCR test was used as the reference, RAT had a sensitivity of 28.8% (17/59; 95% confidence interval [CI], 17.8 - 42.1), a specificity of 100% (4,220/4,220; 95% CI, 99.9 – 100.0), a positive predictive value of 100.0% (17/17; 95% CI, 100.0 - 100.0), and a negative predictive value of 99.0% (4,178/4,220; 95% CI, 99.3 - 99.8). The epidemiologic investigation revealed that among the 32 patients with negative RAT and subsequent positive PCR results after admission into multi-patient room, two (6.3%) showed secondary coronavirus disease 2019. Conclusion The secondary transmission rate from patients with negative RAT and positive PCR results was low. Our data suggest that RAT may be useful for rapid exclusion of high transmissible cases. However, further evaluation using whole genome sequencing is needed to determine the potential for transmissibility in cases showing a negative RAT but a positive PCR result