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.

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 report a case of paraneoplastic autoimmune retinopathy in a patient with a history of testicular cancer.Case summary: A 29-year-old man presented with photopsia and floaters. Initial fundus examination revealed no abnormal findings. However, he returned 1 month later with complaints of visual field defects. Fundus examination revealed diffuse white spots in the macula and midperipheral retina and fundus autofluorescence demonstrated hyper-autofluorescence. Optical coherence tomography showed disruption of the ellipsoid zone sparing the fovea. Visual field examination revealed peripheral visual field defects and an electroretinogram showed reduced rod and cone cell responses. Considering his history of testicular cancer, serum paraneoplastic autoantibody panel testing was performed which revealed borderline levels of anti-recoverin antibody leading to a diagnosis of paraneoplastic autoimmune retinopathy. The patient was treated with oral steroids and mycophenolate mofetil for 1 year. However, there was no improvement in the subjective symptoms or ophthalmologic findings. Conclusions This case of paraneoplastic autoimmune retinopathy in a young man with a history of testicular cancer highlights an early clinical presentation of the disease. It is crucial to recognize that the initial clinical presentation of autoimmune retinopathy can be nonspecific.

Purpose: To report a case of paraneoplastic autoimmune retinopathy in a patient with a history of testicular cancer.Case summary: A 29-year-old man presented with photopsia and floaters. Initial fundus examination revealed no abnormal findings. However, he returned 1 month later with complaints of visual field defects. Fundus examination revealed diffuse white spots in the macula and midperipheral retina and fundus autofluorescence demonstrated hyper-autofluorescence. Optical coherence tomography showed disruption of the ellipsoid zone sparing the fovea. Visual field examination revealed peripheral visual field defects and an electroretinogram showed reduced rod and cone cell responses. Considering his history of testicular cancer, serum paraneoplastic autoantibody panel testing was performed which revealed borderline levels of anti-recoverin antibody leading to a diagnosis of paraneoplastic autoimmune retinopathy. The patient was treated with oral steroids and mycophenolate mofetil for 1 year. However, there was no improvement in the subjective symptoms or ophthalmologic findings. Conclusions This case of paraneoplastic autoimmune retinopathy in a young man with a history of testicular cancer highlights an early clinical presentation of the disease. It is crucial to recognize that the initial clinical presentation of autoimmune retinopathy can be nonspecific.

Purpose: To report a case of paraneoplastic autoimmune retinopathy in a patient with a history of testicular cancer.Case summary: A 29-year-old man presented with photopsia and floaters. Initial fundus examination revealed no abnormal findings. However, he returned 1 month later with complaints of visual field defects. Fundus examination revealed diffuse white spots in the macula and midperipheral retina and fundus autofluorescence demonstrated hyper-autofluorescence. Optical coherence tomography showed disruption of the ellipsoid zone sparing the fovea. Visual field examination revealed peripheral visual field defects and an electroretinogram showed reduced rod and cone cell responses. Considering his history of testicular cancer, serum paraneoplastic autoantibody panel testing was performed which revealed borderline levels of anti-recoverin antibody leading to a diagnosis of paraneoplastic autoimmune retinopathy. The patient was treated with oral steroids and mycophenolate mofetil for 1 year. However, there was no improvement in the subjective symptoms or ophthalmologic findings. Conclusions This case of paraneoplastic autoimmune retinopathy in a young man with a history of testicular cancer highlights an early clinical presentation of the disease. It is crucial to recognize that the initial clinical presentation of autoimmune retinopathy can be nonspecific.

Purpose: This study aimed to identify research topics and trends on living liver donors over time through text network analysis and topic modeling. Methods: Five electronic databases (PubMed, CINAHL, Embase, Web of Science, and PsycINFO) were reviewed for studies published through September 2023, and 392 studies were included. Text network analysis was used to identify the basic characteristics and centrality of the network. The topics were named after extracting meaningful topics through topic modeling using latent Dirichlet allocation. Results: A total of 1,111 keywords were extracted from the abstracts of 392 selected studies, among which “length of stay,” “morbidity,” “mortality,” “pain,” and “quality of life” showed high frequency and centrality. Through topic modeling analysis, the following four topics were derived: objective health indicators (topic 1), subjective health indicators (topic 2), hepatobiliary-related indicators (topic 3), and early health indicators (topic 4). An analysis of trends in these topics over time showed that the proportion of topics 1, 3, and 4 increased or remained stable. In contrast, there was no significant change in topic 2, representing subjective health indicators. Conclusion This study explored research trends on living liver donors using text network analysis and topic modeling. Based on the main topics derived, research on postoperative outcomes for living liver donors has focused on objective health indicators, hepatobiliary-related indicators, and early health indicators compared to subjective health indicators. We suggest that future studies utilize integrated indicators of physical and psychosocial aspects.