Background: Post-transplant diabetes mellitus (PTDM) is a risk factor for poor outcomes after kidney transplantation (KT). However, the outcomes of KT have improved recently. Therefore, we investigated whether PTDM is still a risk factor for mortality, major atherosclerotic cardiovascular events (MACEs), and graft failure in KT recipients. Methods: We studied a retrospective cohort of KT recipients (between 1994 and 2017) at a single tertiary center, and compared the rates of death, MACEs, overall graft failure, and death-censored graft failure after KT between patients with and without PTDM using Kaplan-Meier analysis and a Cox proportional hazard model. Results: Of 571 KT recipients, 153 (26.8%) were diagnosed with PTDM. The mean follow-up duration was 9.6 years. In the Kaplan- Meier analysis, the PTDM group did not have a significantly increased risk of death or four-point MACE compared with the non-diabetes mellitus group (log-rank test, P=0.957 and P=0.079, respectively). Multivariate Cox proportional hazard models showed that PTDM did not have a negative impact on death or four-point MACE (P=0.137 and P=0.181, respectively). In addition, PTDM was not significantly associated with overall or death-censored graft failure. However, patients with a long duration of PTDM had a higher incidence of four-point MACE. Conclusion Patient survival and MACEs were comparable between groups with and without PTDM. However, PTDM patients with long duration diabetes were at higher risk of cardiovascular disease.

Objective: To investigate the relationship between low back pain (LBP) and sagittal spino-pelvic parameters along with the relationship between LBP and back muscle mass in Korean male and female fishery workers. Methods: This retrospective study included a total of 146 subjects who underwent Fishermen’s health survey conducted between June 2018 and August 2020. LBP was evaluated through visual analogue scale (VAS) and Oswestry Disability Index (ODI). Sagittal spino-pelvic parameters were measured from whole spine standing X-rays. Back muscle cross-sectional areas were identified through lumbar spine magnetic resonance imaging and body composition was analyzed through bioelectrical impedance analysis. Results: The study included 75 males and 71 females, with an average age of 58.33 years for males and 56.45 years for females. Female subjects exhibited higher VAS and ODI scores, larger pelvic tilt (PT) and trunk fat mass and smaller trunk muscle mass compared to males. In female, ODI positively correlated with sagittal vertical axis (SVA) and PT. No significant correlations were found between ODI scores and body composition in either sex. The high ODI group showed greater SVA, PT, and pelvic incidence-lumbar lordosis and higher trunk fat/muscle ratio. Psoas muscle mass, total and skeletal muscle mass and trunk muscle mass of that group were smaller than those of low ODI group. Conclusion Spino-pelvic parameters and back muscle mass were associated with ODI and there were differences between Korean male and female fishery workers.

Purpose: Artificial intelligence (AI)-based computer-aided detection/diagnosis (CADe/x) has helped improve radiologists’ performance and provides results equivalent or superior to those of radiologists’ alone. This prospective multicenter cohort study aims to generate real-world evidence on the overall benefits and disadvantages of using AI-based CADe/x for breast cancer detection in a population-based breast cancer screening program comprising Korean women aged ≥ 40 years. The purpose of this report is to compare the diagnostic accuracy of radiologists with and without the use of AI-based CADe/x in mammography readings for breast cancer screening of Korean women with average breast cancer risk. Methods Approximately 32,714 participants will be enrolled between February 2021 and December 2022 at 5 study sites in Korea. A radiologist specializing in breast imaging will interpret the mammography readings with or without the use of AI-based CADe/x. If recall is required, further diagnostic workup will be conducted to confirm the cancer detected on screening. The findings will be recorded for all participants regardless of their screening status to identify study participants with breast cancer diagnosis within both 1 year and 2 years of screening. The national cancer registry database will be reviewed in 2026 and 2027, and the results of this study are expected to be published in 2027. In addition, the diagnostic accuracy of general radiologists and radiologists specializing in breast imaging from another hospital with or without the use of AI-based CADe/x will be compared considering mammography readings for breast cancer screening.DiscussionThe Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM) study is a prospective multicenter study that aims to compare the diagnostic accuracy of radiologists with and without the use of AI-based CADe/x in mammography readings for breast cancer screening of women with average breast cancer risk. AI-STREAM is currently in the patient enrollment phase.Trial RegistrationClinicalTrials.gov Identifier: NCT05024591

Objective: To identify the normal range, distribution, and age-dependent differences in the cephalic index (CI) of Korean children with normal brain development and develop a classification of the current CI for Korean children up to 7 years of age. Methods: We retrospectively analyzed 1,389 children who visited our hospital in the emergency room between October 2015 and September 2020 because of suspected head injuries. Finally, 1,248 children (741 male and 507 female) were enrolled after excluding abnormal medical or familial history and divided into 10 groups by age. The CI was measured using brain computed tomography and calculated according to the following equation: cephalic width/cephalic length×100. Results: The averages of CI by age groups were as follows: 89.29 (0–3 months group, n=44); 91.41 (4–6 months group, n=63); 89.68 (7–9 months group, n=62); 87.52 (10–12 months group, n=41); 87.64 (≥2 years group, n=243); 86.63 (≥3 years group, n=178); 85.62 (≥4 years group, n=232); 85.77 (≥5 years group, n=201); 85.15 (≥6 years group, n=75); and 85.34 (≥7 years group, n=109). The CI of Korean children in normal brain development was confirmed to be large, showing a notable difference compared to that of Caucasians. Conclusion The current CI of Korean children will provide a valuable reference for diagnosing and treating cranial deformities, especially dolichocephaly and brachycephaly as well as to monitor the morphology of the cranium in clinics.

Objective: To identify the normal range, distribution, and age-dependent differences in the cephalic index (CI) of Korean children with normal brain development and develop a classification of the current CI for Korean children up to 7 years of age. Methods: We retrospectively analyzed 1,389 children who visited our hospital in the emergency room between October 2015 and September 2020 because of suspected head injuries. Finally, 1,248 children (741 male and 507 female) were enrolled after excluding abnormal medical or familial history and divided into 10 groups by age. The CI was measured using brain computed tomography and calculated according to the following equation: cephalic width/cephalic length×100. Results: The averages of CI by age groups were as follows: 89.29 (0–3 months group, n=44); 91.41 (4–6 months group, n=63); 89.68 (7–9 months group, n=62); 87.52 (10–12 months group, n=41); 87.64 (≥2 years group, n=243); 86.63 (≥3 years group, n=178); 85.62 (≥4 years group, n=232); 85.77 (≥5 years group, n=201); 85.15 (≥6 years group, n=75); and 85.34 (≥7 years group, n=109). The CI of Korean children in normal brain development was confirmed to be large, showing a notable difference compared to that of Caucasians. Conclusion The current CI of Korean children will provide a valuable reference for diagnosing and treating cranial deformities, especially dolichocephaly and brachycephaly as well as to monitor the morphology of the cranium in clinics.

Marchiafava-Bignami disease (MBD), Wernicke encephalopathy (WE) and alcoholic polyneuropathy (AP) are distinct diseases and all have strong relationship with chronic alcoholism. A 70-year-old male who had altered mentality and ataxia of both lower limbs and had past history of WE 3 years previously admitted with 6 months history of impaired walking. He also had a symptom of altered sensorium by impaired consciousness for 2 days. In brain magnetic resonance imaging, the body, splenium of corpus callosum and bilateral frontal cortex were involved. The patient was diagnosed with MBD on the basis of the clinical features and the brain imaging findings. The electrodiagnostic findings implied demyelinating neuropathy in all extremities. He failed to recover his mentality and the function of the limbs remained poor finishing several treatment options including medications and physical therapy. The poor prognosis of this patient is thought to be associated with cortical involvement of MBD. We reported this very rare case who was affected by 3 distinct diseases of MBD, AP, and WE as complications of chronic alcohol abuse. Moreover, the case was relevant to a rare clinical presentation of MBD with cortical involvement which was associated with poor prognosis.

Objective: To examine the correlation between ultrasonographic trunk muscle parameters and balance scales in mild acute stroke patients. Methods: A total of 55 stroke patients with hemiparesis and motor power grade ≥4 in the manual motor test were included. The Scale for the Assessment and Rating of Ataxia (SARA), Berg Balance Scale (BBS), Timed Up and Go Test (TUG), and Trunk Control Test (TCT) were used to evaluate patient balance function. Ultrasonographic parameters were measured on both non-paretic and paretic sides of the rectus abdominis, external oblique, internal oblique, transversus abdominis, and erector spinae muscles. Resting thickness and contraction thickness were measured in all muscles, and contractility and contractility ratio were calculated based on measured thicknesses. The differences between paretic and non-paretic muscle parameters, and the correlation between ultrasonographic parameters and balance scales were analyzed. Stroke patients were divided into two groups according to their fall risk. Ultrasonographic measurements between the two groups were compared. Results: All muscles’ contraction thickness and contractility were significantly different between paretic and non-paretic sides (p<0.001). Contractility ratios of all trunk muscles showed a significant correlation with SARA, BBS, TUG, and TCT (p<0.05). Contractility ratios of all muscles were significantly different between high- and low-risk fall groups (p<0.05). Conclusion The contractility ratio in stroke patients reflects their balance disturbance and fall risk and it may serve as a new parameter for ultrasound imaging of trunk muscles.

OBJECTIVE: To demonstrate the utility of Scale for the Assessment and Rating of Ataxia (SARA) for evaluation of posterior circulation-related features in patients with mild stroke. METHODS: Forty-five subjects, diagnosed with acute infarction in the cerebellum, basis pontis, thalamus, corona radiata, posterior limb of internal capsule, and their National Institutes of Health Stroke Scale (NIHSS) scores ≤5 were enrolled. SARA scores were graded by the cut-off value of severity in dependency of activities of daily living (ADL). SARA, Berg Balance Scale (BBS), Timed Up-and-Go (TUG), and Trunk Control Test (TCT) were correlated in regression analysis with the modified Rankin Scale (mRS) at discharge. Correlation between SARA and other tools was analyzed. Patients were divided based on mRS at admission (group A, mRS 0–2; group B, mRS 3–5). Scores between the two groups were compared. RESULTS: Among the subjects, 48.9% (22/45) scored above 5.5 on SARA, and even 11.1% (5/45) scored higher than 14.25, which is the cut-off value of ‘severe dependency’ in ADL. SARA showed significant value for prediction of mRS at discharge. SARA was correlated with BBS (r=-0.946, p < 0.001), TUG (r=-0.584, p < 0.001), and TCT (r=-0.799, p < 0.001). The SARA, BBS, TUG, and TCT scores between were lower in group B than in group A patients. SARA as well as BBS, TUG, and TCT reflect the functional severity of all patients. CONCLUSION: SARA is a complementary tool for evaluation of the severity of ataxia in mild stroke patients with features of posterior circulation.
Activities of Daily Living ; Ataxia* ; Cerebellum ; Extremities ; Humans ; Infarction ; Internal Capsule ; National Institutes of Health (U.S.) ; Stroke* ; Thalamus