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301 result(s) for "Kawasaki, Ryo"
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How Can Artificial Intelligence Be Implemented Effectively in Diabetic Retinopathy Screening in Japan?
Diabetic retinopathy (DR) is a major microvascular complication of diabetes, affecting a substantial portion of diabetic patients worldwide. Timely intervention is pivotal in mitigating the risk of blindness associated with DR, yet early detection remains a challenge due to the absence of early symptoms. Screening programs have emerged as a strategy to address this burden, and this paper delves into the role of artificial intelligence (AI) in advancing DR screening in Japan. There are two pathways for DR screening in Japan: a health screening pathway and a clinical referral path from physicians to ophthalmologists. AI technologies that realize automated image classification by applying deep learning are emerging. These technologies have exhibited substantial promise, achieving sensitivity and specificity levels exceeding 90% in prospective studies. Moreover, we introduce the potential of Generative AI and large language models (LLMs) to transform healthcare delivery, particularly in patient engagement, medical records, and decision support. Considering the use of AI in DR screening in Japan, we propose to follow a seven-step framework for systematic screening and emphasize the importance of integrating AI into a well-designed screening program. Automated scoring systems with AI enhance screening quality, but their effectiveness depends on their integration into the broader screening ecosystem. LLMs emerge as an important tool to fill gaps in the screening process, from personalized invitations to reporting results, facilitating a seamless and efficient system. However, it is essential to address concerns surrounding technical accuracy and governance before full-scale integration into the healthcare system. In conclusion, this review highlights the challenges in the current screening pathway and the potential for AI, particularly LLM, to revolutionize DR screening in Japan. The future direction will depend on leadership from ophthalmologists and stakeholders to address long-standing challenges in DR screening so that all people have access to accessible and effective screening.
A nationwide survey of newly certified visually impaired individuals in Japan for the fiscal year 2019: impact of the revision of criteria for visual impairment certification
Purpose To determine the status of visual impairment certification in Japan in the fiscal year 2019 and the impact of revising the criteria for visual impairment certification implemented in 2018. Study Design Observational cross-sectional study. Methods We requested welfare offices throughout Japan to submit data of age, sex, causative diseases, and visual impairment grades for newly certified visually impaired individuals aged ≥ 18 years during the fiscal year 2019. The certification was based on criteria of the Act on Welfare of Physically Disabled Persons. Results Altogether, data were collected for 16,504 newly certified visually impaired individuals. The most common age group was 80–89 years (29.6%), followed by 70–79 (28.2%) and 60–69 (15.3%) years. The most common causative disease was glaucoma (40.7%), followed by retinitis pigmentosa (13.0%), diabetic retinopathy (10.2%), and macular degeneration (9.1%). The most common impairment grade was grade 2 (40.8%), followed by 5 (21.2%) and 1 (17.0%). Compared to the fiscal year 2015, there was a considerable increase in the number of individuals certified with glaucoma in the fiscal year 2019. Moreover, there was a significant increase in the number of individuals with certified grades 1 and 2 visual impairment, with a decrease in the number of individuals with certified grade 6 visual impairment. Conclusion The changes revealed in this study were primarily due to the revised certification criteria implemented in July 2018, indicating that it is important to review the certification criteria and to repeat surveys similar to the present study.
Association between serum uric acid levels and mortality: a nationwide community-based cohort study
Hyperuricemia is associated with all-cause and cardiovascular mortality. However, the threshold value of serum uric acid levels for increased risk of mortality has not been determined. This large-scale cohort study used a nationwide database of 500,511 Japanese subjects (40–74 years) who participated in the annual health checkup and were followed up for 7 years. The association of serum uric acid levels at baseline with cardiovascular and all-cause mortality was examined. The Cox proportional hazard model analysis with adjustment for possible confounders revealed that the all-cause and cardiovascular mortality showed a J-shaped association with serum uric acid levels at baseline in both men and women. A significant increase in the hazard ratio for all-cause mortality was noted with serum uric acid levels ≥ 7 mg/dL in men and ≥ 5 mg/dL in women. A similar trend was observed for cardiovascular mortality. This study disclosed that even a slight increase in serum uric acid levels was an independent risk factor for all-cause and cardiovascular mortality in both men and women in a community-based population. Moreover, the threshold values of uric acid for mortality might be different for men and women.
Perceived familial financial insecurity and obesity among Korean adolescents during the COVID-19 pandemic
Background: In high-income countries, socioeconomically disadvantaged adolescents experience a higher risk of obesity, which may have been further exacerbated during the early phase of the COVID-19 pandemic. This study aimed to investigate the association between obesity and familial financial insecurity, utilizing data on subjective household socioeconomic status (SES) and perceived family-level financial deterioration induced by COVID-19.Methods: We utilized data from the Korea Youth Risk Behavior Survey, a nationally representative sample of Korean adolescents, in 2020 and 2021. The independent and joint associations of two primary exposures, subjective household SES and perceived family-level financial deterioration, with obesity were assessed using multivariable logistic regression models.Results: Among 106,979 adolescents aged 12–18 years, 16.9% of boys and 9.0% of girls met the criteria for obesity. Notably, 70.5% reported experiencing COVID-19-related financial deterioration. Both subjective household SES and perceived family-level financial deterioration independently and synergistically increased the odds of obesity. A graded association was observed between obesity and lower SES and more severe financial deterioration, particularly among girls. Younger adolescents were more sensitive to household SES, whereas older adolescents were more sensitive to financial deterioration.Conclusions: While the COVID-19 pandemic presented a unique social context, our findings highlight that financially insecure adolescents were at an increased risk of obesity during the early phase of the pandemic. This underscores the need for obesity-prevention strategies in times of macroeconomic recession to address not only the persistent influence of household SES but also the direct and indirect effects of family-level financial deterioration.
Systematic review of clinical research on regenerative medicine for the cornea
Purpose To conduct a systematic review of clinical research on the use of regenerative medicine for the cornea in human patients. Methods A systematic literature search of MEDLINE and the Cochrane Library was performed in May 2020. Results Forty-two articles were identified. Thirty-eight of those articles focused on the treatment for limbal stem cell deficiency (LSCD), of which 17 articles involved autologous cultured limbal epithelial cell sheet transplantation (CLET), 13 involved allogeneic CLET, and 14 involved autologous cultured oral mucosal epithelial cell sheet transplantation (COMET). For autologous CLET, the median ocular surface reconstruction rate, visual recovery rate, incidence of immunologic rejection, infectious keratitis, and ocular hypertension/glaucoma were 74.1%, 54.5%, 0%, 4.6%, and 6.3%, respectively. For allogeneic CLET, they were 71.4%, 71.4%, 7.1%, 12.0%, and 7.1%, respectively. For autologous COMET, they were 66.7%, 66.7%, 0%, 5.3%, and 8.1%, respectively. Systemic immunosuppressants and steroid medications were predominantly used following allogeneic CLET, whereas they were not routinely used after autologous CLET. Three studies focused on the treatment of keratoconus using autologous adipose-derived adult stem cells and reported no marked adverse events. One study reported on the treatment of bullous keratopathy using allogeneic cultured corneal endothelial cells. All patients achieved an endothelial cell density of >500 cells, and the corrected distance visual acuity improved in 82% of the treated eyes. Conclusions The results show that regenerative medicine for the cornea demonstrated a satisfactory efficacy and safety. Through translational research, we are expecting to establish a new treatment for waiting patients.
Subfoveal choroidal thickness in typical age-related macular degeneration and polypoidal choroidal vasculopathy
Purpose To investigate the subfoveal choroidal thickness in eyes with typical age-related macular degeneration (AMD) and polypoidal choroidal vasculopathy (PCV), using enhanced depth imaging optical coherence tomography. Methods Retrospective observational case series of 44 eyes of 44 patients (12 females and 32 males) with typical AMD or PCV located in the subfoveal region. Cross-sectional images of the choroid of each of the involved eyes were obtained by a spectral-domain OCT. The choroidal thickness under the fovea was retrospectively studied. Results Of the 44 eyes involved in this study, 21 eyes were diagnosed as typical AMD and the other 23 eyes were diagnosed as PCV. The difference in subfoveal choroidal thickness between the eyes with typical AMD (245 μm) and those with PCV (293 μm) was statistically significant, even after adjusting for age, spherical equivalent, and gender distribution ( P  = 0.045). When compared to eyes with subfoveal choroidal thickness less than 300 μm, those with subfoveal choroidal thickness of 300 μm or more were 5.6 times more likely to have PCV (adjusted odds ratio 5.60, 95% confidence interval 1.30–24.0, P  = 0.021). Conclusions The choroid under the fovea was thicker in eyes with PCV than those with typical AMD. This result suggests that the choroidal vascular lesion seen in PCV may not be just the choroidal neovascularization accompanied by saccular capillary dilations at the border, but may have a significant structural difference in the choroid compared to typical AMD.
Incidence and causes of visual impairment in Japan: the first nation-wide complete enumeration survey of newly certified visually impaired individuals
Purpose To investigate the visual impairment certification status in Japan. Study design Observational cross-sectional study. Methods We asked all welfare offices throughout Japan to submit data concerning age, sex, causative diseases, and visual impairment grades for newly certified visually impaired individuals aged ≥ 18 years in the fiscal year of 2015. The certification was based on criteria of the Act on Welfare of Physically Disabled Persons. Results In total, data were collected for 12,505 newly certified visually impaired individuals. The most common age group for these individuals was 80-89 years (29.6%), followed by 70-79 (26.3%) and 60-69 (17.3%) years. The most common causative disease was glaucoma (28.6%), followed by retinitis pigmentosa (14.0%), diabetic retinopathy (12.8%), and macular degeneration (8.0%). Glaucoma was the most common causative disease in both sexes (30.2% in men and 27.0% in women). The most common impairment grade was grade 2 (31.8%), followed by grades 5 (24.3%) and grade 1 (16.1%). The number of visually impaired individuals with underlying glaucoma had increased in comparison with the number in the most recent surveys (from fiscal years 2007 to 2009), whereas the number of individuals with underlying diabetic retinopathy and macular degeneration had decreased. Conclusion To our knowledge, this is the first nation-wide complete enumeration survey of newly certified visually impaired individuals in Japan. These findings may contribute to administrative activities concerning medical welfare as well as educational activities for preventing visual impairment.
Prognostic factors for successful Baerveldt glaucoma implant surgery for refractory glaucoma after multiple surgeries
Purpose To determine the prognostic factors for success 3 years after Baerveldt glaucoma implant (BGI) surgery. Study design Single-center retrospective clinical study. Methods We analyzed 27 eyes (24 patients) treated with BGI surgery between 2012 and 2016 at Osaka University Hospital. Patients were followed for a minimum of 3 years postoperatively. We analyzed the success rates and risk factors. Failure was defined as the need for additional surgery for IOP reduction, loss of light perception, and intraocular pressure (IOP) ≧22 mmHg (definition 1) or ≧17 mmHg (definition 2) at two consecutive follow-up visits. Results The mean number of previous eye surgeries was 4.1 ± 3.3. The success rates were 81.5% and 77.8%, respectively, 1 year and 3 years after surgery based on definition 1 and 51.9% and 48.2%, respectively, based on definition 2. The early and late surgical complication rates, respectively, were 29.6% and 22.2%. An IOP 2 months after BGI surgery of ≧17 mmHg and the number of previous eye surgeries were significant risk factors for failure based on definition 2. Conclusion The long-term results and complication rates after BGI surgery for refractory glaucoma in our hospital were similar to previous reports, and the IOP 2 months after BGI surgery and the number of previous eye surgeries were associated with the prognosis.
Treatment patterns for retinal diseases in patients newly-treated with anti-VEGF agents: A retrospective analysis of claims data from the Japan Medical Data Center database
Purpose To describe treatment patterns in patients diagnosed with neovascular age-related macular degeneration (nAMD), retinal vein occlusion (RVO), or diabetic macular edema (DME), newly-treated with anti-vascular endothelial growth factor (anti-VEGF) agents as recorded in the Japanese Medical Data Center (JMDC) database. Study design This non-interventional, descriptive, retrospective, observational cohort study included insured Japanese patients aged ≥ 21 and ≤ 75 years at index date (anti-VEGF treatment initiation). Methods Patients with minimum one claim in JMDC database with a diagnosis code for nAMD, RVO, or DME between October 2007–May 2015 and with minimum of one claim for anti-VEGF agents on or after the date of diagnosis were included. Frequency and proportion of claims submitted for anti-VEGF injections were assessed during 12 months post-index date. Results The median (interquartile range) number of claims for anti-VEGF injections during 12 months post-index date were 3 (1, 4) for nAMD (n = 255), 2 (1, 3) for RVO (n = 223) and 2 (1, 4) for DME (n = 125) patients. Frequencies of nAMD, RVO and DME patients with one or more claims for a retinal disease treatment other than an anti-VEGF agent were 4 (1.57%), 59 (26.46%) and 68 (54.40%) during the 12 months pre-index date and 21 (8.24%), 85 (38.12%) and 62 (49.60%) in the 12 months post-index date, respectively. Conclusions The median number of anti-VEGF injections per patient was lower than those reported in clinical trials. Although various pre- and concomitant treatments were used in RVO and DME, anti-VEGF monotherapy was the first-line treatment in > 90% of nAMD patients.
Match them up: visually explainable few-shot image classification
Few-shot learning (FSL) approaches, mostly neural network-based, assume that pre-trained knowledge can be obtained from base (seen) classes and transferred to novel (unseen) classes. However, the black-box nature of neural networks makes it difficult to understand what is actually transferred, which may hamper FSL application in some risk-sensitive areas. In this paper, we reveal a new way to perform FSL for image classification, using a visual representation from the backbone model and patterns generated by a self-attention based explainable module. The representation weighted by patterns only includes a minimum number of distinguishable features and the visualized patterns can serve as an informative hint on the transferred knowledge. On three mainstream datasets, experimental results prove that the proposed method can enable satisfying explainability and achieve high classification results. Code is available at https://github.com/wbw520/MTUNet.