ObjectivesTo evaluate and preliminarily analyze the application value and efficacy of artificial intelligence optical coherence tomography (AI-OCT) technology in the early screening of retinal diseases among the elderly, hypertension, hyperglycemia, high myopia and hyperlipidemia (referred to as "Five-High") population. MethodsA diagnostic trial was conducted. A total of 3 834 patients (7 668 eyes) with "Five-High" risk factors who visited the outpatient clinics of Shenyang Fourth People’s Hospital from July to December 2024 were included. OCT imaging of the macular and peripheral retina was performed using the Bigway AI-OCT image analysis system (wide-field three-dimensional scanning mode). The deep learning-based system automatically identified and labeled eight types of high-risk retinal lesions: subretinal fluid (SRF), intraretinal fluid (IRF), epiretinal membrane (ERM), choroidal neovascularization (CNV), hyper-reflective foci (HRF), retinal pigment epithelium detachment, retinal hemorrhage, and macular hole (MH). The positive rate of AI screening and the distribution of high-risk lesions were analyzed. Consistency between AI-OCT screening results and ophthalmologist review was assessed using Cohen’s Kappa test. Logistic regression was used to identify independent predictors of positive AI-OCT screening. Referral and treatment rates were also analyzed. ResultsAmong 3 834 cases involving 7 668 eyes, 803 cases (1 606 eyes) were positive in AI-OCT screening, with a positive rate of 20.9% (803/3 834), including 266 high-risk and 537 non-high-risk patients, respectively. The positive screening rates of patients with "five highs" were as follows: hyperlipidemia 25.2% (185/735), advanced age 24.9% (746/1 998), hyperglycemia 24.8% (345/1 392), hypertension 23.8% (228/956), and high myopia 19.0% (40/210). Among 1 606 positive eyes, 1 355 high-risk lesions were identified by consensus. Among them, ERM had the largest number of identifications (780, 57.6%), followed by HRF (255, 18.8%), and MH had the smallest number of identifications (7, 0.5%). Physicians randomly reexamined 1 352 cases and 2 704 eyes. The number of positive and negative eyes diagnosed was 753 and 1 952 respectively. The number of positive and negative eyes screened by AI-OCT was 828 and 1,876 respectively. There was an excellent consistency between AI-OCT screening and physician diagnosis (Kappa=0.866, P=0.011). Multivariate logistic regression analysis showed that age [odds ratio (OR) =1.071, P＜0.001], high myopia (OR=1.921, P=0.001), and hyperglycemia (OR=1.287, P=0.005) were independent predictors of positive AI-OCT screening. Among 1 355 high-risk lesions, a total of 703 were referred (referral rate 51.9%). The three lesions with the highest referral rates were SRF (71.1%, 27/38), IRF (69.2%, 54/78), and CNV (61.5%, 24/39), respectively. Among the 803 cases with positive AI-OCT screening, 385 cases (47.9%) actually received referral suggestions, 259 cases (32.3%) were eventually diagnosed, and 109 cases (13.6%) received treatment. Compared with low-risk patients, the referral rate and diagnosis rate of high-risk patients were significantly higher (χ2=6.87, 4.48; P＜0.05), but there was no statistically significant difference in the final treatment acceptance rate between groups (χ2=1.15, P=0.28). ConclusionsThe established AI-OCT based screening model for fundus diseases in the “Five-High” population effectively improves the detection rate of early-stage lesions and promotes a shift from universal to precision screening. Patients with positive screening results have obvious referral and treatment obstacles, which requires clinical attention.
Objective To evaluate the coronary artery ostium obstruction caused by the commissure of transcatheter heart valve (THV) with the markers on THV under X-ray, which was identified by observing the position relationship between the commissure of THV and the coronary artery ostium from analyzing aortic root computed tomographic angiography (CTA) images after transcatheter aortic valve replacement (TAVR). Methods A retrospective analysis was performed on 25 patients undergoing TAVR who were checked with electrocardiographically gated CTA for the aortic root after the TAVR procedure between January 2020 and December 2021 in General Hospital of Northern Theater Command. The images of THV with the lowest position of non-coronary sinus and the right anterior oblique and caudal in most cases were observed when the THVs were deployed. The position relationships of the three markers on the THV after valve release were recorded, which were divided into three conditions, namely the three markers being averagely distributed, the middle marker being close to left, and the middle marker being close to right. Postoperative CTA images of the patients were analyzed. The angle between the commissure of THV and the coronary artery ostium was measured, and the angles in each group were presented as medium (lower quartile, upper quartile). Results A total of 17 patients were finally included. The angles between the commissure of THV and the left coronary artery ostium were 19.0 (16.0, 31.0)°, 36.0 (15.0, 44.0)°, and 3.0 (3.0, 5.0)° in the markers averagely distributed group (n=7), the middle marker close to left group (n=6), and the middle marker close to right group (n=4), respectively, which were significantly different (P=0.033). The angles between the commissure of THV and the right coronary artery ostium were 43.0 (25.0, 51.0)°, 47.0 (41.0, 57.0)°, and 13.0 (7.5, 21.0)° in the markers averagely distributed group, the middle marker close to left group, and the middle marker close to right group, respectively, which were significantly different (P=0.017). There was significant difference in the obstruction degrees of left coronary artery ostium by the commissure of THV (P=0.008), and no significant difference in the obstruction degrees of right coronary artery ostium (P=0.062). When the middle marker was close to right, there was no more than moderately obstruction on the right coronary artery ostium and no any obstruction on the left coronary artery ostium. When the middle marker was close to left, the obstruction rate of the left coronary artery ostium with more than moderate degree was 4/6 (66.7%) and it was 6/6 (100.0%) for the right coronary artery ostium. Conclusions The degree of coronary artery ostium obstruction by the commissure of THV can be accurately evaluated by using markers on THV. Among them, when the middle marker is close to right, the commissures of THV are least likely to block the coronary artery ostium.
Lumbar disc herniation (LDH) is one of the most important causes of back and leg pain, which seriously affects the quality of life of patients. As the first-line treatment for LDH, non-operative treatment can relieve 80% to 90% of symptoms among the patients with LDH. This guideline followed Guidelines for the Formulation/Revision of Clinical Treatment Guidelines in China (2022 edition) and WHO handbook for guideline development (2014 edition) to set up guideline working group. This guideline identified fourteen clinical questions through the literature review and clinical experts’ consensus. We drafted the recommendations after systematically searching and evaluating the evidence; delphi method was adopted for expert consensus on the preliminary recommendations, finally, 19 recommendations were made to guide non-operative treatments for LDH. This guideline can provide guidance for the clinical practice of Chinese and western orthopedics practitioners.
