Objective To study the significance of detection the short-term fluctuation (SF) of macular light threshold detected by Octopus-123 automatic perimeter in suspected early age-related macular dege-neration (AMD). Methods SF of macular light sensitivity, Amsler chart and central visual acuity were examined in 51 patients(66 eyes) with suspected early AMD group and in 32 patients (40 eyes) in the control group. Results SF were significantly different in suspected early AMD group and control group. SF was more sensitive than the examination of central visual acuity and Amsler chart. SF was related to the quantity, location and quality of drusen. Conclusion Visual function of some suspected early AMD patients with drusen may be damaged, though the central visual acuity appears normal. (Chin J Ocul Fundus Dis, 2002, 18: 119-120)
Objective To evaluate the variability of four parameters of multi-focal electroretinogram (mERG) a-wave amplitude, b-wave amplitude, awave latent period, b-wave latent period. Methods Sixty normal eyes of 46 volunteers were divided into 3 groups of different ages. RETIscan 3-12 system was used to carry out mERG examination. The stimulus matrix of 61 hexagonal elements spanning the central 24deg;of the visual field. These hexons were scaled with eccentricity and divide d into 5 rings. First-order kernel was selected. Results The variability of four parameters of mERG was great. The variability of b-wave latent period was the smallest, its coefficient of variatian was 4.52%～15.62%；that of a-wave latent period held the second place:10.29%~48.67%；that of b-wave amplitude was greater:25.92%~76.11%；that of a-wave amplitude was the greatest:43.82%~88.23%. The results of three groups showed that b-wave amplitude of ring 1 had the smallest variability. Conclusions The variability of latent period is smaller than that of amplitude; the variability of b-wave was smaller than that of a-wave. The longer the centrifugal distance, the lower the amplitude density of a-wave and b-wave. Physiological and anatomical factors might be important for the variability of parameters of multi-focal electroretinogram. (Chin J Ocul Fundus Dis, 2001,17:277-279)
Objective To evaluate the diagnosis of blue-on-yellow perimetry and macular threshold perimetry in early primary glaucoma. Methods Humphrey II 750 automatic perimetry was used to test 60 eyes of 60 cases in normal control group and 63 eyes of 63 cases in early primary glaucoma group with white-on-white perimetry (W/W), blue-on-yellow perimetry (B/Y)，and macular threshold perimetry (M TP). The results of the visual field defects detected by the three perimetries were compared and analyzed.Results The differences of mean sensibility of W/W, B/Y and MTP between the two groups had statistical significance［t=-3 .01, P=0.0054 (W/W); t=-2.95, P=0.006 3 (B/Y); t=-2.59,P=0. 0150 (MTP)］. In the diagnosis of early primary glaucoma, the sensitivity of MTP was the highest (83%), B/Y was the second (65%), and W/W was the lowest (48%). When B/Y and MTP were combined, the sensitivity was improved to 94% using parallel testing, and the specificity was improved to 87% using serial testing.Conclusions B/Y and MTP are valuable in diagnosis of early primary glaucoma, and the sensitivity and specificity of the diagnosis can be improved when B/Y and MTP are combined. (Chin J Ocul Fundus Dis，2003，19：102-105)
Objective To evaluate the application of tendency-oriented perimetry (TOP) in detecting the visual function of glaucoma. Methods The traditional threshold perimetry (Normal/Normal strategy) and TOP (TOP/Normal strategy) carried out by Octopus 101 perimetry were used to examine the visual field of 20 normal subjects (20 eyes), 32 cases (32 eyes) of primary open-angle glaucoma (POAG), and 14 cases (14 eyes) of suspected POAG, respectively. The visual field outcomes, indices, point by point threshold variability and defective points of the two perimetries were compared and analysed. Results The negative rate of TOP was 90% in normal subjects. The positive rate of TOP was 75% in POAG , and 100% in middle and late stage of POAG. The visual field indices of two perimetries were positively correlated, with mean sensitivity (MS) of r=0.9335, mean defect (MD) of r=0.9189, and loss variance (LV) of r=0.9621. The point by point threshold variability and defective points of TOP were higher than those of traditional threshold perimetry, but the difference between the two perimetries was not significant (P=0.2019, P=0.4448). Conclusion The visual field indices of TOP and traditional threshold perimetry are positively correlated. The sensitivity and reproducibility of TOP are high in detecting the visual function of middle and late stage of POAG. (Chin J Ocul Fundus,Dis, 2002, 18: 269-272)
Couinaud first proposed the naming of S9 segment of liver in 1994, and Liu Yunyi further promoted this naming in his work “Applied Anatomy of Hepatectomy and Liver Transplantation” in 2016. However, it has not been widely recognized and supported in the field of liver surgery for a long time. In recent years, due to the promotion and gradual maturity of endoscopic technology, there has been a more detailed understanding and demand for anatomy of liver and bile duct. Therefore, this article further explores the clinical value and significance of S9 segment of liver.
ObjectiveTo evaluate the diagnostic value of artificial intelligence (AI)-assisted diagnostic system for pulmonary cancer based on CT images.MethodsDatabases including PubMed, The Cochrane Library, EMbase, CNKI, WanFang Data and Chinese BioMedical Literature Database (CBM) were electronically searched to collect relevant studies on AI-assisted diagnostic system in the diagnosis of pulmonary cancer from 2010 to 2019. The eligible studies were selected according to inclusion and exclusion criteria, and the quality of included studies was assessed and the special information was identified. Then, meta-analysis was performed using RevMan 5.3, Stata 12.0 and SAS 9.4 softwares. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio were pooled and the summary receiver operating characteristic (SROC) curve was drawn. Meta-regression analysis was used to explore the sources of heterogeneity.ResultsTotally 18 studies were included with 4 771 patients. Random effect model was used for the analysis due to the heterogeneity among studies. The results of meta-analysis showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio and area under the SROC curve were 0.87 [95%CI (0.84, 0.90)], 0.89 [95%CI (0.84, 0.92)], 7.70 [95%CI (5.32, 11.15)], 0.14 [95%CI (0.11, 0.19)], 53.54 [95%CI (30.68, 93.42)] and 0.94 [95%CI (0.91, 0.95)], respectively.ConclusionAI-assisted diagnostic system based on CT images has high diagnostic value for pulmonary cancer, and thus it is worthy of clinical application. However, due to the limited quality and quantity of included studies, above results should be validated by more studies.
Lung cancer ranks among the most prevalent and lethal malignancies globally. Its prognostic outcomes are not only contingent upon tumor characteristics and therapeutic interventions but also intricately linked to the nutritional and immune profiles of patients. This article conducts a thorough review of both domestic and international research, providing a comprehensive synthesis of the prognostic value of widely investigated nutritional and immune indicators in the context of lung cancer. The primary objective is to identify optimal prognostic markers in clinical practice, offering guidance for precise post-treatment assessment and early intervention for lung cancer patients.
Objective To evaluate the diagnostic value of human heart-type fatty acid-binding protein for early detection of acute myocardial infarction (AMI). Methods Studies involving this biomarker were identified from MEDLINE, EMbase, CBM and VIP (1970 to 2006). Relevant journals (1980 to 2006) were also handsearched. The quality of the included studies was assessed using the QUADAS tool. Data extraction and analysis were conducted by software of EXCEL2003 and Metadisc. Results We included 13 studies, which were heterogeneous (P=0, I2=58.5%). Five studies (n=396) included in the group assessed the test at the first three hours after chest pain onset. These studies were homogeneous (P= 0.49, I2=0). The pooled sensitivity was 0.86 ( 95%CI 0.80 to 0.91), the pooled specificity was 0.76( 95%CI 0.80 to 0.91), and the area under the curve was 0.88 (SE=0.032 3). In the group of 0 to 6 hours after chest pain onset, 10 included studies (n=1 175) were heterogeneous (P=0, I2=69%). The pooled sensitivity was 0.86 (95%CI 0.83 to 0.89), the pooled specificity was 0.79 (95%CI 0.76 to 0.82), and the area under the curve was 0.92 (SE=0.019). In the group of 6 to 12 hours after chest pain onset, 4 included studies (n=215) were homogeneous (P=0.56, I2=0). The pooled sensitivity was 0.97 (95%CI 0.91 to 0.99), the pooled specificity was 0.52 (95%CI 0.42 to 0.61), and the area under the curve was 0.810 with (SE=0.152 2). In the group of 0 to 12 hours after chest pain, 11 included studies (n=1 352) were heterogeneous (P=0.56, I2=59%). The pooled sensitivity was 0.88 (95%CI 0.84 to 0.89), the pooled specificity was 0.75 (95%CI 0.71 to 0.78), and the areas under the curve was 0.91 (SE=0.016 4). Conclusions In this systematic review, we found that H-FABP has an acceptable diagnostic accuracy within 3 hours after the onset of symptoms, and within 12 hours after the onset of symptoms, H-FABP has a high diagnostic efficacy. So H-FABP may be a new symbol for the early diagnosis of AMI.
ObjectiveTo evaluate the value of 120 kV portal venous phase images combined with iodine maps created from dual-source dual-energy CT (DECT) for the diagnosis of pancreatic necrosis in the early stage of acute pancreatitis. MethodsThis prospective study enrolled 17 patients who underwent abdominal dual-source DECT within 72 hours from the onset of acute pancreatitis. All patients had received treatment in West China Hospital from May 2014 to August 2014. Comparison of the diagnostic value of 120 kV portal venous phase images alone and 120 kV portal venous phase images combined with iodine maps created from dual-source DECT was performed. ResultsSix of the 17 patients were found the presence of pancreatic necrosis (4 patients without obvious necrosis in the early stage developed to pancreatic necrosis, and 2 patients with the presence of necrosis in the early stage improved). The sensitivity, specificity, and accuracy of 120 kV portal venous phase images for the diagnosis of pancreatic necrosis were 50.0% (3/6), 100% (11/11), and 82.4% (14/17), respectively, and it had a good diagnostic value (AUC=0.856, P=0.018). The sensitivity, specificity, and accuracy of 120 kV portal venous phase images combined with iodine maps created from dual-source DECT for predicting pancreatic necrosis were 100% (6/6), 90.9% (10/11), and 94.1% (16/17), respectively, and this method had good value too (AUC=0.977, P=0.002), which higher than that of 120 kV portal venous phase images (P=0.002). ConclusionsThe 120 kV portal venous phase images combined with iodine maps created from dual-source DECT is helpful to improve subjective judgment in the diagnosis of pancreatic necrosis in the early stage of acute pancreatitis. It also contributes to the display of hypo-perfusion area of the pancreatic parenchyma, and has higher diagnostic value.
The establishment of brain metabolic network is based on 18fluoro-deoxyglucose positron emission computed tomography (18F-FDG PET) analysis, which reflect the brain functional network connectivity in normal physiological state or disease state. It is now applied to basic and clinical brain functional network research. In this paper, we constructed a metabolic network for the cerebral cortex firstly according to 18F-FDG PET image data from patients with temporal lobe epilepsy (TLE).Then, a statistical analysis to the network properties of patients with left or right TLE and controls was performed. It is shown that the connectivity of the brain metabolic network is weakened in patients with TLE, the topology of the network is changed and the transmission efficiency of the network is reduced, which means the brain metabolic network connectivity is extensively impaired in patients with TLE. It is confirmed that the brain metabolic network analysis based on 18F-FDG PET can provide a new perspective for the diagnose and therapy of epilepsy by utilizing PET images.