ABSTRACT
BACKGROUND@#Artificial intelligence (AI) technology represented by deep learning has made remarkable achievements in digital pathology, enhancing the accuracy and reliability of diagnosis and prognosis evaluation. The spatial distribution of CD3 + and CD8 + T cells within the tumor microenvironment has been demonstrated to have a significant impact on the prognosis of colorectal cancer (CRC). This study aimed to investigate CD3 CT (CD3 + T cells density in the core of the tumor [CT]) prognostic ability in patients with CRC by using AI technology.@*METHODS@#The study involved the enrollment of 492 patients from two distinct medical centers, with 358 patients assigned to the training cohort and an additional 134 patients allocated to the validation cohort. To facilitate tissue segmentation and T-cells quantification in whole-slide images (WSIs), a fully automated workflow based on deep learning was devised. Upon the completion of tissue segmentation and subsequent cell segmentation, a comprehensive analysis was conducted.@*RESULTS@#The evaluation of various positive T cell densities revealed comparable discriminatory ability between CD3 CT and CD3-CD8 (the combination of CD3 + and CD8 + T cells density within the CT and invasive margin) in predicting mortality (C-index in training cohort: 0.65 vs. 0.64; validation cohort: 0.69 vs. 0.69). The CD3 CT was confirmed as an independent prognostic factor, with high CD3 CT density associated with increased overall survival (OS) in the training cohort (hazard ratio [HR] = 0.22, 95% confidence interval [CI]: 0.12-0.38, P <0.001) and validation cohort (HR = 0.21, 95% CI: 0.05-0.92, P = 0.037).@*CONCLUSIONS@#We quantify the spatial distribution of CD3 + and CD8 + T cells within tissue regions in WSIs using AI technology. The CD3 CT confirmed as a stage-independent predictor for OS in CRC patients. Moreover, CD3 CT shows promise in simplifying the CD3-CD8 system and facilitating its practical application in clinical settings.
Subject(s)
Humans , Lymphocytes, Tumor-Infiltrating , Colorectal Neoplasms , Artificial Intelligence , Reproducibility of Results , Prognosis , CD8-Positive T-Lymphocytes , Tumor MicroenvironmentABSTRACT
Objective@#To study the clinicopathological characteristics of cardiac neoplasms.@*Methods@#A total of 689 cases of cardiac neoplasms from January 1st 1992 to December 31th 2017 at Guangdong Provincial People′s Hospital were collected. The clinical data and histologic features were analyzed along with a review of literature. The pathological diagnosis and classification were based on the criteria of WHO 4th edition(2015).@*Results@#Among 689 cases of cardiac neoplasms, 259 were male and 430 were female patients, with age from 0 to 84 years (mean of 48 years). The peak incidence was between the fourth and sixth decade. Among patients younger than 20 years, there were 24 males and 12 females. 674 cases(674/689,97.8%)were primary cardiac tumors and 15 cases were secondary tumors (15/689,2.2%). Amongst the primary cardiac neoplasms, 625 cases were benign(625/674,92.7%), 7 cases were borderline (7/674, 1.0%), and 42 cases were malignant (42/674, 6.2%). The incidences of benign, borderline and malignancy heart tumors among patients below 20 years old were lower than those of patients over 20 years of age (4.8% vs. 95.2%; 3/9 vs. 6/9; 5.5% vs. 94.5%, respectively). Of the benign tumors, 406 cases were female and 219 cases were male. More male than female patients were seen in borderline and malignancy cardiac tumor categories (6∶3; 34∶21). Of 625 benign tumors, 577 cases were myxoma(85.6%), which mainly occurred in patients over 20 years of age(85.9% vs. 14.1%) with a female predominance. Non-myxomas mainly occurred in children and adolescent patients compared to adult (55.6% vs. 44.4%, P<0.01) with a male predominance. Overall, 524 tumors originated from the left atrium, 84 cases from the right atrium, 26 cases from the pericardium, 23 cases from the right ventricular, and 11 cases from the left ventricle. However, 21 cases were multicentric or involving cardiac valves. Benign tumors mainly involved left heart(76.3%) vs. right heart(81/625, 12.6%). The mostly common location of borderline tumors was right heart(5/9). Malignant tumors tended to involve the right heart(22/55,40.0%) and pericardium(18/55, 32.7%).@*Conclusions@#Although the incidence of cardiac neoplasms is low,various tumor types can occur, most of which are myxoma with a female predominance. Non-myxomas mainly occur in children and adolescents with a male predominance.
ABSTRACT
Carbon nanosheets load beta-cyclodextrin (β-CD-CNS) as a new modified electrode materials was reported for the electrochemical determination of sulfadiazine(SD). Carbon nanosheets(CNS) were prepared by a new method of ultrasonic electrolysis in which the β-CD was attached on CNS through ultrasonic dispersion method. The β-CD-CNS composite nanomaterials were immobilized onto glassy carbon electrodes with drops of coating method to construct an SD voltammetric sensor. The differential pulse stripping voltammetry (DPSV) was used to characterize the electrocatalytic behavior of the developed sensor. The Effects of some parameters on the response behavior of the sensor such as pH,modification amount,scanning rate,stirring speed,stirring time,deposition potential and time were investigated and optimized. The results indicated that the β-CD-CNS composite nanomaterials had excellent electroactivity for the SD in neutral solution and greatly improved the current response of SD. Under the optimal conditions, the SD had an irreversible characteristic oxidation peak around+0.87 V,and the oxidation peak current ip(μA) had a good linear relationship with the concentration C ( μmol/L) of the SD in concentration range of 0.05 μmol/L-13.5 μmol/L with correlation coefficients of 0.999. The detection limit was 12.2 nmol/L (S/N=3). The sensor was successfully applied for the trace SD determination in water and milk samples and the recoveries from the spiked samples were 80.0%-102% with RSD≤5.2%.