PURPOSE To investigate the application of CLSM in tumor pathology with the three dimensional reconstruction by confocal laser scanning microscopy in routine pathologic specimens of HCC, METHODS 30 ?m thick sections were cut from the paraffin-embedded tissues of HCC. hyperplasia and normal liver, stained with the DNA fluorescent probe YOYO-1 iodide and examined by CLSM to collect optical sections and 3D reconstructed images. RESULTS HCC displayed chaotic arrangement of carcinoma cell nuclei, marked pleomorphism. indented and irregular nuclear surface, and irregular and coarse chromatin texture. CONCLUSION The serial optical tomograms of CLSM can be used to create 3D reconstruction of cancer cells. Such 3D impressions might be helpful or even essential in arriving at an exact diagnosis

Objective:To investigate the clinical characteristics of elderly patients with coronavirus disease 2019(COVID-19), in order to provide scientific evidence for the diagnosis and treatment of COVID-19 in elderly patients.Methods:Clinical data of 102 patients with COVID-19 admitted to the B11 East Ward of the Zhongfaxincheng campus and the E1-3 ward of the Guanggu Campus of Tongji Hospital affiliated to Huazhong University of Science and Technology in Wuhan from 1 February 2020 to 28 February 2020 were retrospectively collected and analyzed.Patients were categorized into 2 groups: the elderly group(≥60 years old)and the young and middle-aged group(<60 years old). Differences in epidemiological features, demographics, clinical symptoms, laboratory results and imaging findings between the two groups were retrospectively analyzed.Results:Among 102 patients with COVID-19, 58 were in the elderly group(≥60 years old), with a median age of 67.0(63.8, 71.0)years old, and 44 in the young and middle-aged group(<60 years old), with a median age of 47.5(38.0, 51.8)years old.There was no significant difference in gender ratio between the two groups( χ2=0.033, P=0.855). Of 102 patients, 42.0%(21/50)had close contact with an infected person, 14.0%(7/50)were from infection clusters, and 18.0%(9/50)had suspected hospital-acquired infections.Fever and cough remained the most common symptoms, but gastrointestinal symptoms such as nausea, poor appetite, diarrhea and muscle cramps were also warning signs.Fatigue and cough were the most common presenting symptoms in elderly male patients.Bilateral patchy infiltrates(57.9%, 22/38)and ground-glass opacities(42.1%, 16/38)were the main imaging features and 42.1%(16/38)patients had multiple areas of the lungs involved.Over 50% patients had increased levels of blood glucose, D-dimer, fibrinogen, C-reactive protein, procalcitonin, multiple cytokines and neutrophil-to-lymphocyte ratio, as well as decreased levels of albumin, hemoglobin, hematocrit, lymphocytes and serum calcium.Compared with the young and middle-aged group, the elderly group had higher rates of abnormality in levels of D-dimer and serum calcium( χ2=7.067 and 4.166, P=0.008 and 0.041). Conclusions:Fever and cough are the most common symptoms in elderly patients with COVID-19.Elderly patients with COVID-19 have multiple abnormalities in clinical laboratory test results, which show a certain level of specificity compared with young and middle-aged patients.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.