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1.
Chinese Journal of Lung Cancer ; (12): 245-252, 2022.
Article in Chinese | WPRIM | ID: wpr-928805

ABSTRACT

BACKGROUND@#Lung cancer is the cancer with the highest mortality at home and abroad at present. The detection of lung nodules is a key step to reducing the mortality of lung cancer. Artificial intelligence-assisted diagnosis system presents as the state of the art in the area of nodule detection, differentiation between benign and malignant and diagnosis of invasive subtypes, however, a validation with clinical data is necessary for further application. Therefore, the aim of this study is to evaluate the effectiveness of artificial intelligence-assisted diagnosis system in predicting the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules.@*METHODS@#Clinical data of 223 patients with early-stage lung adenocarcinoma appearing as pulmonary nodules admitted to the Lanzhou University Second Hospital from January 1st, 2016 to December 31th, 2021 were retrospectively analyzed, which were divided into invasive adenocarcinoma group (n=170) and non-invasive adenocarcinoma group (n=53), and the non-invasive adenocarcinoma group was subdivided into minimally invasive adenocarcinoma group (n=31) and preinvasive lesions group (n=22). The malignant probability and imaging characteristics of each group were compared to analyze their predictive ability for the invasive subtypes of early-stage lung adenocarcinoma. The concordance between qualitative diagnostic results of artificial intelligence-assisted diagnosis of the invasive subtypes of early-stage lung adenocarcinoma and postoperative pathology was then analyzed.@*RESULTS@#In different invasive subtypes of early-stage lung adenocarcinoma, the mean CT value of pulmonary nodules (P<0.001), diameter (P<0.001), volume (P<0.001), malignant probability (P<0.001), pleural retraction sign (P<0.001), lobulation (P<0.001), spiculation (P<0.001) were significantly different. At the same time, it was also found that with the increased invasiveness of different invasive subtypes of early-stage lung adenocarcinoma, the proportion of dominant signs of each group gradually increased. On the issue of binary classification, the sensitivity, specificity, and area under the curve (AUC) values of the artificial intelligence-assisted diagnosis system for the qualitative diagnosis of invasive subtypes of early-stage lung adenocarcinoma were 81.76%, 92.45% and 0.871 respectively. On the issue of three classification, the accuracy, recall rate, F1 score, and AUC values of the artificial intelligence-assisted diagnosis system for the qualitative diagnosis of invasive subtypes of early-stage lung adenocarcinoma were 83.86%, 85.03%, 76.46% and 0.879 respectively.@*CONCLUSIONS@#Artificial intelligence-assisted diagnosis system could predict the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules, and has a certain predictive value. With the optimization of algorithms and the improvement of data, it may provide guidance for individualized treatment of patients.


Subject(s)
Humans , Adenocarcinoma/pathology , Adenocarcinoma of Lung/pathology , Artificial Intelligence , Lung Neoplasms/pathology , Multiple Pulmonary Nodules , Neoplasm Invasiveness , Retrospective Studies
2.
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care ; (6): 338-341, 2019.
Article in Chinese | WPRIM | ID: wpr-754570

ABSTRACT

Objective To analyze the characteristics of lower respiratory tract infection occurring in patients after craniocerebral surgery in Intensive Care Unit (ICU) and explore its nursing countermeasures. Methods Sixty-eight patients with lower respiratory tract infection after craniocerebral surgery in the ICU of the First Affiliated Hospital of Wenzhou Medical University from January 2015 to March 2016 were selected as the study subjects. All patients were treated with dehydration to reduce intracranial pressure, hemostasis, anti-infection, anti-epilepsy, mild hypothermia, hypoglycemia and other symptomatic supportive treatments, and the corresponding nursing measures were given. The patients' primary diseases and etiological examination results were analyzed. Results Of the 68 patients complicated with lower respiratory tract infection after craniocerebral surgery, the majority of primary disease was craniocerebral injury, accounting for 45.59% (31/68). A total of 127 strains of pathogenic bacteria were isolated, mainly Gram-negative (G-) bacteria [92 strains (accounting for 72.44% )];followed by Gram-positive (G+) bacteria [19 strains (accounting for 14.96%)] and fungi [16 strains (accounting for 12.60%)]. The main pathogens of G- were Acinetobacter baumannii 21 strains (accounting for 23.14%), Klebsiella pneumoniae 13 strains (accounting for 14.94%), Burkholderia cepacia 10 strains (accounting for 11.49%), Pseudomonas aeruginosa 8 strains (accounting for 11.49%); the main pathogens of G+ was Staphylococcus aureus 6 strains (accounting for 5.89%). Conclusion The incidence of lower respiratory tract infection in ICU patients after craniocerebral surgery is high. It is necessary to prevent and control the related risk factors as soon as possible, and take energetic and effective nursing measures to reduce the incidence of lower respiratory tract infection.

3.
Chinese Journal of Postgraduates of Medicine ; (36): 21-23, 2012.
Article in Chinese | WPRIM | ID: wpr-427941

ABSTRACT

Objective To investigate the diagnosis and treatment of the posterior fossa solid hemangioblastomas (PFSHs).Methods The data of 23 patients with PFSHs verified by surgery and pathology were analyzed retrospectively.Results Nineteen cases were diagnosed with PFSHs before surgery.Total tumor removal was achieved in 22 patients.No case died of operation.A follow-up time was 0.33 -9.00 (2.96 ±2.73) years,20 patients returned to work,1 patient had self-handling living,and 2 patients died.Conclusions MRI and digital subtraction angiography are major preoperatively diagnostic modalities for PFSHs.PFSHs is still a kind of challenging neoplasms.Applicating special microsurgical technique and improving the operative manipulation can improve the surgical efficacy.

4.
Journal of Medical Research ; (12)2006.
Article in Chinese | WPRIM | ID: wpr-679246

ABSTRACT

Objective To investigate the met ho ds of isolation,culturing and passaging of neural stem cells originated from ra t embryonic brains.Methods The neural stem cells were obtained from the brain tissue of rat embryos.They were cultured and passaged with serum-free medium.T hey were identified with Nestin and stained with NF68,GFAP,and GalC after diff erentiation.Results We cultured the neural stem cells through several passages .With the help of serum,they differentiated to neurons,astrocytes and oligode ndrocytes.Conclusion The neural stem cells derived from rat embryonic brains a re able to proliferate and multiplepotent for differentiation.

5.
Journal of Medical Research ; (12)2006.
Article in Chinese | WPRIM | ID: wpr-559588

ABSTRACT

Objective To discuss the relationship between IL-13R?2 and the tumorigenesis and progression of gliomas. Methods Expression level of IL-13R?2 mRNA was studied by Reverse Transcription-Polymerase Chain Reaction(RT-PCR) in 20 cases of glioma and 5 cases of normal brain tissue. Results There was no expression of IL-13R?2 mRNA in all cases of normal brain tissue, wherea 13 of 20 gliomas expressed IL-13R?2.There were specially significant difference between them(P0.05) between low grade gliomas and high grade gliomas, there was greatly significant difference(P

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