Objective To analyze the evaluation value of whole brain computed tomography perfusion imaging(CTPI)scanning parameters on collateral circulation in ischemic stroke.Methods One hundred and two patients with ischemic stroke were selected,according to the condition they were divided into mild group(n=26),moderate group(n=56),and severe group(n=20).The col-lateral circulation status was evaluated based on the modified American Society of Interventional and Therapeutic Neuroradiology(ASITN)/Society of Interventional Radiology(SIR)score of dynamic CT angiography,and was divided into good group(n=61)and poor group(n=41).CTPI parameters were compared between different groups of patients with cerebral blood flow(CBF),cerebral blood volume(CBV),mean transit time(MTT),and time to peak(TTP).Results The CBF and CBV in the severe group were lower than those in the mild and moderate groups,while the MTT and TTP were higher than those in the mild and moderate groups(P<0.05);The CBF and CBV in the moderate group were lower than those in the mild group,while the MTT and TTP were higher than those in the mild group(P<0.05).The CBF and CBV in the good group were higher than those in the poor group,while the MTT and TTP were lower than those in the poor group(P<0.05).Receiver operating characteristic(ROC)curve analysis showed that the sensitivity of CBF,CBV,MTT,and TTP in predicting poor collateral circulation was 0.820,0.672,0.803,and 0.820,respectively;The specificity was 0.854,0.756,0.732,and 0.780,respectively.Conclusion CTPI scanning parameters have certain values to assess the intracranial collateral circulation status in patients with ischemic stroke.

Objective To analyze the evaluation value of whole brain computed tomography perfusion imaging(CTPI)scanning parameters on collateral circulation in ischemic stroke.Methods One hundred and two patients with ischemic stroke were selected,according to the condition they were divided into mild group(n=26),moderate group(n=56),and severe group(n=20).The col-lateral circulation status was evaluated based on the modified American Society of Interventional and Therapeutic Neuroradiology(ASITN)/Society of Interventional Radiology(SIR)score of dynamic CT angiography,and was divided into good group(n=61)and poor group(n=41).CTPI parameters were compared between different groups of patients with cerebral blood flow(CBF),cerebral blood volume(CBV),mean transit time(MTT),and time to peak(TTP).Results The CBF and CBV in the severe group were lower than those in the mild and moderate groups,while the MTT and TTP were higher than those in the mild and moderate groups(P<0.05);The CBF and CBV in the moderate group were lower than those in the mild group,while the MTT and TTP were higher than those in the mild group(P<0.05).The CBF and CBV in the good group were higher than those in the poor group,while the MTT and TTP were lower than those in the poor group(P<0.05).Receiver operating characteristic(ROC)curve analysis showed that the sensitivity of CBF,CBV,MTT,and TTP in predicting poor collateral circulation was 0.820,0.672,0.803,and 0.820,respectively;The specificity was 0.854,0.756,0.732,and 0.780,respectively.Conclusion CTPI scanning parameters have certain values to assess the intracranial collateral circulation status in patients with ischemic stroke.

BACKGROUND: Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery. METHODS: In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC). RESULTS: A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model. CONCLUSIONS A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.
Humans ; Female ; Breast Neoplasms/genetics* ; East Asian People ; Neoplasm Recurrence, Local/genetics* ; Breast ; Algorithms ; Chronic Disease ; Prognosis ; Tumor Microenvironment

The estimated new cases of breast cancer (BC) patients were 2.26 million in 2020, which accounted for 11.7% of all cancer patients, making it the most prevalent cancer worldwide. Early detection, diagnosis and treatment are crucial to reduce the mortality, and improve the prognosis of BC patients. Despite the widespread use of mammography screening as a tool for BC screening, the false positive, radiation, and overdiagnosis are still pressing issues that need to be addressed. Therefore, it is urgent to develop accessible, stable, and reliable biomarkers for non-invasive screening and diagnosis of BC. Recent studies indicated that the circulating tumor cell DNA (ctDNA), carcinoembryonic antigen (CEA), carbohydrate antigen 15-3 (CA15-3), extracellular vesicles (EV), circulating miRNAs and BRCA gene from blood, and the phospholipid, miRNAs, hypnone and hexadecane from urine, nipple aspirate fluid (NAF) and volatile organic compounds (VOCs) in exhaled gas were closely related to the early screening and diagnosis of BC. This review summarizes the advances of the above biomarkers in the early screening and diagnosis of BC.
Humans ; Female ; Biomarkers, Tumor ; Early Detection of Cancer ; Breast Neoplasms/diagnosis* ; Prognosis ; MicroRNAs/genetics*

Objective: To investigate the clinicopathological characteristics, treatment and prognosis of head and neck carcinosarcoma. Methods: The clinical data of 14 patients with head and neck carcinosarcoma treated in the First Affiliated Hospital of Zhengzhou University from January 2010 to May 2020 were retrospectively analyzed, including 11 males and 3 females, with age range from 30 to 72 years old. Clinicopathological characteristics, treatments and follow-up results of patients were evaluated. Kaplan-Meier method was used to estimate the cumulative survival rate. Results: Histopathological examination showed the co-existence of malignant epithelial and mesenchymal components in all cases. Immunohistochemical staining of 13 cases showed cytokeratin and epithelial membrane antigens were positively expressed in the epithelial areas, whereas vimentin was positive in the malignant mesenchymal tissue area. Among 14 cases, 5 cases were treated with surgery, 3 cases with surgery and radiotherapy, and 6 cases with surgery, radiotherapy and chemotherapy. The follow-up time was 2-81 months, with a median follow-up time of 22.5 months. Except for one patient who was lost to follow-up in 21 months after treatment, among the remaining 13 patients, 4 patients had recurrence, 8 patients died, and 5 patients had a tumor-free survival. The Kaplan-Meier analysis showed that the 1, 3, and 5-year cumulative survival rates of 14 patients with head and neck carcinosarcoma were 64.3%, 57.1%, and 42.9%, respectively. Conclusions: Carcinosarcoma of the head and neck is rare in clinic, histopathological and immunohistochemical examinations are important basis for diagnosis, and surgery is a preferred treatment. Carcinosarcoma of the head and neck has a poor prognosis, and patients should be followed up for a long time.
Adult ; Aged ; Carcinosarcoma/therapy* ; Female ; Humans ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Prognosis ; Retrospective Studies

Objective:To analyze the pathologic features of responses to neoadjuvant immunotherapy of squamous cell carcinoma (SCC) of the lung.Methods:The study included 31 patients with resected lung SCC post neoadjuvant immunotherapy. All patients were recruited from the neoadjuvant anti-PD-1 (Sintilimab) phase Ⅰb clinical trial (ChiCTR-OIC-17013726). The histopathological morphology and different degrees of pathologic response to immunotherapy were evaluated basing on irPRC standard.Results:According to the percentage of residual viable tumor (% RVT), pathologic responses of complete pathologic response (cPR), major pathologic response (MPR) and non-MPR were noted in 19% ( n=6), 29% ( n=9), and 52% ( n=16) of patients respectively. In addition, extensive immune activation phenomena (immune cell infiltration, including infiltration of lymphocytes, plasma cells, foamy macrophages, lymphocyte aggregation and tertiary lymphoid structures formation) and tissue repair features (giant cells, granuloma formation, proliferative fibrosis and neovascularization) were observed in tumor regression bed. Conclusions:Neoadjuvant immunotherapy has favorable effect on lung SCC. Pathologic assessment of resected lung cancer specimens after neoadjuvant immunotherapy shows unique histopathological features consistent with its mechanism.

Objective To evaluate the value of procalcitonin (PCT) combined with CURB-65 score in the elderly patients with community acquired pneumonia(CAP). Methods Seventy-eight elderly patients with CAP were selected in the Emergency Department of Xuanwu Hospital Capital Medical University,After admission,blood routine, PCT, blood gas analysis and biochemical examination were given, and Acute Physiology and Chronic Health Evaluation(APACHEⅡ) and CURB-65 score were carried out. According to the prognosis,the patients were divided into death group (16 cases) and survival group (62 cases),The difference of PCT,white blood cell(WBC),CURB-65 score and APACHE Ⅱ score in the two groups were compared. The differences of area under ROC curve of APACHE II score,procalcitonin (PCT),CURB-65 score,PCT and CURB-65 score were compared. Results The PCT,CURB-65 and APACHEE Ⅱ scores of the death group and the survival group were (3. 35±1. 79) μg/L vs. (2. 05±1. 89) μg/L,(2. 06±0. 85) points vs. (1. 40±0. 99) points,(20. 50±4. 06) points vs. (14. 13+5. 63) points,respectively. There were significant differences between the two groups ( P＜0. 05) . The number of WBCs in survival group and survival group were ( 9. 90 ± 3. 04)×109/L and ( 8. 77 ± 3. 70)×109/L, respectively, with no significant difference between the two groups (P＝0. 263); the area under the ROC curve of PCT predicting death was 0. 716 (P＝0. 001),the area under the ROC curve of CURB-65 predicting death was 0. 679 ( P＝0. 005), and the area under the ROC curve of APACHE II score was 0. 836 (P＝0. 001) ,which was larger than PCT and CRUB-65 (P＜0. 05). The area under ROC curve of death predicted by PCT and CRUB-65 was 0. 775 (P＝0. 001). There was no significant difference between PCT and CRUB-65 and APACHE II (P＝0. 345) . Conclusion PCT combined with CURB-65 score can accurately and rapidly assess the condition of elderly patients with community-acquired pneumonia,and has important application value.

OBJECTIVE: Medical image segmentation is a key step in medical image processing. An architecture of fully convolutional networks was proposed to realize automatic segmentation of anatomical areas in X-ray images. METHODS: Enlightened by the advantages of convolutional neural networks on features extraction, fully convolutional networks consisting of 9 layers were designed to segment medical images. The networks used convolution kernels of various sizes to extract multi-dimensional image features in the images, meanwhile, eliminated pooling layers to avoid the loss of image details during downsampling procedures. RESULTS: The experiment was conducted in accordance with the specific scene of X-ray images segmentation. Compared with traditional segmentation methods, this approach achieved more accurate segmentation of anatomical areas. CONCLUSIONS Fully convolutional networks can extract representative and multidimensional features of medical images, avoid the loss of image details during downsampling procedures, and complete automatic segmentation of anatomical areas accurately in X-ray images.
Algorithms ; Image Processing, Computer-Assisted ; Neural Networks (Computer) ; X-Rays

Treatment position recognition in medical images is a key technique in medical image processing. Due to the excellent performance of convolutional neural networks on features extraction and classification, an architecture of parallel convolutional neural networks is proposed to recognize treatment positions in X-ray images, which uses convolution kernels of different sizes to extract local features of different sizes in these images. The experimental analysis shows that parallel convolution neural networks, which can extract representative image features with more dimensions, are competent to classify and recognize treatment positions in medical images.
Algorithms ; Image Processing, Computer-Assisted ; Neural Networks (Computer) ; X-Rays

Objective: To analyze the expression of programmed death ligand 1 (PD-L1) in patients with advanced lung adenocarcinoma and the consistency of four PD-L1 immunohistochemical detection platforms, with an aim of establishing baseline information to predict and select patients for programmed death 1 (PD-1)/PD-L1 immune inhibitor therapy. Methods: This was a multi-center retrospective study, collecting totally 57 advanced lung adenocarcinoma biopsy specimens from four centers from August 2017 to December 2017.The mean age of 57 patients was 59 (range 34-81) years, and 29 cases were male, 28 cases were female. Four PD-L1 immunohistochemical stains were done for each case, including 22C3 (Dako), 28-8 (Abcam), SP263 (Ventana), and SP142 (Ventana). Among them, 22C3 staining was done using Dako autostainer, and for the other three antibodies, Ventana Ultraview detection system and autostainer was used. The immunohistochemical slides were read by two trained histopathologists in a double-blinded way, and the percentage of PD-L1 positive tumor cells was assessed as <1%, 1%-24%, 25%-49% and more than 50%. Results: The Dako 22C3 was used as the standard. There were eight cases in which the PD-L1 staining was more than 50% (14.0%, 8/57). The staining consistency of tumor cells was higher in 22C3, 28-8 and SP263 (ρ=0.729-0.809). The two scoring doctors had a high degree of concordance in PD-L1 positive tumor cells (ρ=0.707-0.896), and this was most noticeable in 22C3 and SP263. Conclusions 22C3, 28-8 and SP263 show high consistency in tumor cell staining. The study can provide an effective basis for screening for potential patient population that may benefit from immunotherapy.