OBJECTIVETo investigate the predictive factors affecting sentinel lymph node status in early breast cancer patients.

METHODSClinicopathological data of 1 038 patients with early breast cancer, who underwent sentinel lymph node biopsy in Henan Tumor Hospital between July 2010 and August 2013, were reviewed. Logistic regression analysis was performed to identify the relevance of clinicopathological features with sentinel lymph node metastases.

RESULTSThis group was consisted of 1 038 female patients with an average of 48.6 years. Positive sentinel lymph nodes were found in 22.9% (238/1 038) of the patients. The average number of sentinel lymph nodes removed by surgery was 3.8. Tumor size, tumor location, histopathology, ER/PR status and Ki-67 level were significantly correlated with SLN metastasis(P < 0.05 for all). All the above factors but Ki-67 level were significant independent predictors for SLN metastasis(P < 0.01 for all).

CONCLUSIONNegative hormone receptor status, invasive cancer of non-specific histopathological type, tumor size >2 cm, and tumor location in the outer upper quadrat are independent predictive factors of sentinel lymph node metastasis in patients with early breast cancer.

Adult ; Aged ; Aged, 80 and over ; Breast Neoplasms ; metabolism ; pathology ; surgery ; Carcinoma, Ductal, Breast ; metabolism ; pathology ; surgery ; Female ; Humans ; Ki-67 Antigen ; metabolism ; Lymph Node Excision ; Lymph Nodes ; pathology ; Lymphatic Metastasis ; Middle Aged ; Neoplasm Staging ; Receptors, Estrogen ; metabolism ; Receptors, Progesterone ; metabolism ; Retrospective Studies ; Sentinel Lymph Node Biopsy ; Tumor Burden ; Young Adult

With the rapid development of artificial intelligence technology, researchers have applied it to the diagnosis of various tumors in the urinary system in recent years, and have obtained many valuable research results. The article sorted the research status of artificial intelligence technology in the fields of renal tumors, bladder tumors and prostate tumors from three aspects: the number of papers, image data, and clinical tasks. The purpose is to summarize and analyze the research status and find new valuable research ideas in the future. The results show that the artificial intelligence model based on medical data such as digital imaging and pathological images is effective in completing basic diagnosis of urinary system tumors, image segmentation of tumor infiltration areas or specific organs, gene mutation prediction and prognostic effect prediction, but most of the models for the requirement of clinical application still need to be improved. On the one hand, it is necessary to further improve the detection, classification, segmentation and other performance of the core algorithm. On the other hand, it is necessary to integrate more standardized medical databases to effectively improve the diagnostic accuracy of artificial intelligence models and make it play greater clinical value.
Algorithms ; Artificial Intelligence ; Humans ; Male ; Prognosis ; Prostatic Neoplasms/diagnosis* ; Technology

OBJECTIVE: To design and construct a graphene oxide (GO)/silver nitrate (Ag₃PO₄)/chitosan (CS) composite coating for rapidly killing bacteria and preventing postoperative infection in implant surgery. METHODS: GO/Ag₃PO₄ composites were prepared by ion exchange method, and CS and GO/Ag₃PO₄ composites were deposited on medical titanium (Ti) sheets successively. The morphology, physical image, photothermal and photocatalytic ability, antibacterial ability, and adhesion to the matrix of the materials were characterized. RESULTS: The GO/Ag₃PO₄ composites were successfully prepared by ion exchange method and the heterogeneous structure of GO/Ag₃PO₄ was proved by morphology phase test. The heterogeneous structure formed by Ag₃PO₄ and GO reduced the band gap from 1.79 eV to 1.39 eV which could be excited by 808 nm near-infrared light. The photothermal and photocatalytic experiments proved that the GO/Ag₃PO₄/CS coating had excellent photothermal and photodynamic properties. In vitro antibacterial experiments showed that the antibacterial rate of the GO/Ag₃PO₄/CS composite coating against Staphylococcus aureus reached 99.81% after 20 minutes irradiation with 808 nm near-infrared light. At the same time, the composite coating had excellent light stability, which could provide stable and sustained antibacterial effect. CONCLUSION GO/Ag₃PO₄/CS coating can be excited by 808 nm near infrared light to produce reactive oxygen species, which has excellent antibacterial activity under light.
Chitosan ; Silver Nitrate ; Titanium ; Anti-Bacterial Agents/pharmacology* ; Coloring Agents