120 cases were treated by microlaryngoscopic surgery alone from March to December 1985. Among them, 73 cases were polypoid cord, 28 cases vocal cord nodule, and 19 cases of other conditions. The immediate curative results were good in 114 cases, 5 cases fair and only 1 case was poor. The postoperative complications are: dentes primoris moving in 2 cases and aerodermectasia in 1 case. The operation method is very satisfactory through an endotracheal tube without laryngeal injury. It can accomplish the unsuccessful operation done by mirior, direct and fibrous laryngoscopy surgery. The patients were under general anesthesia by an endotracheal tube without any pain or anxiety and can obtain good relaxation. The authors wish to recommend this technique to treat the related laryngeal disease.

With the rapid development of artificial intelligence technology, the research and application of image segmentation technology in the field of radiotherapy for rectal cancer have captivated increasing attention. Neoadjuvant chemoradiotherapy followed by radical surgery is the standard treatment for patients with locally advanced rectal cancer. Manual delineation of radiotherapy targets and organs at risk is a time-consuming and laborious task. Developing an automatic delineation model of radiotherapy targets using artificial intelligence can significantly improve the efficiency and robustness of target delineation. In addition, combined with radiomics methods, based on computed tomography (CT), magnetic resonance imaging (MRI), extracting radiation features from rectal tumor can build a model for efficacy evaluation and prediction of neoadjuvant therapy, which can help clinicians formulate individualized treatment regimens. Segmenting the region of interest (ROI) and extracting radiation features is a key step in model construction. This article will review the application of image segmentation in the field of radiotherapy for rectal cancer, aiming to explore the importance of image segmentation in radiotherapy for rectal cancer and future research directions.

【Objective】 To analyze differences of eplets between the patient who generated HLA allele-specific antibodies after platelet transfusion with donors. 【Methods】 The HLA genotypes of the patient and donors were detected by PCR-SBT, and the Luminex single antigen beads coating was used to screen HLA-Ⅰ antibodies in the patient’s serum. HLA Matchmaker was utilized to analyze different amino acids and eplets. 【Results】 The patient carried HLA-A^*02∶03 allele, and HLA-A2 antibodies were found in his serum after platelet transfusion (A^*02∶01, A^*02∶06, and A^*02∶07). Sequence alignment showed that the patient′s A^*02∶03 has a difference in position 149, which resulted in a different eplet between A^*02∶03 and A^*02∶01, A^*02∶06, A^*02∶07 and then induced the production of antibodies. 【Conclusion】 HLA antibodies are specific for HLA epitopes that have structural differences due to amino acid differences between HLA alleles, suggesting that high-resolution typing of HLA-A, -B need to be conducted in patients and donors, and the acceptable mismatch of HLA should be determined based on epitopes rather than antigens, so as to reduce alloimmune response and improve platelet count after transfusion.

OBJECTIVE: To evaluate the effect of clinical nursing pathway(CNP) on clinical nursing of patients with pneumoconiosis. METHODS: A total of 120 patients with pneumoconiosis were selected as the subjects by the judgment sampling method. The patients were divided into control group and observation group by random number table method, with 60 cases in each group. The patients in the control group were given routine treatment and nursing after admission, while the patients in the observation group were treated similarly to that of the control group plus CNP. The treatment of patients in both groups were carried out until they were discharged from hospital. General Self-Efficacy Scale, Medical Coping Style Questionnaire and Quality of Life Scale were used to measure the self-efficacy, coping style and of quality of life of these two groups before and after the implementation of CNP. RESULTS: Before the implementation of CNP, there was no significant difference in the scores of self-efficacy, three dimensions of coping style and four dimensions quality of life between the two groups(P>0.05). After the implementation of CNP, the scores of self-efficacy, face dimension and quality of life in the observation group were higher than those in the control group(P<0.01). The scores of surrender and avoidance dimensions decreased(P<0.01). CONCLUSION: The implementation of CNP can improve the self-efficacy, coping style and quality of life of pneumoconiosis patients.