In the past decade, breast pathology in China has made significant progress in diagnostic standards, technological applications, scientific research, and discipline development. The histopathological diagnostic system has been continuously refined, with the implementation of relevant guidelines and expert consensus enhancing standardization and reproducibility of diagnostic results. Immunohistochemistry and molecular testing technologies have become increasingly sophisticated, with emerging biomarkers such as low HER2 expression and PIK3CA mutations gradually integrated into clinical decision-making, promoting the advancement of precision therapy. The application of digital pathology and image-assisted analysis has steadily expanded, providing new tools to improve diagnostic efficiency and consistency. The national breast pathology group has actively advanced the development of tiered diagnostic systems, workforce training, and public education, effectively strengthening diagnostic capabilities at the grassroots level. Looking ahead, the integration of multidimensional data, optimization of auxiliary diagnostic systems, and interdisciplinary collaboration are expected to drive the continued development of breast pathology in China.

With the in-depth promotion of precision medicine for breast cancer,pathological diagnosis has changed from traditional histological classification to a multidimensional system integrating morphology,immunohistochemistry and molecular target detection,and becoming a pivotal component in clinical treatment decision-making.Currently,the pathological diagnosis of breast cancer necessitates continuous optimization,including standardizing the interpretation of HER2-low expression,promoting the upfront detection for key targets,refining the structure of pathological reports,and further enhancing collaboration with clinical teams.These efforts aim to better meet the demands of precision treatment and provide patients with superior diagnostic support.Based on the clinical research progress and guideline consensus in recent years,this paper delves into the critical pathological hotspots in the clinical diagnosis and treatment of breast cancer,aiming to facilitate the implementation of standardized pathological diagnosis within the precision treatment framework.

Purpose This study aimed to evaluate the consistency of human epidermal growth factor receptor 2(HER2)status between primary breast cancer lesions and lung metastatic lesions and to establish a prognostic model for predicting the survival rate of HER2 low expression(HER2-low)breast cancer patients with lung metastasis.Methods Clinicopathological data from a cohort of 252 patients with breast cancer and lung metastasis were retrospec-tively analyzed.Results 50.00％of the patients had HER2-low expression in metastatic lesions,and HER2-low ex-pression was the most prevalent subgroup in both primary and metastatic lesions.A discordance in HER2 status be-tween primary and metastatic sites was observed in 28.07％of cases.The most frequent shift was from HER2-zero in the primary tumor to HER2-low expression in the metastasis(12.28％of all cases).Estrogen receptor(ER)status,menopausal status,and histological type were identified as independent prognostic factors for overall survival(OS)by univariate and multivariate Cox regression analyses.A prognostic model incorporating these factors was constructed to predict 3-year and 5-year survival.The model demonstrated area under the curve(AUC)values of 0.765 and 0.780 for 3-year and 5-year OS in the training cohort,and 0.667 and 0.706 in the validation cohort,respectively.Conclu-sion HER2-low expression is the most common subtype among breast cancer patients with lung metastasis.The ob-served shift from HER2-zero in primary lesions to HER2-low in metastases underscores the clinical necessity of re-biop-sy at metastatic sites.The developed prognostic model effectively predicts OS in this patient population.

With the in-depth promotion of precision medicine for breast cancer,pathological diagnosis has changed from traditional histological classification to a multidimensional system integrating morphology,immunohistochemistry and molecular target detection,and becoming a pivotal component in clinical treatment decision-making.Currently,the pathological diagnosis of breast cancer necessitates continuous optimization,including standardizing the interpretation of HER2-low expression,promoting the upfront detection for key targets,refining the structure of pathological reports,and further enhancing collaboration with clinical teams.These efforts aim to better meet the demands of precision treatment and provide patients with superior diagnostic support.Based on the clinical research progress and guideline consensus in recent years,this paper delves into the critical pathological hotspots in the clinical diagnosis and treatment of breast cancer,aiming to facilitate the implementation of standardized pathological diagnosis within the precision treatment framework.

Purpose This study aimed to evaluate the consistency of human epidermal growth factor receptor 2(HER2)status between primary breast cancer lesions and lung metastatic lesions and to establish a prognostic model for predicting the survival rate of HER2 low expression(HER2-low)breast cancer patients with lung metastasis.Methods Clinicopathological data from a cohort of 252 patients with breast cancer and lung metastasis were retrospec-tively analyzed.Results 50.00％of the patients had HER2-low expression in metastatic lesions,and HER2-low ex-pression was the most prevalent subgroup in both primary and metastatic lesions.A discordance in HER2 status be-tween primary and metastatic sites was observed in 28.07％of cases.The most frequent shift was from HER2-zero in the primary tumor to HER2-low expression in the metastasis(12.28％of all cases).Estrogen receptor(ER)status,menopausal status,and histological type were identified as independent prognostic factors for overall survival(OS)by univariate and multivariate Cox regression analyses.A prognostic model incorporating these factors was constructed to predict 3-year and 5-year survival.The model demonstrated area under the curve(AUC)values of 0.765 and 0.780 for 3-year and 5-year OS in the training cohort,and 0.667 and 0.706 in the validation cohort,respectively.Conclu-sion HER2-low expression is the most common subtype among breast cancer patients with lung metastasis.The ob-served shift from HER2-zero in primary lesions to HER2-low in metastases underscores the clinical necessity of re-biop-sy at metastatic sites.The developed prognostic model effectively predicts OS in this patient population.

In the past decade, breast pathology in China has made significant progress in diagnostic standards, technological applications, scientific research, and discipline development. The histopathological diagnostic system has been continuously refined, with the implementation of relevant guidelines and expert consensus enhancing standardization and reproducibility of diagnostic results. Immunohistochemistry and molecular testing technologies have become increasingly sophisticated, with emerging biomarkers such as low HER2 expression and PIK3CA mutations gradually integrated into clinical decision-making, promoting the advancement of precision therapy. The application of digital pathology and image-assisted analysis has steadily expanded, providing new tools to improve diagnostic efficiency and consistency. The national breast pathology group has actively advanced the development of tiered diagnostic systems, workforce training, and public education, effectively strengthening diagnostic capabilities at the grassroots level. Looking ahead, the integration of multidimensional data, optimization of auxiliary diagnostic systems, and interdisciplinary collaboration are expected to drive the continued development of breast pathology in China.

Objective:To evaluate the effect of workshop-based incontinence associated dermatitis (IAD) training course for geriatric nurse specialists, and to provide references and evidence for the application of workshop teaching model in specialized nursing training.Methods:The convenience sampling method was used to select 40 participants in the 9th Chongqing Geriatric Nurse Specialist Training Program in May 2021 as the intervention group, and IAD training was conducted using the workshop method. The 42 participants in the 8th Chongqing Geriatric Nurse Specialist Training Program in May 2020 were selected as the control group, who received IAD training through traditional teaching methods. After the training, the achievement of teaching objectives and teaching satisfaction were compared between the two groups using questionnaire survey, and IAD nursing knowledge and attitudes were compared using scales. SPSS 27.0 was used for the t-test and chi-square test. Results:The questionnaire survey showed that the intervention group achieved higher teaching objectives in all dimensions compared to the control group ( P<0.05). Compared with the control group, the intervention group had higher scores in teaching satisfaction regarding teaching format, interest in learning, practical skills, theoretical understanding, integration of theory and practice, and problem-solving abilities ( P<0.05). Compared with the control group, the intervention group demonstrated significantly higher scores in IAD nursing knowledge [(11.32±1.56) vs. (9.02±2.26), P<0.05] and attitudes [(37.63±3.54) vs. (32.81±2.97), P<0.05]. Conclusions:The workshop training has been highly recognized by the trainees, contributing to improved implementation effectiveness of teaching, enhancing the scores of IAD nursing knowledge and attitudes. This approach offers a new perspective for training with a practical focus in the specialized nursing field.

【Objective】 To evaluate and analyze the impact of COVID-19 epidemic on inventory of red blood cells (RBCs)in local and municipal blood stations in China, and to provide reference for the management of public health emergencies. 【Methods】 Relevant data from 2018 to 2021 were collected, and the differences in the volume of qualified RBCs, the usage efficiency of inventory RBCs, the average daily distribution of RBCs,the blood distribution rate of RBCs prepared by 400 mL whole blood, the difference in the average storage days of RBCs at the time of distribution, the average daily inventory of RBCs and the time of the average daily inventory of RBCs to maintain the distribution in 24 local and municipal blood stations in China during the COVID-19 epidemic and non-epidemic periods were retrospectively analyzed. 【Results】 Compared with non-epidemic periods, the volume of qualified RBCs [(117 525.979 ±52 203.175)U] and the average daily distribution of RBCs [( 156. 468 ± 70. 186) U ] increased significantly, but the usage efficiency of inventory RBCs decreased(97.24%±0.51%) significantly (P<0.05).There was no significant difference in the blood distribution rate of RBCs prepared by 400 mL whole blood(73.88%±20.30%), the average storage days of RBCs distribution(13.040 ±3.486), the average daily stock quantity of RBCs[(2 280.542 ±1 446.538) U ] and the time of the average daily inventory of RBCs to maintain the distribution[(15.062 ±7.453) d] (P>0.5). 【Conclusion】 During the COVID-19 epidemic, the inventory management of RBCs operated well, the overall inventory remained relatively stable, the stock composition and storage period showed no significant change.

Objective:To investigate the application effect of virtual simulation combined with flipped classroom in experimental teaching of the nursing care of falls in the elderly.Methods:The 497 nursing undergraduates in the class of 2019 in Chongqing Medical University were selected as subjects and were then divided into control group (two classes with 251 students) and intervention group (two classes with 246 students). The students in the control group received traditional experimental teaching, and those in the intervention group received blended experimental teaching with virtual simulation combined with flipped classroom. At the end of the course, the use of virtual simulation platform was analyzed for the students in the intervention group, and a questionnaire survey and theoretical examination were used to compare the effect of experimental teaching between the two groups. SPSS 27.0 was used for the t-test and the chi-square test. Results:The frequency of use of the virtual simulation platform was (2.65±1.38) times per person in the intervention group, with an online learning time of 54.12-147.32 minutes. The questionnaire survey showed that compared with the control group, the intervention group had significantly higher scores of the achievement of teaching objectives and teaching satisfaction ( P<0.05). Compared with the control group after teaching, the intervention group had significantly higher scores of teaching promotion in terms of stimulating learning interest, cultivating self-learning ability, developing clinical thinking ability, improving innovation, and enhancing health education ability ( P<0.05). The intervention group had a significantly higher theoretical examination score than the control group [(79.38±5.09) vs. (77.88±4.97), P<0.05]. Conclusions:In the blended experimental teaching of the nursing care of falls in the elderly, virtual simulation combined with flipped classroom can help students master related knowledge and skills and cultivate their self-learning ability, clinical thinking ability, innovation ability, and health education ability.

Objective:To investigate the application of sentinel lymph node biopsy (SLNB) in early-staged cervical cancer by laparoscopy.Methods:It was a prospective, single-arm, single-center clinical study. Seventy-eight cases of cervical cancer patients were collected from July 2015 to December 2018 at the Fourth Hospital of Hebei Medical University. All the patients were injected with tracer into the disease-free block of cervical tissue after anesthesia by the same surgeon who learned sentinel lymph node (SLN) mapping technique in Memorial Sloan-Kettering Cancer Center, and underwent SLN mapping followed by complete pelvic lymphadenectomy. Moreover, all the dissected lymph nodes were stained with hematoxylin eosin staining (HE) pathological examination. Besides, the negative SLN on hematoxylin-eosin staining were detected by immunohistochemistry cytokeratin staining micro-metastasis. To analyze the distribution, detection rate, false negative rate the sensitivity and negative predictive value of the SLN in early-staged cervical cancer by laparoscopy, and explore the value of SLN mapping in predicting the lymph nodes metastasis in early-staged cervical cancer.Results:The overall detection rate of SLN in cervical cancer was 99% (77/78), bilateral detection rate was 87% (68/78). The average of 12.4 lymph node (LN) and 3.6 SLN were dissected for each patients each side. SLN of cervical cancer were mainly distributed in the obturator space (61.5%, 343/558), followed by external iliac (23.5%, 131/558), common iliac (7.3%, 41/558), para-uterine (3.8%, 21/558), internal iliac (2.2%, 12/558), para abdominal aorta (1.1%, 6/558), and anterior sacral lymphatic drainage area (0.7%, 4/558). Fourteen cases of LN metastasis were found among all 78 cases. There were a total of 38 positive LN, including 26 SLN metastasis and 12 none sentinel LN metastasis. Through immunohistochemical staining and pathological ultra-staging, 1 SLN was found to be isolated tumor cells (ITC), and 5 SLNs were found to be micro-metastases (MIC), accounting for 23% (6/26) of positive SLN. SLN mapping with pathological ultra-staging improved the prediction of LN metastasis in cervical cancer (2/14). Metastatic SLN mainly distributed in the obturator space (65%, 17/26), peri-uterine region (12%, 3/26), common iliac region (15%, 4/26), and external iliac region (8%, 2/26). The consistency of the diagnosis of lymph node metastasis by SLN biopsy and postoperative retroperitoneal lymph node metastasis showed that the Kappa value was 1.000 ( P<0.001), indicated that the metastasis status of SLN and retroperitoneal lymph node were completely consistent. The sensitivity, specificity, accuracy, false-negative rate, and negative predictive value of SLN biopsy in the diagnosis of lymph node metastasis were 100%, 100%, 100%, 0, and 100%, respectively. Conclusions:SLN in early-staged cervical cancer patients were mainly distributed in the obturator and external iliac space, pathalogical ultra-staging of SLN could improve the prediction of LN metastasis. Intraoperative SLN mapping is safe, feasible and could predict the state of retroperitoneal LN metastasis in early-staged cervical cancer. SLNB may replace systemic pelvic lymphadenectomy.