Objective:To systematically evaluate the correlation between chronic periodontitis and postmenopausal osteoporosis (PMOP).Methods:Electronic searches were conducted on Cochrane Library, Pubmed, Embase, Ovid, CNKI, CBM, VIP, and WF databases to collect research literature on the correlation between chronic periodontitis and PMOP. The Newcastle Ottawa Scale (NOS) criteria were used to evaluate the quality of the included literature, and RevMan 5.3 software was used for meta-analysis. The outcome measures were clinical attachment loss (CAL), probing depth (PD), plaque index (PI), calculus index (CI), bleeding on probing (BOP), and simplified oral hygiene index (OHI-S).Results:A total of 16 articles were included, with a total of 1587 patients. Compared with the postmenopausal non osteoporosis group, the osteoporosis group showed significant abnormalities in CAL [standardized mean difference (SMD)=1.09, 95% CI: 0.62-1.57, P<0.001], PD(SMD=0.71, 95% CI: 0.28-1.14, P<0.001), PI(SMD=0.43, 95% CI: 0.29-0.56, P<0.001), and OHI-S(SMD=0.28, 95% CI: 0.22-0.35, P<0.001) indicators, as well as in BOP(SMD=0.01, 95% CI: -0.48-0.49, P=0.97) and GI(SMD=0.01, 95% CI: -0.48-0.49, P=0.97). At the level of 0.24 and 95% CI: -0.34 to 0.81, P=0.42, there was no statistically significant difference. Conclusions:Women with PMOP exhibit more significant changes in indicators such as CAL, PD, PI, and OHI-S, suggesting that postmenopausal women with osteoporosis are more likely to suffer from periodontitis.

Cervical cancer is a common gynecological malignant tumor. Vaccination with human papilloma virus （HPV） vaccine is of great significance to prevent condyloma acuminatum， HPV infection， and cervical cancer. This paper reviews the epidemic situation and risk factors of cervical cancer， the prevention strategies of cervical cancer， HPV types， HPV vaccine types and mechanisms of action， the safety and effectiveness of vaccines， men’s HPV vaccination， vaccination policies in various countries and so on， and further puts forward suggestions on HPV vaccination policies in China.

【Objective】 To improve the understanding and diagnosis and treatment level of ALK negative anaplastic large cell lymphoma (ALK-ALCL) by sharing the diagnosis and treatment process of a patient with ALK-ALCL treated in Hangzhou Bay Hospital of Ningbo. 【Methods】 The clinical data and diagnosis and treatment process of the patient were retrospectively analyzed, and relevant literature was reviewed. 【Results】 The patient was a young male, with recurrent gross hematuria and right low back pain as the initial symptoms.Imaging examination indicated bladder tumor.After resection, the tumor was reduced and confirmed to be ALK-ALCL.After chemotherapy and autologous hematopoietic stem cell transplantation, the patient’s condition continued to improve.During the follow-up, no recurrence was observed. 【Conclusion】 Primary ALK-ALCL in the bladder is very rare and prone to misdiagnosis and missed diagnosis in clinical practice.The successful diagnosis and treatment experience of this patient can provide clinical reference.

Objective:To investigate the postoperative renal function and oncologic outcomes of cystic renal cell carcinoma with partial nephrectomy,and to compared the single-center data on surgical out-comes with the Surveillance,Epidemiology,and End Results(SEER)database.Methods:This was a retrospective study that included the patients with cystic renal cell carcinoma who underwent partial ne-phrectomy in the Department of Urology,Peking University Third Hospital(PUTH)from 2010 to 2023.The clinical data and depicting baseline characteristics were collected.Renal dynamic imaging and the Chinese Coefficients for Chronic Kidney Disease Epidemiology Collaboration(C-CKD-EPI)formulae were used to calculate the estimated glomerular filtration rate(eGFR).The renal function curves over time were then plotted,and the patients were followed-up to record their survival status.Cases of cystic renal cell carcinoma in the SEER database between 2000 and 2020 were included,propensity score matching(PSM)was performed to balance the differences between SEER cohort and PUTH cohort,and the cancer-specific survival(CSS)curves for both groups were plotted and statistical differences were calcu-lated by the Kaplan-Meier method.Results:A total of 38 and 385 patients were included in the PUTH cohort and SEER cohort,respectively,and 31 and 72 patients were screened in each cohort after PSM.Of the baseline characteristics,only tumor size(P=0.042)was found to differ statistically between the two groups.There was no statistically significant difference between the two cohorts in terms of CSS after PSM(P=0.556).The median follow-up time in the SEER cohort was 112.5(65,152)months and a 10-year survival rate of 97.2％,while the PUTH cohort had a median follow-up of 57.0(20,1 172)months and a 10-year survival rate of 100.0％.There was no statistically significant difference between eGFR determined by preoperative renal dynamic imaging and the results of the C-CKD-EPI formulae based on creatinine estimation(P=0.073).There was a statistically significant difference in eGFR among the preoperative,short-term postoperative,and long-term postoperative(P＜0.001),which was characterized by the presence of a decline in renal function in the short-term postoperative period and the recovery of renal function in the long-term period.Conclusion:Partial nephrectomy for cystic renal cell carcinoma is safe and feasible with favorable renal function and oncologic outcomes.

Objective:To investigate the influencing factors of anastomotic leakage after laparoscopic intersphincter resection (ISR) for extremely low rectal cancer and construction of nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 812 patients who underwent laparoscopic ISR for extremely low rectal cancer in the Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital) from February 2012 to February 2022 were collected. There were 459 males and 353 females, aged (51±11)years. Observation indicators: (1) surgical situations; (2) follow-up; (3) influencing factors of postoperative anastomotic leakage; (4) construction and evaluation of nomogram prediction model for postoperative anastomotic leakage. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. The COX proportional hazard model was used for univariate and multivariate analyses. The R software(3.5.1 version) was used to construct nomogram prediction model. The receiver operating characteristic (ROC) curve was drawn and the area under curve (AUC) was used to evaluate the efficacy of the nomogram prediction model. The Bootstrap method was used for internal verification and to calculate the average consistency index (C-index). Results:(1) Surgical situations. All 812 patients underwent laparoscopic ISR for extremely low rectal cancer, including 388 cases undergoing partial ISR, 218 cases undergoing subtotal ISR and 206 cases undergoing complete ISR. All 812 patients underwent ileal protective ostomy, and there were 306 cases with double anastomosis and 203 cases with left colic artery preserved, respectively. The operation time and volume of intraoperative blood loss of 812 patients was (179±33)minutes and (33±13)mL, respectively. (2) Follow-up. All 812 patients were followed up for (13.5±0.9)months. Of the 812 patients, there were 62 cases with postoperative anastomotic leakage and the healing time of these cases was (33±6)days. (3) Influencing factors of postoperative anastomotic leakage. Results of multivariate analysis showed that male, neoadjuvant chemoradiotherapy, failure of reser-ving left colic artery were independent risk factors of anastomotic leakage after laparoscopic ISR for extremely low rectal cancer ( hazard ratio=5.98, 4.00, 16.26, 95% confidence interval as 1.66-24.12, 1.30-12.42, 3.00-90.89, P<0.05). (4) Construction and evaluation of nomogram prediction model for postoperative anastomotic leakage. According to the results of multivariate analysis, male, neoadju-vant chemoradiotherapy and failure of reserving left colic artery were used to construct the nomogram prediction model for anastomotic leakage after laparoscopic ISR for extremely low rectal cancer, and the score of these indexes in the nomogram prediction model was 50, 49, 93, respectively. The total score of these index corresponded to the incidence rate of anastomotic leakage. Results of ROC curve showed that the AUC of nomogram prediction model of anastomotic leakage after laparoscopic ISR for extremely low rectal cancer was 0.87 (95% confidence interval as 0.80-0.93, P<0.05), with sensi-tivity and specificity 0.96 and 0.60, respectively. Results of internal verification showed that the C-index of nomogram prediction model was 0.87. Conclusion:Male, neoadjuvant chemoradiotherapy, failure of reserving left colic artery are independent risk factors of anastomotic leakage after laparo-scopic ISR for extremely low rectal cancer, and the nomogram prediction model based on these indexes can predict the incidence rate of postoperative anastomotic leakage.

Objective:To investigate the construction and application value of a nomogram predictive model for the prognosis of rectal cancer liver metastases based on Surveillance, Epidemio-logy, and End Results (SEER) database.Methods:The retrospective cohort study was conducted. The clinicopathological data of 6 192 patients with rectal cancer liver metastases in the SEER database ( http://seer.cancer.gov/) and 312 patients who were admitted to The Second Affiliated Hospital of Naval Medical University January 2010 to December 2016 were collected. Of 6 192 patients, there were 3 592 males and 2 600 cases. There were 1 076 cases with age lower than 50 years, 2 862 cases with age as 50-69 years, 2 254 cases with age equal to or more than 70 years, respectively. Of 312 pati-ents, there were 177 males and 135 cases. There were 51 cases with age lower than 50 years, 155 cases with age as 50-69 years, 109 cases with age equal to or more than 70 years, respectively. Patients of the SEER database were set as the training set, and patients in The Second Affiliated Hospital of Naval Medical University were set as the validation set. Univariate and multivariate COX proportional hazards regression models were used to analyze risk factors associated with prognosis, and construct and verify the accuracy of nomogram predictive model for the prognosis of rectal cancer liver metas-tasis. The training set were used to construct the nomogram prediction model, and the validation set were used to verify its performance. Observation indicators: (1) prognostic factors analysis in patients with rectal cancer liver metastases; (2) construction and verificative of the predictive model for the prognosis of rectal cancer liver metastasis. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was analyzed using the rank sum test. The COX regression model was used for univariate and multivariate analyses. Kaplan-Meier method was used to calculate survival rates, and Log-Rank test was used for survival analysis. Results:(1) Prognostic factors analysis in patients with rectal cancer liver metastases. Results of multivariate analysis showed that age >50 years, TNM Ⅱ-Ⅳ stage, stage T3-T4, stage N1-N2, the number of lymph nodes dissected <12, tumor diameter >5.1 cm, positive carcinoembryonic antigen, peripheral nerve infiltration, radiotherapy and adjuvant chemotherapy, poorly differentiated or undifferented tumor were independent prognostic factors of patients ( P<0.05). (2) Construction and verification of the predictive model for the prognosis of rectal cancer liver metastasis. A nomogram predictive model for the prognosis of rectal cancer liver metastasis was constructed based in the multivariate analysis. The C-index of the nomogram predictive model was 0.91, with area under the curve as 0.726, indicating a good discriminant ability. Results of the calibration curve in validation dataset showed that the colorectal cancer survival rate predicted by the nomogram predictive model was consistent with the actual survival rate. Conclusion:The nomogram predictive model can accurately predict the survival probability of patients with rectal cancer liver metastases.

Objective:To investigate the clinical, pathologic and radiologic features and molecular alterations in patients with primary cardiac leiomyosarcoma (PCLMS).Methods:Five cases of PCLMS were collected in Beijing Anzhen Hospital from January 2016 to December 2020. The clinical, pathologic and radiologic data, and molecular alterations were analyzed, and the patients were followed up.Results:All five patients were female, and had no history of leiomyosarcoma in other parts of the body. The age of patients ranged from 37 to 62 years (median 47 years). The main clinical symptoms were chest pain and dyspnea, one also presented with palpitation and lower limb weakness and one with dizziness. Two tumors were located in the left atrium, two in the right atrium, and one in the right ventricle, and they maximal diameter ranged from 2.5 to 14.0 cm (mean 6.2 cm). The neoplasms presented as medium-echo masses with a broad base in the echocardiography, and as a low-density, solid mass when detected by contrast-enhanced CT. Histologically, two tumors were well-differentiated and three were moderately and poorly differentiated, and two included extensive, loose myxoid stroma. Immunohistochemical staining showed that PCLMS was positive for SMA, desmin, MDM2, and epidermal growth factor receptor. Fluorescence in situ hybridization showed ALK gene rearrangement in two cases, and COL1A1-PDGFB fusion in three cases. All cases received surgical excision and two cases received chemotherapy. Three patients died within 0-11 months (mean survival of 7.7 months) and two patients were alive.Conclusions:PCLMS is a malignant tumor with a high recurrence rate and poor prognosis. These cases may provide useful information to improve the diagnosis and management of PCLMS.

FLASH radiotherapy (FLASH-RT) is a treatment modality that delivers ultra-high dose rate and ultra-fast radiation for cancer treatment. Compared to conventional dose rate radiotherapy, FLASH-RT can yield similar efficacy for tumors and achieve normal tissue protection, translating to an increased therapeutic window. Due to this unique feature, FLASH-RT is attracting increasing attention from the radiotherapy community, both academia and industry. Due to its unique Bragg peak as well as intrinsic high dose rate, application of FLASH has more value and profound significance in proton therapy while achieving highly conformal dose deposition simultaneously. This article reviews research progress on FLASH-RT, relevant cell and animal studies, experimental conditions and results. Moreover, this article also investigates the potential biological mechanisms, technical challenges for implementation and potential clinical applications of FLASH-RT.

Objective:To investigate the value of deep learning in classifying non-inflammatory aortic membrane degeneration.Methods:Eighty-nine cases of non-inflammatory aortic media degeneration diagnosed from January to June 2018 were collected at Beijing Anzhen Hospital, Capital Medical University, China and scanned into digital sections. 1 627 hematoxylin and eosin stained photomicrographs were extracted. Combined with the ResNet18-based deep convolution neural network model, 4-category classification of pathological images were performed to diagnose the non-inflammatory aortic lesion.Results:The prediction model of artificial intelligence assisted diagnosis had the best accuracy, sensitivity and precision in identifying lesions with smooth muscle cell nuclei loss, which were 99.39%, 98.36% and 98.36%, respectively. The classification accuracy of elastic fiber fragmentation and/or loss lesions was 98.08%, while that of intralamellar mucoid extracellular matrix accumulation lesions was 96.93%. The overall accuracy of the classification model was 96.32%, and the area under the curve was 0.982.Conclusions:The accuracy of deep learning neural network model in the 4-category classification of non-inflammatory aortic lesionsis confirmed based on digital photomicrographs. This method can effectively improve the diagnostic efficiency of pathologists.

BACKGROUND: Circulating tumor cells (CTC) play an important role in the screening and prognosis of lung cancer, but the low efficiency and specificity of CTC isolation obviously restrict its clinical application. The purpose of this study is to explore a new and efficient isolation method of CTC in patients with non-small cell lung cancer (NSCLC) in order to achieve the purpose of early diagnosis of NSCLC. METHODS: Three kinds of immunolipid magnetic spheres of epidermal growth factor receptor (EGFR), vimentin and folic acid (FA) were prepared by thin film method. After characterization, the sorting scheme of cell line was explored, the optimal sorting scheme of NSCLC CTC was constructed, and its clinical application value was studied. RESULTS: The average capture efficiency of EGFR, Vimentin and FA magnetic spheres used alone and in combination to lung cancer cell lines was 78%, 79%, 82% and 91%, respectively. In 60 patients with lung cancer, using 2 CTC per 7.5 mL blood as cutoff value, the positive rates of EGFR, Vimentin and FA magnets used alone and in combination were 65.0%, 33.3%, 93.3% and 100%, respectively. It was also found that the number of CTC detected by combined use of the three magnetic spheres was correlated with clinical stages (P<0.05). CONCLUSIONS The combination of three kinds of magnetic spheres can separate EGFR+, Vimentin+, FA+ expressed CTC, which is beneficial to the downstream analysis of CTC correlation. This study provides a new method to improve the efficiency of NSCLC CTC capture, and verifies that the captured CTC counting method can be used in the auxiliary diagnosis of lung cancer.