Unsupervised underwater shipwreck detection in side-scan sonar images based on domain-adaptive techniques.

Underwater object detection based on side-scan sonar (SSS) suffers from a lack of finely annotated data. This study aims to avoid the laborious task of annotation by achieving unsupervised underwater object detection through domain-adaptive object detection (DAOD). In DAOD, there exists a conflict between feature transferability and discriminability, suppressing the detection performance. To address this challenge, a domain collaborative bridging detector (DCBD) including intra-domain consistency constraint (IDCC) and domain collaborative bridging (DCB), is proposed. On one hand, previous static domain labels in adversarial-based methods hinder the domain discriminator from discerning subtle intra-domain discrepancies, thus decreasing feature transferability. IDCC addresses this by introducing contrastive learning to refine intra-domain similarity. On the other hand, DAOD encourages the feature extractor to extract domain-invariant features, overlooking potential discriminative signals embedded within domain attributes. DCB addresses this by complementing domain-invariant features with domain-relevant information, thereby bolstering feature discriminability. The feasibility of DCBD is validated using unlabeled underwater shipwrecks as a case study. Experiments show that our method achieves accuracy comparable to fully supervised methods in unsupervised SSS detection (92.16% AP50 and 98.50% recall), and achieves 52.6% AP50 on the famous benchmark dataset Foggy Cityscapes, exceeding the original state-of-the-art by 4.5%.

Triterpenoids from the leaves of Eleutherococcus sessiliflorus, and their antiproliferative activities in TNF-α induced HFLS-RA cells.

Five undescribed elesesterpenes L-U, along with nine known 3,4-seco-lupane-type triterpenoids were isolated from the leaves of Eleutherococcus sessiliflorus (Rupr. & Maxim.) S. Y. Hu. Elesesterpene L-S, and U were lupane-type triterpenoids, whereas elesesterpene T was an oleanane-type triterpenoid, probably artifact, as suggested by LC-MS analysis. Out of the nine known compounds, five were initially identified in E. sessiliflorus. Moreover, their structures were definitively determined using spectroscopic analyses, and the absolute configurations of elesesterpenes L-M and sachunogenin 3-O-glucoside were clarified using X-ray crystallographic techniques. The absolute configuration of elesesterpene T was determined by measuring and calculating its ECD. In addition, all compounds were tested to examine their ability to inhibit the proliferation of HFLS-RA cells induced by TNF-α in vitro. Elesesterpene M, chiisanogenin, chiisanoside, and 3-methylisochiisanoside significantly inhibited HFLS-RA proliferation.

CCDet: Confidence-Consistent Learning for Dense Object Detection.

Modern detectors commonly employ classification scores to reflect the localization quality of detection results. However, there exists an inconsistency between them, misguiding the selection of high-quality predictions and providing unreliable results for downstream applications. In this paper, we find that the root of this confidence inconsistency lies in the inaccurate IoU estimation and the spatial misalignment of the learned features between the classification and localization tasks. Therefore, a Confidence-Consistent Detector (CCDet) which includes the Distribution-based IoU Prediction (DIP) and Consistency-aware label assignment (CLA), is proposed. DIP provides more stable and accurate IoU estimation by learning the probability distribution over the IoU range and employing the expectation as the predicted IoU. CLA adopts both the prediction performance and consistency degree of samples as assignment metrics to select positives, which guides the classification and localization tasks to promote similar feature distribution. Comprehensive experiments demonstrate that CCDet can effectively mitigate the confidence inconsistency between classification and localization, and achieve stable improvement across different baselines. On the test-dev set of MS COCO, CCDet acquires a single-model single-scale AP of 50.1%, surpassing most of the existing object detectors.

Machine learning-based endoplasmic reticulum-related diagnostic biomarker and immune microenvironment landscape for osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is the most common degenerative joint disease worldwide. Further improving the current limited understanding of osteoarthritis has positive clinical value. METHODS: OA samples were collected from GEO database and endoplasmic reticulum related genes (ERRGs) were identified. The WGCNA network was further built to identify the crucial gene module. Based on the expression profiles of characteristic ERRGs, LASSO algorithm was used to select key factors according to the minimum λ value. Random forest (RF) algorithm was used to calculate the importance of ERRGs. Subsequently, overlapping genes based on LASSO and RF algorithms were identified as ERRGs-related diagnostic biomarkers. In addition, OA specimens were also collected and performed qRT-PCR quantitative analysis of selected ERRGs. RESULTS: We identified four ERRGs associated with OA risk assessment through machine learning methods, and verified the abnormal expressions of these screened markers in OA patients through in vitro experiments. The influence of selected markers on OA immune infiltration was also evaluated. CONCLUSIONS: Our results provide new evidence for the role of ER stress in the OA progression, as well as new markers and potential intervention targets for OA.

Human Umbilical Cord Mesenchymal Stem Cells Alleviate Chronic Salpingitis by Modulating Macrophage-Associated Inflammatory Factors.

INTRODUCTION: Mesenchymal stem cells (MSCs) have been widely studied because of their established anti-inflammatory properties. During chronic salpingitis (CS), infiltrated macrophages have vital roles in inflammation and tissue remodeling. METHODS: We employed the type of MSCs, human umbilical cord (huc) MSCs in an experimental CS model and therapeutic efficacy was assessed. hucMSCs exerted this therapeutic effect by regulating macrophage function. To verify the regulatory effects of hucMSCs on the macrophage, macrophage line RAW264.7 markers were analyzed under LPS stimulation with or without co-culturing with hucMSCs for 12h and 24h. In addition, flow cytometry analysis was applied to reveal the interaction of co-culture. For animal studies, CS was induced by the MoPn strain Chlamydia trachomatis(CT), hucMSCs were intravaginally injected in the CS, and we analyzed the infiltrated macrophage by immunofluorescence. RESULTS: We found the markers IL-10 was markedly increased and IL-1ß, caspase-1 was notably downregulated after co-culturing with hucMSCs by RT-PCR. hucMSCs promote macrophage line RAW264.7 apoptosis. We also found that hucMSCs treatment can alleviate CS by decreasing the mRNA expression of IL-1ß, caspase-1 and MCP-1 in the tubal tissue by RT-PCR and decreasing the protein expression of IL-1ß, caspase-1 and TGF-ß by western blotting. CONCLUSION: These results suggest that macrophage function may be related to the immune-modulating characteristics of hucMSCs that contribute to CS.

Prognostic significance of positive peritoneal cytology in endometrial carcinoma based on ESGO/ESTRO/ESP risk classification: A multicenter retrospective study.

OBJECTIVE: This study aimed to determine the prognostic significance of positive peritoneal cytology (PC) on endometrial carcinoma (EC) patients under the ESGO/ESTRO/ESP risk classification. METHODS: This study retrospectively analyzed EC patients from 27 medical centers in China from 2000 to 2019. Patients were divided into three ESGO risk groups: low-risk, intermediate-risk and high-intermediate risk, and high-risk groups. The covariates were balanced by using the propensity score-based inverse probability of treatment weighting (PS-IPTW). The prognostic significance of PC was assessed by Kaplan-Meier curves and multivariate Cox regression analysis. RESULTS: A total of 6313 EC patients with PC results were included and positive PC was reported in 384 women (6.1%). The multivariate Cox analysis in all patients showed the positive PC was significantly associated with decreased PFS (hazard ratio [HR] 2.20, 95% confidence interval [CI] 1.55-3.13, P < 0.001) and OS (HR 2.25, 95% CI 1.49-3.40, P < 0.001),and the Kaplan-Meier curves also showed a poor survival in the intermediate and high-intermediate risk group (5-year PFS: 75.5% vs. 93.0%, P < 0.001; 5-year OS: 78.3% vs. 96.4%, P < 0.001); While in the low-risk group, there were no significant differences in PFS and OS between different PC status (5-year PFS: 93.1% vs. 97.3%, P = 0.124; 5-year OS: 98.6% vs. 98.2%, P = 0.823); in the high-risk group, significant difference was only found in PFS (5-year PFS: 62.5% vs. 77.9%, P = 0.033). CONCLUSION: Positive PC was an adverse prognostic factor for EC, especially in the intermediate and high-intermediate risk patients. Gynecologic oncologists should reconsider the effect of positive PC on different ESGO risk groups.

Color restoration based on digital pathology image.

OBJECTIVE: Protective color restoration of faded digital pathology images based on color transfer algorithm. METHODS: Twenty fresh tissue samples of invasive breast cancer from the pathology department of Qingdao Central Hospital in 2021 were screened. After HE staining, HE stained sections were irradiated with sunlight to simulate natural fading, and every 7 days was a fading cycle, and a total of 8 cycles were experienced. At the end of each cycle, the sections were digitally scanned to retain clear images, and the color changes of the sections during the fading process were recorded. The color transfer algorithm was applied to restore the color of the faded images; Adobe Lightroom Classic software presented the histogram of the image color distribution; UNet++ cell recognition segmentation model was used to identify the color restored images; Natural Image Quality Evaluator (NIQE), Information Entropy (Entropy), and Average Gradient (AG) were applied to evaluate the quality of the restored images. RESULTS: The restored image color met the diagnostic needs of pathologists. Compared with the faded images, the NIQE value decreased (P<0.05), Entropy value increased (P<0.01), and AG value increased (P<0.01). The cell recognition rate of the restored image was significantly improved. CONCLUSION: The color transfer algorithm can effectively repair faded pathology images, restore the color contrast between nucleus and cytoplasm, improve the image quality, meet the diagnostic needs and improve the cell recognition rate of the deep learning model.

LncRNAs signatures associated with cuproptosis predict the prognosis of endometrial cancer.

Background: Endometrial cancer (UCEC) is the sixth most common cancer in women, and although surgery can provide a good prognosis for early-stage patients, the 5-year overall survival rate for women with metastatic disease is as low as 16%. Long non-coding RNAs (LncRNAs) are thought to play an important role in tumor progression. Cuproptosis is a recently discovered form of cell death in which copper binds directly to the lipoacylated component of the tricarboxylic acid (TCA) cycle. The aggregation of these copper-bound listed mitochondrial proteins and the loss of Fe-S cluster proteins trigger proteotoxic stress, which leads to cell death. Therefore, the aim of this work was to investigate the role of Cuproptosis-related LncRNAs signaling in clinical prognostic prediction and immunotherapy, as well as the relationship between tumor mutation burden. Methods: Genomic, clinical and mutational data of endometrial cancer patients were presented in the TCGA database, and cuproptosis-related genes obtained from related studies. Coexpression analysis and Cox regression analysis were used to construct prognostic features. Patients were divided into high risk group and low risk group, and then ROC, survival rate, risk curve, principal component analysis, independent prognostic analysis and clinical subgroup model validation were performed to observe the prognostic value of characteristics. Subsequently, the GO and genomic KEGG enrichment and immune-related functions of LncRNAs as well as the tumor mutation burden were analyzed. Results: In 548 UCEC case data, we identified five associated LncRNAs co-expressed with cuproptosis genes, and we found that high-risk patients had poorer overall survival (OS), progression-free survival (PFS), and higher mortality. Independent prognostic analysis, ROC showed that the LncRNAs associated with cuproptosis could accurately predict the prognosis of patients. Enrichment analysis revealed that the biological functions of LncRNAs were related to tumorigenesis. We also discovered suppression of immune-related functions in high-risk patients with oncogene mutations, higher tumor mutation burden in low-risk patients, and longer overall survival in patients with higher tumor mutation burden. Conclusion: The identification of five LncRNAs associated with cuproptosis can accurately predict the prognosis of patients with endometrial cancer, and may provide a new perspective for clinical application and immunotherapy.

New chromones from the roots of Saposhnikovia divaricata (Turcz.) Schischk with anti-inflammatory activity.

Fifteen new chromones, sadivamones A-E (1-5), cimifugin monoacetate (6), sadivamones F-N (7-15), together with fifteen known chromones (16-30), were isolated from the ethyl acetate portions of 70% ethanol extract of Saposhnikovia divaricata (Turcz.) Schischk roots. The structures of the isolates were determined using 1D/2D NMR data and electron circular dichroism (ECD) calculations. Meanwhile, LPS induced RAW264.7 inflammatory cell model was used to determine the potential anti-inflammatory activity of all the isolated compounds in vitro. The results showed that compounds 2, 8, 12-13, 18, 20-22, 24, and 27 significantly inhibited the production of lipopolysaccharide (LPS)-induced NO in macrophages. To determine the signaling pathways involved in the suppression of NO production by compounds 8, 12 and 13, we investigated ERK and c-Jun N-terminal protein kinase (JNK) expression by western blot analysis. Further mechanistic studies demonstrated that compounds 12 and 13 inhibited the phosphorylation of ERK and the activation of ERK and JNK signaling in RAW264.7 cells via MAPK signaling pathways. Taken together, compounds 12 and 13 may be valuable candidates for the treatment of inflammatory diseases.

The indication and treatment outcome predictors of mifepristone treating ectopic pregnancy.

OBJECTIVE: Ectopic pregnancy is a life-threatening disease and is an important cause of pregnancy-related mortality. MTX is the primary conservative treatment medicine of ectopic pregnancy, and mifepristone is also a promising medicine. Through studying the ectopic cases at the third affiliated hospital of Sun Yat-Sen University, the study aims to analyze the indication and treatment outcome predictors of mifepristone. METHODS: The data of 269 ectopic pregnancy cases treated with mifepristone during the year 2011-2019 were retrospectively collected. Logistic-regression analysis was used to analyze the factors affiliated with the treatment outcome of mifepristone. Then ROC curve was used to analyze the indication and predictors. RESULTS: Through logistic-regression analysis, HCG is the only factor related to the treatment outcome of mifepristone. The AUC of ROC curve predicting treatment outcome with pre-treatment HCG is 0.715, and the cutoff value of ROC curve is 372.66 (sensitivity 0.752, specificity 0.619). The AUC of 0/4 ratio predicting the treatment outcome is 0.886, and the cutoff value is 0.3283 (sensitivity 0.967, specificity 0.683). The AUC of 0/7 ratio is 0.947, and the cutoff value is 0.3609 (sensitivity 1, specificity 0.828). CONCLUSIONS: Mifepristone can be used to treat ectopic pregnancy. HCG is the only factor related to the treatment outcome of mifepristone. Patients with HCG less than 372.66 U/L can be treated by mifepristone. If HCG descends more than 67.18% on the 4th day or 63.91% on the 7th day, it is more likely to have a successful treatment outcome. It is more precise to retest on the 7th day.

Preoperative and intraoperative assessment of myometrial invasion in patients with FIGO stage I non-endometrioid endometrial carcinoma-a large-scale, multi-center, and retrospective study.

INTRODUCTION: Myometrial invasion is a prognostic factor for lymph node metastases and decreased survival in non-endometrioid endometrial carcinoma patients. Herein, we explored the mode of myometrial invasion diagnosis in FIGO stage I non-endometrioid carcinoma and evaluated the differences in diagnostic efficiency among intraoperative frozen section (IFS), intraoperative gross examination (IGE), magnetic resonance imaging (MRI), and computed tomography (CT) in clinical practice. Finally, we suggested which test should be routinely performed. METHOD: This was a historical cohort study nationwide with 30 centers in China between January 2000 and December 2019. Clinical data, including age, histology, method of myometrial invasion evaluation (MRI, CT, IGE, and IFS), and final diagnosis of postoperative paraffin sections, were collected from 490 non-endometrioid endometrial carcinoma (serous, clear cell, undifferentiated, mixed carcinoma, and carcinosarcoma) women in FIGO stage I. RESULTS: Among the 490 patients, 89.59% presented myometrial invasion. The methods reported for myometrial invasion assessment were IFS in 23.47%, IGE in 69.59%, MRI in 37.96%, and CT in 10.20% of cases. The highest concordance was detected between IFS and postoperative paraffin sections (Kappa = 0.631, accuracy = 93.04%), followed by IGE (Kappa = 0.303, accuracy = 82.40%), MRI (Kappa = 0.131, accuracy = 69.35%), and CT (Kappa = 0.118, accuracy = 50.00%). A stable diagnostic agreement between IFS and the final results was also found through the years (2000-2012: Kappa = 0.776; 2013-2014: Kappa = 0.625; 2015-2016: Kappa = 0.545; 2017-2019: Kappa = 0.652). CONCLUSION: In China, the assessment of myometrial invasion in non-endometrioid endometrial carcinoma is often performed via IGE, but the reliability is relatively low in contrast to IFS. In clinical practice, IFS is a reliable method that can help accurately assess myometrial invasion and intraoperative decision-making (lymph node dissection or not). Hence, it should be routinely performed in non-endometrioid endometrial carcinoma patients.

It is not the time to abandon intraoperative frozen section in endometrioid adenocarcinoma: A large-scale, multi-center, and retrospective study.

INTRODUCTION: Stage IB (deep myometrial invasion) high-grade endometrioid adenocarcinoma (EA), regardless of LVSI status, is classified into high-intermediate risk groups, requiring surgical lymph node staging. Intraoperative frozen section (IFS) is commonly used, but its adequacy and reliability vary between reports. Hence, we determined the utility of IFS in identification of high-risk factors, including deep myometrial invasion and high-grade. METHOD: We retrospectively analyzed 9,985 cases operated with hysterectomy and diagnosed with FIGO stage I/II EA in postoperative paraffin section (PS) results at 30 Chinese hospitals from 2000 to 2019. We determined diagnostic performance of IFS and investigated whether the addition of IFS to preoperative biopsy and imaging could improve identification of high-risk factors. RESULTS: IFS and postoperative PS presented the highest concordance in assessing deep myometrial invasion (Kappa: 0.834), followed by intraoperative gross examination (IGE Kappa: 0.643), MRI (Kappa: 0.395), and CT (Kappa: 0.207). IFS and postoperative PS presented the highest concordance for high-grade EA (Kappa: 0.585) compared to diagnostic curettage (D&C 0.226) and hysteroscope (Hys 0.180). Sensitivity and specificity for detecting deep myometrial invasion were 86.21 and 97.20% for IFS versus 51.72 and 88.81% for MRI, 68.97 and 94.41% for IGE. These figures for detecting high-grade EA were 58.21 and 96.50% for IFS versus 16.42 and 98.83% for D&C, 13.43 and 98.64% for Hys. Parallel strategies, including MRI-IFS (Kappa: 0.626), D&C-IFS (Kappa: 0.595), and Hys-IFS (Kappa: 0.578) improved the diagnostic efficiencies of individual preoperative examinations. Based on the high sensitivity of IFS, parallel strategies improved the sensitivities of preoperative examinations to 89.66% (MRI), 64.18% (D&C), 62.69% (Hys), respectively, and these differences were statistically significant (p = 0.000). CONCLUSION: IFS presented reasonable agreement rates predicting postoperative PS results, including deep myometrial invasion and high-grade. IFS helps identify high-intermediate risk patients in preoperative biopsy and MRI and guides intraoperative lymphadenectomy decisions in EA.

Phenylpropanoids from Solanum capsicoides and their anti-inflammatory activity.

Two new phenylpropanoids, 4-O-(1''-O-cis-caffeoyl)-ß-glucopyran osyl-1-allyl-3-methoxy-benzene (1), 4'-O-(1''-O-cis-caffeoyl)-ß-glucopyranosyl-hydroxymegastigm-4-en-3-one (2), together with nine known compounds were obtained from the leaves of Solanum capsicoides. Their structures were elucidated based on spectroscopic methods, and comparing spectral data with those in literature. Meanwhile, their anti-inflammatory activities were evaluated on (LPS)-induced RAW 246.7 cells, and 1, 9, and 10 showed better inhibitory effects with IC50 values of 17.19 ± 1.12, 18.15 ± 0.47, and 19.8 ± 0.95 µM, respectively.

The efficacy of mifepristone combined with methotrexate for the treatment of ectopic pregnancy: a systematic review and meta-analysis.

OBJECTIVE: Systematically evaluate the clinical efficacy of mifepristone combined with methotrexate therapy for ectopic pregnancy (EP), analyze the experimental designs, put forward improvement ideas. METHODS: RCTs of mifepristone combined with mifepristone for EP until January 2022 in six databases were searched. The primary outcome indicator was the cure rate. RevMan 5.4 was used to analyse and the online GRADEpro tool was used to assess the certainty of the evidence. RESULTS: Twenty-five RCTs involved 2263 patients. The cure rate was higher in the investigational group (OR = 4.09, 95%CI: [3.20, 5.22]), time of vagina stopped bleeding (MD = -11.21, 95%CI: [-11.85, -10.57]) and time of abdominal pain disappeared (MD = -6.24, 95%CI: [-6.63, -5.86]) were shorter in the investigational group, ß-HCG level (MD = -585.32, 95%CI: [-609.62, -561.03]) was lower and diameter of the mass (MD = -1.23, 95%CI: [-1.40, -106]) was smaller in the investigational group. The certainty of the evidence for most outcomes was moderate or high, and only one was low. CONCLUSIONS: The combination of mifepristone and methotrexate can improve the efficacy of ectopic pregnancy without amplifying the toxic side effects. Larger scale and better design of the randomized controlled trials are needed.KEY MESSAGESIn recent years, the increase in ectopic pregnancies and their impacts on female fertility makes physicians have to find an effective medical treatment as soon as possible that can avoid surgery.The mifepristone combined with methotrexate therapy for EP has better curative effects on improving the cure rate, lowering ß-HCG level, reducing the mass, and alleviating symptoms of abdominal pain and bleeding, without amplifying the toxic side effects.Literature with high quality is lacking, and well-designed, large-scale and high-quality multicenter randomized controlled trials are needed.

Two new terpenoids with anti-inflammatory activity from the fruits of Arenga pinnata (Wurmb) Merr.

Two new terpenoids (1 and 2), arenterpenoid D (1) and pinnasesquiterpene A (2), along with 16 phenylpropanoids (3-18) and 8 known terpenoids (19-26) were isolated from 70% EtOH extract of the Arenga pinnata (Wurmb) Merr. fruits. Their structures were elucidated by spectroscopic methods including HR-ESI-MS, 1D, and 2D NMR. The absolute configuration of arenterpenoid D (1) was defined by X-ray crystallographic analysis. Furthermore, we evaluated the anti-inflammatory activity of all compounds, and outcomes showed that 2 and 21 exposed moderate suppressive effects against NO generation in lipopolysaccharide-stimulated RAW 264.7 cells.

An Acid Response IR780-Based Targeted Nanoparticle for Intraoperative Near-Infrared Fluorescence Imaging of Ovarian Cancer.

Introduction: Complete resection of all visible disease (R0 resection) is critical for the treatment of ovarian cancer patients, and accurate real-time guidance provided by intraoperative near-infrared (NIR) fluorescence images is beneficial for achieving complete resection of all visible disease. Methods: Based on the optical properties of IR780 and the characteristics of the acidic tumor microenvironment, we develop a new smart nanoparticle (eg, FA-IR780&PFOB-SNPs) by using the pH response nano framework (FA-PEG-PLGA-PEOz) and adjusting the amount of IR780. The FA-IR780&PFOB-SNPs was characterized for morphology, microstructure, particle size, pH-response, drug-loading efficiency and biological safety. The ultraclear fluorescence Navigation Endoscopy System was applied to evaluate the tumor recognition of FA-IR780&PFOB-SNPs in vivo. Results: The structure of FA-IR780&PFOB-SNPs was stable in a neutral environment, and the near-infrared (NIR) fluorescence was turned off, while the structure of FA-IR780&PFOB-SNPs was degraded in the acidic tumour microenvironment, and the NIR fluorescence was turned on. Through the ovarian subcutaneous xenograft tumour and ovarian intraperitoneal xenograft tumour models, it was confirmed that FA-IR780&PFOB-SNPs could clearly display the boundaries of abdominal micron-sized tumours through near-infrared fluorescence imaging, with a TBR greater than 5. Conclusion: The FA-IR780&PFOB-SNPs have the potential to provide to ovarian cancer intraoperative near infrared fluorescence navigation during precision tumour resection to achieve R0 and improve the prognosis of ovarian cancer patients.

The trend of the distribution of ectopic pregnancy sites and the clinical characteristics of caesarean scar pregnancy.

BACKGROUND: Ectopic pregnancy is a life-threatening occurrence and is an important cause of pregnancy-related mortality. We launched the study to investigate the distribution and its variation trend of the ectopic pregnancy sites and the clinical characteristics of caesarean scar pregnancy, to provide information for further clinical practice. METHODS: A total of 3915 patients were included in our study to calculate the distribution of the implantation sites of ectopic pregnancies. Then, we performed a χ2 test for trend and calculated the quantity of each type of ectopic pregnancy during 2012-2015 and 2016-2019 to analyse the variation trend. RESULTS: (1) The proportion of each site of ectopic pregnancy was as follows: tubal pregnancy (84.70%), ovarian pregnancy (1.56%), caesarean scar pregnancy (8.63%), abdominal pregnancy (0.61%), cornual pregnancy (2.68%), cervical pregnancy (0.49%), heterotopic pregnancy (0.43%). (2) Through the χ2 test for trend, the ratio of caesarean scar pregnancy to ectopic pregnancy showed an upward trend (P = 0.005). From 2012 to 2015 and 2016-2019, the ratio of caesarean scar pregnancy to ectopic pregnancy increased from 5.74 to 11.81% (P < 0.001). (3) A total of 72.78% (246/338) caesarean scar pregnancy patients had one caesarean delivery, 25.15% (85/338) had two caesarean deliveries, and 2.07% (7/338) had three caesarean deliveries. A total of 80.18% (271/338) had aborted before. The most common clinical manifestations were amenorrhea (98.52%), abdominal pain (25.74%) and vaginal bleeding (67.76%), the most common sign was uterine enlargement (46.75%). CONCLUSION: As the ratio of caesarean scar pregnancy increases, the caesarean delivery rate should be decreased to decrease the morbidity of caesarean scar pregnancy.

Ectopic pregnancy occurs when a fertilized ovum implants outside the endometrium of the uterine cavity, which is a life-threatening occurrence and is an important cause of pregnancy-related mortality. With the increase in pelvic and intrauterine operations, the distribution of ectopic sites has been changing, but the variation has been insufficiently studied. To investigate the distribution of ectopic sites and its variation trend in depth, we collected the data of 3915 ectopic pregnancy cases from the third affiliated hospital of Sun Yat-Sen University.Through χ² test for trend, the ratio of caesarean scar pregnancy to ectopic pregnancy showed an upward trend (P = 0.005). From 2012 to 2015 and 2016­2019, the ratio of caesarean scar pregnancy to ectopic pregnancy increased from 5.74 to 11.81% (P < 0.001). As the increasing of the ratio of caesarean scar pregnancy to ectopic pregnancy, the clinical characteristics of caesarean scar pregnancy was analysed.A total of 72.78% (246/338) caesarean scar pregnancy patients had one caesarean delivery, 25.15% (85/338) had two caesarean deliveries, and 2.07% (7/338) had three caesarean deliveries. A total of 80.18% (271/338) had aborted before. The most common clinical manifestations were amenorrhea (98.52%), abdominal pain (25.74%) and vaginal bleeding (67.76%), the most common sign was uterine enlargement (46.75%).As the ratio of caesarean scar pregnancy increases, the caesarean delivery rate should be decreased to decrease the morbidity of caesarean scar pregnancy.

Assessment of Two Formulations of Triptorelin in Chinese Patients with Endometriosis: A Phase 3, Randomized Controlled Trial.

INTRODUCTION: This phase 3, randomized, open-label, active-controlled, multicenter study investigated the efficacy of triptorelin pamoate prolonged-release (PR) 3-month in Chinese patients with endometriosis by demonstrating the noninferiority of the 3-month formulation to the standard of care, triptorelin acetate PR 1-month. METHODS: The trial was conducted in 24 clinical centers in China, and included 300 Chinese women (18-45 years) with endometriosis and regular menstrual cycles who required treatment with a gonadotropin-releasing hormone agonist for 6 months. One group of patients (n = 150) was treated with triptorelin pamoate PR 3-month (15 mg per injection, once every 12 weeks), and the other (n = 150) with triptorelin acetate PR 1-month (3.75 mg per injection, once every 4 weeks). The primary outcome measure was the proportion of patients with estradiol (E2) concentrations suppressed to castration levels (≤ 184 pmol/L, or 50 pg/mL) after 12 weeks of treatment. RESULTS: Triptorelin pamoate PR 3-month was noninferior to triptorelin acetate PR 1-month for the treatment of endometriosis: over 98% of patients in both groups were chemically castrated at week 12. Both formulations were also equally efficacious in reducing endometriosis-associated pelvic pain, and reducing serum concentrations of E2, luteinizing hormone, and follicle-stimulating hormone over time. No new safety concerns were identified. CONCLUSION: Triptorelin pamoate PR 3-month is a valid alternative to triptorelin acetate PR 1-month for the treatment of Chinese women with endometriosis, with fewer injections and a potentially lower burden of care. TRIAL REGISTRATION: NCT03232281.

Prognostic-Related Metabolic Score for Survival Prediction in Early-Stage Endometrioid Endometrial Cancer: A Multi-Center and Retrospective Study.

Objective: Patients with endometrial cancer (EC) combined with metabolic syndrome (MetS) have a worse prognosis than those without MetS. This study aimed to investigate whether partial metabolic disorder significantly influenced early-stage endometrioid EC (EEC) survival and searched for a more efficient method to evaluate metabolic status. Methods: This is a nationwide, multicenter cohort study that included 998 patients with primary early-stage EEC from 2001 to 2018. Patients were divided into different metabolic groups based on the diagnostic criteria of the Chinese Medical Association (CDC). The progression-free survival (PFS) time was compared between various metabolic status. Meanwhile, we established an EC Prognostic-Related Metabolic Score (ECPRM Score) to explore the association of the severity of metabolic status and early-stage EEC PFS. A nomogram was established for predicting PFS, which was externally validated in a testing set that includes 296 patients. Results: A partial metabolic disorder, as well as MetS, was an independent risk factor of poor survival of patients with early-stage EEC [hazard ratio (HR) = 7.6, 95% CI = 1.01-57.5, p < 0.05]. A high ECPRM Score was associated with lower PFS (HR = 2.1, 95% CI = 1.05-4.0, p < 0.001). The nomogram, in which the ECPRM Score contributed most to the prognosis, exhibited excellent discrimination of survival supported by the internal and external validations. In addition, the calibration curve supports its robust predicting ability. Conclusion: Even though they do not meet the criteria of MetS, partial metabolic disorders were also associated with adverse outcomes in early-stage EEC. The ECPRM Score is beneficial for clinicians to evaluate the severity of metabolic abnormalities and guide patients to ameliorate the poor prognosis of metabolic disorders.

Risk Factors and Prognosis of Early Recurrence in Stage I-II Endometrial Cancer: A Large-Scale, Multi-Center, and Retrospective Study.

Objective: The aim of the present study was to determine overall survival (OS) and risk factors associated with early recurrence in patients with FIGO I-II stage endometrial carcinoma (EC). Methods: Clinical features were retrospectively extracted from the database of China Endometrial Cancer Consortium from January 2000 to December 2019. A total of 2,974 patients with Federation International of Gynecology and Obstetrics (FIGO) I-II stage endometrial cancer were included. Kaplan-Meier survival analysis was used to assess OS and disease-specific survival. Cox proportional hazard model and Fine-Gray model were used to determine the factors related to OS. Binary logistic regression model was used to determine independent predictors of early relapse patients. Results: Of these 2,974 ECs, 189 patients were confirmed to have relapse. The 5-year OS was significantly different between the recurrence and non-recurrence patients (p < 0.001). Three quarters of the relapse patients were reported in 36 months. The 5-year OS for early recurrence patients was shorter than late recurrence [relapse beyond 36 months, p < 0.001]. The grade 3 [odds ratio (OR) = 1.55, 95%CI 1.17-2.05, p = 0.002], lymphatic vascular infiltration (LVSI; OR = 3.36; 95%CI 1.50-7.54, p = 0.003), and myometrial infiltration (OR = 2.07, 95%CI 1.17-3.65, p = 0.012) were independent risk factors of early relapse. The protective factor of that is progesterone receptor (PR)-positive (OR = 0.50, 95%CI 0.27-0.92, p = 0.02). Bilateral ovariectomy could reduce recurrence risk rate (OR = 0.26, 95%CI 0.14-0.51, p < 0.001). Conclusion: The OS of early relapse EC is worse. Grade 3, LVSI, and myometrial infiltration are independent risk factors for early relapse EC. In addition, the protective factor is PR-positive for those people and bilateral salpingo-oophorectomy could reduce the risk of recurrence.