International Journal of Gynecology & Obstetrics最新文献

{"title":"Vulvovaginal candidiasis: Evaluation of socioenvironmental risk factors in a silent epidemic.","authors":"Paulo X de C Moreira, Silvio G Monteiro, Thayariane L Mendes, Haryne L A Furtado, Monica S Braga, Bruna O Melo, Sirlei G Marques, Cristina de A Monteiro, Fabrício B Silva, Alcione M Dos Santos, Adriana S Rêgo, Monique S do Carmo, Rossana de A Cordeiro, Maria R Q Bomfim, Beatriz G Dos Santos, Matheus A Holanda, Rodrigo A Holanda, Julliana R A Santos","doi":"10.1002/ijgo.70114","DOIUrl":"https://doi.org/10.1002/ijgo.70114","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Topical imiquimod and in situ vulvar melanoma: A promising therapy?","authors":"Francesca Pepe, Flavia Silvestri, Eleonora Petra Preti, Anna Daniela Iacobone, Gianluigi Radici, Sabina Vaccari, Paola Queirolo, Giulio Tosti","doi":"10.1002/ijgo.70087","DOIUrl":"https://doi.org/10.1002/ijgo.70087","url":null,"abstract":"<p><strong>Objectives: </strong>Vulvar melanoma is a rare type of cancer that affects mainly postmenopausal women. There are no established protocols for the treatment of vulvar melanoma. From data extrapolated from the literature on cutaneous melanoma, surgical excision remains the best option for the resectable disease. Imiquimod, a topical immunomodulator, has been used in selected cases of in situ vulvar melanoma.</p><p><strong>Methods and results: </strong>We reported two cases of in situ vulvar melanoma treated with topical imiquimod 5%, either as first-line therapy or adjuvant treatment, that showed a complete clinical response to topical treatment.</p><p><strong>Conclusion: </strong>Imiquimod's beneficial and adverse effects in in situ vulvar melanoma treatment are examined.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143771714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved practical value of the FIGO 2023 staging system in evaluating prognosis of early stages endometrial carcinoma.","authors":"Qiaoyan Kang, Jianguo Zhao, Jiaqi Wang, Qi Ge, Pengpeng Qu","doi":"10.1002/ijgo.70109","DOIUrl":"https://doi.org/10.1002/ijgo.70109","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the practical value of the International Federation of Gynecology and Obstetrics (FIGO) 2023 endometrial cancer (EC) staging system.</p><p><strong>Methods: </strong>Data on clinicopathological characteristics of patients diagnosed with EC at Tianjin Central Hospital of Gynecology Obstetrics from January 2015 to December 2017 were collected. Initial staging was performed using the FIGO 2009 system, followed by revised staging with the 2023 FIGO system. The oncological outcomes of patients under the different staging systems were analyzed.</p><p><strong>Results: </strong>A total of 671 patients with EC were included in this study, and after applying the 2023 FIGO staging system, the staging of 119 (17.73%) patients changed, with 11 (1.64%) patients experiencing downstaging and 108 (16.10%) patients experiencing upstaging; 5-year progression-free survival (PFS) and overall survival (OS) rates changed in stage I (97.75%-98.55% and 98.79%-99.38%, respectively) and stage II (91.39%-93.16% and 95.65%-95.72%, respectively) patients, and the differences in PFS (P = 0.060 and P = 0.001, respectively) and OS (P = 0.349 and P = 0.003, respectively) between stage I and stage II patients became statistically significant. After the restaging of FIGO 2009 stage I patients, there were statistically significant differences in PFS (P = 0.002 and P = 0.024, respectively) and OS (P = 0.002 and P = 0.002, respectively) between stage IIB and IA1 and IA2 patients, and significant differences in PFS (P = 0.022) and OS (P = 0.048) were observed between stage IIC and IA1 patients. In FIGO 2023 stage IIB and IIC patients, the differences in PFS (P = 0.39 and P = 0.39, respectively) and OS (P = 0.78 and P = 0.5, respectively) were not statistically significant among the various FIGO 2009 stages.</p><p><strong>Conclusion: </strong>In the FIGO 2023 EC staging system, stage I and II staging criteria are more reasonable, and the addition of stage IIB and IIC helps to better evaluate patient prognosis.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A machine learning model for prenatal risk prediction of cephalopelvic disproportion-related dystocia: A retrospective study.","authors":"Su Zhang, Hong-Juan Jiang, Su-Xiao Liu, Yan-Ru Wang, Liu-Cheng Li, Hai-Hui Zhou, Ping Huang, Xiu-Li Yang, Wei-Qi Xia","doi":"10.1002/ijgo.70126","DOIUrl":"https://doi.org/10.1002/ijgo.70126","url":null,"abstract":"<p><strong>Objective: </strong>To develop a prenatal risk prediction model for cephalopelvic disproportion (CPD)-related dystocia. This model aims to complement obstetricians' empirical judgments by identifying high-risk CPD-related dystocia cases within populations deemed low-risk prenatally.</p><p><strong>Methods: </strong>We retrospectively screened and stratified women into three groups based on CPD-related dystocia and delivery method: planned cesarean deliveries (CDs) for prenatal high CPD risk, emergency CDs due to CPD-related dystocia, and vaginal deliveries without CPD occurrence. By comparing 25 routine maternal and fetal parameters among groups, specific parameters were selected for prediction. Then we built models using eight machine learning algorithms, based on data from women with emergency CDs due to CPD-related dystocia and those with vaginal deliveries. The model showing highest predictive power was adopted as predictive model.</p><p><strong>Results: </strong>Despite the empirical prenatal exclusion of high CPD risk by obstetricians, 3.86% of women encountered CPD-related dystocia, comprising 26.25% of emergency CDs performed during labor. A total of 21 variables were screened as predictive indicators, including age, maternal height, nullipara, pre-pregnancy body mass index (BMI), gestational weeks, antepartum BMI, interspinous diameter, intercristal diameter, external conjugate diameter, intertuberal diameter, fundal height, maternal abdominal circumference, fetal presentation, engagement of fetal head, estimated fetal weight by obstetricians, head circumference, fetal abdominal circumference, biparietal diameter, femur length, cord around neck, and sonographic estimated fetal weight. The random Forest model emerged as the most predictive, achieving an area under the curve (AUC) of 0.824, and maintained an AUC of 0.723 in independent validation. A web-based prediction tool (https://cpd.workhard.work/) was created and made freely accessible.</p><p><strong>Conclusion: </strong>Obstetricians' prenatal assessments based on clinical experience cannot identify all CPD-related dystocia cases, leading to emergency CDs among patients initially deemed low-risk. Our prediction model, utilizing routine clinical parameters, effectively identifies high-risk CPD-related dystocia prenatally, thereby addressing the limitations of clinical judgment.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joy of savoring \"how it's written,\" the apparition of ChatGPT, and yielding loss of such joy?","authors":"Shigeki Matsubara","doi":"10.1002/ijgo.70135","DOIUrl":"https://doi.org/10.1002/ijgo.70135","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Memoriam: Charles Ngwena.","authors":"Rebecca Cook, Bernard Dickens","doi":"10.1002/ijgo.70092","DOIUrl":"https://doi.org/10.1002/ijgo.70092","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spontaneous regeneration of uterus after uterocutaneous fistula following excision of a pyomyoma: A case report.","authors":"Grace Ming Fen Chan, Soe-Na Choo, Harvard Zhenjia Lin, Pearl Shuang Ye Tong","doi":"10.1002/ijgo.70112","DOIUrl":"https://doi.org/10.1002/ijgo.70112","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new accurate model to assess intrauterine insemination success based on clinical parameters: Optimizing fertility treatment.","authors":"Dani Ejzenberg, Gustavo Yano Callado, Tiago Jose de Oliveira Gomes, Giovanna Santos Cavalcanti, Jose Maria Soares, Edmund Chada Baracat, Pedro Augusto Monteleone","doi":"10.1002/ijgo.70104","DOIUrl":"https://doi.org/10.1002/ijgo.70104","url":null,"abstract":"<p><strong>Objective: </strong>To develop a predictive model for intrauterine insemination (IUI) success based on known clinical parameters.</p><p><strong>Methods: </strong>We created an application designed to calculate the probability of IUI success, utilizing data from couples who underwent fertility treatment. The model was developed through a retrospective analysis of clinical and laboratory variables. The main outcome was positive beta human chorionic gonadotrophin (β-hCG) test. The variables included in the model, determined through a multivariate analysis using stepwise regression, encompassed the etiology of infertility, FSH levels in the early proliferative phase, duration of infertility, total sperm count in the ejaculate, and Kruger morphology.</p><p><strong>Results: </strong>The study included data from 299 couples seeking fertility treatment at the Hospital das Clínicas of the University of São Paulo between 2008 and 2016, involving a total of 355 insemination cycles. All patients underwent IUI treatment for infertility. Various clinical and laboratory variables were examined to build the predictive model for IUI success. The model demonstrated high sensitivity (89.8%), specificity (88.2%), and an area under the ROC curve of 0.946 (95% CI: 0.910-0.982), indicating an overall accuracy of 94.6%. The Hosmer-Lemeshow test yielded a p value of 0.036. This calculator offers healthcare professionals the means to assess the suitability of IUI for individual patients, providing them with tailored guidance.</p><p><strong>Conclusion: </strong>By enhancing the accuracy of IUI success predictions, this model has the potential to optimize the allocation of healthcare resources, alleviate patient stress and disappointment, and ultimately enhance patient outcomes within the field of infertility treatment.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assisted reproductive technology in a patient with endosalpingiosis: A case report-Implications on clinical management and patient counseling.","authors":"E Deligeoroglou, S Tsiapakidou, G Kioussis, G F Grimbizis","doi":"10.1002/ijgo.70113","DOIUrl":"https://doi.org/10.1002/ijgo.70113","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The need and effectiveness of a national simulation training program in obstetric emergencies from a trainee view.","authors":"Elif Goknur Topcu, Duygu Ucar Kartal, Merve Gul Kara, Mustafa Onur Kamani, Lena Tureyici, Erdem Gurkan, Sezin Eda Karsli, Kubra Karakolcu, Erhan Huseyin Comert, Dilek Sahir Uygur, Ozlem Moraloglu Tekin","doi":"10.1002/ijgo.70117","DOIUrl":"https://doi.org/10.1002/ijgo.70117","url":null,"abstract":"<p><strong>Objective: </strong>Simulation training is a highly valuable and effective tool that has been increasingly used in the field of obstetrics to enhance knowledge and experience. We aimed to evaluate the immediate impact of a 1 day trainee initiated national emergency obstetric simulation course on clinical knowledge and self-assurance of trainees.</p><p><strong>Methods: </strong>This was a cross-sectional study conducted in the Ankara Bilkent City Hospital between December 2021 and March 2024. A total of eight courses were conducted with 200 trainees. Two online, anonymous surveys were created as pre- and post-tests of the course, consisting of the same 32 questions, filled in by the trainees before and after the course.</p><p><strong>Results: </strong>A total of 192 people participated in the study and 171 people (167 residents and 4 young specialists) were included. Participants completed a 41 question test that assessed four key areas; management of postpartum bleeding, operative vaginal delivery, breech delivery and shoulder dystocia, both before and after the training. The majority (93.6%) had never attended an emergency obstetrics simulation training. When the test results of the participants before and after the training were compared, a statistically significant improvement was found in all topics (P < 0.001). It was observed that the greatest improvement was in shoulder dystocia (45%), followed by breech birth management (40%). Participants with prior simulation experience showed lower improvement in some areas compared to those without prior experience (P < 0.001). Trainees also reported that \"they feel more confident,\" and \"they are more ready to manage these cases.\"</p><p><strong>Conclusion: </strong>Emergency obstetric simulation training remarkably improves knowledge and self-assurance among postgraduate obstetrics and gynecology residents. Continued implementation of national programs are recommended to ensure optimal preparedness and standardization in emergency obstetrics.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}