Topic Editors

Department of Obstetrics and Gynecology, The University of Tokyo, Tokyo 113-8655, Japan
Department of Obstetrics and Gynecology, Tottori University Faculty of Medicine, Yonago 683-8503, Japan

Development of Diagnosis and Treatment Modalities in Obstetrics and Gynecology

Abstract submission deadline
20 January 2026
Manuscript submission deadline
20 March 2026
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5491

Topic Information

Dear Colleagues,

We are now accepting submissions for the topic “Development of Diagnosis and Treatment Modalities in Obstetrics and Gynecology”. This call invites original research, reviews, and clinical studies focusing on recent advances in hormonal and surgical treatments for uterine fibroids, endometriosis, and adenomyosis; the impact of these conditions on IVF-ET outcomes; and strategies to prevent pregnancy complications. We also invite submissions with a focus on the following topics: innovations in imaging for gynecologic disorders, management of dysmenorrhea across age groups, and the diverse aspects of reproductive endocrinological diseases. Furthermore, papers addressing the optimization of infertility treatments through various therapeutic approaches and the integration of new technologies in reproductive medicine and gynecologic oncology are also welcome. The submissions should contribute to improving diagnostic precision and individualized care in women’s health.

Dr. Osamu Hiraike
Dr. Fuminori Taniguchi
Topic Editors

Keywords

  • hormonal treatments for uterine fibroids, endometriosis, and adenomyosis
  • IVF-ET complicated by uterine fibroids, endometriosis, and adenomyosis
  • efficacy of surgical treatment in preventing pregnancy complications with uterine fibroids, endometriosis, and adenomyosis
  • imaging for the diagnosis of uterine fibroids, endometriosis, and adenomyosis
  • dysmenorrhea in adolescents and perimenopausal women
  • various aspects of reproductive endocrinological disease
  • optimization of infertility treatment using various modalities
  • new modalities in reproductive medicine and gynecologic oncology

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Biomedicines
biomedicines
3.9 6.8 2013 17 Days CHF 2600 Submit
Diagnostics
diagnostics
3.3 5.9 2011 21 Days CHF 2600 Submit
Endocrines
endocrines
- 2.4 2020 41.7 Days CHF 1000 Submit
Journal of Clinical Medicine
jcm
2.9 5.2 2012 17.7 Days CHF 2600 Submit
Journal of Personalized Medicine
jpm
- 6.0 2011 21.5 Days CHF 2600 Submit
International Journal of Molecular Sciences
ijms
4.9 9.0 2000 20.5 Days CHF 2900 Submit

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Published Papers (4 papers)

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13 pages, 2506 KB  
Article
Spatial Distribution of Senescent Cells and Their Proximity to Immune Subsets in the Human Endometrium During the Implantation Window
by Dimitar Parvanov, Rumiana Ganeva, Margarita Ruseva, Maria Handzhiyska, Jinahn Safir, Lachezar Jelezarsky, Nina Vidolova, Dimitar Metodiev, Georgi Stamenov and Savina Hadjidekova
Diagnostics 2025, 15(21), 2679; https://doi.org/10.3390/diagnostics15212679 - 23 Oct 2025
Viewed by 291
Abstract
Background/Objectives: Senescent cells contribute to endometrial remodeling during the implantation window, but their spatial organization within the stroma remains poorly understood. This study aimed to characterize the distribution of senescent (p16-positive) cells in the functional layer of the endometrium and to evaluate [...] Read more.
Background/Objectives: Senescent cells contribute to endometrial remodeling during the implantation window, but their spatial organization within the stroma remains poorly understood. This study aimed to characterize the distribution of senescent (p16-positive) cells in the functional layer of the endometrium and to evaluate their spatial relationships with immune cell subsets. Methods: Endometrial biopsies from 68 women undergoing IVF were collected during the mid-luteal phase (LH+7, corresponding to the implantation window). Samples were analyzed by immunohistochemistry for p16 and immune markers (CD3, CD4, CD8, CD14, CD68, CD56, CD79α). Images from adjacent serial sections were digitally aligned, and senescent cell density, clustering, and nearest-neighbor distances to immune cells were quantified using HALO Image Analysis software (v3.4). Ratios of senescent-to-immune cell abundance were also calculated to account for stromal variability. Results: Senescent cells were heterogeneously dispersed within the stroma, with occasional high-density clusters. Quantitative analysis revealed that their abundance was lower than that of monocytes, macrophages, and total T cells, but higher than that of T-helper and B cells. Across patients, median senescent-to-immune cell ratios were approximately 1, indicating comparable abundances, except for CD4+ and CD79α+ subsets, where ratios were significantly elevated. Nearest-neighbor analysis showed that macrophages and monocytes localized in closest proximity to senescent cells (45 ± 20 μm and 45 ± 25 μm), while T-helper and NK cells were positioned at greater distances from senescent cells (102 ± 42 μm and 53 ± 23 μm, respectively). B cells showed the greatest separation (211 ± 66 μm). Correlation analysis confirmed density-driven proximity for most immune subsets, with CD4+ and CD56+ cells as exceptions, displaying limited spatial association with senescent cells. Conclusions: Senescent cells in the endometrium during the implantation window display heterogeneous distribution and selective spatial associations with immune subsets. Their preferential distancing from T-helper and NK cells suggests impaired local immune–senescence crosstalk, highlighting spatial profiling of senescent cells as a potential diagnostic marker of endometrial receptivity. Full article
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13 pages, 545 KB  
Article
The Diagnostic Utility of Prenatal Microarray in High-Risk Pregnancies: A Single-Center Experience in Enhancing Reproductive Care and Risk Stratification
by Abdullatif Bakır, Mustafa Tarık Alay, Umut Can Tekbaş, Sadun Sucu, İrem Kalay and Hanife Saat
Diagnostics 2025, 15(17), 2129; https://doi.org/10.3390/diagnostics15172129 - 23 Aug 2025
Viewed by 849
Abstract
Background/Objective: Prenatal cytogenetic testing is essential for pregnant women who are at high risk of having a child with a chromosomal abnormality. While conventional karyotyping detects large aneuploidies and structural rearrangements (>5–10 Mb), chromosomal microarray analysis (CMA) identifies smaller copy number variants (CNVs), [...] Read more.
Background/Objective: Prenatal cytogenetic testing is essential for pregnant women who are at high risk of having a child with a chromosomal abnormality. While conventional karyotyping detects large aneuploidies and structural rearrangements (>5–10 Mb), chromosomal microarray analysis (CMA) identifies smaller copy number variants (CNVs), increasing the diagnostic yield by approximately 5%. CMA is now recommended as the first-line test for evaluating fetal structural anomalies that are detected by ultrasound. Method: From March 2023 to September 2024, we analyzed 344 prenatal samples using conventional karyotyping and SNP-based CMA. Karyotyping was performed via flask culture, and CMA was conducted using the Infinium Global Screening Array Cyto (GSA-Cyto) on the Illumina iScan platform. We interpreted the CNVs using NxClinical v6.0 and curated databases including ClinVar, DECIPHER, OMIM, and ClinGen, among others. Our results aligned with the GRCh37/hg19 reference genome. Results: Chromosomal abnormalities were identified in 57/344 cases (16.5%). Of these, 39 cases were numerical chromosomal anomalies, and 18 cases were pathogenic or likely pathogenic CNVs. Notably, 11 CNVs (3.2%) were undetectable by conventional karyotyping, emphasizing the added value of CMA. Conclusions: CMA enhances the prenatal diagnostic accuracy by detecting submicroscopic CNVs that are not visible with conventional methods, supporting the routine use of this analysis in prenatal genetic evaluation. Full article
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24 pages, 4754 KB  
Article
Machine Learning Prediction of Short Cervix in Mid-Pregnancy Based on Multimodal Data from the First-Trimester Screening Period: An Observational Study in a High-Risk Population
by Shengyu Wu, Jiaqi Dong, Jifan Shi, Xiaoxian Qu, Yirong Bao, Xiaoyuan Mao, Mu Lv, Xuan Chen and Hao Ying
Biomedicines 2025, 13(9), 2057; https://doi.org/10.3390/biomedicines13092057 - 23 Aug 2025
Viewed by 948
Abstract
Background: A short cervix in the second trimester significantly increases preterm birth risk, yet no reliable first-trimester prediction method exists. Current guidelines lack consensus on which women should undergo transvaginal ultrasound (TVUS) screening for cost-effective prevention. Therefore, it is vital to establish [...] Read more.
Background: A short cervix in the second trimester significantly increases preterm birth risk, yet no reliable first-trimester prediction method exists. Current guidelines lack consensus on which women should undergo transvaginal ultrasound (TVUS) screening for cost-effective prevention. Therefore, it is vital to establish a highly accurate and economical method for use in the early stages of pregnancy to predict short cervix in mid-pregnancy. Methods: A total of 1480 pregnant women with singleton pregnancies and at least one risk factor for spontaneous preterm birth (<37 weeks) were recruited from January 2020 to December 2020 at the Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine. Cervical length was assessed at 20–24 weeks of gestation, with a short cervix defined as <25 mm. Feature selection employed tree models, regularization, and recursive feature elimination (RFE). Seven machine learning models (logistic regression, linear discriminant analysis, k-nearest neighbors, support vector machine, decision tree, random forest, XGBoost) were trained to predict mid-trimester short cervix. The XGBoost model—an ensemble method leveraging sequential decision trees—was analyzed using Shapley Additive Explanation (SHAP) values to assess feature importance, revealing consistent associations between clinical predictors and outcomes that align with known clinical patterns. Results: Among 1480 participants, 376 (25.4%) developed mid-trimester short cervix. The XGBoost-based prediction model demonstrated high predictive performance in the training set (Recall = 0.838, F1 score = 0.848), test set (Recall = 0.850, F1 score = 0.910), and an independent dataset collected in January 2025 (Recall = 0.708, F1 score = 0.791), with SHAP analysis revealing pre-pregnancy BMI as the strongest predictor, followed by second-trimester pregnancy loss history, peripheral blood leukocyte count (WBC), and positive vaginal microbiological culture results (≥105 CFU/mL, measured between 11+0 and 13+6 weeks). Conclusions: The XGBoost model accurately predicts mid-trimester short cervix using first-trimester clinical data, providing a 6-week window for targeted interventions before the 20–24-week gestational assessment. This early prediction could help guide timely preventive measures, potentially reducing the risk of spontaneous preterm birth (sPTB). Full article
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13 pages, 793 KB  
Article
Uterine Artery Embolization as an Alternative Therapeutic Option in Adenomyosis: An Observational Retrospective Single-Center Study
by Melinda-Ildiko Mitranovici, Dan Costachescu, Dan Dumitrascu-Biris, Liviu Moraru, Laura Georgiana Caravia, Florin Bobirca, Elena Bernad, Viviana Ivan, Adrian Apostol, Ioana Cristina Rotar and Lucian Marginean
J. Clin. Med. 2025, 14(11), 3788; https://doi.org/10.3390/jcm14113788 - 28 May 2025
Cited by 2 | Viewed by 2581
Abstract
Adenomyosis is a benign gynecologic disease that mainly affects women aged 30–50 years old. Background: This pathology is characterized by glands and stroma of the endometrium that enter the myometrium and is confirmed through histopathological examination after hysterectomy. Transvaginal ultrasound is the [...] Read more.
Adenomyosis is a benign gynecologic disease that mainly affects women aged 30–50 years old. Background: This pathology is characterized by glands and stroma of the endometrium that enter the myometrium and is confirmed through histopathological examination after hysterectomy. Transvaginal ultrasound is the most accepted imaging approach for the diagnosis and classification of adenomyosis. Existing medical treatments are not curative and are associated with several side effects. Uterine artery embolization is an alternative treatment for controlling the symptoms of adenomyosis with less trauma while preserving the uterus. Methods: The aim of our study was to observe the utility of uterine artery embolization (UAE) compared to hysterectomy in specific cases of adenomyosis. A retrospective cohort study was carried out between February 2024 and April 2025. We included 52 patients in our study: 27 opted for hysterectomy, while the other 25 chose to receive uterine artery embolization between January 2017 and December 2018. Clinical follow-up was assessed using a questionnaire regarding symptomatic changes in menorrhagia, pelvic pain, and quality of life before and after the surgical procedure. Statistical analyses were performed. Results: Patients opted for hysterectomy in cases of severe abnormal uterine bleeding before surgery that severely affected quality of life (p < 0.03 and p < 0.001). After surgery, pelvic pain improved for women who underwent UAE, but patients also reported no pelvic pain after hysterectomy. Furthermore, mild to moderate abnormal uterine bleeding was reported in cases of UAE, and bleeding stopped completely for women who had their uterus removed (p < 0.001). Quality of life improved for both groups and was reported as being good after the interventions. Conclusions: Embolization remains an alternative therapeutic option in adenomyosis but not a substitute for hysterectomy. This was concluded based on a case-by-case evaluation, depending on the desire for pregnancy, with a focus on improved clinical outcomes. Full article
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