Somayeh Attarian, Zhaleh Feyzi, Jamshid Jamali
et al.
Background: Given the high rate of cesarean section complications, mothers who have had previous cesarean sections should change their behavior toward delivery. Self-efficacy plays important role in mother's ability to adapt to vaginal birth and reduce tendency to cesarean section.Aim: The current research was conducted with aim to investigate the individual counseling based on Fogg behavior model and its effect on decision self-efficacy and decision conflict to choose vaginal birth after cesarean section.Method: This randomized clinical trial study was performed on 62 pregnant women referred to the comprehensive health centers of Mashhad in 2020. The intervention group received two face-to-face individual counseling sessions based on Fogg’s model every 2 weeks for 45-60 minutes and one virtual session on the Telegram channel. Data analysis was done using SPSS software (version 25) and the statistical tests of Mann-Whitney, Chi-square, Fisher exact, independent t and paired t-test. p<0.05 was considered significant.Results: Mean score of Fogg’s model showed a significant difference between the two groups (2.79±0.52 vs. 2.33±0.31). Mean score of decision self-efficacy and decision conflict had a statistically significant difference after the intervention (3.44±0.45 and 1.03±0.33, respectively) compared to before the intervention (2.57±0.97 and 1.44±0.59, respectively) in two groups. The mean score of Fogg’s questionnaire was significantly different between the two groups (p<0.05).Implications for Practice: Counseling based on Fogg model promotes decision self-efficacy and reduces decision conflict in choosing vaginal birth after cesarean section. Maternal health care providers should consider this approach in consultation with previous cesarean section mothers.
Aims: This study aimed to construct a core competency index system for breastfeeding consultant nurses based on the Onion Model to improve their consulting abilities and promote breastfeeding rates. Design: This study adopted a phenomenological approach to explore the experiences of breastfeeding consultant nurses and lactating women through semi-structured interviews. The Delphi method was then used for expert validation of the initial competency framework. We focused on the core competencies of nurses and midwives who provide breastfeeding consultation in clinics, maternity wards, and Internet hospitals in China to improve their breastfeeding consultation ability and promote the improvement of breastfeeding rates. Methods: Through a literature review, competency items were extracted based on the clinical competencies of International Board-Certified Lactation Consultants (IBCLCs), and an initial competency framework was developed. In this study, 18 breastfeeding consultant nurses and 11 lactating women participated in semi-structured interviews to provide in-depth feedback on their experiences and challenges in breastfeeding consultation. Two rounds of Delphi expert consultations were conducted, and the Analytic Hierarchy Process (AHP) was used to determine the core competency indices and their weights. Results: The final core competency index system for breastfeeding consultant nurses in China consisted of four first-level, 15 second-level, and 95 third-level indices. The positive coefficients of the two rounds of expert consultation were both 100%; expert authority (Cr = 0.92) was high, and Kendall's W values were 0.206 (χ2 = 293.69) and 0.296 (χ2 = 62.07), with statistical significance (P < 0.01). The weight rankings of the first-level indices were as follows: core knowledge and skills (0.3498), professional ability (0.2858), maintenance of professional standards (0.1915), and professional and personal traits (0.1728). All consistency tests were passed (CR < 0.10). Conclusions: The core competency index system for breastfeeding consultant nurses developed in this study is scientifically grounded, systematic, and authoritative. It provides strong support for the education and practice of breastfeeding consultant nurses in China and offers a theoretical foundation and practical framework to improve breastfeeding rates and nursing quality.
Abstract Objectives Cervical cancer is one of the most frequently diagnosed cancers and a leading cause of cancer-related deaths in women in low- and middle-income countries (LMICs), accounting for nearly 85% of the global cervical cancer burden. High-risk human papillomavirus (hrHPV) infection is the main cause of cervical cancer. Easy-to-use, rapid, scalable, high-throughput, and cost-effective HPV tests are urgently needed for low-resource settings. Atila Biosystems’ clinically validated ScreenFire HPV Risk Stratification (RS) assay identifies 13 hrHPV in 4 groups based on their oncogenic risk (i.e., HPV16, HPV18/45, HPV31/33/35/52/58, and HPV51/59/39/56/68). While the current standard format is subject to laboratory contamination Atila has developed an innovative, contamination-preventive Zebra BioDome format. Recently we published the analytical performance of ScreenFire RS Zebra BioDome on the BioRad CFX-96 real-time PCR instrument. This current study evaluated its analytical performance on three additional qPCR platforms: Atila Portable iAMP-PS96, Atila Powergene9600 Plus, and Thermo Fisher Quantstudio-7. Methods We tested 173 DNA samples from Nigerian women with cervical cancer. These samples were tested simultaneously using the ScreenFire HPV Zebra BioDome assay (M5FHPV-96) on four different real-time PCR machines (Atila portable iAMP-PS96, Atila Powergene9600 Plus, Thermo Fisher QuantStudio-7, and BioRad CFX-96). We used overall agreement rate and unweighted kappa values to compare different platforms. Results The overall agreement for detection of hrHPV using Atila portable iAMP-PS96 was 96.5% with kappa value 0.95 (95% confidence interval: 0.91–0.99) compared to Thermo Fisher QuantStudio-7, and 97.1% with kappa value 0.96 (95% confidence interval: 0.92–0.99) compared to BioRad CFX-96. For genotype HPV16 and risk stratification (RS) genotype groups (HPV18/45, HPV31/33/35/52/58, and HPV51/59/39/56/68) agreement rates were all > 98.3%. For Atila Powergene9600 Plus the overall agreement was 98.8% with a kappa value of 0.98 (95% confidence interval: 0.96–1.0) compared to Thermo Fisher QuantStudio-7, and 96.5% with a kappa value of 0.96 (95% confidence interval: 0.94–0.99) compared to BioRad CFX-96. The agreements for the HPV16 and RS genotype groups (HPV18/45, HPV31/33/35/52/58, and HPV39/51/56/59/68) were at least 98.3%. Conclusion The novel ScreenFire HPV Zebra BioDome format produced highly concordant hrHPV positivity and RS genotype results on all four qPCR platforms. The data suggests that this innovative technology has the potential to improve HPV testing uptake in low-resource settings without further investment in purchasing new equipment.
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Infectious and parasitic diseases
Hendrio Braganca, Diego Kreutz, Vanderson Rocha
et al.
We present MH-1M, one of the most comprehensive and up-to-date datasets for advanced Android malware research. The dataset comprises 1,340,515 applications, encompassing a wide range of features and extensive metadata. To ensure accurate malware classification, we employ the VirusTotal API, integrating multiple detection engines for comprehensive and reliable assessment. Our GitHub, Figshare, and Harvard Dataverse repositories provide open access to the processed dataset and its extensive supplementary metadata, totaling more than 400 GB of data and including the outputs of the feature extraction pipeline as well as the corresponding VirusTotal reports. Our findings underscore the MH-1M dataset's invaluable role in understanding the evolving landscape of malware.
Traditional Chinese Medicine (TCM) represents a rich repository of ancient medical knowledge that continues to play an important role in modern healthcare. Due to the complexity and breadth of the TCM literature, the integration of AI technologies is critical for its modernization and broader accessibility. However, this integration poses considerable challenges, including the interpretation of obscure classical Chinese texts and the modeling of intricate semantic relationships among TCM concepts. In this paper, we develop OpenTCM, an LLM-based system that combines a domain-specific TCM knowledge graph and Graph-based Retrieval-Augmented Generation (GraphRAG). First, we extract more than 3.73 million classical Chinese characters from 68 gynecological books in the Chinese Medical Classics Database, with the help of TCM and gynecology experts. Second, we construct a comprehensive multi-relational knowledge graph comprising more than 48,000 entities and 152,000 interrelationships, using customized prompts and Chinese-oriented LLMs such as DeepSeek and Kimi to ensure high-fidelity semantic understanding. Last, we empower OpenTCM with GraphRAG, enabling high-fidelity ingredient knowledge retrieval and diagnostic question-answering without model fine-tuning. Experimental evaluations demonstrate that OpenTCM achieves mean expert scores (MES) of 4.378 in ingredient information retrieval and 4.045 in diagnostic question-answering tasks, outperforming state-of-the-art solutions in real-world TCM use cases.
Background: Cesarean section rate is rising globally, now accounting for more than 1 in 5 (21%) of all childbirths. This number is set to continue increasing over the coming decade unless the factors which increase the rate of cesarean section are kept in check. Intrapartum cardiotocography (CTG) has shown a false-positive rate of cesarean section. This has been correlated with neonatal umbilical cord blood pH analysis.
Aims and Objectives: (1) Correlation of non-reassuring CTG, resulting in cesarean section with umbilical cord arterial blood pH. (2) To find the false-positive indications of cesarean section due to CTG.
Materials and Methods: This observational study was conducted in the Department of Obstetrics and Gynecology of SKIMS, Soura, from September 2020 to July 2022 over a period of 22 months. Women with a gestational age of more than 34 weeks with singleton pregnancy were included in the study. Those with CTG-documented fetal distress were subjected to umbilical cord arterial blood pH monitoring.
Results: A total of 85 patients underwent cesarean sections in view of fetal distress documented by CTG, but only 45 neonates had actual distress as documented by umbilical cord blood sampling.
Conclusion: Social and non-medical factors no doubt have caused an alarming rise in cesarean sections, but at the same time, there are some iatrogenic causes, namely CTG, which lead to the rise in the cesarean section rate due to false-positive indications. This has been further supported by the fact that the pH of the umbilical cord blood of neonates with intrapartum non-reassuring CTG does not correspond to fetal acidemia in all cases. Hence, a significant number of cesarean sections is being done for false-positive indications.
David Aponte, Jonathan Barés, Mathieu Renouf
et al.
In this study, we investigate the stability and solid fraction of columns comprised of highly non-convex particles. These particles are constructed by extruding arms onto the faces of Platonic solids, a configuration we term \emph{Platonic polypods}. We explore the emergence and disappearance of solid-like behavior in the absence of adhesive forces between the particles, referred to as \emph{geometric cohesion}. This investigation is conducted by varying the number of arms of the particles and the thickness of these arms. To accomplish this, columns are assembled by depositing particles within a cylindrical container, followed by the removal of the container to evaluate the stability of the resulting structures. Experiments were carried out using three distinct materials to assess the influence of the friction coefficient between the grains. Our findings reveal that certain granular systems exhibit geometric cohesion, depending on their geometrical and contact properties. Furthermore, we analyze the initial solid fraction of the columns, demonstrating that these arrangements can achieve stability even at highly loose states, which contrasts with traditional granular materials.
Cong You,1 Kun Wang,1 Mingyi Liao,1 Luying Zhang,1 Mintong He,1 Xiaoying Ye,1 Yongzhang Qin,2 Tao Yang1 1Department of Dermatology and Venereology; Candidate Branch of National Clinical Research Centre for Skin and Immune Diseases, The First Affiliated Hospital of Gannan Medical University, Ganzhou, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, People’s Republic of ChinaCorrespondence: Tao Yang, Department of Dermatology and Venereology, Candidate Branch of National Clinical Research Centre for Skin and Immune Diseases, The First Affiliated Hospital of Gannan Medical University, Ganzhou, People’s Republic of China, Tel +8618720732351, Email danny20021068@sina.comAbstract: Condylomata lata are flat-topped, moist papules or plaques usually found in the anogenital area as cutaneous manifestations of secondary syphilis. Here, we present a unique case of a solitary interdigital condyloma latum of secondary syphilis in a 16-year-old female sex worker without other cutaneous findings. Sexual contact history, histopathology, including direct detection of Treponema pallidum, and serological tests were essential for the diagnosis of this case. The patient reached serological cure with two doses of intramuscularly delivered penicillin G benzathine. Owing to the dramatic rise in the incidence of primary and secondary syphilis, medical workers should be aware of the atypical skin manifestations of secondary syphilis in adolescents who are at risk of acquiring sexually transmitted diseases to avoid the progression to late syphilis and further transmission to sexual partners.Keywords: interdigital condyloma latum, secondary syphilis, female adolescent
Liisa Hantsoo, Kathleen M. Jagodnik, Andrew M. Novick
et al.
The aim of this narrative review is to consolidate knowledge on the role of the hypothalamic-pituitary-adrenal (HPA) axis in depression pathophysiology at different reproductive stages across the female lifespan. Despite growing evidence about the impact of gonadal hormones on mood disorders, no previous review has examined the interaction between such hormonal changes and the HPA axis within the context of depressive disorders in women. We will focus on HPA axis function in depressive disorders at different reproductive stages including the menstrual cycle (e.g., premenstrual dysphoric disorder [PMDD]), perinatally (e.g., postpartum depression), and in perimenopausal depression. Each of these reproductive stages is characterized by vast physiological changes and presents major neuroendocrine reorganization. The HPA axis is one of the main targets of such functional alterations, and with its key role in stress response, it is an etiological factor in vulnerable windows for depression across the female lifespan. We begin with an overview of the HPA axis and a brief summary of techniques for measuring HPA axis parameters. We then describe the hormonal milieu of each of these key reproductive stages, and integrate information about HPA axis function in depression across these reproductive stages, describing similarities and differences. The role of a history of stress and trauma exposure as a contributor to female depression in the context of HPA axis involvement across the reproductive stages is also presented. This review advances the pursuit of understanding common biological mechanisms across depressive disorders among women. Our overarching goal is to identify unmet needs in characterizing stress-related markers of depression in women in the context of hormonal changes across the lifespan, and to support future research in women’s mental health as it pertains to pathophysiology, early diagnosis, and treatment targets.
Diseases of the endocrine glands. Clinical endocrinology
3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current state-of-the art methods focus on estimating dense pixel-/voxel-wise motion fields in image space, which ignores the fact that motion estimation is only relevant and useful within the anatomical objects of interest, e.g., the heart. In this work, we model the heart as a 3D mesh consisting of epi- and endocardial surfaces. We propose a novel learning framework, DeepMesh, which propagates a template heart mesh to a subject space and estimates the 3D motion of the heart mesh from CMR images for individual subjects. In DeepMesh, the heart mesh of the end-diastolic frame of an individual subject is first reconstructed from the template mesh. Mesh-based 3D motion fields with respect to the end-diastolic frame are then estimated from 2D short- and long-axis CMR images. By developing a differentiable mesh-to-image rasterizer, DeepMesh is able to leverage 2D shape information from multiple anatomical views for 3D mesh reconstruction and mesh motion estimation. The proposed method estimates vertex-wise displacement and thus maintains vertex correspondences between time frames, which is important for the quantitative assessment of cardiac function across different subjects and populations. We evaluate DeepMesh on CMR images acquired from the UK Biobank. We focus on 3D motion estimation of the left ventricle in this work. Experimental results show that the proposed method quantitatively and qualitatively outperforms other image-based and mesh-based cardiac motion tracking methods.
β-Sitosterol (SIT), a white powdery organic substance with a molecular formula of C29H50O, is one of the most abundant naturally occurring phytosterols in plants. With a chemical composition similar to that of cholesterol, SIT is applied in various fields such as medicine, agriculture, and chemical industries, owing to its unique biological and physicochemical properties. Modern pharmacological studies have elucidated good anti-tumor therapeutic effect activity of SIT, which mainly manifests as pro-apoptotic, anti-proliferative, anti-metastatic, anti-invasive, and chemosensitizing on tumor cells. In addition, SIT exerts an anti-tumor effect on multiple malignant tumors such as breast, gastric, lung, kidney, pancreatic, prostate, and other cancers. Further, SIT derivatives with structural modifications are promising anti-tumor drugs with significant anti-tumor effects. This review article focuses on recent studies relevant to the anti-tumor effects of SIT and summarizes its anti-tumor mechanism to provide a reference for the clinical treatment of malignant tumors and the development of novel anti-tumor drugs.
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Salient object detection in optical remote sensing images (ORSI-SOD) has been widely explored for understanding ORSIs. However, previous methods focus mainly on improving the detection accuracy while neglecting the cost in memory and computation, which may hinder their real-world applications. In this paper, we propose a novel lightweight ORSI-SOD solution, named CorrNet, to address these issues. In CorrNet, we first lighten the backbone (VGG-16) and build a lightweight subnet for feature extraction. Then, following the coarse-to-fine strategy, we generate an initial coarse saliency map from high-level semantic features in a Correlation Module (CorrM). The coarse saliency map serves as the location guidance for low-level features. In CorrM, we mine the object location information between high-level semantic features through the cross-layer correlation operation. Finally, based on low-level detailed features, we refine the coarse saliency map in the refinement subnet equipped with Dense Lightweight Refinement Blocks, and produce the final fine saliency map. By reducing the parameters and computations of each component, CorrNet ends up having only 4.09M parameters and running with 21.09G FLOPs. Experimental results on two public datasets demonstrate that our lightweight CorrNet achieves competitive or even better performance compared with 26 state-of-the-art methods (including 16 large CNN-based methods and 2 lightweight methods), and meanwhile enjoys the clear memory and run time efficiency. The code and results of our method are available at https://github.com/MathLee/CorrNet.
Eleni Nisioti, Elías Masquil, Gautier Hamon
et al.
In the intrinsically motivated skills acquisition problem, the agent is set in an environment without any pre-defined goals and needs to acquire an open-ended repertoire of skills. To do so the agent needs to be autotelic (deriving from the Greek auto (self) and telos (end goal)): it needs to generate goals and learn to achieve them following its own intrinsic motivation rather than external supervision. Autotelic agents have so far been considered in isolation. But many applications of open-ended learning entail groups of agents. Multi-agent environments pose an additional challenge for autotelic agents: to discover and master goals that require cooperation agents must pursue them simultaneously, but they have low chances of doing so if they sample them independently. In this work, we propose a new learning paradigm for modeling such settings, the Decentralized Intrinsically Motivated Skills Acquisition Problem (Dec-IMSAP), and employ it to solve cooperative navigation tasks. First, we show that agents setting their goals independently fail to master the full diversity of goals. Then, we show that a sufficient condition for achieving this is to ensure that a group aligns its goals, i.e., the agents pursue the same cooperative goal. Our empirical analysis shows that alignment enables specialization, an efficient strategy for cooperation. Finally, we introduce the Goal-coordination game, a fully-decentralized emergent communication algorithm, where goal alignment emerges from the maximization of individual rewards in multi-goal cooperative environments and show that it is able to reach equal performance to a centralized training baseline that guarantees aligned goals. To our knowledge, this is the first contribution addressing the problem of intrinsically motivated multi-agent goal exploration in a decentralized training paradigm.
University of Iowa Obstetrics and Gynecology Postgraduate Conference
New Technologies in Obstetrics and Gynecology, University of Iowa Obstetrics and Gynecology Postgraduate Conference, Hyatt Regency Coralville, Coralville, IA. November 4, 2022Poster Presentations
Background The coronavirus disease of 2019 (COVID-19) pandemic has become the most challenging issue for healthcare organizations and governments all over the world. The lack of evidence-based data on the management of COVID-19 infection during pregnancy causes an additional stress for obstetrics healthcare providers (HCPs). Therefore, this study was undertaken to evaluate depression, perceived social support, and quality of life among obstetrics HCPs. Materials and Methods This cross-sectional multicenter study was conducted in eight cities in Iran. During the study period, 599 HCPs were separated into direct, no direct, and unknown contact groups according to their exposure to COVID-19-infected pregnant patients. The Patient Health Questionaire-9 (PHQ-9), Multidimensional Scale of Perceived Social Support (MSPSS), and Short Form-36 (SF-36) were used to assess depression, perceived social support, and quality of life. Results Obstetrics and gynecology specialists had significantly higher social functioning and general health scores compared to other HCPs (residents/students or nurses/midwives). Depression was negatively correlated with most of the domains of quality of life, regardless of the COVID-19 contact status of the study participants. Social support, however, was positively correlated with some domains of quality of life, such as physical functioning, energy/fatigue, and emotional well-being, among staff members who had either direct contact or no contact with COVID-19 patients. Conclusion During the COVID-19 outbreak, the depression score among obstetrics HCPs was negatively associated with quality of life. Social support, however, had a reinforcing effect on quality of life.
BACKGROUND The publication of invalid scientific findings may have profound implications on medical practice. As the incidence of article retractions has increased over the last 2 decades, organizations have formed, including Retraction Watch, to improve the transparency of scientific publishing. At present, the incidence of article retraction in the obstetrics and maternal-fetal medicine literature is unclear. OBJECTIVE This study aimed to determine the number of retracted articles within the obstetrics and maternal-fetal medicine literature from the PubMed and Retraction Watch databases and examine reasons for retraction. STUDY DESIGN A retrospective review of the PubMed and Retraction Watch databases was performed to identify retracted articles in the obstetrics and maternal-fetal medicine literature from indexation through December 31, 2019. The primary outcome was defined as the number of identified articles and reason for retraction. Within PubMed, articles were identified using a medical subheading search for articles categorized as withdrawn or retracted. In addition, the Retraction Watch database was queried and nonobstetrical articles were excluded. The reason for retraction was classified according to the categories listed in Retraction Watch. The subject matter was classified on the basis of the Society for Maternal-Fetal Medicine criteria. Data were collected from retracted articles for author name, country, journal name and impact factor, year of publication and retraction, study type, and response of the publishing journal. Descriptive statistics were performed. RESULTS Of the 519 obstetrics and gynecology articles in Retraction Watch, 122 (23.5%) were specific to the obstetrics and maternal-fetal medicine specialties. In addition, 39 (32.0%) were identified from PubMed, all of which were included in Retraction Watch. There was a median time to retraction of 1 (range, 0-17) year, with a median of 3 citations per article (range, 0-145). In addition, the median journal impact factor was 2.2 (range, 0.1-27.6), with median first and senior author Hirsch index values of 6.0 and 13.5, respectively. Most articles were original research (n=80; 65.6%), specifically retrospective studies (n=11; 9.0%), case reports (n=19; 15.6%), prospective studies (n=18; 14.8%), randomized controlled trials (n=11; 9%), basic science (n=18; 14.8%), and systematic review or meta-analysis (n=3; 2.5%). Of eligible articles, 32 (26.2%) were published in journals with an impact factor ≥4, and 21 articles (17.2%) were published in the top 10 leading impact factor obstetrics and gynecology journals. Most retractions were for content-related issues (n=87; 71.3%), including 21.3% (n=26) for article duplication, 18.9% (n=23) for plagiarism, and 16.4% (n=20) for errors in results or methods. Additional reasons included author misconduct (n=12; 9.8%), nonreproducible results (n=11; 9.0%), and falsification (n=8; 6.6%). The most common journal response was an issued statement of retraction (n=82; 67.2%). Lack of retraction notice and limited to no information provided by the publishing journal occurred in 19 retracted articles (15.6%). CONCLUSION In the obstetrics and maternal-fetal medicine literature, retraction of scientific articles is increasing and is most often related to scientific misconduct, including article duplication and plagiarism. Improved prevention and detection are warranted by journals and healthcare institutions to ensure that invalid findings are not perpetuated in the medical literature, thereby avoiding adverse consequences for maternal and perinatal care.
ABSTRACT: Introduction: Treatment for vulvodynia is challenging and a multidisciplinary approach is recommended. Aim: To examine the effectiveness, safety and treatment satisfaction of vulvovaginal microablative laser treatment for vulvodynia. Methods: Case study of women who received laser treatment as part of a multidisciplinary treatment program for vulvodynia. Subjective improvement was compared to a retrospective cohort of women treated for vulvodynia without LASER therapy. LASER treatment was offered to women with vulvodynia presenting to a gynecologic pain clinic of a tertiary university hospital. LASER treatments were performed with a microablative 2,940 nm Er:YAG LASER and potentially repeated after 1 month. Main outcome measures: Change in local vulvar pain was assessed with cotton-swab tests and rated on a numeric rating scale (NRS). Treatment discomfort and short-term adverse events were recorded. The Freiburg Index of Patient Satisfaction was used to assess treatment satisfaction. Subjective symptom improvement was assessed with the Patient Global Impression of Improvement questionnaire. Results: 35 women received at least 1 laser treatment, with overall mild treatment adverse effects (mean pain NRS 2.4 ± 1.9) and good treatment satisfaction (mean total score of 27.6 ±5.1; potential range 8–32). One month after last LASER treatment the pain NRS on vulvar cotton swab test improved from 6.1 ± 2.6 at baseline to 3.1 ± 2.6 (P < .001), and 74% of women (n = 26) reported symptom improvement. At 9–12 months follow-up 66% reported ongoing symptom improvement, with no significant difference to the control group of 32 women. Conclusion: Microablative Er:YAG vulvovaginal LASER therapy appears safe and well accepted among vulvodynia patients, but there was no significant difference in symptom improvement compared to a control group.Trutnovsky G, Bliem B, Greimel E, et al. Microablative Erbium: YAG Laser Therapy for Vulvodynia – A Report on Efficacy, Safety, and Treatment Satisfaction. Sex Med 2021;9:100432.
Abstract Background Cervical cancer is the second-most common gynecological cancer, early screening plays a key role in the diagnosis and treatment of cervical intraepithelial neoplasia (CIN). Sustained E7 protein expression is the pathological basis for CIN and cervical cancer. Methods We collected the cervical cell samples of women who visited the gynecological clinic of Peking Union Medical College Hospital between September 2018 and September 2019 and submitted them to the high-risk human papillomavirus (Hr-HPV) test. We performed a magnetic particle–based chemiluminescence enzyme immunoassay to analyze the HPV16/18 E7 protein level in CIN of different severities and compared the results with those of cervical pathology (gold standard) and the HPV test. Results The positive rate of HPV16/18 E7 protein increased with the severity of CIN: 26.6% in normal tissue, 58.3% in CIN1, and 70.6% in CIN2 or higher (CIN2+). For CIN2+, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the E7 protein were 70.6, 67.9, 52.2, and 82.3%, respectively. These values of the HPV test were 86.8, 44.5, 43.7, and 87.1%, respectively. With the combination of the E7 protein assay and HPV test, the specificity for diagnosing CIN2+ was 78.1%, which was significantly higher than that of the HPV test alone. Conclusions HPV16/18 E7 protein level is correlated with the severity of CIN and has a high concordance rate with the pathological result. For cervical cancer screening, the combination of HPV16/18 E7 protein assay and HPV test improves the CIN diagnostic specificity, detection rate, and detection accuracy.
Neoplasms. Tumors. Oncology. Including cancer and carcinogens