Window of Opportunity: Rate of Referral to Infertility Providers among Reproductive-Age Women with Newly Diagnosed Gynecologic Cancers.

Background/Objective: Fertility preservation is an important part of oncologic care for newly diagnosed gynecologic cancers for reproductive-age women, as many treatment options negatively impact fertility. The goal of this study is to examine factors that influence access to fertility specialists for women with newly diagnosed gynecologic cancer. Methods: This institutional review board approved a retrospective cohort study investigating the impacting factors on the referral rate from gynecologic oncologists (GO) to reproductive endocrinologists and infertility (REI) specialists at a single academic institution between 2010-2022 for patients age 18-41 at diagnosis. Electronic medical records were used to identify demographics and referral patterns. Mixed logistic models were utilized to control cluster effects of the physicians. Results: Of 816 patients reviewed, 410 met the criteria for inclusion. The referral rate for newly diagnosed gynecologic malignancies was 14.6%. Younger patients were more likely to have an REI referral (p < 0.001). The median time from first GO visit to treatment was 18.5 days, and there was no significant difference in those who had REI referrals (p = 0.44). Only 45.6% of patients had fertility desire documented. A total of 42.7% had fertility-sparing treatment offered by a GO. REI referral did not significantly change the time to treatment (p = 0.44). An REI referral was more likely to be placed if that patient had no living children, no past medical history, or if the referring GO was female (OR = 11.46, 6.69, and 3.8, respectively). Conclusions: Fertility preservation counseling is a critical part of comprehensive cancer care; yet, the referral to fertility services remains underutilized in patients with newly diagnosed gynecologic cancer. By demonstrating these biases in REI referral patterns, we can optimize provider education to enhance fertility care coordination.

From Diagnosis to Fertility: Optimizing Treatment of Adenomyosis for Reproductive Health.

Adenomyosis is a benign gynecologic disorder that had previously not been well studied or understood. However, it is now become a more common diagnosis with long-standing implications especially for fertility. In this literature review, the pathophysiology and diagnosis along with management options for uterine preservation and fertility along with more definitive options are reviewed. While there is a better understanding of adenomyosis, there is still more research that is needed to fully elucidate the best ways of management for patients especially in those seeking fertility.

Artificial Intelligence to Determine Fetal Sex.

OBJECTIVE: This proof-of-concept study assessed how confidently an artificial intelligence (AI) model can determine the sex of a fetus from an ultrasound image. STUDY DESIGN: Analysis was performed using 19,212 ultrasound image slices from a high-volume fetal sex determination practice. This dataset was split into a training set (11,769) and test set (7,443). A computer vision model was trained using a transfer learning approach with EfficientNetB4 architecture as base. The performance of the computer vision model was evaluated on the hold out test set. Accuracy, Cohen's Kappa and Multiclass Receiver Operating Characteristic area under the curve (AUC) were used to evaluate the performance of the model. RESULTS: The AI model achieved an Accuracy of 88.27% on the holdout test set and a Cohen's Kappa score 0.843. The ROC AUC score for Male was calculated to be 0.896, for Female a score of 0.897, for Unable to Assess a score of 0.916, and for Text Added a score of 0.981 was achieved. CONCLUSION: This novel AI model proved to have a high rate of fetal sex capture that could be of significant use in areas where ultrasound expertise is not readily available. KEY POINTS: · This is the first proof-of-concept AI model to determine fetal sex.. · This study adds to the growing research in ultrasound AI.. · Our findings demonstrate AI integration into obstetric care..

The Impact of Fertility Goals on Long-term Quality of Life in Reproductive-aged Women Who Underwent Myomectomy versus Hysterectomy for Uterine Fibroids.

STUDY OBJECTIVE: The objective of this study is to compare quality of life (QOL) for myomectomy with hysterectomy 1 to 5 years after surgical management for fibroids. This study evaluated the difference in QOL in a population of women of reproductive age, including those who desire fertility. DESIGN: A retrospective cohort study. INTERVENTIONS: Not applicable. SETTING: A large academic hospital. PATIENTS: A total of 142 women who underwent hysterectomy or myomectomy in 2015 to 2020. Included patients were women aged 18 years or older who underwent surgical intervention owing to uterine fibroids. MEASUREMENTS AND MAIN RESULTS: The 36-Item Short Form Health Survey (SF-36) provides a total score as a single measure of health-related QOL. The Uterine Fibroid Symptom Quality of Life Questionnaire for Hysterectomy and Myomectomy (UFS-QOL) is a patient-reported outcome measure of fibroid symptoms and health-related QOL after hysterectomy and myomectomy. There was no significant difference in SF-36 QOL scores in women after myomectomy who desired fertility compared with those who did not desire fertility, except in the social functioning domain (p = .025). UFS-QOL scores in women after myomectomy who desired fertility were not significantly different compared with women after myomectomy who did not desire fertility (p = .37). There were no significant differences between women who underwent myomectomy and hysterectomy in overall QOL scores on the SF-36 (p = .13) and UFS-QOL scores (p = .16). CONCLUSION: Myomectomy is not associated with significant differences in measures of general health and QOL compared with hysterectomy, making it a viable fibroid management option for women who desire fertility. Our study highlights the importance of discussing fertility goals and QOL when counseling patients for surgical fibroid treatment.

Uterus Transplantation: Revisiting the Question of Deceased Donors versus Living Donors for Organ Procurement.

Uterus transplantation is a surgical treatment for women with congenital or acquired uterine factor infertility. While uterus transplantation is a life-enhancing transplant that is commonly categorized as a vascular composite allograft (e.g., face or hand), it is similar to many solid organ transplants (e.g., kidney) in that both living donors (LDs) and deceased donors (DDs) can be utilized for organ procurement. While many endpoints appear to be similar for LD and DD transplants (including graft survival, time to menses, livebirth rates), there are key medical, technical, ethical, and logistical differences between these modalities. Primary considerations in favor of a LD model include thorough screening of donors, enhanced logistics, and greater donor availability. The primary consideration in favor of a DD model is the lack of physical or psychological harm to a living donor. Other important factors, that may not clearly favor one approach over the other, are important to include in discussions of LD vs. DD models. We favor a stepwise approach to uterus transplantation, one in which programs first begin with DD procurement before attempting LD procurement to maximize successful organ recovery and to minimize potential harms to a living donor.

Illustrating clinical relevance in the preclerkship medical school curriculum through active learning with KardiaMobile electrocardiography.

We introduced the AliveCor KardiaMobile electrocardiogram (ECG), a Food and Drug Administration (FDA)-approved, iPad-enabled medical device, into the preclerkship curriculum to demonstrate the clinical relevance of cardiac electrophysiology with active learning. An evaluation showed that medical students considered the KardiaMobile ECG active learning activity to be a valuable educational tool for teaching cardiac physiology.

Using a Macro Lens for Anterior Segment Imaging in Rural Panama.

Background: Visual impairment, specifically anterior segment pathology, presents a significant burden of disease in the world. Introduction: Inexpensive tools are necessary to improve eye health of residents in developing countries where care is difficult to access. Our study aimed at determining whether a $5 macro lens attached to a smartphone camera is an effective anterior segment imaging method for screening diseases. Materials and Methods: Fifty four (n = 54) patients had anterior segment imaging performed by using an Easy Macro lens and an iPhone. Imaging was performed at the Floating Doctors' mobile clinic sites in Panama. Images were sent back and graded by two board-certified ophthalmologists using a modified version of the FOTO-ED scale. Statistical analysis was performed by using a Wilcoxon signed-rank test to compare grades between the two imaging modalities. Results: There was no significant difference in overall clinical utility of images obtained by the iPhone versus Easy Macro lens. The iPhone was significantly superior in imaging of the lens and conjunctiva, whereas the Easy Macro lens was superior in regards to the anterior chamber, iris, and lens. Discussion: The imaging modality that best captures pathology is dependent on what part of the anterior segment is being examined. An imaging protocol with a pair of images, one from a smartphone and one from a macro lens, would have significant clinical utility. Conclusion: Our study demonstrates how minimally trained users can deliver effective eye screening via a telemedicine-based approach in a resource-deprived setting. Future directions would be to develop a telemedicine protocol and determine whether it improves clinically measurable outcomes in patients.

Association and regulation of protein factors of field effect in prostate tissues.

Field effect or field cancerization denotes the presence of molecular aberrations in structurally intact cells residing in histologically normal tissues adjacent to solid tumors. Currently, the etiology of prostate field­effect formation is unknown and there is a prominent lack of knowledge of the underlying cellular and molecular pathways. We have previously identified an upregulated expression of several protein factors representative of prostate field effect, i.e., early growth response-1 (EGR­1), platelet-derived growth factor­A (PDGF­A), macrophage inhibitory cytokine­1 (MIC­1), and fatty acid synthase (FASN) in tissues at a distance of 1 cm from the visible margin of intracapsule prostate adenocarcinomas. We have hypothesized that the transcription factor EGR­1 could be a key regulator of prostate field­effect formation by controlling the expression of PDGF­A, MIC­1, and FASN. Taking advantage of our extensive quantitative immunofluorescence data specific for EGR­1, PDGF­A, MIC­1, and FASN generated in disease­free, tumor­adjacent, and cancerous human prostate tissues, we chose comprehensive correlation as our major approach to test this hypothesis. Despite the static nature and sample heterogeneity of association studies, we show here that sophisticated data generation, such as by spectral image acquisition, linear unmixing, and digital quantitative imaging, can provide meaningful indications of molecular regulations in a physiologically relevant in situ environment. Our data suggest that EGR­1 acts as a key regulator of prostate field effect through induction of pro­proliferative (PDGF­A and FASN), and suppression of pro­apoptotic (MIC­1) factors. These findings were corroborated by computational promoter analyses and cell transfection experiments in non­cancerous prostate epithelial cells with ectopically induced and suppressed EGR­1 expression. Among several clinical applications, a detailed knowledge of pathways of field effect may lead to the development of targeted intervention strategies preventing progression from pre-malignancy to cancer.