Extrapelvic endometriosis can be associated with significant morbidity. Diagnosis is often delayed due to atypical and nonspecific symptoms, as well as the rarity of endometriosis implants in most extrapelvic sites. …
Background: Current endometriosis classification systems have important limitations in accurately describing total disease burden and predicting clinical outcomes. Existing staging frameworks often fail to integrate adenomyosis and do not adequately …
Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost entirely on laparoscopic visualization-an invasive procedure marked by considerable inter-observer disagreement and diagnostic delays. Existing non-invasive approaches, …
Mangroves are valuable reservoirs of diverse phytochemicals with significant therapeutic potential. Beyond their ecological roles, these bioactive compounds can influence epigenetic mechanisms, heritable changes in gene expression without alterations in …
The perception that hormonal contraception causes weight gain is a general belief that frequently hinders the initiation and continuation of effective family planning. This narrative review analyses data from Cochrane …
Ovarian cancer was the eighth most frequently diagnosed cancer among women in 2022. The global age-standardized incidence rate of ovarian cancer decreased from 7.22/100,000 to 6.71/100,000 from 1990 to 2021. …
Endometriosis (EMT) is an incurable and painful chronic illness that affects approximately 10% of people assigned female at birth worldwide. Currently, EMT takes on average 5-7 years to diagnose after …
Endometriosis, with a global prevalence of approximately 18%, is a chronic condition that significantly impacts patients' quality of life and increases the risk of depression. Despite growing public health concerns, …
Accessory Cavitated Uterine Malformation (ACUM) can be misdiagnosed as other uterine pathologies, such as Müllerian anomalies, adenomyosis, or fibroids. In the present case series, we report on data of eleven …
Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. We aimed to apply an epidemiological approach to demonstrate how a cancer detection …