BACKGROUND: In 2023, the International Federation of Gynecology and Obstetrics (FIGO) updated the endometrial cancer staging system (FIGO2023). Our study aimed to validate the prognostic value of FIGO2023 in patients with early-stage EC (Stage I and Stage II).
METHODS: After screening eligible EC patients from the Surveillance, Epidemiology and End Results (SEER) database, Kaplan-Meier cancer-specific survival (CSS) curves were used to evaluate the prognosis of patients with different stages. In addition, AUC, C-index, Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and Decision curve analysis (DCA) were used to comprehensively compare the efficacy of the new and the old staging system in predicting prognosis.
RESULTS: A total of 33,156 patients were enrolled. The introduction of FIGO2023 significantly increased the proportion of stage II patients from 5.53 % to 24.76 %. The FIGO2023 defines different substages for patients, which show significant differences in CSS. Compared with FIGO2009, FIGO2023 performed better in discrimination, goodness of fit and clinical decision making.
CONCLUSIONS: Compared with FIGO2009, FIGO2023 had a higher accuracy in predicting CSS in patients with early-stage EC in the SEER database.

OBJECTIVE: To clarify the diagnostic process of the causative disease of abnormal uterine bleeding (AUB) in Japan according to the International Federation of Gynecology and Obstetrics AUB diagnostic system.
METHODS: Patients diagnosed with AUB were included in a nationwide survey of AUB conducted during any 2-week period between December 2019 and January 2020. The second survey included information on patient background, AUB symptoms, examinations for diagnosing AUB, the order in which they were performed, and the causative diseases of AUB.
RESULTS: Correspondence analysis showed an association between hormonal testing, hysterosalpingography, and magnetic resonance imaging (MRI) in patients with amenorrhea, and heavy menstrual bleeding was strongly correlated with various examinations, such as coagulation tests, pelvic MRI, and endometrial cytology or biopsy. The results also indicated that each AUB causative disease can be diagnosed based on a specific examination profile.
CONCLUSIONS: We clarified the process of diagnosing the causative disease of AUB in our country and determined that it was mainly diagnosed by imaging and pathological examination in cases of structural disease. The high rate of AUB-E and the low rate of AUB-C are possibly associated with specific examination trends in Japan. The results of this study will be useful for the development of a standard protocol for AUB diagnosis in our country.

The FIGO endometrial cancer staging system recently released updated guidance based on clinical evidence gathered after the previous version was published in 2009. Different imaging modalities are beneficial across various stages of endometrial cancer (EC) management. Additionally, ongoing research studies are aimed at improving imaging in EC. Gynecological cancer is a crucial element in the practice of a body radiologist. With a new staging system in place, it is important to address the role of radiology in the EC diagnostic pathway. This article is a comprehensive review of the changes made to the FIGO endometrial cancer staging system and the impact of imaging in the staging of this disease.

BACKGROUND: To find the factors impacting overall survival (OS) prognosis in patients with endometrioid endometrial carcinoma (EEC) and adenocarcinoma and to establish a nomogram model to validate the 2023 International Federation of Obstetrics and Gynecology (FIGO) staging system for endometrial cancer.
METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) training cohort. An independent validation cohort was obtained from the First Affiliated Hospital of Anhui Medical University between 2008 and 2023. Cox regression analysis identified independent prognostic factors for OS in EEC and adenocarcinoma patients. A nomogram predicting OS was developed and validated utilizing the C-index, calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). The relationship between the tumor grade and prognosis of EEC and adenocarcinoma was quantified using net reclassification improvement (NRI), propensity score matching (PSM), and Kaplan-Meier curves.
RESULTS: Cox regression analysis identified age, race, marital status, tumor grade, tumor stage, tumor size, and chemotherapy as independent prognostic factors for OS. A nomogram for predicting OS was developed based on these factors. The C-indexes for the OS nomogram was 0.743 and 0.720 for the SEER training set and external validation set, respectively. The area under the ROC (AUC) for the OS nomogram was 0.755, 0.757, and 0.741 for the SEER data subsets and 0.844, 0.719, and 0.743 for the external validation subsets. Calibration plots showed high concordance between the nomogram-predicted and observed OS. DCA also demonstrated the clinical utility of the OS nomogram. NRI, PSM, and survival analyses revealed that tumor grade was the most important histopathological factor for EEC and adenocarcinoma prognosis.
CONCLUSIONS: Seven independent prognostic variables for the OS of patients with EEC and adenocarcinoma were identified. The established OS nomogram has good predictive ability and clinical utility and validates the 2023 endometrial cancer FIGO staging system.

To review the changes in the new version of the FIGO 2023 staging system for endometrial cancer.
The new FIGO 2023 endometrial cancer staging system provides key updates for the diagnosis and treatment of endometrial cancer. An important step in diagnosis is molecular classification, which allows more accurate risk stratification for recurrence and the identification of targeted therapies. The new staging system, based on the recommendations of the international societies ESGO, ESTRO and ESP, incorporates not only the description of the pathological and anatomical extent of the disease, but also the histopathological characteristics of the tumour, including the histological type and the presence of lymphovascular space invasion. In addition, the staging system uses molecular testing to classify endometrial cancers into four prognostic groups: POLEmut, MMRd, NSMP and p53abn. Each group has its own specific characteristics and prognosis. The most significant changes have occurred in stages I and II, in which the sub-staging better reflects the biological behaviour of the tumour. This update increases the accuracy of prognosis and improves individualized treatment options for patients with endometrial cancer.
The updated FIGO staging of endometrial cancer for 2023 incorporates different histologic types, tumour features, and molecular classifications to better reflect the current improved understanding of the complex nature of several endometrial cancer types and their underlying bio logic behaviour. The aim of the new endometrial cancer staging system is to better define stages with similar prognosis, allowing for more precise indication of individualised adjuvant radiation or systemic treatment, including the use of immunotherapy.

Embracing the complex and diverse nature of the heterogenous group of malignancies that are included under the umbrella of \"endometrial cancer\" (EC) to better align prognosis with treatment recommendations, requires a more comprehensive staging system. Our goal at the development of the new FIGO staging was to provide 1) high accuracy in the predictive prognosis for a patient with EC, which is the genuine purpose of a staging system, and 2) identification of distinct treatment relevant subgroups. Since the publication of the 2009 staging system by the International Federation of Gynecology and Obstetrics (FIGO) 14  years ago (1, 2), our understanding of the biology and natural history of EC has undergone a radical transformation. The TGCA results in 2013 (3), and the many validation reports published since then (4-9), have taught us that \"EC\" is composed of at least four distinct molecularly defined diseases. Strong histopathologic markers reflecting tumor biology such as lymph vascular space invasion (LVSI) were identified. Importantly, anatomical borders were shown to lose their prognostic relevance for EC patients in the presence of dominant tumor biology-markers such as molecular subtypes/LVSI (10, 11). This emphasizes the integration of these novel markers into a prognostic staging system that aims to be relevant to patients. The 2023 FIGO staging system for EC harmonizes and integrates old and new knowledge on anatomic, histopathologic, and molecular features (12). It requires a change in our perception of a staging system, from a traditional purely anatomical borders-based system to an integrated staging system integrating anatomical borders and tumor biology as pivotal prognostic factors for EC patients while providing important information for treatment decision making. Therefore, the 2023 FIGO staging system demonstrates the logical next step in the evolution of the revolution in a patient-centric staging approach. Below, we elucidate the rationale for the FIGO 2023 endometrial cancer staging system.

The International Federation of Gynecology and Obstetrics (FIGO) scoring system uses the sum of eight risk-factors to predict single-agent chemotherapy resistance in Gestational Trophoblastic Neoplasia (GTN). To improve ease of use, this study aimed to generate: (i) streamlined models that match FIGO performance and; (ii) visual-decision aids (nomograms) for guiding management.
Using training (n = 4191) and validation datasets (n = 144) of GTN patients from two UK specialist centres, logistic regression analysis generated two-factor models for cross-validation and exploration. Performance was assessed using true and false positive rate, positive and negative predictive values, Bland-Altman calibration plots, receiver operating characteristic (ROC) curves, decision-curve analysis (DCA) and contingency tables. Nomograms were developed from estimated model parameters and performance cross-checked upon the training and validation dataset.
Three streamlined, two-factor models were selected for analysis: (i) M1, pre-treatment hCG + history of failed chemotherapy; (ii) M2, pre-treatment hCG + site of metastases and; (iii) M3, pre-treatment hCG + number of metastases. Using both training and validation datasets, these models showed no evidence of significant discordance from FIGO (McNemar\'s test p > 0.78) or across a range of performance parameters. This behaviour was maintained when applying algorithms simulating the logic of the nomograms.
Our streamlined models could be used to assess GTN patients and replace FIGO, statistically matching performance. Given the importance of imaging parameters in guiding treatment, M2 and M3 are favoured for ongoing validation. In resource-poor countries, where access to specialist centres is problematic, M1 could be pragmatically implemented. Further prospective validation on a larger cohort is recommended.

An updated International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial carcinoma was introduced in June 2023. The new system represents a significant departure from traditional endometrial and other gynecological carcinoma staging systems which are agnostic of parameters such as tumor type, tumor grade, lymphovascular space invasion, and molecular alterations. The updated system, which incorporates all of these \'non-anatomical\' parameters, is an attempt to make staging more personalized and relevant to patient prognostication and management, and to align with the European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology (ESGO/ESTRO/ESP) risk stratification. Herein, we present a critical review of the new staging system and discuss its advantages and disadvantages. The authors propose that the new FIGO staging system should be first appraised at a multi-institutional and global level with the input of all relevant societies (gynecology, pathology, gynecologic oncology, medical oncology, radiation oncology) to understand the impact, scope, and supporting evidence of the proposed changes. Such a process is fundamental to produce a robust system that pathologists and treating clinicians can adopt.

Endometrial cancer in young women presents a unique challenge to care teams. With over 90% of cases diagnosed in women over the age of 50, its diagnosis can be delayed in younger patients if the medical team does not maintain a high enough index of suspicion. Once diagnosed, treatment options depend on a desire to maintain fertility. We present a case of a 36-year-old female who, following cross-sectional imaging and pathological analysis, was diagnosed with endometrioid endometrial adenocarcinoma. This case explores the epidemiology of endometrial cancer in young women and the importance of a multi-disciplinary approach to the diagnosis and treatment of this rare malignancy.

Cervical cancer continues to be among the most common malignancies in women, and in recent decades, important measures have been taken to reduce its incidence. The first and most important steps to achieve this goal are oriented toward prevention through screening programs and vaccination, mainly against oncogenic human papillomavirus (HPV) strains 16 and 18. The therapeutic approach is based on the diagnosis and treatment guidelines for cervical cancer, which establish for each stage (FIGO, TNM) specific conduct. These guidelines summarize quite precisely the elements of therapeutic practice, but, in some places, they leave optional variants based on which nuanced approaches could be established. Adherence to these guidelines, which include the performing of minor or major surgery, with or without chemotherapy and radiation therapy, combined with advanced imaging investigations, has been able to lead to a substantial increase in survival. The purpose of this literature review is to discuss the diagnosis and treatment options in cervical cancer depending on the histological type, FIGO staging, and patient performance index, taking into account the hospital resources available in middle-income countries (percentage of gross domestic product allocated to health services around 5.5%, in the case of Romania).