Luca Russo

European Society of Urogenital Radiology (ESUR) guidelines on MR imaging prior to fertility-sparing treatments in patients with cervical, endometrial, and ovarian cancers

To establish standardised MRI protocols and structured reporting guidelines for optimal patient selection in fertility-sparing treatments for gynaecological cancers. The European Society of Urogenital Radiology (ESUR) Female Pelvis Working Group utilised the RAND-UCLA Appropriateness Method to develop these guidelines. A multidisciplinary panel composed of ten radiologists and two gynaecological oncologists conducted a comprehensive review of clinical and imaging literature (until 28th February 2025) and evaluated MRI protocols through a structured survey consisting of 104 questions across five sections covering MR imaging preparation, equipment specifications, protocols, and reporting standards. Recommendations achieving ≥ 80% consensus were designated as "RECOMMENDED", with those below this threshold marked as "SUGGESTED" or "NOT RECOMMENDED". Consensus was reached on MRI technical requirements, including sequence selection, imaging planes, and contrast timing. Disease-specific structured reporting templates were developed with standardised criteria for cervical, endometrial and ovarian cancers. These evidence-based guidelines provide a standardised framework for MRI acquisition and reporting to support optimal patient selection for fertility-sparing treatments. By harmonising imaging protocols and structured reporting, we aim to enhance diagnostic accuracy and clinical decision-making. These guidelines represent a key step toward developing comprehensive recommendations for fertility preservation, with future validation and adaptation ensuring their applicability across diverse clinical settings. Question Fertility-sparing treatments in gynaecological cancers require adherence to strict selection criteria based on tumour stage, size, and histological subtype. Findings MRI is essential for accurately assessing eligibility criteria in cervical and endometrial cancers, and characterising adnexal masses using standardised reporting criteria. Clinical relevance MRI is valuable for the preoperative evaluation of patients considered for fertility-sparing treatments in gynaecologic cancers. Key parameters include precise tumour measurements, depth of invasion, and local tumour extent through optimised protocols combining anatomical and functional sequences.

Pelvic insufficiency fractures in locally advanced cervical cancer: the diagnostic yield of post-treatment MRI in a tertiary centre

To assess the incidence of pelvic insufficiency fractures (PIFs) after concurrent chemoradiotherapy (CCRT) in patients with locally advanced cervical cancer (LACC), their time of onset and risk factors. We also analysed the inter-observer agreement between gynaecologic radiologists (GYN readers) and radiologists expert in musculoskeletal imaging (MSK reader) in detecting PIFs in our tertiary care centre. Patients with confirmed LACC who underwent concurrent chemoradiation (CCRT) at our institution from June 2019 to November 2022 were retrospectively included. These patients underwent follow-up pelvic MRI every 3-6 months after CCRT. Cohen's kappa statistics was employed to assess the inter-observer agreement between GYN and MSK readers.Logistic regression analysis was performed calculating odds ratios (OR) to identify risk factors for PIFs, such as age, body mass index (BMI), diabetes, smoking, hypertension, renal function and tumour size. Eighty-seven patients were included. PIFs were diagnosed in 21/87 (24.1 %) patients with a median onset time of 7.4 months from the end of EBRT. Among risk factors, age was statistically associated with PIFs (OR = 1.057, 95 % CI: 1.005-1.118, p = 0.033) with median age in the fracture group of 61.1 years (range: 52.0-71.5) and 53.8 years (range: 43.8-63.3). BMI was a significant predictor of PIFs (OR = 1.134; 95 % CI: 1.013-1.285; p = 0.027), with a higher median BMI among patients with PIFs (26.5; range: 21.5-31.2) compared to non-fractured patients (23.1; range: 20.2-25.1). Also patients with reduced renal function (eGFR < 60 mL/min) had 3.437 times higher odds of experiencing fractures compared to those with normal eGFR. The GYN readers correctly identified PIFs in 2/21 cases and agreed with the MSK reader in 68/87 cases. The interobserver agreement was poor to fair (K = 0.138; 95 % CI: 0-0.311). PIFs are a common complication of CCRT. Their identification on post-CCRT MRI may decrease the need for further targeted investigations and invasive treatments.

Radiomics systematic review in cervical cancer: gynecological oncologists’ perspective

Radiomics is the process of extracting quantitative features from radiological images, and represents a relatively new field in gynecological cancers. Cervical cancer has been the most studied gynecological tumor for what concerns radiomics analysis. The aim of this study was to report on the clinical applications of radiomics combined and/or compared with clinical-pathological variables in patients with cervical cancer. A systematic review of the literature from inception to February 2023 was performed, including studies on cervical cancer analysing a predictive/prognostic radiomics model, which was combined and/or compared with a radiological or a clinical-pathological model. A total of 57 of 334 (17.1%) screened studies met inclusion criteria. The majority of studies used magnetic resonance imaging (MRI), but positron emission tomography (PET)/computed tomography (CT) scan, CT scan, and ultrasound scan also underwent radiomics analysis. In apparent early-stage disease, the majority of studies (16/27, 59.3%) analysed the role of radiomics signature in predicting lymph node metastasis; six (22.2%) investigated the prediction of radiomics to detect lymphovascular space involvement, one (3.7%) investigated depth of stromal infiltration, and one investigated (3.7%) parametrial infiltration. Survival prediction was evaluated both in early-stage and locally advanced settings. No study focused on the application of radiomics in metastatic or recurrent disease. Radiomics signatures were predictive of pathological and oncological outcomes, particularly if combined with clinical variables. These may be integrated in a model using different clinical-pathological and translational characteristics, with the aim to tailor and personalize the treatment of each patient with cervical cancer.

Rare and uncommon tumours of the female pelvis: what the radiologist should know

Abstract Gynaecological tumours present a broad spectrum of histological subtypes due to the diverse anatomical and tissue origin of the reproductive organs. Rare tumours affect less than 6 per 100 000 individuals annually, posing significant challenges in diagnosis and management due to limited clinical awareness. Indeed, treatment protocols rely on options developed for more common histotypes, which may have limited efficacy on these rare tumours. In recent years, collaborative international efforts have started to address these gaps, improving standards of care. A comprehensive understanding of rare tumours’ clinical and imaging features is necessary for radiologists in order to provide clinicians with useful information for treatment planning. In this review, we adopted an organ-based outline, describing rare tumours of the uterine corpus (leiomyosarcoma, endometrial stromal sarcoma, carcinosarcoma), cervix (gastric-type adenocarcinoma), and ovary (cystadenofibroma, lipid-poor teratoma, struma ovarii, immature teratoma, dysgerminoma). Additionally, tumours occurring at multiple sites, including lymphoma, neuroendocrine tumours, aggressive angiomyxoma and metastases are discussed. The objective is to help radiologists become familiar with these uncommon entities, ultimately increasing awareness on this topic.

A Radiomic MRI Predictive Model for Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer

Cervical cancer is the fourth most common cancer in women worldwide, with approximately 604,000 new cases in 2020.Treatment for locally advanced cervical cancer is based on a combination of radiotherapy and chemotherapy. The response to concomitant chemoradiotherapy vary from one woman to another. Predicting the response to these treatments would allow early consideration of alternative therapies for patients identified as less responsive to standard treatments. A 5-year recurrence-free survival is approximately 79% for stages IB and IIA and 59% for stages III and IVA, with approximately 36% of local failures despite chemoradiotherapy. In a few studies,the radiomic MRI approach in locally advanced cervical cancers has shown to be prognostic for locoregional recurrence or survival but these models still need to be explored and validated.The EPICOL cohort, a clinical-biological cohort of 136 patients treated with chemoradiotherapy for locally advanced cervical cancer at the Montpellier Cancer Institute or Nîmes University Hospital, will be used to develop a predictive model of response to chemoradiotherapy based on radiomic data from pelvic MRIs before and after treatment.