GuidelineEuropean radiology2025
European Society of Urogenital Radiology (ESUR) guidelines on MR imaging prior to fertility-sparing treatments in patients with cervical, endometrial, and ovarian cancers.
Guideline in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- ESR Essentials: uterine cancers-practice recommendations by the European Society of Urogenital Radiology.European radiology · 2026Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
objectiveTo establish standardised MRI protocols and structured reporting guidelines for optimal patient selection in fertility-sparing treatments for gynaecological cancers.
methodsThe 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".
resultsConsensus 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.
conclusionsThese 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. KEY POINTS: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.