{"doi":"10.1111/1471-0528.70103","title":"Low‐Field Magnetic Resonance Imaging of the Late Gestation Cervix and Birth Outcome Correlation: A Prospective Cohort Study","abstract":"OBJECTIVE: To use low-field MRI to produce reconstructions and 3D models of the cervix and to automate measurements for correlation with demographics and birth outcomes. DESIGN: Prospective cohort study. SETTING: KCL Advanced Imaging Centre, St Thomas's Hospital. POPULATION: Late gestation (36-41w) women attempting their first vaginal birth, recruited to the MiBirth study (n = 97). METHODS: Reconstructed images were produced from 2D T2-weighted Turbo-Spin-Echo 2D sequences acquired with a 0.55 T Freemax MRI scanner. Segmentations and anatomical landmarks were automated using an in-house 3D deep learning segmentation network, from which cervical 2D measurements and 3D volumes were generated. MAIN OUTCOME MEASURES: Quality of reconstructed images and segmentations. Inter-rater variability for cervical biometry. Correlation between cervical measurements, maternal demographics and birth outcomes. RESULTS: Successful reconstructions were obtained for 92.9%; 84.9% were good quality. Excellent or good quality segmentations were obtained for all successful reconstructions (n = 99). Inter-rater variability between automated and manual biometry was excellent or good for cervical measurements. Total cervical and stroma volumes significantly increased with cervical length (p < 0.01). Os diameters and utero-cervical angle significantly decreased as cervical length increased (p < 0.001). Cervical stroma volume increased with maternal age (p = 0.02). Controlling for maternal age, an increased cervical volume was associated with an increased risk of caesarean section (OR 1.09, p = 0.04). CONCLUSIONS: This is a novel, accurate automated system to assess MRI late gestation cervical biometry and volumetry. We have shown that the late gestation cervical phenotype may influence birth outcomes and provided a new mechanism for increased risk of caesarean with maternal age.","journal":"BJOG An International Journal of Obstetrics & Gynaecology","year":2025,"id":583972,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":0.0,"corpus_rank":10352,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5815,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":938183,"name":"Alena Uus","orcid":"0000-0001-5796-2145","position":1,"is_corresponding":false},{"id":1496243,"name":"Agnieszka Glazewska‐Hallin","orcid":"0000-0002-7054-4121","position":2,"is_corresponding":false},{"id":1496899,"name":"Caitlin Allwin","orcid":null,"position":3,"is_corresponding":false},{"id":1392519,"name":"Hadi Waheed","orcid":null,"position":4,"is_corresponding":false},{"id":1115389,"name":"Vanessa Kyriakopoulou","orcid":"0000-0002-9883-0314","position":5,"is_corresponding":false},{"id":461429,"name":"Anna L. David","orcid":"0000-0002-0199-6140","position":6,"is_corresponding":false},{"id":1403070,"name":"Dimitrios Siassakos","orcid":"0000-0002-1078-9856","position":7,"is_corresponding":false},{"id":1496460,"name":"Manju Chandiramani","orcid":"0000-0002-8024-6339","position":8,"is_corresponding":false},{"id":360900,"name":"Jana Hutter","orcid":"0000-0003-3476-3500","position":9,"is_corresponding":false},{"id":360905,"name":"Lisa Story","orcid":"0000-0001-9328-9592","position":10,"is_corresponding":false},{"id":360906,"name":"Mary Rutherford","orcid":"0000-0003-3361-1337","position":11,"is_corresponding":false},{"id":1403069,"name":"Jassimran Bansal","orcid":"0000-0002-4213-7801","position":0,"is_corresponding":true}],"reference_count":41,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:59:07.970345Z","pmid":"41332358","pmcid":"PMC13040424","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":11.1111,"fair_a":0.0,"fair_i":0.0,"fair_r":33.3333,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":11.11,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The individual fetal MRI datasets used for this study are not publicly available due to ethics regulations.","grounded":true,"rationale":"No persistent identifier string in any scheme is given for the dataset.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The individual fetal MRI datasets used for this study are not publicly available due to ethics regulations.","grounded":true,"rationale":"No repository is named as the holder of the data; the data are not publicly available.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The individual fetal MRI datasets used for this study are not publicly available due to ethics regulations.","grounded":true,"rationale":"The Data Availability Statement exists but declares the data cannot be shared, offering no route of any kind; this corresponds to Colavizza category 0 (no route).","anchors":["Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li","Springer Nature research data policy — Data Availability Statements: standard statement templat","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The initial cohort contained 99 pregnant women between 35+5 and 40+1 weeks gestational age (GA). 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