{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:29:59Z","timestamp":1760956199511,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T00:00:00Z","timestamp":1691798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Uterus measurements are useful for assessing both the treatment and follow-ups of gynaecological patients. The aim of our study was to develop a deep learning (DL) tool for fully automated measurement of the three-dimensional size of the uterus on magnetic resonance imaging (MRI). In this single-centre retrospective study, 900 cases were included to train, validate, and test a VGG-16\/VGG-11 convolutional neural network (CNN). The ground truth was manual measurement. The performance of the model was evaluated using the objective key point similarity (OKS), the mean difference in millimetres, and coefficient of determination R2. The OKS of our model was 0.92 (validation) and 0.96 (test). The average deviation and R2 coefficient between the AI measurements and the manual ones were, respectively, 3.9 mm and 0.93 for two-point length, 3.7 mm and 0.94 for three-point length, 2.6 mm and 0.93 for width, 4.2 mm and 0.75 for thickness. The inter-radiologist variability was 1.4 mm. A three-dimensional automated measurement was obtained in 1.6 s. In conclusion, our model was able to locate the uterus on MRIs and place measurement points on it to obtain its three-dimensional measurement with a very good correlation compared to manual measurements.<\/jats:p>","DOI":"10.3390\/diagnostics13162662","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T10:28:13Z","timestamp":1692008893000},"page":"2662","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Three-Dimensional Measurement of the Uterus on Magnetic Resonance Images: Development and Performance Analysis of an Automated Deep-Learning Tool"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4038-5297","authenticated-orcid":false,"given":"Daphn\u00e9","family":"Mulliez","sequence":"first","affiliation":[{"name":"Service d\u2019Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edouard","family":"Poncelet","sequence":"additional","affiliation":[{"name":"Service d\u2019Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurie","family":"Ferret","sequence":"additional","affiliation":[{"name":"Unit\u00e9 de Recherche Clinique, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christine","family":"Hoeffel","sequence":"additional","affiliation":[{"name":"Service de Radiologie, H\u00f4pital Maison Blanche, Avenue du G\u00e9n\u00e9ral Koenig, 51092 Reims, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Blandine","family":"Hamet","sequence":"additional","affiliation":[{"name":"Service d\u2019Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lan Anh","family":"Dang","sequence":"additional","affiliation":[{"name":"Service d\u2019Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Laurent","sequence":"additional","affiliation":[{"name":"Service d\u2019Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guillaume","family":"Ramette","sequence":"additional","affiliation":[{"name":"Service d\u2019Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,12]]},"reference":[{"key":"ref_1","first-page":"130","article-title":"Assessment of uterine cavity size and shape: A systematic review addressing relevance to intrauterine procedures and events","volume":"16","author":"Goldstuck","year":"2012","journal-title":"Afr. 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