{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T09:12:39Z","timestamp":1779354759713,"version":"3.51.4"},"reference-count":31,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Obstet Gynecol Scand"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>This study aimed to evaluate the role of radiomic analysis applied to ultrasound images in predicting postpartum blood loss at birth in women affected by low\u2010lying placenta or placenta previa.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>In this retrospective, single\u2010center study, we analyzed singleton pregnancies with placenta previa or a low\u2010lying placenta, initially diagnosed at the second\u2010trimester ultrasound examination. Data were collected from ultrasound examinations conducted in the second and third trimesters, along with birth outcomes. Radiomic analysis was conducted on archival ultrasound images to extract quantitative features. Predictive models were constructed utilizing multivariable generalized linear modeling (Gamma regression with a log link), encompassing radiomics\u2010only, clinical\/sonographic\u2010only, and an integrated model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In the final analysis of 107 women, 51 exhibited postpartum blood loss exceeding 500\u2009mL. A prior cesarean delivery was recognized as a notable clinical risk factor. Multiple radiomic features identified in second\u2010 and third\u2010trimester ultrasound scans correlated with a heightened risk of significant blood loss during birth. The integrated predictive model exhibited superior accuracy for blood loss exceeding 500\u2009mL, achieving an AUC of 82.32% (95% CI: 74.18%\u201390.45%). This performance surpassed that of the clinical ultrasound model, which had an AUC of 71.27% (95% CI: 62.27%\u201380.27%), with a statistically significant difference (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.001). Additionally, it demonstrated a nonsignificant improvement over the radiomics\u2010only model, which recorded an AUC of 77.17% (95% CI: 68.25%\u201386.09%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Radiomic analysis of ultrasound images enhances risk prediction for postpartum major blood loss in pregnancies affected by placenta previa and low\u2010lying placenta. Integrating radiomics with clinical and sonographic data improves predictive accuracy, offering a promising tool for personalized obstetric risk assessment and management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aogs.70238","type":"journal-article","created":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T09:08:06Z","timestamp":1777885686000},"page":"1151-1162","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ultrasound texture\u2010based radiomics of placental and myometrial tissue for predicting postpartum blood loss in women with placenta previa and low\u2010lying placenta"],"prefix":"10.1111","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4138-8489","authenticated-orcid":false,"given":"Francesco","family":"Marasciulo","sequence":"first","affiliation":[{"name":"Unit of Obstetrics and Gynecology San Bortolo Hospital, ULSS n.8 \u201cBerica\u201d  Vicenza Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena Sofia","family":"Milandri","sequence":"additional","affiliation":[{"name":"Unit of Obstetrics and Gynecology Santa Maria Delle Croci Hospital, AUSL Romagna  Ravenna Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilaria","family":"Maffeo","sequence":"additional","affiliation":[{"name":"Obstetrics and Gynecology Unit IRCCS Istituto Giannina Gaslini  Genoa Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susanna","family":"Reghezza","sequence":"additional","affiliation":[{"name":"Obstetrics and Gynecology Unit IRCCS Istituto Giannina Gaslini  Genoa Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelo","family":"Cagnacci","sequence":"additional","affiliation":[{"name":"Academic Unit of Obstetrics and Gynecology IRCCS Ospedale San Martino  Genoa Italy"},{"name":"Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Infant Health University of Genoa  Genoa Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6429-1220","authenticated-orcid":false,"given":"Ambrogio P.","family":"Londero","sequence":"additional","affiliation":[{"name":"Obstetrics and Gynecology Unit IRCCS Istituto Giannina Gaslini  Genoa Italy"},{"name":"Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Infant Health University of Genoa  Genoa Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Prefumo","sequence":"additional","affiliation":[{"name":"Obstetrics and Gynecology Unit IRCCS Istituto Giannina Gaslini  Genoa 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