{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T20:30:27Z","timestamp":1786566627062,"version":"build-2736575974"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T00:00:00Z","timestamp":1785974400000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["T32EB028092"],"award-info":[{"award-number":["T32EB028092"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007268","name":"Washington University in St. Louis","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007268","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100028897","name":"Wellcome Leap","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100028897","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Placenta"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.placenta.2026.07.011","type":"journal-article","created":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T19:53:32Z","timestamp":1785700412000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrated quantitative biomarkers of placental texture and hemodynamics improve assessment of pregnancies at risk for adverse fetal outcomes"],"prefix":"10.1016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8071-983X","authenticated-orcid":false,"given":"Adrienne K.","family":"Scott","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erin M.","family":"Louwagie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward P.","family":"Chandler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline","family":"Fosher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abigail","family":"Arter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fran","family":"Manyx","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samyuktha S.","family":"Kolluru","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulugbek S.","family":"Kamilov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony O.","family":"Odibo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle L.","family":"Oyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.placenta.2026.07.011_bib1","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.ajog.2024.05.042","article-title":"Stillbirth: we can do better","volume":"231","author":"Silver","year":"2024","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib2","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1186\/s12884-015-0617-x","article-title":"Exploring the intangible economic costs of stillbirth","volume":"15","author":"Ogwulu","year":"2015","journal-title":"BMC Pregnancy Childbirth"},{"key":"10.1016\/j.placenta.2026.07.011_bib3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1002\/uog.29120","article-title":"Near-miss criteria for stillbirth in global research: the \u2018In Utero\u2019 consensus","volume":"65","author":"Gordijn","year":"2025","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib4","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.placenta.2022.03.127","article-title":"Interventions for placental insufficiency and fetal growth restriction","volume":"125","author":"Davenport","year":"2022","journal-title":"Placenta"},{"key":"10.1016\/j.placenta.2026.07.011_bib5","first-page":"236","article-title":"Placenta and fetal growth restriction, Clin","volume":"49","author":"Salafia","year":"2006","journal-title":"Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib6","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.placenta.2020.01.016","article-title":"Multiscale three-dimensional imaging of the placenta","volume":"102","author":"Lewis","year":"2020","journal-title":"Placenta"},{"key":"10.1016\/j.placenta.2026.07.011_bib7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jtbi.2016.06.037","article-title":"A multiscale model of placental oxygen exchange: the effect of villous tree structure on exchange efficiency","volume":"408","author":"Lin","year":"2016","journal-title":"J. Theor. Biol."},{"key":"10.1016\/j.placenta.2026.07.011_bib8","series-title":"Benirschke's Pathology of the Human Placenta","first-page":"1","author":"Baergen","year":"2021"},{"key":"10.1016\/j.placenta.2026.07.011_bib9","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1046\/j.0960-7692.2001.00594.x","article-title":"Screening for pre-eclampsia and fetal growth restriction by uterine artery Doppler at 11\u201314 weeks of gestation","volume":"18","author":"Martin","year":"2001","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib10","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.bpobgyn.2004.02.003","article-title":"The role of uterine artery Doppler in predicting adverse pregnancy outcome","volume":"18","author":"Papageorghiou","year":"2004","journal-title":"Best Pract. Res. Clin. Obstet. Gynaecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib11","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1046\/j.0960-7692.2001.00572.x","article-title":"Multicenter screening for pre-eclampsia and fetal growth restriction by transvaginal uterine artery Doppler at 23 weeks of gestation","volume":"18","author":"Papageorghiou","year":"2001","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib12","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1111\/1471-0528.16510","article-title":"Prediction of stillbirth: an umbrella review of evaluation of prognostic variables","volume":"128","author":"Townsend","year":"2021","journal-title":"BJOG"},{"key":"10.1016\/j.placenta.2026.07.011_bib13","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1002\/uog.23757","article-title":"External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis","volume":"59","author":"Allotey","year":"2022","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.bpobgyn.2023.102426","article-title":"Spiral, uterine artery doppler and placental ultrasound in relation to preeclampsia","volume":"92","author":"de Ganzo Su\u00e1rez","year":"2024","journal-title":"Best Pract. Res. Clin. Obstet. Gynaecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib15","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1002\/uog.23760","article-title":"Longitudinal assessment of spiral artery and intravillous arteriole blood flow and adverse pregnancy outcome","volume":"59","author":"Odibo","year":"2022","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib16","article-title":"Bioengineering approaches for patient-specific analysis of placenta structure and function","author":"Scott","year":"2024","journal-title":"Placenta"},{"key":"10.1016\/j.placenta.2026.07.011_bib17","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1002\/uog.23760","article-title":"Longitudinal assessment of spiral artery and intravillous arteriole blood flow and adverse pregnancy outcome","volume":"59","author":"Odibo","year":"2022","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib18","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1002\/uog.7733","article-title":"Exploring the relationship between preterm placental calcification and adverse maternal and fetal outcome","volume":"37","author":"Chen","year":"2011","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib19","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/0002-9378(79)90312-0","article-title":"The ultrasonic changes in the maturing placenta and their relation to fetal pulmonic maturity","volume":"133","author":"Grannum","year":"1979","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib20","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.placenta.2023.07.014","article-title":"Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism","volume":"140","author":"Arora","year":"2023","journal-title":"Placenta"},{"key":"10.1016\/j.placenta.2026.07.011_bib21","series-title":"Texture Analysis of Placental Ultrasound Images","author":"Louwagie","year":"2026"},{"key":"10.1016\/j.placenta.2026.07.011_bib22","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1016\/j.ultrasmedbio.2025.12.021","article-title":"A novel method for predicting and diagnosing fetal growth restriction: texture analysis based on ultrasound images of placenta during the second trimester (20\u201324 weeks)","volume":"52","author":"Chen","year":"2026","journal-title":"Ultrasound Med. Biol."},{"key":"10.1016\/j.placenta.2026.07.011_bib23","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.108757","article-title":"Diagnosis of placenta accreta spectrum using ultrasound texture feature fusion and machine learning","volume":"178","author":"Young","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.placenta.2026.07.011_bib24","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.radi.2022.09.008","article-title":"Texture analysis of sonographic image of placenta in pregnancies with normal and adverse outcomes, a pilot study","volume":"29","author":"Abonyi","year":"2023","journal-title":"Radiography"},{"key":"10.1016\/j.placenta.2026.07.011_bib25","first-page":"1209","article-title":"Texture analysis and classification of ultrasound liver images","volume":"24","author":"Gao","year":"2014","journal-title":"Bio Med. Mater. Eng."},{"key":"10.1016\/j.placenta.2026.07.011_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2019.103208","article-title":"The REDCap consortium: building an international community of software platform partners","volume":"95","author":"Harris","year":"2019","journal-title":"J. Biomed. Inf."},{"key":"10.1016\/j.placenta.2026.07.011_bib27","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.jbi.2008.08.010","article-title":"Research electronic data capture (REDCap)\u2014A metadata-driven methodology and workflow process for providing translational research informatics support","volume":"42","author":"Harris","year":"2009","journal-title":"J. Biomed. Inf."},{"key":"10.1016\/j.placenta.2026.07.011_bib28","doi-asserted-by":"crossref","first-page":"S630","DOI":"10.1016\/j.ajog.2018.01.011","article-title":"The INTERGROWTH-21st fetal growth standards: toward the global integration of pregnancy and pediatric care","volume":"218","author":"Papageorghiou","year":"2018","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib29","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1148\/radiology.181.1.1887021","article-title":"In utero analysis of fetal growth: a sonographic weight standard","volume":"181","author":"Hadlock","year":"1991","journal-title":"Radiology"},{"key":"10.1016\/j.placenta.2026.07.011_bib30","doi-asserted-by":"crossref","first-page":"3257","DOI":"10.1016\/j.ultrasmedbio.2020.08.017","article-title":"Study of the development of placental microvascularity by doppler SMI (Superb microvascular imaging): a reality today","volume":"46","author":"Sainz","year":"2020","journal-title":"Ultrasound Med. Biol."},{"key":"10.1016\/j.placenta.2026.07.011_bib31","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","article-title":"User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability","volume":"31","author":"Yushkevich","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.placenta.2026.07.011_bib32","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1002\/ijgo.13229","article-title":"Stillbirth at term: does size really matter?","volume":"150","author":"Coutinho","year":"2020","journal-title":"Int. J. Gynecol. Obstet."},{"key":"10.1016\/j.placenta.2026.07.011_bib33","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1002\/uog.20414","article-title":"Antenatal detection of fetal growth restriction and risk of stillbirth: population-based case\u2013control study","volume":"55","author":"Ego","year":"2020","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.07.011_bib34","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1016\/S0140-6736(15)00837-5","article-title":"Stillbirths: rates, risk factors, and acceleration towards 2030","volume":"387","author":"Lawn","year":"2016","journal-title":"Lancet"},{"key":"10.1016\/j.placenta.2026.07.011_bib35","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1007\/s43032-024-01655-z","article-title":"Machine learning for predicting stillbirth: a systematic review","volume":"32","author":"Li","year":"2025","journal-title":"Reprod. Sci."},{"key":"10.1016\/j.placenta.2026.07.011_bib36","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","volume":"385","author":"Collins","year":"2024","journal-title":"Br. Med. J."}],"container-title":["Placenta"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0143400426003334?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0143400426003334?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T19:57:16Z","timestamp":1786564636000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0143400426003334"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":36,"alternative-id":["S0143400426003334"],"URL":"https:\/\/doi.org\/10.1016\/j.placenta.2026.07.011","relation":{},"ISSN":["0143-4004"],"issn-type":[{"value":"0143-4004","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Integrated quantitative biomarkers of placental texture and hemodynamics improve assessment of pregnancies at risk for adverse fetal outcomes","name":"articletitle","label":"Article Title"},{"value":"Placenta","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.placenta.2026.07.011","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}]}}