{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T17:40:32Z","timestamp":1791567632882,"version":"4.3.4"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"1163","license":[{"start":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T00:00:00Z","timestamp":1723852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Maternity Hospital"},{"DOI":"10.13039\/501100001602","name":"Science Foundation Ireland","doi-asserted-by":"publisher","award":["12\/RC\/2289-P2"],"award-info":[{"award-number":["12\/RC\/2289-P2"]}],"id":[{"id":"10.13039\/501100001602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021525","name":"SFI Research Centre for Data Analytics","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100021525","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>We previously demonstrated the potential of radiomics for the prediction of severe histological placenta accreta spectrum (PAS) subtypes using T2-weighted MRI. We aim to validate our model using an additional dataset. Secondly, we explore whether the performance is improved using a new approach to develop a new multivariate radiomics model.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Multi-centre retrospective analysis was conducted between 2018 and 2023. Inclusion criteria: MRI performed for suspicion of PAS from ultrasound, clinical findings of PAS at laparotomy and\/or histopathological confirmation. Radiomic features were extracted from T2-weighted MRI. The previous multivariate model was validated. Secondly, a 5-radiomic feature random forest classifier was selected from a randomized feature selection scheme to predict invasive placenta increta PAS cases. Prediction performance was assessed based on several metrics including area under the curve (AUC) of the receiver operating characteristic curve (ROC), sensitivity, and specificity.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We present 100 women [mean age 34.6 (\u00b13.9) with PAS], 64 of whom had placenta increta. Firstly, we validated the previous multivariate model and found that a support vector machine classifier had a sensitivity of 0.620 (95% CI: 0.068; 1.0), specificity of 0.619 (95% CI: 0.059; 1.0), an AUC of 0.671 (95% CI: 0.440; 0.922), and accuracy of 0.602 (95% CI: 0.353; 0.817) for predicting placenta increta. From the new multivariate model, the best 5-feature subset was selected via the random subset feature selection scheme comprised of 4 radiomic features and 1 clinical variable (number of previous caesareans). This clinical-radiomic model achieved an AUC of 0.713 (95% CI: 0.551; 0.854), accuracy of 0.695 (95% CI 0.563; 0.793), sensitivity of 0.843 (95% CI 0.682; 0.990), and specificity of 0.447 (95% CI 0.167; 0.667).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>We validated our previous model and present a new multivariate radiomic model for the prediction of severe placenta increta from a well-defined, cohort of PAS cases.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>Radiomic features demonstrate good predictive potential for identifying placenta increta. This suggests radiomics may be a useful adjunct to clinicians caring for women with this high-risk pregnancy condition.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bjr\/tqae164","type":"journal-article","created":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T14:37:20Z","timestamp":1723905440000},"page":"1833-1842","source":"Crossref","is-referenced-by-count":7,"title":["Radiomic study of antenatal prediction of severe placenta accreta spectrum from MRI"],"prefix":"10.1093","volume":"97","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6470-9364","authenticated-orcid":false,"given":"Helena C","family":"Bartels","sequence":"first","affiliation":[{"name":"Department of UCD Obstetrics and Gynaecology, School of Medicine, University College Dublin, National Maternity Hospital , Dublin 2,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Wolsztynski","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, University College Cork , Cork T12 XF62,","place":["Ireland"]},{"name":"Insight SFI Centre for Data Analytics, Dublin ,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jim","family":"O\u2019Doherty","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions , Malvern, PA 19355,","place":["United States"]},{"name":"Department of Radiology & Radiological Science, Medical University of South Carolina , Charleston, SC 29425,","place":["United States"]},{"name":"Radiography & Diagnostic Imaging, University College Dublin , Dublin D04 V1W8,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David P","family":"Brophy","sequence":"additional","affiliation":[{"name":"Department of Radiology, St Vincents University Hospital , Dublin D04 T6F4,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roisin","family":"MacDermott","sequence":"additional","affiliation":[{"name":"Department of Radiology, St Vincents University Hospital , Dublin D04 T6F4,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Atallah","sequence":"additional","affiliation":[{"name":"Department of Gynecology and Obstetrics, H\u00f4tel-Dieu de France University Hospital, Saint Joseph University , Beirut,","place":["Lebanon"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Souha","family":"Saliba","sequence":"additional","affiliation":[{"name":"Department of Radiology: Fetal and Placental Imaging, H\u00f4tel-Dieu de France University Hospital, Saint Joseph University , Beirut,","place":["Lebanon"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nadine","family":"El Kassis","sequence":"additional","affiliation":[{"name":"Department of Gynecology and Obstetrics, H\u00f4tel-Dieu de France University Hospital, Saint Joseph University , Beirut,","place":["Lebanon"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Malak","family":"Moubarak","sequence":"additional","affiliation":[{"name":"Department of Gynecology and Obstetrics, H\u00f4tel-Dieu de France University Hospital, Saint Joseph University , Beirut,","place":["Lebanon"]},{"name":"Kliniken Essen Mitte, Department of Gynecology and Gynecologic Oncology , Essen,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Constance","family":"Young","sequence":"additional","affiliation":[{"name":"Department of Histopathology, National Maternity Hospital , Dublin D02 YH21,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Downey","sequence":"additional","affiliation":[{"name":"Department of Histopathology, National Maternity Hospital , Dublin D02 YH21,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Donnelly","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology, Rotunda Hospital , Dublin D01 P5W9,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tony","family":"Geoghegan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Mater Misericordiae University Hospital , Dublin D07 AX57,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donal J","family":"Brennan","sequence":"additional","affiliation":[{"name":"Department of UCD Obstetrics and Gynaecology, School of Medicine, University College Dublin, National Maternity Hospital , Dublin 2,","place":["Ireland"]},{"name":"University College Dublin Gynaecological Oncology Group (UCD-GOG), Mater Misericordiae University Hospital and St Vincent\u2019s University Hospital , Dublin,","place":["Ireland"]},{"name":"Systems Biology Ireland, School of Medicine, University College Dublin , Dublin D04 V1W8,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathleen M","family":"Curran","sequence":"additional","affiliation":[{"name":"School of Medicine, University College Dublin , Dublin D04 V1W8,","place":["Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,8,17]]},"reference":[{"key":"2024102107545615600_tqae164-B1","doi-asserted-by":"crossref","first-page":"1507674","DOI":"10.1155\/2018\/1507674","article-title":"Placenta accreta spectrum: a review of pathology, molecular biology, and biomarkers","volume":"2018","author":"Bartels","year":"2018","journal-title":"Dis Markers"},{"issue":"1","key":"2024102107545615600_tqae164-B2","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1002\/ijgo.12761","article-title":"FIGO classification for the clinical 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