Development and validation of MRI-based scoring models for predicting placental invasiveness in high-risk women for placenta accreta spectrum.
Magnetic resonance imaging
Meta-analysis
Placenta accreta
Prenatal diagnosis
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
17 Aug 2023
17 Aug 2023
Historique:
received:
19
12
2022
accepted:
26
06
2023
revised:
12
05
2023
medline:
17
8
2023
pubmed:
17
8
2023
entrez:
17
8
2023
Statut:
aheadofprint
Résumé
To develop and validate MRI-based scoring models for predicting placenta accreta spectrum (PAS) invasiveness. This retrospective study comprised a derivation cohort and a validation cohort. The derivation cohort came from a systematic review of published studies evaluating the diagnostic performance of MRI signs for PAS and/or placenta percreta in high-risk women. The significant signs were identified and used to develop prediction models for PAS and placenta percreta. Between 2016 and 2021, consecutive high-risk pregnant women for PAS who underwent placental MRI constituted the validation cohort. Two radiologists independently evaluated the MRI signs. The reference standard was intraoperative and pathologic findings. The predictive ability of MRI-based models was evaluated using the area under the curve (AUC). The derivation cohort included 26 studies involving 2568 women and the validation cohort consisted of 294 women with PAS diagnosed in 258 women (88%). Quantitative meta-analysis revealed that T2-dark bands, placental/uterine bulge, loss of T2 hypointense interface, bladder wall interruption, placental heterogeneity, and abnormal intraplacental vascularity were associated with both PAS and placenta percreta, and myometrial thinning and focal exophytic mass were exclusively associated with PAS. The PAS model was validated with an AUC of 0.90 (95% CI: 0.86, 0.93) for predicting PAS and 0.85 (95% CI: 0.79, 0.90) for adverse peripartum outcome; the placenta percreta model showed an AUC of 0.92 (95% CI: 0.86, 0.98) for predicting placenta percreta. MRI-based scoring models established based on quantitative meta-analysis can accurately predict PAS, placenta percreta, and adverse peripartum outcome. These proposed MRI-based scoring models could help accurately predict PAS invasiveness and provide evidence-based risk stratification in the management of high-risk pregnant women for PAS. • Accurately identifying placenta accreta spectrum (PAS) and assessing its invasiveness depending solely on individual MRI signs remained challenging. • MRI-based scoring models, established through quantitative meta-analysis of multiple MRI signs, offered the potential to predict PAS invasiveness in high-risk pregnant women. • These MRI-based models allowed for evidence-based risk stratification in the management of pregnancies suspected of having PAS.
Identifiants
pubmed: 37589907
doi: 10.1007/s00330-023-10058-8
pii: 10.1007/s00330-023-10058-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Innovation Guidance Project of Clinical Medical Technology in Hunan Province
ID : 2020SK52703
Organisme : Innovation Guidance Project of Clinical Medical Technology in Hunan Province
ID : 2020SK52704
Organisme : Leading Talents in the Scientific and Technological Innovation of Hunan Province
ID : 2021
Informations de copyright
© 2023. The Author(s), under exclusive licence to European Society of Radiology.
Références
Jauniaux E, Bunce C, Gronbeck L, Langhoff-Roos J (2019) Prevalence and main outcomes of placenta accreta spectrum: a systematic review and meta-analysis. Am J Obstet Gynecol 221:208–218
pubmed: 30716286
doi: 10.1016/j.ajog.2019.01.233
Salmanian B, Shainker SA, Hecht JL et al (2022) The Society for Pediatric Pathology Task Force grading system for placenta accreta spectrum and its correlation with clinical outcomes. Am J Obstet Gynecol 226:720.e721-720.e726
American College of O, Gynecologists, Society for Maternal-Fetal M (2018) Obstetric Care Consensus No. 7: Placenta Accreta Spectrum. Obstet Gynecol 132:e259–e275
doi: 10.1097/AOG.0000000000002983
De Oliveira CM, Oliveira Brito LG, Sarian LO, Bennini JR (2022) Diagnosis of placenta accreta spectrum in high-risk women using ultrasonography or magnetic resonance imaging: systematic review and meta-analysis. Ultrasound Obstet Gynecol 59:428–436
doi: 10.1002/uog.24861
Bao Y, Pang Y, Sun Z, Li Q, Tang D, Xia L (2021) Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging. Eur Radiol 31:740–748
pubmed: 32862290
doi: 10.1007/s00330-020-07200-1
Yan G, Liao Y, Li K et al (2022) Diffusion MRI based myometrium tractography for detection of placenta accreta spectrum disorder. J Magn Reson Imaging 55:255–264
pubmed: 34155718
doi: 10.1002/jmri.27794
Peng L, Zhang X, Liu J et al (2022) MRI-radiomics-clinical-based nomogram for prenatal prediction of the placenta accreta spectrum disorders. Eur Radiol 32:7532–7543
pubmed: 35587828
doi: 10.1007/s00330-022-08821-4
Stanzione A, Verde F, Cuocolo R et al (2022) Placenta accreta spectrum disorders and radiomics: systematic review and quality appraisal. Eur J Radiol 155:110497
pubmed: 36030661
doi: 10.1016/j.ejrad.2022.110497
Huang EP, O’Connor JPB, McShane LM et al (2023) Criteria for the translation of radiomics into clinically useful tests. Nat Rev Clin Oncol 20:69–82
pubmed: 36443594
doi: 10.1038/s41571-022-00707-0
Bour L, Place V, Bendavid S et al (2014) Suspected invasive placenta: evaluation with magnetic resonance imaging. Eur Radiol 24:3150–3160
pubmed: 25070274
doi: 10.1007/s00330-014-3354-z
Bourgioti C, Konstantinidou AE, Zafeiropoulou K et al (2021) Intraplacental fetal vessel diameter may help predict for placental invasiveness in pregnant women at high risk for placenta accreta spectrum disorders. Radiology 298:403–412
pubmed: 33231529
doi: 10.1148/radiol.2020200273
Romeo V, Verde F, Sarno L et al (2021) Prediction of placenta accreta spectrum in patients with placenta previa using clinical risk factors, ultrasound and magnetic resonance imaging findings. Radiol Med 126:1216–1225
pubmed: 34156592
doi: 10.1007/s11547-021-01348-6
Jha P, Poder L, Bourgioti C et al (2020) Society of Abdominal Radiology (SAR) and European Society of Urogenital Radiology (ESUR) joint consensus statement for MR imaging of placenta accreta spectrum disorders. Eur Radiol 30:2604–2615
pubmed: 32040730
doi: 10.1007/s00330-019-06617-7
Kapoor H, Hanaoka M, Dawkins A, Khurana A (2021) Review of MRI imaging for placenta accreta spectrum: Pathophysiologic insights, imaging signs, and recent developments. Placenta 104:31–39
pubmed: 33238233
doi: 10.1016/j.placenta.2020.11.004
Jauniaux E, Ayres-de-Campos D, Langhoff-Roos J et al (2019) FIGO classification for the clinical diagnosis of placenta accreta spectrum disorders. Int J Gynaecol Obstet 146:20–24
pubmed: 31173360
doi: 10.1002/ijgo.12761
Jiang W, Wang J, Shen X et al (2020) Establishment and validation of a risk prediction model for early diabetic kidney disease based on a systematic review and meta-analysis of 20 cohorts. Diabetes Care 43:925–933
pubmed: 32198286
doi: 10.2337/dc19-1897
Riteau AS, Tassin M, Chambon G et al (2014) Accuracy of ultrasonography and magnetic resonance imaging in the diagnosis of placenta accreta. PLoS One 9:e94866
Ueno Y, Kitajima K, Kawakami F et al (2014) Novel MRI finding for diagnosis of invasive placenta praevia: evaluation of findings for 65 patients using clinical and histopathological correlations. Eur Radiol 24:881–888
pubmed: 24272229
doi: 10.1007/s00330-013-3076-7
Balcacer P, Pahade J, Spektor M, Staib L, Copel JA, McCarthy S (2016) Magnetic resonance imaging and sonography in the diagnosis of placental invasion. J Ultrasound Med 35:1445–1456
pubmed: 27229131
doi: 10.7863/ultra.15.07040
Budorick NE, Figueroa R, Vizcarra M, Shin J (2017) Another look at ultrasound and magnetic resonance imaging for diagnosis of placenta accreta. J Matern Fetal Neonatal Med 30:2422–2427
pubmed: 27806657
doi: 10.1080/14767058.2016.1252744
Sato T, Mori N, Hasegawa O et al (2017) Placental recess accompanied by a T2 dark band: a new finding for diagnosing placental invasion. Abdom Radiol (NY) 42:2146–2153
pubmed: 28293719
doi: 10.1007/s00261-017-1100-0
Chen X, Shan R, Zhao L et al (2018) Invasive placenta previa: Placental bulge with distorted uterine outline and uterine serosal hypervascularity at 1.5T MRI - useful features for differentiating placenta percreta from placenta accreta. Eur Radiol 28:708–717
pubmed: 28770405
doi: 10.1007/s00330-017-4980-z
Knight JC, Lehnert S, Shanks AL et al (2018) A comprehensive severity score for the morbidly adherent placenta: combining ultrasound and magnetic resonance imaging. Pediatr Radiol 48:1945–1954
pubmed: 30178078
doi: 10.1007/s00247-018-4235-4
Chu C, Zhao S, Ding M et al (2019) Combining clinical characteristics and specific magnetic resonance imaging features to predict placenta accreta. J Comput Assist Tomogr 43:775–779
pubmed: 31356517
pmcid: 6752690
doi: 10.1097/RCT.0000000000000894
Khalaf LMR, Zeid HA, Othman ER (2019) Reliability of Magnetic Resonance Imaging in diagnosis and assessment the depth of invasion of placental accreta in high risk gravid women. Clin Imaging 58:5–11
pubmed: 31212062
doi: 10.1016/j.clinimag.2019.05.003
Huang F, Lai QQ, Wu H, Ke XT (2020) Application of indirect signs of Magnetic Resonance Imaging (MRI) in prenatal diagnosis of abnormally invasive placenta. Med Sci Monit 26:e923272
pubmed: 32525848
pmcid: 7304312
doi: 10.12659/MSM.923272
Ishibashi H, Miyamoto M, Shinmoto H et al (2020) The use of magnetic resonance imaging to predict placenta previa with placenta accreta spectrum. Acta Obstet Gynecol Scand 99:1657–1665
pubmed: 32542670
doi: 10.1111/aogs.13937
Xia H, Ke SC, Qian RR, Lin JG, Li Y, Zhang X (2020) Comparison between abdominal ultrasound and nuclear magnetic resonance imaging detection of placenta accreta in the second and third trimester of pregnancy. Medicine (Baltimore) 99:e17908
pubmed: 31914010
doi: 10.1097/MD.0000000000017908
Einerson BD, Rodriguez CE, Silver RM, Donnelly MA, Kennedy AM, Woodward PJ (2021) Accuracy and interobserver reliability of magnetic resonance imaging for placenta accreta spectrum disorders. Am J Perinatol 38:960–967
pubmed: 31986538
doi: 10.1055/s-0040-1701196
Hou S, Song Y, Wu J et al (2021) Comparison of magnetic resonance imaging of the lower uterine segment in pregnant women with central placenta previa with and without placenta accreta spectrum from a single center. Med Sci Monit 27:e932759
pubmed: 34675167
pmcid: 8547193
doi: 10.12659/MSM.932759
Morel O, van Beekhuizen HJ, Braun T et al (2021) Performance of antenatal imaging to predict placenta accreta spectrum degree of severity. Acta Obstet Gynecol Scand 100(Suppl 1):21–28
pubmed: 33811333
doi: 10.1111/aogs.14112
Nelson LW, Richardson D, Chavan NR et al (2021) Correlation of placental MR imaging signs and pathologic diagnosis of placenta accreta spectrum: Retrospective single center case series. Eur J Obstet Gynecol Reprod Biol 262:239–247
pubmed: 34091159
doi: 10.1016/j.ejogrb.2021.05.031
Duan J, Su J, Zhang Y, Ma L, Zhao L (2022) The volume of T2 low-signal band and the width of the widest blood vessel in placenta measured by MRI in pregnant women with different types of placental implantation and its differential value. Comput Math Methods Med 2022:7546201
pubmed: 35495887
pmcid: 9050272
doi: 10.1155/2022/7546201
Haba RM, Pristavu AI, Cobzeanu ML et al (2022) Predicting placenta accreta spectrum disorders in a cohort of pregnant patients in the north-east region of romania-diagnostic accuracy of ultrasound and magnetic resonance imaging. Diagnostics (Basel) 12:2130
pubmed: 36140531
doi: 10.3390/diagnostics12092130
Hu Y, Wang Y, Weng Q et al (2022) Intraplacental T2-hypointense bands may help predict placental invasion depth and postpartum hemorrhage in placenta accrete spectrum disorders in high-risk gravid patients. Magn Reson Imaging 94:73–79
pubmed: 36116713
doi: 10.1016/j.mri.2022.09.005
Pain FA, Dohan A, Grange G et al (2022) Percreta score to differentiate between placenta accreta and placenta percreta with ultrasound and MR imaging. Acta Obstet Gynecol Scand 101:1135–1145
pubmed: 35822244
pmcid: 9812204
doi: 10.1111/aogs.14420
Zhang J, Dong P (2022) Clinical utility of the prenatal ultrasound score of the placenta combined with magnetic resonance imaging in diagnosis of placenta accreta during the second and third trimester of pregnancy. Contrast Media Mol Imaging 2022:9462139
pubmed: 35821890
pmcid: 9217555
Hong S, Le Y, Lio KU, Zhang T, Zhang Y, Zhang N (2022) Performance comparison of ultrasonography and magnetic resonance imaging in their diagnostic accuracy of placenta accreta spectrum disorders: a systematic review and meta-analysis. Insights Imaging 13:50
pubmed: 35316430
pmcid: 8940971
doi: 10.1186/s13244-022-01192-w
Goergen SK, Posma E, Wrede D et al (2018) Interobserver agreement and diagnostic performance of individual MRI criteria for diagnosis of placental adhesion disorders. Clin Radiol 73:908.e901-908.e909
doi: 10.1016/j.crad.2018.05.021
Delli Pizzi A, Tavoletta A, Narciso R et al (2019) Prenatal planning of placenta previa: diagnostic accuracy of a novel MRI-based prediction model for placenta accreta spectrum (PAS) and clinical outcome. Abdom Radiol (NY) 44:1873–1882
pubmed: 30600374
doi: 10.1007/s00261-018-1882-8
Zhu H, Yin X, Wang H et al (2022) A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures. Sci Rep 12:10130
pubmed: 35710881
pmcid: 9203504
doi: 10.1038/s41598-022-14454-w
Chen D, Xu J, Ye P et al (2020) Risk scoring system with MRI for intraoperative massive hemorrhage in placenta previa and accreta. J Magn Reson Imaging 51:947–958
pubmed: 31507024
doi: 10.1002/jmri.26922
Stewart MJ, Richmond D, Mooney S et al (2021) Diagnostic utility of MRI features of placental adhesion disorder for abnormal placentation and massive postpartum hemorrhage. AJR Am J Roentgenol 217:378–388
pubmed: 34036809
doi: 10.2214/AJR.19.22661
Zou L, Wang P, Song Z et al (2022) Effectiveness of a fetal magnetic resonance imaging scoring system for predicting the prognosis of pernicious placenta previa: A retrospective study. Front Physiol 13:921273
pubmed: 36035494
pmcid: 9402898
doi: 10.3389/fphys.2022.921273