The Journal of Practical Medicine >
Advances in imaging diagnosis of placenta accreta spectrum
Received date: 2024-02-19
Online published: 2024-11-19
Placenta accreta spectrum （PAS） refers to a condition where placental villi abnormally adhere to or invade the uterine muscle layer to varying degrees. PAS can lead to severe obstetric complications， including postpartum hemorrhage， hysterectomy and even life-threatening situations. Nowadays， the diagnosis of PAS typically relies on imaging examinations such as ultrasound. Despite the widespread use of ultrasound， its accuracy is a subject of controversy， leading to the emergence of new imaging prenatal diagnostic indicators. This article aims to review prenatal diagnostic indicators of PAS， including ultrasound features and magnetic resonance imaging （MRI）. Additionally， we will discuss existing joint diagnostic methods and the latest research findings.
Cheng CHEN , Xinyang YU , Hua. ZHANG . Advances in imaging diagnosis of placenta accreta spectrum[J]. The Journal of Practical Medicine, 2024 , 40(21) : 2976 -2981 . DOI: 10.3969/j.issn.1006-5725.2024.21.003
| 1 | SILVER R M， BRANCH D W. Placenta Accreta Spectrum［J］. N Engl J Med， 2018， 378（16）：1529-1536. doi:10.1056/nejmcp1709324 |
| 2 | MA Y， HU Y， MA J. Animal models of the placenta accreta spectrum： Current status and further perspectives［J］. Front Endocrinol （Lausanne）， 2023， 14：1118168. doi:10.3389/fendo.2023.1118168 |
| 3 | JAUNIAUX E， BUNCE C， GR?NBECK L， et al. Prevalence and main outcomes of placenta accreta spectrum： A systematic review and meta-analysis［J］. Am J Obstet Gynecol， 2019， 221（3）：208-218. doi:10.1016/j.ajog.2019.01.233 |
| 4 | DE OLIVEIRA CARNIELLO M， OLIVEIRA BRITO L G， SARIAN L O， et al. Diagnosis of placenta accreta spectrum in high-risk women using ultrasonography or magnetic resonance imaging： Systematic review and meta-analysis［J］. Ultrasound Obstet Gynecol， 2022， 59（4）：428-436. doi:10.1002/uog.24861 |
| 5 | SHAINKER S A， COLEMAN B， TIMOR-TRITSCH I E， et al. Special Report of the Society for Maternal-Fetal Medicine Placenta Accreta Spectrum Ultrasound Marker Task Force： Consensus on definition of markers and approach to the ultrasound examination in pregnancies at risk for placenta accreta spectrum［J］. Am J Obstet Gynecol， 2021， 224（1）：B2-B14. doi:10.1016/j.ajog.2020.09.001 |
| 6 | D’ANTONIO F， TIMOR-TRITSCH I E， KHALIL A， et al. New classification of placenta accreta spectrum disorders should include presence of Cesarean scar pregnancy［J］. Ultrasound Obstet Gynecol， 2022， 59（4）：563. doi:10.1002/uog.24880 |
| 7 | D′ANTONIO F， TIMOR-TRITSCH I E， PALACIOS-JARAQUEMADA J， et al. First-trimester detection of abnormally invasive placenta in high-risk women： Systematic review and meta-analysis［J］. Ultrasound Obstet Gynecol， 2018， 51（2）：176-183. doi:10.1002/uog.18840 |
| 8 | JAUNIAUX E， ZOSMER N， DE BRAUD L V， et al. Development of the utero-placental circulation in cesarean scar pregnancies： A case-control study［J］. Am J Obstet Gynecol， 2022， 226（3）：399.e1-399.e10. doi:10.1016/j.ajog.2021.08.056 |
| 9 | DOULAVERIS G， RYKEN K， PAPATHOMAS D， et al. Early prediction of placenta accreta spectrum in women with prior cesarean delivery using transvaginal ultrasound at 11 to 14 weeks［J］. Am J Obstet Gynecol MFM， 2020， 2（4）：100183. doi:10.1016/j.ajogmf.2020.100183 |
| 10 | SVANVIK T， JACOBSSON A K， CARLSSON Y. Prenatal detection of placenta previa and placenta accreta spectrum： Evaluation of the routine mid-pregnancy obstetric ultrasound screening between 2013 and 2017［J］. Int J Gynaecol Obstet， 2022， 157（3）：647-653. doi:10.1002/ijgo.13876 |
| 11 | JANSEN C H J R， KLEINROUWELER C E， KASTELEIN A W， et al. Follow-up ultrasound in second-trimester low-positioned anterior and posterior placentae： Prospective cohort study［J］. Ultrasound Obstet Gynecol， 2020， 56（5）：725-731. doi:10.1002/uog.21903 |
| 12 | JAUNIAUX E， BHIDE A， KENNEDY A， et al. FIGO consensus guidelines on placenta accreta spectrum disorders： Prenatal diagnosis and screening［J］. Int J Gynaecol Obstet， 2018， 140（3）：274-280. doi:10.1002/ijgo.12408 |
| 13 | 张天玥. 胎盘植入谱系疾病血清生物标记物及超声标志物的临床研究［D］. 北京：北京协和医学院， 2023. |
| 14 | FRATELLI N， PREFUMO F， MAGGI C， et al. Third-trimester ultrasound for antenatal diagnosis of placenta accreta spectrum in women with placenta previa： Results from the ADoPAD study［J］. Ultrasound Obstet Gynecol， 2022， 60（3）：381-389. doi:10.1002/uog.24889 |
| 15 | ZOSMER N， JAUNIAUX E， BUNCE C， et al. Interobserver agreement on standardized ultrasound and histopathologic signs for the prenatal diagnosis of placenta accreta spectrum disorders［J］. Int J Gynaecol Obstet， 2018， 140（3）：326-331. doi:10.1002/ijgo.12389 |
| 16 | HIH J C， KANG J， TSAI S J， et al. The “rail sign”： An ultrasound finding in placenta accreta spectrum indicating deep villous invasion and adverse outcomes［J］. Am J Obstet Gynecol， 2021， 225（3）：292.e1-292.e17. doi:10.1016/j.ajog.2021.03.018 |
| 17 | DI PASQUO E， GHI T， CALì G， et al. Intracervical lakes as sonographic marker of placenta accreta spectrum disorder in patients with placenta previa or low-lying placenta［J］. Ultrasound Obstet Gynecol， 2020， 55（4）：460-466. doi:10.1002/uog.21866 |
| 18 | BERTUCCI E， SILEO F G， GRANDI G， et al. The Jellyfish Sign： A New Sonographic Cervical Marker to Predict Maternal Morbidity in Abnormally Invasive Placenta Previa［J］. Ultraschall Med， 2019， 40（1）：40-46. doi:10.1055/s-0043-119872 |
| 19 | ALLWOOD R X， SELF A， COLLINS S L. Separation sign： Novel ultrasound sign for ruling out diagnosis of placenta accreta spectrum［J］. Ultrasound Obstet Gynecol， 2022， 60（3）：390-395. doi:10.1002/uog.26021 |
| 20 | SKUPSKI D W， DUZYJ C M， SCHOLL J， et al. Evaluation of classic and novel ultrasound signs of placenta accreta spectrum［J］. Ultrasound Obstet Gynecol， 2022， 59（4）：465-473. doi:10.1002/uog.24804 |
| 21 | AGARWAL S， AGARWAL A， CHANDAK S. Role of placenta accreta index in prediction of morbidly adherent placenta： A reliability study［J］. Ultrasound，2021， 29（2）：92-99. doi:10.1177/1742271x20959742 |
| 22 | CALI G， FORLANI F， LEES C， et al. Prenatal ultrasound staging system for placenta accreta spectrum disorders［J］. Ultrasound Obstet Gynecol， 2019， 53（6）：752-760. doi:10.1002/uog.20246 |
| 23 | PILLONI E， ALEMANNO M G， GAGLIOTI P， et al. Accuracy of ultrasound in antenatal diagnosis of placental attachment disorders［J］. Ultrasound Obstet Gynecol， 2016， 47（3）：302-307. doi:10.1002/uog.14893 |
| 24 | ZHANG J， LI H， FENG D， et al. Ultrasound scoring system for prenatal diagnosis of placenta accreta spectrum［J］. BMC Pregnancy Childbirth， 2023， 23（1）：569. doi:10.1186/s12884-023-05886-x |
| 25 | HASHIM H ABU， SHALABY E M， HUSSIEN M H， et al. Diagnostic accuracy of the placenta accreta index for placenta accreta spectrum： A prospective study［J］. Int J Gynaecol Obstet，2022，156（1）：71-76. doi:10.1002/ijgo.13610 |
| 26 | ADU-BREDU T K， RIDWAN R， ADITIAWARMAN A， et al. Three-Dimensional Volume Rendering Ultrasound for Assessing Placenta Accreta Spectrum Severity and Discriminating it from Simple Scar Dehiscence［J］. Am J Obstet Gynecol MFM， 2024， 7：101321. doi:10.1016/j.ajogmf.2024.101321 |
| 27 | DALL’ASTA A， FORLANI F， SHAH H， et al. Evaluation of the Tramline Sign in the Prediction of Placenta Accreta Spectrum and Perioperative Outcomes in Anterior Placenta Previa［J］. Ultraschall Med， 2022， 43（6）：e118-e124. doi:10.1055/a-1309-1665 |
| 28 | JHA P， PōDER L， BOURGIOTI C， et al. Society of Abdominal Radiology （SAR） and European Society of Urogenital Radiology （ESUR） joint consensus statement for MR imaging of placenta accreta spectrum disorders［J］. Eur Radiol， 2020， 30（5）：2604-2615. doi:10.1007/s00330-019-06617-7 |
| 29 | BOURGIOTI C， ZAFEIROPOULOU K， FOTOPOULOS S， et al. MRI Features Predictive of Invasive Placenta With Extrauterine Spread in High-Risk Gravid Patients： A Prospective Evaluation［J］. AJR Am J Roentgenol， 2018， 211（3）：701-711. doi:10.2214/ajr.17.19303 |
| 30 | FAMILIARI A， LIBERATI M， LIM P， et al. Diagnostic accuracy of magnetic resonance imaging in detecting the severity of abnormal invasive placenta： A systematic review and meta-analysis［J］. Acta Obstet Gynecol Scand， 2018， 97（5）：507-520. doi:10.1111/aogs.13258 |
| 31 | BOURGIOTI C， ZAFEIROPOULOU K， FOTOPOULOS S， et al. MRI prognosticators for adverse maternal and neonatal clinical outcome in patients at high risk for placenta accreta spectrum （PAS） disorders［J］. J Magn Reson Imaging， 2019， 50（2）：602-618. doi:10.1002/jmri.26592 |
| 32 | XIA J， HU Y， HUANG Z， et al. A novel MRI-based diagnostic model for predicting placenta accreta spectrum［J］. Magn Reson Imaging， 2024，109：34-41. doi:10.1016/j.mri.2024.02.014 |
| 33 | ZOU L， WANG P， SONG Z， et al. Effectiveness of a fetal magnetic resonance imaging scoring system for predicting the prognosis of pernicious placenta previa： A retrospective study［J］. Front Physiol， 2022，13：921273. doi:10.3389/fphys.2022.921273 |
| 34 | 徐玉静， 高文娟， 徐晓臣， 等. 2020 ACR胎盘植入性疾病影像学检查指南解读［J］. 现代妇产科进展， 2021， 30（12）： 954-956. doi:10.13283/j.cnki.xdfckjz.2021.12.039 |
| 35 | KLIEWER M A， BOCKOVEN C G， REEDER S B， et al. Ferumoxytol-enhanced MR demonstration of changes to internal placental structure in placenta accreta spectrum： Preliminary findings［J］. Placenta， 2023， 134：1-8. doi:10.1016/j.placenta.2023.02.003 |
| 36 | HOROWITZ J M， HOTALEN I M， MILLER E S， et al. How Can Pelvic MRI with Diffusion-Weighted Imaging Help My Pregnant Patient？［J］. Am J Perinatol， 2020， 37（6）：577-588. doi:10.1055/s-0039-1685492 |
| 37 | LI H， LU T， LI M， et al. Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging［J］. Insights Imaging， 2023， 14（1）：93. doi:10.1186/s13244-023-01448-z |
| 38 | LU T， WANG Y， GUO A， et al. Monoexponential， biexponential and diffusion kurtosis MR imaging models： Quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders［J］. BMC Pregnancy Childbirth， 2022， 22（1）：349. doi:10.1186/s12884-022-04644-9 |
| 39 | LEóN R L， BROWN B P， PERSOHN S A， et al. Intravoxel incoherent motion MR imaging analysis for diagnosis of placenta accrete spectrum disorders： A pilot feasibility study［J］. Magn Reson Imaging， 2021， 80：26-32. doi:10.1016/j.mri.2021.03.007 |
| 40 | 王颖超， 黄刚. MRI新技术在胎盘植入性病变评估的研究进展［J］. 磁共振成像， 2023， 14（1）： 194-197，202. |
| 41 | 徐蕊， 何明钰， 刘新峰， 等. 磁共振新兴技术在肝纤维化的研究进展［J］. 实用医学杂志， 2023， 39（1）：124-128. |
| 42 | YOUNG D， KHAN N， HOBSON S R， et al. Diagnosis of placenta accreta spectrum using ultrasound texture feature fusion and machine learning［J］. Comput Biol Med， 2024， 178： 108757. doi:10.1016/j.compbiomed.2024.108757 |
| 43 | ROMEO V， RICCIARDI C， CUOCOLO R， et al. Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa［J］. Magn Reson Imaging， 2019， 64：71-76. doi:10.1016/j.mri.2019.05.017 |
| 44 | REN H， MORI N， MUGIKURA S， et al. Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging［J］. Abdom Radiol （NY）， 2021， 46（11）：5344-5352. doi:10.1007/s00261-021-03226-1 |
| 45 | YE Z， XUAN R， OUYANG M， et al. Prediction of placenta accreta spectrum by combining deep learning and radiomics using T2WI： A multicenter study［J］. Abdom Radiol （NY）， 2022， 47（12）：4205-4218. doi:10.1007/s00261-022-03673-4 |
| 46 | XUAN R， LI T， WANG Y， et al. Prenatal prediction and typing of placental invasion using MRI deep and radiomic features［J］. BioMedical Engineering OnLine， 2021， 20： 56. doi:10.1186/s12938-021-00893-5 |
| 47 | CHU C， LIU M， ZHANG Y， et al. MRI-Based Radiomics Analysis for Intraoperative Risk Assessment in Gravid Patients at High Risk with Placenta Accreta Spectrum［J］. Diagnostics （Basel）， 2022， 12（2）：485. doi:10.3390/diagnostics12020485 |
| 48 | ZONG M， PEI X， YAN K， et al. Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta［J］. J Magn Reson Imaging， 2024， 59（2）： 510-521. doi:10.1002/jmri.29023 |
| 49 | STANZIONE A， VERDE F， CUOCOLO R， et al. Placenta Accreta Spectrum Disorders and Radiomics： Systematic review and quality appraisal［J］. Eur J Radiol， 2022， 155：110497. doi:10.1016/j.ejrad.2022.110497 |
/
| 〈 |
|
〉 |