Abstract
BACKGROUND:
Antenatal assessment of maternal risk factors and imaging evaluation can help in diagnosis and treatment of placenta accreta spectrum (PAS) in major placenta previa (PP). Recent evidence suggests that magnetic resonance imaging (MRI) could complement ultrasonography (US) in the PAS diagnosis.
OBJECTIVES:
Evaluate the incidence, risk factors, and maternal morbidity related to the MRI diagnosis of PAS in major PP.
DESIGN:
A 10-year retrospective cohort study.
SETTING:
Tertiary care hospital.
PATIENTS AND METHODS:
We report on patients with major PP who had cesarean delivery in Abha Maternity and Children's Hospital (AMCH) over a 10-year period (2012-2021). They were evaluated with ultrasonography (US) and color Doppler for evidence of PAS. Antenatal MRI was ordered either to confirm the diagnosis (if equivocal US) or to assess the depth of invasion/extra-uterine extension (if definitive US).
MAIN OUTCOME MEASURES:
Risk factors for PAS in major PP and maternal complications.
SAMPLE SIZE:
299 patients
RESULTS:
Among 299 patients, MRI confirmed the PAS diagnosis in 91/299 (30.5%) patients. The independent risk factors for MRI diagnosis of PAS in major PP included only repeated cesarean sections and advanced maternal age. The commonest maternal morbidity in major PP with PAS was significantly excessive intraoperative bleeding.
CONCLUSION:
MRI may be a valuable adjunct in the evaluation of PAS in major PP, but not as a substitute for US. MRI may be suitable in major PP/PAS patients who are older and have repeated cesarean deliveries with equivocal results or suspected deep/extra-uterine extension on US.
LIMITATION:
Single center, small sample size, lack of complete histopathological diagnosis.
CONFLICT OF INTEREST:
None.
INTRODUCTION
Historically, a morbidly adherent placenta or abnormally invasive placenta or the placenta accreta spectrum (PAS) is a broad-spectrum disorder related to the pathologically adherent and deeply invading placental tissues through the uterine myometrium.1 By March 2018, the International Federation of Gynecology and Obstetrics (FIGO) had proposed the terminology (PAS), as a standardized terminology, to describe all placental implantation disorders.2 Several theories have been offered to explain the etiology of PAS disorder; however, the most acceptable explanation is uterine decidual destruction, mostly by previous cesarean surgeries, hysterectomies1 and many surgical gynecologic procedures.3 In fact, the presence of placenta previa (PP) and a history of previous cesarean deliveries are the two major risk factors for PAS, and the incidence increases linearly with the number of repeated cesarean deliveries or hysterotomies.4,5 PP at one stage was considered necessary in PAS diagnosis.6 Such antenatal situations (PP and PAS) could be associated with high maternal and neonatal morbidity and even mortality.7
The latest publications of the American College of Obstetricians and Gynecologists (ACOG) “Obstetric Care Consensus” No. 9, 20198 and ACOG “Committee Opinion” No 7, 20189 confirm that both antenatal assessment of maternal risk factors and imaging evaluation can help in guiding the antenatal diagnosis of PAS. In practice, the outcomes are maximally optimized when delivery occurs at highly equipped maternal care tertiary centers, before the onset of labor or bleeding with availability of multidisciplinary staff for managing complex and complicated maternal morbidities.
Ultrasound (US) is the first-line imaging technique for PAS diagnosis because it is effective, low cost, readily available, and less time is required for exploration, with an overall sensitivity of 100% and specificity of 100% for “multiple” ultrasound signs; however, this modality has lower specificity for the analysis of the depth of myome-trial invasion (specificity 64.8%-sensitivity 100%).10 On the other hand, magnetic resonance imaging (MRI) has a high sensitivity and specificity for PAS diagnosis (sensitivity 100%, specificity 100%) and higher accuracy for detecting the depth of placental invasion/extension in comparison to US (specificity 96.8%-98.8%, specificity 86.5%–100%).11
An updated review by Fratelli et al 2022,12 on the diagnostic accuracy of US and MRI in PAS disorders, showed that the advantages of each imaging modality counteract the limitations of the other. Thus, the disadvantages of US, such as operator-dependence and limited penetration and narrow field of view, are compensated by MRI's reproducible large field of view. Obviously, the most evident advantage of MRI is its high quality contrast resolution and tissue specific description, allowing a detailed evaluation of the whole placental-myometrial junction with accurate assessment of deep invasion or extra-uterine extension. Notably, its limited availability and high cost are recognized disadvantages of MRI, which is also dependent on the technician experience.13
The current study is a retrospective analysis of a cohort of consecutive patients with major PP with “equivocal” (suspicious) or “definitive” evidence of PAS on US and color Doppler examination. MRI was ordered to confirm the diagnosis (if equivocal) or depth of invasion and/or extra-uterine extension (if definitive). We aimed to determine the incidence, risk factors and maternal morbidity related to the MRI diagnosis of PAS in major PP patients.
PATIENTS AND METHODS
This retrospective cohort study initially included consecutive patients diagnosed with major PP admitted to Abha Maternity and Children's Hospital (AMCH) over a 10 year-period (2012–2021), Aseer region, Saudi Arabia. US and color Doppler examinations were used to diagnose PAS. Antenatal MRI was ordered either to confirm the diagnosis or to assess invasion and/or extra-uterine extension. The Research Ethics Committee at King Khalid University approved the study (ECM# 2023-607).
We diagnosed major PP when the placenta reached the internal os, and partially or completely covers it after 24 weeks gestation. Major PP was confirmed after 32 weeks; based on ultrasonographic types III and IV. The antenatal identification of PAS was primarily performed by trans-abdmonial US with color Doppler examination. This was done beyond 24 weeks’ gestation and at 32–36 weeks to re-evaluate placental location and to diagnose PAS. If two or more of the characteristic PAS ultrasound signs were present, a diagnosis of PAS was made. With only one (isolated) sign, the case was diagnosed as equivocal/suspicious; if no ultrasound signs were present, the case was diagnosed as negative for PAS.14
We consider MRI to be adjunctive to US because the accuracy of US/color Doppler in PAS diagnosis is greatly dependent on the expertise of the ultrasonographer (up to 2021 we did not have a specialized PP/PAS US unit in AMCH).15 The US diagnostic accuracy of PAS screening in non-specialist referring US units is only 50%.16 Furthermore, none of the US signs (or even combinations of signs) associated PAS reliably predicts depth of myometrial invasion or type of PAS.17 Thus, the MRI appears to be complementary to US, when there is an equivocal result or to assess depth of placental invasion/extension.12 According to the MRI findings, the PAS was classically subdivided into three grades: accreta, increta and percreta, depending on the depth of invasion into the myometrium of the uterus.10,11 All patients were delivered by cesarean surgery (emergency or planned); because if the PP reached the internal os or covered it after 35 weeks, this is an indication for a cesarean delivery.7 A postoperative histopathological examination was performed to confirm the PAS diagnosis in hysterectomy specimens when possible, as this is neither always achievable nor accurate.18 PAS diagnosis cannot be established among patients who have heavy intraoperative bleeding with difficult placental separation but are non-hysterectomized. Intraoperative blood loss was assessed by visual estimation. Up to 1000 mL was considered normal, 1000-2000 mL as mild, 2000-3000 mL as moderate and more than 3000 mL was considered heavy bleeding.
The records of all PP patients with US/Doppler evidence of PAS (equivocal or definitive diagnosis) and confirmed with MRI were reviewed to collect the following data: age, obstetric characteristics, placental site (anterior or posterior PP), presence of PAS on ante-natal imaging (US/color Doppler and MRI), and maternal morbidity. Maternal morbidity included: admission and discharge hemoglobin levels, RBCs/fresh frozen plasma transfusions, admission and termination gestational ages, emergency/planned cesarean deliveries, emergency cesarean hysterectomy, intraoperative bleeding, visceral injuries, and length of postoperative hospital stay. The extracted data were recorded and coded in a predesigned excel sheet.
Data analysis was performed using IBM SPSS version 19.0 for Windows (IBM SPSS Inc., Armonk, NY: IBM Corp, USA). The medians, means and standard deviations were used to describe continuous data, which was not normally distributed. We applied the Mann-Whitney U test to compare numerical data and chi-square test (Χ2) for categorical data. Multivariable logistic regression analysis was performed and presented with crude and adjusted odds ratio (OR) and 95% confidence intervals. A P value of less than .05 was considered statistically significant. The Hosmer-Lemeshow test was used to test goodness of fit of the logistic regression analysis.
RESULTS
At admission, the median age was 33 weeks (Table 1). Women with PP/PAS were older (P=.003), had higher parity (P=.002) and more repeated cesarean sections (P=.001) (Table 2a) (P=.003). Placental location is shown in Table 2b. Other admission obstetrical characteristics did not show significant differences. Among 299 patients with major PP patients identified over the ten-year period, nearly 33% (77/236 patients) had definitive results (with ≥2 US signs), while the remainder (n=159) had equivocal PAS diagnosis (with 1 US sign). PAS disgnosis was confirmed by MRI in 91 (30.5%) of the major PP patients with negative results in 145. (Figure 1). Compared to the entire cohort, 30.5% had confirmed PAS diagnosis (91/299). The independent risk factors for MRI diagnosis of PAS in major PP included repeated cesarean sections (adjusted OR 3.923, 95%CI 2.082–7.390) and advanced maternal age (adjusted OR 2.147, 95%CI 1.183–4.259) (Table 3). Other variables analyzed in the multivariable regression model were not independent risk factors (gravidity, abortions, previous uterine surgery, and placental location). The commonest maternal morbidity in major PP with PAS was excessive intraoperative bleeding (61.5% vs. 24.1%, P<.001). All differences in maternal morbidity are shown in Tables 4, 5 and 6. Variables that did not differ included emergency versus elective cesarean section, preoperative hemoglobin level, postoperative hemoglobin level, and termination gestational age.
Table 1.
Characteristics of the study group at admission (n=236).
| Variable | Values |
|---|---|
| Maternal age (years) | 33 (9) [17–47] |
| Gravidity | 4.93 (2.68) [1–16] |
| Parity | 3.14 (2.12) [0–12] |
| 0–4 | 184 (77.9) |
| 5+ | 52 (22.1) |
| Abortions | 0.8 (1.1) [0–6] |
| Number of cesarean deliveries | 1.86 (1.63) [0–6] |
| 0–2 | 166 (70.3) |
| 3+ | 70 (29.7) |
| Admission gestational age (weeks) | 32.7 (3.33) [25–37] |
| Termination gestational age (weeks) | 34.56 (6.13) [27–39] |
| Previous Uterine Surgery (D&C-D&E) | |
| No | 182 (77.1) |
| Yes | 54 (22.9) |
| Antepartum hemorrhage | |
| No bleeding | 18 (7.6) |
| Bleeding | 218 (92.4) |
| Placental site | |
| Previa anterior | 75 (31.8) |
| Previa posterior | 161 (68.2) |
| Placenta Accreta Spectrum (PAS) by USS+ Doppler (n=236) | |
| Equivocal for PAS | 159 (67) |
| Definitive PAS | 77 (33) |
| Placenta Accreta Spectrum (PAS) by MRI (n=236) | |
| No PAS | 145 (61.5) |
| Definitive PAS | 91 (38.5) |
| MRI Grading of PAS disorder (n=91) | |
| Accreta | 56 (61.5) |
| Increta | 15 (16.6) |
| Percreta | 20 (21.9) |
Data are n (%) for categorical variables and median (minimum-maximum) for continuous variables. D&C: dilatation and curettage; D&E: dilatation and evacuation
Table 2a.
Obstetrical characteristics in major placenta previa patients with and without placenta accreta spectrum by MRI.
| Variable | Value | Mann-Whitney U value | P value |
|---|---|---|---|
| Maternal age (years) | |||
| PP without PAS (n=145) | 34 (10, 18–47) | 2.558 | .003 |
| PP with PAS (n=91) | 33 (7.5, 16–47) | ||
| Parity | |||
| PP without PAS (n=145) | 3 (2, 0–12) | 3.127 | .002 |
| PP with PAS (n=91) | 3 (2.5, 0–12) | ||
| Number of cesarean deliveries | |||
| PP without PAS (n=145) | 1 (3, 0–6) | 6.032 | .001 |
| PP with PAS (n=91) | 2 (3, 0–6) | ||
Data are median (interquartile range and minimum-maximum). Comparison by Mann-Whitney U test.
Table 2b.
Placental location (n=236).
| Placental location | Anterior 75 (31.8) | Posterior 161 (68.2) | Pearson chi-Square | P value |
|---|---|---|---|---|
| PP without PAS (n=145) | 37 (25.5) | 108 (74.5) | 5.802 | .009 |
| PP with PAS (n=91) | 38 (41.8) | 53 (58.2) |
Data are n (%).
Figure 1.

Study flow diagram.
Table 3.
Multiple logistic regression analysis of the independent risk factors for MRI diagnosis of PAS in major PP.
| Risk Factor | PP with PAS (n=91) | PP with out PAS (n=145) | P value | Crude OR (95% CI) | P value | Adjusted OR (95% CI) |
|---|---|---|---|---|---|---|
| Maternal age (years) | ||||||
| ≤30 (reference) | 19 (20.9) | 56 (38.6) | .004 | 2.38 (1.30–4.37) | .029 | 2.147 |
| 31+ | 72 (79.1) | 89 (61.4) | 1.183–4.259 | |||
| Number of cesarean deliveries | ||||||
| 1–2 (reference) | 47 (51.6) | 119 (82.1) | <.001 | 4.285 (2.37–7.73) | <.001 | 3.923 |
| 3+ | 44 (48.45) | 26 (17.9) | 2.082–7.390 | |||
Data are n (%) for variables. Model fit summary: Deviance 282.386, Overall model chi-square 32.314, P<.001, Cox&Snell R square 0.128, Nagelkerke R square 0.174
Table 4.
A comparison of maternal morbidities in major PP patients with and without PAS by MRI.
| Variable | Value | Mann-Whitney U value | P value |
|---|---|---|---|
| Packed RBCS Transfusion (units) | |||
| PP without PAS (n=145) | 1 (1, 0–5) | 6092.5 | <.001 |
| PP with PAS (n=91) | 2 (1, 0–13) | ||
| Fresh frozen plasma transfusion (units) | |||
| PP without PAS (n=145) | 0 (1, 0–4) | 23728 | <.001 |
| PP with PAS (n=91) | 2 (3, 0–24) | ||
| Post operative stay (days) | |||
| PP without PAS (n=145) | 3 (0, 2 5) | 45.5 | <.001 |
| PP with PAS (n=91) | 3 (1.8, 1–15) | ||
Data are median (interquartile range and minimum-maximum); Commparison by Mann-Whitney U test.
Table 5.
Intra-operative bleeding.
| NO to mild bleeding | Moderate to heavy | Pearson chi-square | P value | |
|---|---|---|---|---|
| PP without PAS (n=145) | 110 (75.9) | 35 (24.1) | 37.727 | <.001 |
| PP with PAS (n=91) | 35 (38.5) | 56 (61.5) |
Table 6.
Additional maternal morbidity.
| DONE | NOT DONE | Pearson chi-square | P value | |
|---|---|---|---|---|
| Emergency hysterectomy (n=28) | ||||
| PP without PAS (n=145) | 1 (0.7) | 144 (99.3) | 44.907 | <.001 |
| PP with PAS (n=91) | 27 (29.7) | 64 (70.3) | ||
| Urologic injuries (n=14) | ||||
| PP without PAS (n=145) | 1 (0.7) | 144 (99.3) | 18.521 | <.001 |
| PP with PAS (n=91) | 13 (14.3) | 78 (85.7) | ||
Data are n (%).
DISCUSSION
In this is 10-year retrospective analysis, 299 consecutive patients were diagnosed with major PP. MRI confirmed the PAS diagnosis in 91 patients. Generally, previous cesarean delivery and PP are the two most important risk factors for PAS with further substantial increased risk if both are present together.6 Even alone, PP is one of the most predictive risk factors in the development of PAS.5 In the current study the incidence of PAS was 30.5% (91/299) among major PP patients; a previous systematic review showed a wide range in incidence (2.9%–71.6%) of PAS in women presenting with PP in different studies.19 Nevertheless, epidemiological studies have revealed a notable rise in the prevalence of caesarean deliveries and, consequently, an increase in the occur-rence of PAS over time.4,16,19–21 Unfortunately, a recent review confirmed that if PAS is left undiagnosed in 50% to 75% of patients, increasing maternal morbidity and mortality (i.e. determined only at the time of delivery).22
Notably, our comparison of the obstetrical characteristics of PP patients (with and without PAS by MRI) demonstrated that patients with major PP/PAS were older and had a higher mean number of deliveries than patients. Such obstetric features of the PP/PAS patients are typically reported by previous studies from AMCH by Bahar et al23 Zaki et al24 and by studies from other regional hospitals in Saudi Arabia.25–27 Earlier multivariate analyses showed that women aged 34-35 years or older28 and multiparity (para >3) had higher risks of PP,29 which in turn increased the risk of PAS. A clear dose-response pattern was observed with increasing age or parity.
As expected, our major PP/PAS group had a higher mean number of cesarean deliveries indicating that the majority had more than one previous cesarean delivery. Nearly 44% and 30% of them had 2+ and 3+ previous cesarean deliveries; respectively. Such a high mean number of repeated cesarean deliveries is higher than in similar Saudi studies on PP/PAS (2+ previous cesarean deliveries was 33.5% by Mansour and Mousa30 24.5% by Kassem and Alzahrani27 and 20.2% by Bahar et al 200923). The number of repeated cesarean deliveries dramatically increases the risk of PP.20,31 On the other hand, reports showed that women with repeated cesarean deliveries are particularly at risk for PAS reaching 6.74% in women undergoing their sixth or more cesarean deliveries. However, the presence of both PP in a scarred uterus substantially increased the risk of PAS (up to 67% for fifth or more repeat cesarean deliveries).4
The commonest placental location among our patients was the posterior position, in 74.5% of PP patients without PAS, but only in 58% of PP with PAS (P=.009). This is consistent with similar studies showing that 60% to 80% of PP women exhibited a posterior placental position.32,33 These studies suggested that the placenta prefers to develop on the posterior uterine wall in PP. However, the incidence of PAS was significantly higher in the anterior group, irrespective of PP degree. Nevertheless, some studies contradict our findings; Morgan et al34 and Koai et al35 showed that anterior PP is more common than a posterior position with significantly higher maternal hemorrhagic morbidity and preterm delivery.
The multivariable logistic regression analysis of the independent risk factors for PAS in PP patients showed that only previous cesarean deliveries (adjusted OR of 3.923) and older maternal age (adjusted OR of 2.147) significantly increased the odds ratios of PAS on MRI examination. Two previous 10-year analyses were published from AMCH on the risk factors and outcomes of PP/PAS, by Bahar et al23 and Zaki et al24 together, these studies reported high odds ratios of PP/PAS due to increased number of repeated cesarean deliveries (OR of 3.2 and OR of 7.9; respectively). This is in agreement with larger international multicenter studies which revealed comparable or higher odds ratios of PAS due to repeated cesarean deliveries as Jenabi et al36 (OR, 1.60) Farquhar et al37 (OR, 13.8) and OR of 34.9 by Bowman et al.21
Maternal morbidity among our PP patients with PAS by MRI showed significantly increased mean numbers of packed RBCS and fresh frozen plasma transfusions (P<.001), and increased percentage of intraoperative moderate/heavy bleeding (P<.001). This pattern of serious hemorrhagic morbidity is a fixed main feature of the studies on PP/PAS from AMCH23,24 and similar studies from different regions in Saudi Arabia.25–27,30 An updated review article by Fonseca and Ayres de Campos38 indicated that PAS is associated with 18-fold increase in maternal morbidity; and heavy bleeding is the commonest morbidity. Moreover, PP/PAS patients had significantly increased rates of emergency hysterectomy (29.7% vs. 0.7%, P<.001), and consequently longer mean number hospital stay (P<.001). Similarly, many Saudi studies recorded emergency hysterectomy as a major morbidity related to the life threatening bleeding due to PP/PAS; the percentage of hysterectomy due to PP alone ranged from 4.5% to 22% and was as high as 50% to 84% among PP with PAS.23–27,30 We reported 14 (5.9%) intraoperative urological injuries (almost bladder injuries) secondary to the extra-uterine placental extension (percreta) with bladder invasion. The recorded incidences in some Saudi studies ranged from 4% to 9.8%.25,27,30 A recent study by Chen et al39 MRI confirmed a 100% specificity for predicting the extra-uterine placental extension; where all patients with evidence of bladder invasion received partial bladder resection and all those with parametrial or cervical invasion underwent cesarean hysterectomy.
In fact, tentative trials of separating an invasive placenta indicate a risk of hysterectomy in up to 100% of cases.40 Accordingly, the current recommendations of the ACOG, Society of Gynecologic Oncology (SGO); the Society for Maternal–Fetal Medicine (US-SMFM)8,9 and the consensus of the FIGO2,41 expert panel: “among patients with high suspicion for PAS during a cesarean delivery, most of surgeons proceed to hysterectomy after delivery of the fetus, with the placenta left in-place”.
We suggest that MRI is a valuable adjunct in the evaluation of PAS in major PP; as a compliment but not as a substitute to US. Both repeated cesarean sections and older age appeared as independent risk factors for the existence of PAS on MRI in major PP. These high risk PP/PAS patients had substantially higher rates of maternal morbidity. MRI may be recommended in major PP/PAS patients who are older with repeated cesarean deliveries and having equivocal results or suspected deep/extra-uterine extension on US. Limitations of the study were that it was single-center with a relatively small sample size, and there was lack of complete histopathological diagnosis and MRI is costly.
Funding Statement
None
REFERENCES
- 1.Eshkoli T, Weintraub AY, Sergienko R, Sheiner E.. Placenta accreta: Risk factors, perinatal outcomes, and consequences for subsequent births. Am J Obstet Gynecol. 2013;208(3):219.e1–219.e7. [DOI] [PubMed] [Google Scholar]
- 2.Jauniaux E, Bhide A, Kennedy A, Woodward P, Hubinont C, Collins S,. et al. FIGO consensus guidelines on placenta accreta spectrum disorders: Prenatal diagnosis and screening. Int J Gynecol Obstet. 2018;140(3):274–80. [DOI] [PubMed] [Google Scholar]
- 3.Baldwin HJ, Patterson JA, Nippita TA, Torvaldsen S, Ibiebele I, Simpson JM,. et al. Antecedents of abnormally invasive placenta in primiparous women: Risk associated with gynecologic procedures. Obstet Gynecol. 2018;131(2):227–33. [DOI] [PubMed] [Google Scholar]
- 4.Silver RM, Landon MB, Rouse DJ, Leveno KJ, Spong CY, Thom EA,. et al. Maternal morbidity associated with multiple repeat cesarean deliveries. Obstet Gynecol. 2006;107(6):1226–32. [DOI] [PubMed] [Google Scholar]
- 5.Conturie CL, Lyell DJ.. Prenatal diagnosis of placenta accreta spectrum. Curr Opin Obstet Gynecol. 2022;34(2):90–9. [DOI] [PubMed] [Google Scholar]
- 6.Clark SL, Koonings PP, Phelan JP.. Placenta previa/accreta and prior cesarean section. Obstet Gynecol. 1985;66(1):89–92. [PubMed] [Google Scholar]
- 7.Jauniaux ERM, Alfirevic Z, Bhide AG, Bel-fort MA, Burton GJ, Collins SL,. et al. Placenta Praevia and Placenta Accreta: Diagnosis and Management: Green-top Guideline No. 27a. BJOG An Int J Obstet Gynaecol. 2019;126(1):e1–48. [DOI] [PubMed] [Google Scholar]
- 8.Kilpatrick SJ, Menard MK, Zahn CM, Callaghan WM.. Obstetric Care Consensus #9: Levels of Maternal Care: (Replaces Obstetric Care Consensus Number 2, February 2015). Am J Obstet Gynecol. 2019;221(6):B19–30. [DOI] [PubMed] [Google Scholar]
- 9.Alison G. Cahill, MD, MSCI; Richard Beigi, MD, MSc; R. Phillips Heine, MD; Robert M. Silver, MD; and Joseph R. Wax M.. American College of Obstetricians and Gynecologists and the Society for Maternal–Fetal MedicineAmerican College of Obstetricians and Gynecologists; Society of Maternal-Fetal Medicine. Obstetric Care Consensus No. 7: Placenta Accreta Spectrum. Obs Gynecol [Internet]. 2018;132(6):e259–75. Available from: https://www.acog.org/clinical/clinical-guidance/obstetric-care-consensus/articles/2018/12/placenta-accreta-spectrum [DOI] [PubMed] [Google Scholar]
- 10.Cali G, Forlani F, Timor-Trisch I, Palacios-Jaraquemada J, Foti F, Minneci G,. et al. Diagnostic accuracy of ultrasound in detecting the depth of invasion in women at risk of abnormally invasive placenta: A prospective longitudinal study. Acta Obstet Gynecol Scand. 2018;97(10):1219–27. [DOI] [PubMed] [Google Scholar]
- 11.Familiari A, Liberati M, Lim P, Pagani G, Cali G, Buca D,. et al. Diagnostic accuracy of magnetic resonance imaging in detecting the severity of abnormal invasive placenta: a systematic review and meta-analysis. Acta Obstet Gynecol Scand. 2018;97(5):507–20. [DOI] [PubMed] [Google Scholar]
- 12.Fratelli N, Fichera A, Prefumo F.. An update of diagnostic efficacy of ultrasound and magnetic resonance imaging in the diagnosis of clinically significant placenta accreta spectrum disorders. Curr Opin Obstet Gynecol. 2022;34(5):287–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kapoor H, Hanaoka M, Dawkins A, Khurana A.. Review of MRI imaging for placenta accreta spectrum: Pathophysiologic insights, imaging signs, and recent developments. Placenta. 2021;104:31–9. [DOI] [PubMed] [Google Scholar]
- 14.Coutinho CM, Giorgione V, Noel L, Liu B, Chandraharan E, Pryce J,. et al. Effectiveness of contingent screening for placenta accreta spectrum disorders based on persistent lowlying placenta and previous uterine surgery. Ultrasound Obstet Gynecol. 2021;57(1):91–6. [DOI] [PubMed] [Google Scholar]
- 15.Shainker SA, Coleman B, Timor IE, Bhide A, Bromley B, Cahill AG,. 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. Am J Obstet Gynecol. 2021;224(1):B2–14. [DOI] [PubMed] [Google Scholar]
- 16.Bowman ZS, Eller AG, Kennedy AM, Richards DS, Winter TC, Woodward PJ,. et al. Accuracy of ultrasound for the prediction of placenta accreta. Am J Obstet Gynecol. 2014;211(2):177.e1–177.e7. [DOI] [PubMed] [Google Scholar]
- 17.Jauniaux E, Collins S, Burton GJ.. Placenta accreta spectrum: pathophysiology and evidence-based anatomy for prenatal ultrasound imaging. Am J Obstet Gynecol. 2018;218(1):75–87. [DOI] [PubMed] [Google Scholar]
- 18.Jauniaux E, Bhide A BG.. Pathophysiology of Accreta. 1st ed. Jauniaux E, Bhide A BG, editor. CRC Press; 2017. 13–28 p. [Google Scholar]
- 19.Jauniaux E, Bunce C, Grønbeck L, Lang-hoff-Roos J.. Prevalence and main outcomes of placenta accreta spectrum: a systematic review and meta-analysis. Am J Obstet Gynecol. 2019;221(3):208–18. [DOI] [PubMed] [Google Scholar]
- 20.Thurn L, Lindqvist PG, Jakobsson M, Col-morn LB, Klungsoyr K, Bjarnadóttir RI,. et al. Abnormally invasive placenta—prevalence, risk factors and antenatal suspicion: results from a large population-based pregnancy cohort study in the Nordic countries. BJOG An Int J Obstet Gynaecol. 2016;123(8):1348–55. [DOI] [PubMed] [Google Scholar]
- 21.Bowman ZS, Eller AG, Bardsley TR, Greene T, Varner MW, Silver RM.. Risk factors for placenta accreta: A large prospective cohort. Am J Perinatol. 2014;31(9):799–804. [DOI] [PubMed] [Google Scholar]
- 22.Ali H, Chandraharan E.. Etiopathogenesis and risk factors for placental accreta spectrum disorders. Best Pract Res Clin Obstet Gynaecol. 2021;72:4–12. [DOI] [PubMed] [Google Scholar]
- 23.Bahar A, Abusham A, Eskandar M, Sobande A, Alsunaidi M.. Risk Factors and Pregnancy Outcome in Different Types of Placenta Previa. J Obstet Gynaecol Canada [Internet]. 2009;31(2):126–31. Available from: 10.1016/S1701-2163(16)34096-8 [DOI] [PubMed] [Google Scholar]
- 24.Zaki ZMS, Bahar AM, Ali ME, Albar HAM, Gerais MA.. Risk factors and morbidity in patients with placenta previa accreta compared to placenta previa non-accreta. Acta Obstet Gynecol Scand. 1998;77(4):391–4. [PubMed] [Google Scholar]
- 25.Radwan A, Abdou AM, Kafy S, Sheba M, Allam H, Bokhari M,. et al. Maternal Outcome of Cases of Placenta Previa with and without Morbidly Adherent Placenta at King Abdul-Aziz University Hospital, Saudi Arabia. Open J Obstet Gynecol. 2018;08(13):1414–22. [Google Scholar]
- 26.Abduljabbar HS, Bahkali NM, Al-Basri SF, Al Hachim E, Shoudary IH, Dause WR,. et al. Placenta previa: A 13 years experience at a tertiary care center in Western Saudi Arabia. Saudi Med J. 2016;37(7):762–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kassem GA, Alzahrani AK.. Maternal and neonatal outcomes of placenta previa and placenta accreta: Three years of experience with a two-consultant approach. Int J Womens Health. 2013;5(1):803–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Zhang J, Savitz DA.. Maternal age and placenta previa: A population-based, case-control study. Am J Obstet Gynecol. 1993;168(2):641–5. [DOI] [PubMed] [Google Scholar]
- 29.Cieminski A, Długołecki F.. Relationship between placenta previa and maternal age, parity and prior caesarean deliveries. Ginekol Pol. 2005;76(4):284–9. [PubMed] [Google Scholar]
- 30.Mansour I, Mousa DH.. Incidence rate and outcome of placenta previa at maternity hospital in madinah, kingdom of Saudi Arabia: A retrospective study 2016-2017. Int J Clin Obstet Gynaecol [Internet]. 2019;3(5):207–12. Available from: 10.33545/gynae.2019.v3.i5d.352 [DOI] [Google Scholar]
- 31.Keag OE, Norman JE, Stock SJ.. Long-term risks and benefits associated with cesarean delivery for mother, baby, and subsequent pregnancies: Systematic review and meta-analysis. PLoS Med. 2018;15(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Jansen CHJR, Kleinrouweler CE, Kastelein AW, Ruiter L, van Leeuwen E, Mol BW PE.. Follow-up ultrasound in second-trimester low-positioned anterior and posterior placentae: prospective cohort study. Ultra-sound Obstet Gynecol. 2020. Nov;: 10.1002/uog.21903. Epub 2020 Oct 13. 2020; [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sekiguchi A, Nakai A, Kawabata I, Hayashi M TT.. Type and location of placenta previa affect preterm delivery risk related to ante-partum hemorrhage. J Med Sci. 2013; [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Morgan EA, Sidebottom A, Vacquier M, Wunderlich W LM.. The effect of placental location in cases of placenta accreta spectrum. 2019; [DOI] [PubMed] [Google Scholar]
- 35.Koai E, Hadpawat A, Gebb J, Goffman D, Dar P, Rosner M.. Clinical Outcomes of Anterior Compared With Posterior Placenta Accreta. Obstet Gynecol. 2014;123(Supplement 1):60S. [Google Scholar]
- 36.Jenabi E, Salimi Z, Bashirian S, Khazaei S, Ayubi E.. The risk factors associated with placenta previa: An umbrella review. Placenta. 2022;117:21–7. [DOI] [PubMed] [Google Scholar]
- 37.Farquhar CM, Li Z, Lensen S, McLintock C, Pollock W, Peek MJ,. et al. Incidence, risk factors and perinatal outcomes for placenta accreta in Australia and New Zealand: A case-control study. BMJ Open. 2017;7(10). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Fonseca A, Ayres de Campos D.. Maternal morbidity and mortality due to placenta accreta spectrum disorders. Best Pract Res Clin Obstet Gynaecol. 2021;72:84–91. [DOI] [PubMed] [Google Scholar]
- 39.Chen X, Shan R, Song Q, Wei X, Liu W, Wang G.. Placenta percreta evaluated by MRI: correlation with maternal morbidity. Arch Gynecol Obstet. 2020;301(3):851–7. [DOI] [PubMed] [Google Scholar]
- 40.Eller AG, Porter TF, Soisson P SR.. Optimal management strategies for placenta accreta. BJOG [Internet]. 2009; Available from: 10.1111/j.1471-0528.2008.02037.x [DOI] [PubMed] [Google Scholar]
- 41.Jauniaux E, Chantraine F, Silver RM, Langhoff-Roos J, Duncombe G, Klaritsch P,. et al. FIGO consensus guidelines on placenta accreta spectrum disorders: Epidemiology. Int J Gynecol Obstet. 2018;140(3):265–73. [DOI] [PubMed] [Google Scholar]
