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Obstetrics & Gynecology International Journal

Review Article Volume 5 Issue 6

What is the Best Predictor for Diagnosis of Placenta Accreta? An Evidence-Based Review

Adly Nanda Al Fattah, Laurensia Scovani, Rima Irwinda

Obstetrics and Gynecology Department, University of Indonesia, Jakarta-Indoensia

Correspondence: Adly Nanda Al Fattah, Fetomaternal Division, Obstetrics and Gynecology Department, University of Indonesia, CiptoMangunkusumo Hospital, Jakarta-Indoensia, Tel 6281222206663

Received: September 08, 2016 | Published: December 5, 2016

Citation: Fattah AN, Scovani L, Irwinda R (2016) What is the Best Predictor for Diagnosis of Placenta Accreta? An Evidence-Based Review. Obstet Gynecol Int J 5(6): 00177. DOI: DOI: 10.15406/ogij.2016.05.00177

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Abstract

Background: Antenatal diagnosis of placenta accreta is important because it could possibly reduce the morbidities. Several attempts including ultrasound, magnetic resonance imaging (MRI), multi-parameter prediction, and cell-free placental mRNA had been studied to establish a good predictor for diagnosis of placenta accreta. We aim to appraise several studies finding at the accuracy value of these predictors.

Methods: The search was conducted on the Cochrane Library®, PubMed® and EMBASE® with the keywords of “ultrasound”, “accreta”, and “predict” or “predictor” or “predicting”. We used diagnostic appraisal questions developed by Centre of Evidence-Based Medicine (CEBM), University of Oxford.

Result: Appraisal of 8 diagnostic studies involving 1324 patients underwent ultrasound, MRI, cell-free mRNA examination, or their combination for predicting placenta accreta was conducted finding at the diagnostic values. The overall rate of placenta accreta found on these studies were ranging from 8.4% to 31.8%. Accuracy, sensitivity (Se), specificity (Sp), positive predictive value (PPV), and negative predictive value (NPV) of ultrasound in this study in diagnosing placenta accreta were respectively 64.8% – 95.3%, 17% - 100%, 78.9%-100%, 56%-100%, and 64,8% - 100%. The Se, Sp, PPV, and NPV of MRI in predicting placenta accreta derived from 3 studies were respectively 88.89%-100%, 100%, 100%, 92.86%-100%. Se, Sp, PPV, and NPV of cell-free placental mRNA for placenta accreta prediction were respectively. 91.7%, 78.9%, 57.9% and 96.8% using the multiple of median (MoM) of 3.325 as the cut-off point.

Conclusion: Ultrasound has a wide range of diagnostic accuracy in predicting placenta accreta. MRI had better diagnostic accuracy for predicting the stage of invasion of placenta. Free-placental mRNA is an objective and promising predictor for diagnosis of placenta accreta.

Keywords: Accuracy, Placenta accrete, Cell-free placental mRNA, MRI, Ultrasound

Background

The incidence of placenta accreta and maternal death are substantially increased due to the increased rate cesarean section.1,2 The incidence of placenta accreta reported approximately 0.8 to 3 per 1000 deliveries. Maternal mortality related to placenta accreta and its complications occurs approximately as high as 6-7%.3 Placenta accreta is the most common cause for emergency postpartum hysterectomy and may lead to severe maternal morbidity and mortality.4,5 It is possibly lead to massive hemorrhage, transfusion, and prolonged length of stay.6 Antenatal diagnosis of placenta accreta is important because it could reduce the morbidities, i.e. blood loss and need for blood transfusion.7,8 The gold standard diagnosis of placenta accreta will be determined by histology evaluation.9 Several attempts i.e. ultrasound index measurement, plasma cell-free placental mRNA assay,10 MRI examination,10 clinical risk factors analysis and multi-parameter predictor had been studied to develop better diagnostic accuracy for prediction of placenta accreta. Color-doppler ultrasound remains the first line modality for diagnosis of placenta accreta, however it has a wide-range of predictive values. We aim to appraise several studies finding at the accuracy value of the predictors of placenta accreta.

Clinical question

Does ultrasound, MRI, cell-free placental mRNA accurate for diagnosis of placenta accreta?
P (Population): Pregnant women with and without identified risk factors of placenta accreta
I (Intervention): Ultrasound, MRI, cell-free placental mRNA
C (comparison): Histopathology examination
O (outcome): Placenta accrete

Methods

Search strategy

The search was conducted on August 15th 2016 on the Cochrane Library®, PubMed® and EMBASE® with the keywords of “ultrasound”, “accreta”, and “predict” OR “prediction” OR “index” on each databases with certain techniques (Figure 1). Search focused on articles in diagnostic type showing diagnostic values of the studies. Reference lists of relevant articles were searched for other possibly relevant studies. After obtaining a result, a first selection was done by screening the study titles and abstracts. Eight articles were available as full text, and all of them included in our analysis.

Figure 1 Searching Flow.

Critical appraisal

Appraisal of 8 diagnostic studies involving 1324 patients underwent ultrasound, MRI, cell-free mRNA examination, or their combination for predicting placenta accrete was conducted finding at the diagnostic values (Se, Sp, PPV, NPV). Review study or study without diagnostic values reported were excluded. We used diagnostic appraisal questions developed by Centre of Evidence-Based Medicine (CEBM), University of Oxford (available at: http://www.cebm.net/critical-appraisal/).

Results

Appraisal study was performed on 8 retrospective studies involving pregnant woman who had recognized risks of having placenta accreta. Doppler or 2D grey-scale color ultrasound (8 studies), MRI (3 studies), cell-free placental mRNA examination (1 study), and maternal characteristics (1 study) were respectively used in each studies either as single predictor or in combination with other variables for diagnosis of placenta accreta. The diagnosis was confirmed using histology examination in all studies. The overall rate of placenta accreta found on these studies were ranging from 8.4% to 31.8%. Accuracy, Se, Sp PPV, and NPV of ultrasound in this study in detecting accreta were respectively 64.8% – 95.3%, 17% - 100%, 78.9%-100%, 56%-100%, and 64.8% - 100%(Table 1&2 ).

References

Eligible for analysis

Design

Modality

Parameters/Classification

Cutoff

Accreta Rate (%)

Result

Rac et al. (2014)

184

Retrospective review

Ultrasound

The combination of smallest sagittal myometrial thickness, lacunae, and bridging vessels, in addition to number of cesarean deliveries and placental location.

>8

8.40%

AUC: 0.87
Invasion: 96%
Se: 17%
Spec: 100%
PPV: 100%
NPV: 71%

Aitken et al.11

65

Retrospective review

Ultrasound and MRI

A, partial invasion into the myometrium;
B, invasion spanning the full thickness of the myometrium; and
C, invasion of placental tissue into the parametrium, including cervical invasion by placental tissue.
S1 describing the upper uterine segment supplied by the uterine and upper vesical arteries
S2 describing the lower uterine segment supplied by an anastomotic network of deeply located pelvic subperitoneal vessels.

 

-

Ultrasound:
AIP: 91.9%,
Invasion: 38.7% Parametrial involvement: 6.3%
MRI:
AIP: 98.4%, Invasion: 61.3%, Parametrial involvement: 68.8%

Naghshineh13

50

Cross-sectional

Doppler Ultrasound, cell‐free placental mRNA

Turbulent or diffuse blood flow through placental lacunae; vessels crossing the interface disruption site

Cell Free placental mRNA:< 3.325 (MoM)

24%

Doppler ultrasound:
Se: 83.3%, Sp: 78.9%,
PPV: 56% and NPV 94%,
Cell Free placental mRNA:
91.7%, 78.9%, 57.9% and 96.8%,

Kumar et al.16

22

Prospective observational study

Ultrasound and MRI

Ultrasound: Presence of placenta previa, presence of irregular anechoic areas (lacunae), moving echogenicity (turbulence) within those lacunae, Doppler flow within these lacunae with vascular channel distributed throughout placenta, disruption of retroplacental flow, dilated subplacental vascular channels with pulsatile venous flow, and interface vascularity with abnormal blood vessels linking placenta to the bladder with arterial blood flow
MRI: marked placental heterogeneity, dark intraplacental bands, intraplacental hemorrhages, and uterine bulge.

-

31.80%

Ultrasound:
Se: 100%, Sp: 92.31%,
PPV:90%, NPV: 100%
MRI
Se: 88.89%, Sp: 100%,
PPV:100%, NPV: 92.86%

Bowman17

229

Retrospective analysis

Ultrasound

Number of lacuna, loss of retroplacental clear space, loss of visualization of the myometrium, and bladder wall irregularity.
Subplacental vascularity, vessels bridging from the placenta to the uterine margin, gaps in myometrial blood flow, vessels crossing interface disruption sies, or turbulent lacunae.

-

24%

Accuracy: 64.8%
Se: 53.5%, Sp: 88.0%,
PPV: 82.1%, NPV: 64.8%,

Cho et al.15

442

Retrospective analysis

Maternal characteristics + uterine artery Doppler PI

Previous cesarean delivery
Mean uterine artery PI

-

8.82%

AUC : 0.77

Ibrahim et al.12

100

Retrospective cohort

MRI Ultrasound

Ultrasound: loss of the retro- placental hypoechoic clear zone, loss of the bladder wall- uterine interface, presence of placental lacunae (vascular spaces), abnormal color Doppler imaging pattern as the presence of hypervascularity of the interface between the uterine serosa and the bladder wall, turbulent flow with- in placental lacunae and reduced myometrial thickness
MRI: uterine bulging, heterogeneous signal intensity within the placenta, dark intraplacental bands on T2-WI, focal defects in the myometrial wall, tenting of the bladder, direct visualization of invasion of pelvic structures by placental tissue

-

34%

Ultrasound:
Se: 94%, Sp: 97%,
PPV: 94%, 97%
MRI:
Se: 100%, Sp: 100%,
PPV: 100%, 100%

Chalubinski et al.14

232

Retrospective study

2D grey-scale, color, and power Doppler ultrasound

placentaaccreta: placental “cones” disrupted the decidual zone with mildly increased vascularization around these cones
placentaincreta: the presence of irregular and diffuse demarcation of the placental-uterine wall interface and thinning of the myometrium that was overlying the placental-myometrial tissue, vascularization and irregularly shaped intraplacental vascular lacunae, resembling the characteristic “moth damage” appearance
placenta percreta was: complete absence of the myometrium, with the placenta extending to the serosa, or beyond, including vascular breakthrough. Massive subplacental hypervascularization, with vessels extending irregularly into the placental-myometrial tissue and numerous large intraplacental lacunae

 

15.10%

Accuracy: 95.3%
Se: 91.4%, Sp: 95.9%,
PPV: 80.0%, NPV: 98.4%

Table 1 Characteristics and results of 8 appraised studies

AUC: Area Under the Curve; Se: Sensitivity; Sp: Specificity; PPV: Positive Predictive Value; NPV: Negative Predictive Value; MRI: Magnetic Resonance Imaging; PI: Pulsatile Index

No

Study

Eligible for analysis

Validity

Result

Applicability

Total
score

 

1

2

3

4 (se)

5 (sp)

6(ppv)

7 (npv)

8

1.

Rac, et al (2014)

184

+

+

+

17%

100%

100%

71%

+

7/8

2.

Aitken et al.11

65

+

+

+

-

-

-

-

-

3/8

3

Naghshineh13 (Ultrasound)
Naghshineh13 (Cell Free placental mRNA)

50

+

+

?

83.3%
91.7%

78.9%
78.9%

56%
57.9%

94%
96.8%

+
-

5/8

4

Kumar et al.16 (Ultrasound)
Kumar et al.16 (MRI)

22

+

+

?

100%
88.9%

92.31
100%

90%
100%

100%
92.86%

+

7/8

5

Bowman17

229

+

+

+

53.5%

88.0%

82.1%

64.8%

+

6/8

6

Cho et al.15

442

+

+

?

-

-

-

-

+

3/8

7

Ibrahim et al.12 (ultrasound)
Ibrahim et al.12 (MRI)

100

+

+

?

94%
100%

97%
100%

94%
10%

97%
100%

+

7/8

8

Chalubinski et al.14

232

+

+

+

91.4%

95.9%

80/0%

98.4%

+

8/8

Table 2 Appraisal table of 8 studies

1: representative patients; 2: reference standard; 3: blind & independent; 4: sensitivity; 5: specificity; 6: positive predictive value; 7: negative predictive value; 8: detail methods to permit replication; US: ultrasound; +: adequate; −: inadequate; ?: unknown, no information given’. Every item was scored based on diagnostic study appraisal questions developed by CEBM (available at: http://www.cebm.net/critical-appraisal/)

The Se, Sp, PPV, and NPV of MRI in predicting placenta accreta derived from 2 studies were respectively 88.89%-100%, 100%, 100%, 92.86%-100%. While Se, Sp, PPV, and NPV of cell-free placental mRNA for placenta accreta prediction were respectively 91.7%, 78.9%, 57.9% and 96.8% using 3.325 (MoM) as the cut-off point. On a study among 184 women with prior cesarean section, Rac et al. developed a prediction index of placenta accreta by using these parameters i.e. the smallest sagittal myometrial thickness, grade of lacunae, presence of bridging vessels, number of cesarean deliveries and placental location as significant contributors. Grade-3 lacuna (many lacuna throughout the placenta and appearing large and bizarre) had the highest OR among all significant factors (OR 10.8, 95%CI 1.4-83). This index had area under the curve of 0.87 (95% confidence interval, 0.80-0.95). Placental accreta index score of more than 8 will be resulted in 96% (81-99) of probability of invasion.

Aitken et al.11 performed a retrospective review on 65 cases of women with invasive placentation diagnosed antenatally with use of ultrasound and/or MRI. MRI had higher prediction rate of abnormal invasive placentation compared to ultrasound (91.9% versus 98.4%). In addition, MRI was better in predicting the stage of invasion of placenta (61.3% versus 38.7% of detection rate versus).11 Ibrahim et al.12 found that ultrasound and MRI had no significant difference in accuracy in diagnosing abnormal placentation (97–100% versus 94–100%). They concluded that MRI had higher accuracy compare to ultrasound in diagnosing myometrial invasion and the type of abnormal placentation (73.5% versus 47%).12

Naghshineh et al.13 proposed cell-free placental mRNA as an acceptable predictor for placenta accreta. The median MoM values of cell-free placental mRNA was significantly higher among the women diagnosed with placenta accrete compared to they who had normal placentation (6.02 ± 1.550 and 2.83 ± 0.648 < 0.001). Respectively, Se, Sp, PPV and NPV of mRNA with using cut-off point of 3.325 were 91.7%, 78.9%, 57.9% and 96.8%. These values were comparable to the accuracy of ultrasound.13

A Retrospective study conducted by Chalubinski et al.14 among 232 patients at risk for placental invasion resulted high overall accuracy of ultrasound in diagnosing placenta accreta. Se, Sp, PPV, and NPV were 91.4% (95% CI 77.6 – 97.0), 95.9% (95% CI 92.2 – 97.9%), 80.0% (95% CI 65.2 – 89.5%), and 98.4% (95% CI 95.5 - 99.5%), respectively.14 Cho et al.15 suggests that the mean PI of uterine artery Doppler velocimetry measurement was significantly reduced in patients with placenta accreta compared to those without accreta (0.51 versus 0.57; = .002).15 The area under the receive operating characteristic curve was 0.77 with the combination of the mean PI and previous cesarean delivery (= .047).

Kumar et al.16 found MRI were correctly diagnosed placenta accreta in 8 out of 9 subjects with histological-proven placenta accreta. While ultrasound predict correctly all of patients with placenta accreta. Dark intraplacental band had the highest diagnostic accuracy among all of MRI sign for placenta accreta (accuracy, Se, Sp, PPV, and NPV were respectively 95.45%, 88,89%, 100%, 100%, and 92.86%). While turubulance in the lacuna had the highest diagnostic accuracy compared to other ultrasound signs (accuracy, Se, Sp, PPV, and NPV were respectively 95.45%, 100%, 92.31%, 90%, and 100%). Loss of chemical shift artifacts (‘‘India-ink line’’) at the bladder–myometrial interface, was an accurate sign for detection of vesical wall invasion (accuracy, Se, Sp, PPV, and NPV were respectively 95.45%, 83.3%, 100%, 100%, and 94.12%).16

In 2014, Bowman et al.20 concluded that ultrasound was not as accurate as previously described. The Se, Sp, PPV, NPV, and accuracy were respectively 53.5%, 88.0%, 82.1%, 64.8%, and 64.8%. Loss of retroplacental clear space (OR, 2.4; 95% CI, 1.1-4.9), placental lacuna (OR, 1.5; 95% CI, 1.-1.6), and abnormalities on color Doppler (OR, 2.1; 95% CI, 1.8-2.4) were correlated significantly with placenta accreta (OR, 2.4; 95% CI,1.1-4.9) in their multivariate analysis.17 On our appraisal analysis, study conducted by Chalbunsiki et al.14 had the highest appraisal score (8/8). Study conducted by Ibrahim et al.12 Kumar et al.1 and Rac et al. fullfilled 7 out of 8 criteria’s on our appraisal sheet. 2 studies were published without mention any value of Se, Sp, PPV, and PPV.

Discussion

The overall rate of placenta accreta found on these studies were ranging from 8.4% to 31.8. This wide range of placenta accrete incidence could be affected by the population of study. In some studies, the study population were women at risk of placenta accrete or they who were identified as having signs of invasive placentation using ultrasound or MRI.11 While in others, data were collected from routine ultrasound screening.15 The value of ultrasound in predicting placenta accreta resulting from 8 studies were not as accurate as described in previous studies.18 Sensitivity of ultrasound for predicting placenta accrete below 70% were found in 2 studies. It was contradictory with a systematic meta-analysis that published high accuracy of ultrasound in predicting placenta accrete.19 Bowman et al.20 raised contrary result when published a low sensitivity of ultrasound for placenta accrete.20 In addition ultrasound found to have significant interobserver variability for the diagnosis of placenta accrete.17

From the appraisal of the studies we found MRI as useful and sensitive modalities for diagnosing placenta accreta. It had comparable diagnostic accuracy compared to ultrasound. A number of studies stated that it was better in predicting the stage of invasion of placenta,11 and the type of abnormal placentation.12 It was supported by a result of meta-analysis of 18 studies involving 1010 women underwent MRI examination conducted by D’Antonio. Dark intraplacental bands on T2 weighted sequences and focal interruption of the myometrium resulted in the best sensitivity.19

Free-placental mRNA could become a promising predictor for diagnosing placenta accreta due to its unbiased measurement profile. Ultrasound is highlighted as an operator-dependent examination ultrasound in predicting placenta accrete.20 Uteroplacental transfer of cell free placental mRNA molecule resulted from thin deciduas of placenta accreta will be possibly resulted in increased plasma level of cell free placental mRNA.10 Plasma cell-free placental mRNA may increase the accuracy of ultrasound in predicting placental invasion in women at risk for placenta accrete.10 Study conducted by Chalubinski et al.14 had the highest appraisal score due to its well-defined methods and high accuracy of ultrasound revealed from their study. Kumar et al.16 and Ibrahim et al.12 did not mention the blinding and independent methods in their studies.

Conclusion

Ultrasound has a wide range of diagnostic accuracy in predicting ultrasound, it could be explained by its significant interobserver variability. MRI had better diagnostic accuracy for predicting the stage of invasion of placenta. Free-placental mRNA is an objective and promising predictor for diagnosing placenta accreta. Combination of these examination could increased the accuracy of the diagnostics.

Acknowledgments

None.

Conflicts of interest

None.

References

  1. Solheim KN, Esakoff TF, Little SE, et al. The effect of cesarean delivery rates on the future incidence of placenta previa, placenta accreta, and maternal mortality. J Matern Fetal Neonatal Med. 2011;24(11):1341–1346.
  2. Spiliopoulos M, Kareti A, Jain NJ, et al. Risk of peripartum hysterectomy by mode of delivery and prior obstetric history: data from a population–based study. Arch Gynecol Obstet. 2010;283(6):1261–1268.
  3. Belfort MA. Placenta accreta. Am J Obstet Gynecol. 2010;203(5):430–439.
  4. Satija B, Kumar S, Wadhwa L, et al. Utility of ultrasound and magnetic resonance imaging in prenatal diagnosis of placenta accreta: A prospective study. Indian J Radiol Imaging. 2015;25(4):464–470.
  5. OʼBrien JM. Placenta Previa, Placenta Accreta, and Vasa Previa. Obstet Gynecol. 2007;109(1):203–204.
  6. Esakoff TF, Sparks TN, Kaimal AJ, et al. Diagnosis and morbidity of placenta accreta. Ultrasound Obstet Gynecol. 2011;37(3):324–327.
  7. Tikkanen M, Paavonen J, Loukovaara M, et al. Antenatal diagnosis of placenta accreta leads to reduced blood loss. Acta Obstet Gynecol Scand. 2011;90(10):1140–1146.
  8. Angstmann T, Gard G, Harrington T, et al. Surgical management of placenta accreta: a cohort series and suggested approach. Am J Obstet Gynecol. 2010;202(1):38.e1–38.e9.
  9. Dannheim K, Shainker SA, Hecht JL. Hysterectomy for placenta accreta; methods for gross and microscopic pathology examination. Arch Gynecol Obstet. 2016;293(5):951–958.
  10. Behery El MM, Rasha L E, Alfy El Y. Cell–free placental mRNA in maternal plasma to predict placental invasion in patients with placenta accreta. Int J Gynecol Obstet. 2010;109(1):30–33.
  11. Aitken K, Allen L, Pantazi S, et al. MRI Significantly Improves Disease Staging to Direct Surgical Planning for Abnormal Invasive Placentation: A Single Centre Experience. J Obstet Gynaecol Can. 2016;38(3):246.e1–251.e1.
  12. Algebally AM, Yousef RR, Badr SS, et al. The Value of Ultrasound and Magnetic Resonance Imaging in Diagnostics and Prediction of Morbidity in Cases of Placenta Previa with Abnormal Placentation. Pol J Radiol. 2014;79:409–416.
  13. Khorvash E, Kamali S, Naghshineh E. A comparison of cell–free placental messenger ribonucleic acid and color Doppler ultrasound for the prediction of placental invasion in patients with placenta accreta. Adv Biomed Res. 2015;4(1):31.
  14. Chalubinski KM, Pils S, Klein K, et al. Prenatal sonography can predict degree of placental invasion. Ultrasound Obstet Gynecol. 2013;42(5):518–524.
  15. Cho HY, Hwang HS, Jung I, et al. Diagnosis of Placenta Accreta by Uterine Artery Doppler Velocimetry in Patients With Placenta Previa. J Ultrasound Med. 2015;34(9):1571–1575.
  16. Kumar I, Verma A, Ojha R, et al. Invasive placental disorders: a prospective US and MRI comparative analysis. Acta Radiol. 2016;pii:0284185116638567.
  17. Bowman ZS, Eller AG, Kennedy AM, et al. Accuracy of ultrasound for the prediction of placenta accreta. Am J Obstet Gynecol. 2014;211(2):177.e1–177.e7.
  18. Woodring TC, Klauser CK, Bofill JA, et al. Prediction of placenta accreta by ultrasonography and color doppler imaging. J Matern Fetal Neonatal Med. 2010;24(1):118–121.
  19. D'Antonio F, Iacovella C, Palacios–Jaraquemada J, et al. Prenatal identification of invasive placentation using magnetic resonance imaging: systematic review and meta–analysis. Ultrasound Obstet Gynecol. 2014;44(1):8–16.
  20. Bowman ZS, Eller AG, Kennedy AM, et al. Interobserver Variability of Sonography for Prediction of Placenta Accreta. J Ultrasound Med. 2014;33(12):2153–2158.
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