Literature DB >> 32420131

Prognosticators of intravoxel incoherent motion (IVIM) MRI for adverse maternal and neonatal clinical outcomes in patients with placenta accreta spectrum disorders.

Tao Lu1, Bin Song2, Hong Pu1, Kui-De Li1, Meng-Wei Huang3, Jie Mei3, Shao-Yu Wang4.   

Abstract

BACKGROUND: The incidence of placenta accreta spectrum (PAS) disorders has increased rapidly in recent years and is associated with several maternal and neonatal complications. Intravoxel incoherent motion (IVIM) imaging is a method which can assess placental perfusion quantitatively. Therefore, the first aim of this study was to investigate whether patients with adverse maternal and neonatal outcomes of PAS disorders differed in the parameters from IVIM. A second aim was to identify these parameters for adverse peripartum outcome in gravid patients at risk for PAS.
METHODS: The subject group consisted of patients with placenta previa, in which 75 patients had PAS disorders and 24 patients did not have PAS disorders between 28+0 and 39+6 weeks, respectively. All women underwent magnetic resonance imaging (MRI) examination including an IVIM sequence with 8 b values on a 1.5T scanner. The perfusion fraction (f), pseudodiffusion coefficient (D*), and standard diffusion coefficient (D) were calculated. All medical records were received postpartum. The final degree of placental invasion was established either by placental villi alterations from a placental sample or from maternity records of the women's general practitioners.
RESULTS: Women with PAS disorders had a higher perfusion fraction (34.12%) than women without the disease (29.39%) (P<0.05). The perfusion fraction was 36.86% in women with massive blood loss and was 35.15% in women requiring transfusion, which was higher than women without massive blood loss and not requiring transfusion (P<0.05). The D value was 1.65×10-3 mm2/s in women with low birth weight, which was lower than that in women with appropriate birth weight (1.70×10-3 mm2/s) (P<0.05).
CONCLUSIONS: Patients with PAS disorders differed in placental perfusion fraction from women without PAS disorders. The f and D value may be used to recognize patients with certain adverse clinical outcomes. 2020 Translational Andrology and Urology. All rights reserved.

Entities:  

Keywords:  Placenta accreta spectrum disorders (PAS disorders); clinical outcome; intravoxel incoherent motion (IVIM); magnetic resonance imaging (MRI); placenta

Year:  2020        PMID: 32420131      PMCID: PMC7214992          DOI: 10.21037/tau.2019.12.27

Source DB:  PubMed          Journal:  Transl Androl Urol        ISSN: 2223-4683


Introduction

The term placenta accreta spectrum (PAS) is the preferred umbrella term to define all grades of abnormal placentation, which include placenta accreta, increta, and percreta. The most common risk factors for PAS are placenta previa and previous cesarean delivery (CD), with placenta previa being a significant independent risk factor for PAS. The UK national case-control study reported that the incidence of PAS was 577 per 10,000 births in women presenting with placenta previa and a prior CD (1). The combination of both placenta previa and PAS can result in high maternal morbidity and mortality at the time of delivery (2). The most severe complication associated with PAS is hemorrhage, which can lead to multisystem organ failure, disseminated intravascular coagulation, hysterectomy, and, if the placenta does not detach completely from the uterus after delivery, death. The associated fetal and maternal mortality rate has been forecasted to reach 9–19% and 6–7% respectively (3,4). More than half of women receive transfusions of blood products, and a third have incidental cystotomy in association with surgical management (5,6). Studies also found an increased incidence of preterm delivery and of small-for-gestation age infants in pregnancies with PAS (7). Multiple retrospective cohort studies of PAS disorders have revealed reduced maternal morbidity when cared for by multidisciplinary teams with expertise of this condition (8-11). Therefore, the antenatal diagnosis of PAS disorders is extremely important. Ultrasonography is a first line imaging modality for the detection of PAS. Magnetic resonance imaging (MRI) has been used increasingly in recent years and is preferred in the evaluation of a posterior placenta or in the detection of parametrial invasion. A recent systematic review reported that the sensitivity and specificity of MRI in diagnosing PAS varies between 75–100% and 65–100% respectively, but most of the studies analyzed were small sample size (12) and the diagnostic performance was usually high only when conducted by expert hands. Recent population studies have shown that, irrespective of the imaging modalities used, PAS disorders remain undiagnosed before delivery in half to two thirds of the cases (1,13,14). Intravoxel incoherent motion (IVIM) analysis is suitable for highly vascularized organs, it can assess placental perfusion quantitatively even without the use of contrast agents, and it also appears to be useful for evaluating placental microcirculation. From our previous study, we found placenta accreta and increta patients differ in placental perfusion fraction from women without the disease (15). However, we did not explore the association between IVIM parameters and adverse clinical outcomes of PAS disorders. Secondly, from Bourgioti’s research, at least three MRI signs of PAS were strongly associated with complicated delivery and the presence of six or more MRI signs with major intraoperative complications (16). Despite the findings, there is a lack of clarity in this area, as the MRI features indicating PAS are subjective and the recognition of these features depends on the experience of the readers. The aim of this study was therefore to further investigate any association between IVIM parameters of the placenta and adverse maternal and neonatal clinical outcomes, in order to find a more objective parameter in evaluating the placenta in patients with PAS disorders. We hope this research can further aid in the effectiveness of individualized treatment for the patients with this complication.

Methods

The ethical review aboard approved the study, and informed consent was obtained from each woman participating in the study. Between January 2016 and October 2018, 206 gravid patients in the third trimester of pregnancy were referred for prenatal MRI, who were dedicated to placental evaluation; all patients were at risk for underlying PAS disorders due to the presence of placenta previa (n=187), with (n=137) or without (n=50) suspicious imaging findings on routine second trimester sonographic examination. Women with chronic hypertensions, pre-existing renal disease, and diabetes mellitus (n=11) were excluded. Women with inadequate surgical records (n=75) or severe artifacts (n=2) were also excluded. Ninety-nine patients completed the MR examination and formed our study group. The specific tomography of placental invasion was established in the operating room according to clinical and anatomical criteria. For patients who had total or subtotal hysterectomy, histologic criteria for PAS were based on chorionic villi attachment to the myometrium. For patients who did not require hysterectomy, the final diagnostic criteria of placental invasion used in this study included the following: during CD, the placenta adhered firmly to the endometrium without invasion and showed non-self-controlled bleeding when detached; the placenta was deeply implanted in the myometrium and required curettage to remove invasive tissue; and the placenta villi penetrated through the uterine serosa or the surrounding anatomical structures.

Maternal and neonatal peripartum course

Adverse maternal outcomes mainly included massive blood loss, hysterectomy, bladder reconstitution, and prolonged surgical times or ICU admission, and adverse neonatal outcomes included prematurity, low birth weight, and abnormal APGAR score. Estimated blood loss ≥2,000 mL during surgery was defined as massive blood loss, birth at gestational week ≤36 was defined as prematurity, birth weight <2,500 g was defined as low birth weight, and APGAR score <7 at 5 min after birth was considered abnormal. Data concerning the onset of delivery (scheduled or acute), uterine preservation or hysterectomy, transfusion requirement, and admission to the intensive care unit were also collected. All obstetricians participating in the study agreed on the definitions of the above clinical terms, which were based on published data (16,17).

Imaging techniques

MR imaging was performed on a 1.5 T scanner (Magnetom Aera, Siemens, Erlangen, Germany) using the integrated whole-body transmit-receive coil with six channels. The MRI protocol included examination from the diaphragm to the symphysis pubis using (I) axial, coronal, and sagittal half-fourier acquisition single-shot turbo spin echo (HASTE) under the following parameters: field of view (FOV) 420×80 mm, 5 mm thick section, 20% gap, matrix 272×320, scan duration time 50 s; (II) axial, coronal and sagittal true fast imaging in steady-state precession (TRUFISP) with the following parameters: an FOV of 420×80 mm, 5 mm thick section, 30% gap, matrix 234×384, and a scan duration of 48 s; (III) 3D-volumetric interpolated breath-hold examination (3D-VIBE) with the following parameters: FOV 400 mm, 5 mm thick section, 20% gap, matrix 180×320, scan duration 8 s; (IV) an IVIM sequence with 8 different b-values (0, 50, 100, 150, 200, 250, 500, 800 s/mm2) was obtained perpendicular to the placenta. Forty slices, each of 5.5 mm thickness were collected. The matrix was 192×120, the FOV was 390×304 mm, and the NEX was 1. Acquisition time for this sequence was typically 8 minutes and 37 seconds.

Region of interest (ROI)

Evaluation of the IVIM sequence was performed with research software (MITK diffusion). Two independent blinded observers, with 3 and 10 years of experience in obstetric imaging, carried out the measurement of IVIM. In patients without PAS disorders, ROIs were placed in the middle part of the placenta including as large an area of the placenta as possible, but excluding areas with infarcts, hemorrhage, or other artifactual signal loss. The same ROIs were drawn on the slice above and below the middle slice. In patients with PAS disorders, the ROIs were placed in the regions of placental adhesion according to the maternity record after surgery, and the same ROIs were drawn on the slices above and below the middle slice. To avoid the flow artifacts in large vessels, ROIs should be located at least 2 cm from the insertion of the umbilical cord. Values of D, D*, and f were then calculated by averaging the total of the 3 ROIs.

Statistical analysis

Inter-rater reliability of the f, D, and D* values between the 2 radiologists was assessed by the intra-class correlation coefficient. The normal distribution test was conducted in the variables. Physical and sociodemographic factors for PAS disorders were investigated by using the chi-square, student’s t-test, or the Mann-Whitney u test to compare patients with PAS disorders to those without. The IVIM parameters were compared using Mann-Whitney u test. The IVIM parameters that could predict adverse maternal and neonatal events during delivery were calculated with the use of receiver operating characteristic curve analysis, and sensitivity and specificity values were determined for each of the optimal cutoffs. The correlation between IVIM parameters and the adverse maternal and neonatal events were evaluated by calculating Spearman’s correlation coefficient (ρ). P values <0.05 were considered statistically significant. All analyses were performed using IBM SPSS statistics 20.

Results

A total of 99 pregnant women with satisfactory raw images remained in the analysis (). Intra-class correlation coefficient between 2 radiologists of the f, D, and D* values were 0.892 (95% CI: 0.839–0.928), 0.775 (95% CI: 0.665–0.849), and 0.541 (95% CI: 0.317–0.629) respectively. The mean maternal age was 31.92±4.31 years (range, 22–41 years), and the mean gestational age at examination was 34 [4] weeks (range, 28–39 weeks). All gravid patients had placenta previa (complete, n=70; marginal, n=22; partial, n=4; low lying, n=3).
Figure 1

Flowchart of the study design. PAS, placenta accreta spectrum; IVIM, Intravoxel incoherent motion.

Flowchart of the study design. PAS, placenta accreta spectrum; IVIM, Intravoxel incoherent motion. All medical records were received postpartum, 75 patients were diagnosed as PAS disorders, and 24 patients were diagnosed as without PAS disorders. The methods of delivery included 50 cases of cesarean section, 45 cases of prophylactic distal abdominal aorta balloon occlusion and cesarean section, 2 cases of natural birth, 2 cases of total hysterectomy, and 1 case of partial hysterectomy. presents the maternal characteristics of the study participants. The number of previous cesarean sections was greater in patients with PAS disorders than that in patients without the disease (P<0.05).
Table 1

Physical and sociodemographic features and adverse maternal and neonatal clinical outcomes of patients studied

VariablePatients without PAS disordersPatients with PAS disordersP value
Number24 (24.24%)75 (75.76%)
Age (years)31.88±3.8131.93±4.480.147
   Less than 3520 (20.20%)51 (51.52%)
   35 or older4 (4.04%)24 (24.24%)
Gestational age at examination (weeks)33.5 [4]34 [4]0.825
Number of previous cesarean sections
   011 (11.11%)15 (15.15%)
   112 (12.12%)46 (46.46%)
   2 or more1 (1.01%)14 (14.14%)0.021
Previous uterine dilation and curettage
   No2 (2.02%)16 (16.16%)
   Yes22 (22.22%)59 (59.60%)0.226
Blood loss (mL)500 [200]800 [600]0.001
Transfusion0.003
   No21 (21.21%)40 (40.40%)
   Yes3 (3.03%)35 (35.35%)
Gestational age at the time of delivery (weeks)37 [2]37 [1]0.241
Birth weight of the neonates (g)2,767.50±458.912,756.67±429.080.991
APGAR score, 5 min10 [0]10 [0]0.917
Admission to ICU0.002
   No23 (23.23%)55 (55.56%)
   Yes1 (1.0%)20 (20.20%)

PAS, placenta accreta spectrum.

PAS, placenta accreta spectrum. In 97 of 99 patients, delivery was scheduled. Mean estimated blood loss was 700 [500] mL. Blood loss ≥2,000 mL was recorded in 13/99 patients. In total, 21 of 99 women were admitted to the ICU after delivery for careful monitoring (median =3 days, QR =2 days). In total 38 of 99 patients received transfusion (median =0, QR =400 mL). No maternal death was recorded. Preterm delivery was recorded in 34 of 99 cases, 22 of 99 newborns had low birth weight (mean =2,758.84 g, SD =434.13 g), and 1 patient had a poor APGAR score (<7) 5 min after birth (). When compared with patients with PAS disorders, f (29.39%) and D* (20.37×10−3 mm2/s) values were significantly lower in patients without the disease (P<0.05), while D values showed no statistical significance between the 2 groups (P>0.05). A comparison of IVIM parameters and adverse maternal and neonatal clinical outcomes between patients with PAS and patients without it is shown in . The blood loss during delivery in patients with PAS disorders was greater (P<0.05), and more patients with PAS disorders required transfusion and were admitted to the ICU (P<0.05). Gestational week at delivery, neonatal birth weight and 5 min, and APGAR score showed no statistical difference between the 2 groups (P>0.05).
Table 2

Association of IVIM parameters with adverse clinical outcomes (n=99)

VariableN (%)f (%)D (10−3 mm2/s)D* (10−3 mm2/s)
PAS disorders
   No24 (24.24)29.39 (5.59)1.68 (0.13)20.37 (10.22)
   Yes75 (75.76)34.12 (9.8)1.7 (0.13)24.84 (8.94)
   P value0.0190.9150.044
Massive blood loss
   No86 (86.87)31.98 (10.38)1.70 (0.13)22.61 (9.69)
   Yes13 (13.13)36.86 (8.64)1.67 (0.15)28.37 (9.58)
   P value0.0250.2340.063
Transfusion
   No61 (61.62)31.35 (9.57)1.69 (0.13)22.61 (7.85)
   Yes38 (38.38)35.15 (10.53)1.70 (0.12)27.82 (10.43)
   P value0.0090.7150.021
Need of ICU stay
   No78 (78.79)32.08 (9.32)1.69 (0.12)25.21 (12.67)
   Yes21 (21.21)34.41 (11.95)1.69 (0.17)26.33 (11.18)
   P value0.3870.6040.962
Preterm delivery
   No65 (65.66)34.40 (9.6)1.70 (0.13)23.35 (7.4)
   Yes34 (34.34)31.17 (9.43)1.69 (0.13)24.84 (13.41)
   P value0.0580.7400.756
Low birth weight
   No77 (77.78)33.62 (10.08)1.70 (0.13)24.10 (9.63)
   Yes22 (22.22)29.99 (7.91)1.65 (0.13)21.86 (13.41)
   P value0.1110.0130.622

IVIM, intravoxel incoherent motion; PAS, placenta accreta spectrum.

IVIM, intravoxel incoherent motion; PAS, placenta accreta spectrum.

Association of IVIM parameters with adverse maternal outcome

Patients with massive blood loss and patients who required transfusion had a higher f value (36.86% and 35.15% respectively) than patients without the adverse maternal outcome. However, D and D* values did not show statistical difference between the 2 groups (P>0.05) (). The optimal cutoff for predicting massive blood loss was the f value (32.37%) with AUC =0.647 (95% CI: 0.56–0.82, P=0.037), a sensitivity of 79%, and a specificity of 54% (). The optimal cutoff for predicting transfusion requirement was the f value (31.97%) with AUC =0.657 (95% CI: 0.50–0.72, P=0.009), a sensitivity of 71%, and a specificity 56% ().
Figure 2

ROC curve of the f value for predicting massive blood loss.

Figure 3

ROC curve of the f value for predicting requirement of transfusion.

ROC curve of the f value for predicting massive blood loss. ROC curve of the f value for predicting requirement of transfusion. None of the IVIM parameters showed statistical difference in patients with the need for ICU stays.

Association of IVIM parameters with adverse neonatal outcomes

Patients with low birth weight had lower D value (1.65×10−3 mm2/s) than patients without it, while f and D* values did not show statistical difference between the 2 groups. None of the IVIM parameters showed statistical difference in patients with and without preterm delivery. The optimal cutoff for predicting low birth weight was the D value (1.70×10−3 mm2/s) with AUC =0.672 (95% CI: 0.58–0.80, P=0.013), a sensitivity of 74%, and a specificity of 53% ().
Figure 4

ROC curve of the D value for predicting low birth weight.

ROC curve of the D value for predicting low birth weight. A positive correlation between D value and birth weight was also found (ρ=0.23, P=0.025).

Discussion

The incidence of PAS has increased 10 fold in the past 50 years. The rapid increase in PAS can be directly linked to the steady increase in global CD rates. Additionally, more than 90% of women diagnosed with PAS also have a placenta previa. Consequently, our study mainly included patients with placenta previa. When placenta previa and CD are present, the risk of PAS is even greater. In our study, 60 (60.60%) patients with PAS disorders had previous cesarean deliveries, which was in accordance with the previous reports. PAS is often associated with massive blood loss requiring blood transfusion, and other clinical complications such as injury to surrounding organs, admission to ICU, and potential fetal compromise. In our study, patients with PAS also had greater blood loss and required more blood transfusion during delivery, and the number of patients admitted to ICU was also greater in patients with PAS. Chantraine et al. (18) noted vessels were more heterogeneous in size and less uniformly distributed throughout the placenta bed in placenta increta; larger and smaller vessels were also identified from the placental-myometrium junction. Millischer’s contrast MRI findings also confirmed the hypervascular nature of the placenta bed in abnormally invasive placenta (19). These changes resulted in violent hemorrhage when the adherent placenta was removed, as these arteries conduct a far large volume of blood than the spiral arteries of smaller diameter. In our study, f value was significantly higher in patients with PAS disorders. This accounts for the particular vascular behavior of the invasive placenta, and explains the greater blood loss and more amount of transfusion that occurred in patients with PAS disorders. When associating IVIM parameters with adverse maternal outcomes, we found the f value was significantly higher in patients with massive blood loss and in patients requiring transfusion of blood product. For placental imaging, f is likely to represent the moving blood volume fraction compared with the total voxel volume (20,21), and a higher f value represents a higher moving blood volume fraction. From our study, patients who had higher f value were more likely to suffer from severe hemorrhage during surgery and were also more likely to need transfusion due to the more hypervascular nature of the placental bed in these patients. For a multidisciplinary team approach, not only should we recognize patients with PAS disorder prenatally, we should also indicate whether there is a strong indication of massive blood loss, so that preparation of blood products and clotting factors and individualized delivery planning can be provided to achieve good postoperative outcomes and less maternal morbidity. For this consideration, we further demonstrated the cutoff of the f value in predicting massive blood loss was 32.37%, while it was 31.97% for deciding whether transfusion was required during delivery. The management can be more tailored if we are informed of potential massive hemorrhage in a timely manner and can then order blood for possible transfusion for a specific patient. The difference of IVIM parameters in patients with admission to the ICU was not detected in our study. This perhaps infers that admission to ICU is usually associated with acute onset of delivery, peripartum complications, and the surgical strategies applied, but is less associated with placental perfusion. When associating IVIM parameters with adverse neonatal outcomes, we found the D value was significantly lower in patients with low birth weight than that in patients with normal birth weight neonates. The diffusion coefficient usually reflects cellular and interstitial characteristics of the tissue. The decrease in D in the placenta reflects the decrease of passive Brownian motion of water molecules in the interstitial spaces, resulting in the decreased transplacental exchanges. The placenta intermediates the transfer of nutrients between the mother and fetus, and thus the decreased levels of nutrients transporters may potentially influence the growth of the fetus. We also found a low correlation between the D value and the birth weight of the neonates. As a result, in patients with PAS disorders, it is possible that a lower D value represents a placental insufficiency in maternal-fetal exchanges. Therefore, we further identified that the best cutoff of D value to predict low birth weight was 1.70×10−3 mm2/s. The identification of patients with higher potential for low birth weight neonates can facilitate obstetrical management to include the administration of corticosteroid to the mother to enhance fetal pulmonary lung maturity. This can also offer information to neonatologists for the purpose of added care to neonates and hopefully, a decrease in neonatal morbidity. Secondly, no significant association of any IVIM parameters with preterm delivery was found; this is perhaps because most our patients had planned preterm deliveries. Current studies about PAS have mainly focused on morphological changes of the placenta and their correlations with adverse clinical events (16,22). In China, although MRI is widely employed in obstetric-related imaging diagnosis, the prenatal diagnosis of PAS disorders remains subjective and requires expertise with the accuracy depending on the reader’s experience, which is itself limited by the lack of both radiologists specialized in obstetric imaging and training programs for these radiologists. Consequently, there is a need for the objective evaluation of the PAS disorders, and for the prediction of the adverse clinical outcomes. With the use of IVIM, we can offer more objective information about the placental microcirculation in the multidisciplinary team discussion. We may indicate patients with possibility of massive blood loss and need of transfusion with the help of f value, and indicate patients with the possibility of having low birth weight with the use of D value. The results from our study were promising, but we still have to acknowledge several limitations of this study. First, we found that f value was significantly higher in patients with PAS disorders, in patients with massive blood loss, and also in patients requiring transfusion. We also found D value was significantly lower in patients with low birth weight. However, when we tried to use f and D to predict adverse maternal and neonatal outcome, we found the diagnostic sensitivity and specificity of f and D were not high from our study. We assumed the biexponential fitting of IVIM was very sensitive to artifacts including respiratory motion, bowel movement, field inhomogeneity, magnetic susceptibility artifacts etc. Therefore, the parameters of IVIM may be influenced in this regard. Faster techniques and techniques less prone to signal loss from differences in magnetic susceptibility at air-tissue interfaces may help reduce this problem (23). Second, this is a retrospective study, not a prospective one. We mainly measured the areas of placenta invasion according to the description of the maternity record instead of measurement of the entire placenta. From our previous experience, IVIM parameters did not show statistical difference between the site where placenta separated from the uterine wall normally in the patients with placenta accreta and the regions of placenta in patients without placenta accreta (15). Chen et al. (24) also argued that future studies can focus only on abnormal high risk areas adjacent to the cesarean scar instead of the entire placenta. This may produce more predictive results, as more homogeneous regions adjacent to abnormal areas may skew the data. Third, our study population mainly included patients who already had a high risk of PAS disorders after ultrasonography, so the results may be biased as MRI is not a method used for screening. Fourth, the number of patients in this study is small, so the power of statistical analysis is possibly limited. However, our study can serve as a preliminary finding for further studies with larger sample sizes. In conclusion, our study showed statistically significant differences between patients with PAS disorders and patients without the disease for the f value, which may be due to the hypervascular nature of the placenta in patients with PAS. Our study also demonstrated that f and D values were associated with certain adverse maternal and neonatal outcomes, which could be used for better obstetrical management of these patients.
  23 in total

1.  Perinatal outcome of pregnancies complicated by placenta accreta.

Authors:  Yuval Gielchinsky; David Mankuta; Nathan Rojansky; Neri Laufer; Ilan Gielchinsky; Yossef Ezra
Journal:  Obstet Gynecol       Date:  2004-09       Impact factor: 7.661

2.  Abnormally invasive placenta-prevalence, risk factors and antenatal suspicion: results from a large population-based pregnancy cohort study in the Nordic countries.

Authors:  L Thurn; P G Lindqvist; M Jakobsson; L B Colmorn; K Klungsoyr; R I Bjarnadóttir; A M Tapper; P E Børdahl; K Gottvall; K B Petersen; L Krebs; M Gissler; J Langhoff-Roos; K Källen
Journal:  BJOG       Date:  2015-07-29       Impact factor: 6.531

3.  Dynamic contrast enhanced MRI of the placenta: A tool for prenatal diagnosis of placenta accreta?

Authors:  A E Millischer; B Deloison; S Silvera; Y Ville; N Boddaert; D Balvay; N Siauve; C A Cuenod; V Tsatsaris; L Sentilhes; L J Salomon
Journal:  Placenta       Date:  2017-03-10       Impact factor: 3.481

4.  Multiple repeat cesareans and the threat of placenta accreta: incidence, diagnosis, management.

Authors:  Andrew D Hull; Thomas R Moore
Journal:  Clin Perinatol       Date:  2011-04-13       Impact factor: 3.430

5.  Use of intravoxel incoherent motion MR imaging to assess placental perfusion in patients with placental adhesion disorder on their third trimester.

Authors:  Tao Lu; Hong Pu; Wei Cui; Jie Mei; Meng-Wei Huang; Shao-Yu Wang
Journal:  Clin Imaging       Date:  2019-03-30       Impact factor: 1.605

6.  Morbidly adherent placenta treatments and outcomes.

Authors:  Jennifer L Bailit; William A Grobman; Madeline Murguia Rice; Uma M Reddy; Ronald J Wapner; Michael W Varner; Kenneth J Leveno; Jay D Iams; Alan T N Tita; George Saade; Dwight J Rouse; Sean C Blackwell
Journal:  Obstet Gynecol       Date:  2015-03       Impact factor: 7.661

7.  Maternal morbidity in cases of placenta accreta managed by a multidisciplinary care team compared with standard obstetric care.

Authors:  Alexandra G Eller; Michele A Bennett; Margarita Sharshiner; Carol Masheter; Andrew P Soisson; Mark Dodson; Robert M Silver
Journal:  Obstet Gynecol       Date:  2011-02       Impact factor: 7.661

8.  Texture analysis of placental MRI: can it aid in the prenatal diagnosis of placenta accreta spectrum?

Authors:  Eric Chen; Winnie A Mar; Jeanne M Horowitz; Amanda Allen; Priyanka Jha; Donald R Cantrell; Kejia Cai
Journal:  Abdom Radiol (NY)       Date:  2019-09

9.  Maternal morbidity in patients with morbidly adherent placenta treated with and without a standardized multidisciplinary approach.

Authors:  Alireza A Shamshirsaz; Karin A Fox; Bahram Salmanian; Concepcion R Diaz-Arrastia; Wesley Lee; B Wycke Baker; Jerasimos Ballas; Qian Chen; Teelkien R Van Veen; Pouya Javadian; Haleh Sangi-Haghpeykar; Nicholas Zacharias; Stephen Welty; Christopher I Cassady; Amirhossein Moaddab; Edwina J Popek; Shiu-ki Rocky Hui; Jun Teruya; Venkata Bandi; Michael Coburn; Thomas Cunningham; Stephanie R Martin; Michael A Belfort
Journal:  Am J Obstet Gynecol       Date:  2014-08-27       Impact factor: 8.661

10.  Optimal management strategies for placenta accreta.

Authors:  A G Eller; T F Porter; P Soisson; R M Silver
Journal:  BJOG       Date:  2009-02-04       Impact factor: 6.531

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1.  Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders.

Authors:  Tao Lu; Yishuang Wang; Aiwen Guo; Wei Cui; Yazheng Chen; Shaoyu Wang; Guotai Wang
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-22       Impact factor: 3.105

2.  Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging.

Authors:  Yuwei Bao; Ying Pang; Ziyan Sun; Qian Li; Dazhong Tang; Liming Xia
Journal:  Eur Radiol       Date:  2020-08-30       Impact factor: 5.315

3.  Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of the whole placenta: a pilot study of volumetric analysis.

Authors:  Tao Lu; Yishuang Wang; Aiwen Guo; Cui Wei; Yazheng Chen; Shaoyu Wang; Bin Song
Journal:  Ann Transl Med       Date:  2022-03
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