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MRI-Derived Uterine Sector 2 Placental Area and Cervical Area Are Associated with Massive Hemorrhage in Complete Placenta Previa with Placenta Accreta Spectrum
Authors Feng G, Yang Z
, Yang P
, Yue Y
Received 19 November 2025
Accepted for publication 20 March 2026
Published 27 April 2026 Volume 2026:18 582651
DOI https://doi.org/10.2147/IJWH.S582651
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Vinay Kumar
Guannan Feng, Zhiyi Yang, Peiran Yang, Yongfei Yue
Department of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, People’s Republic of China
Correspondence: Yongfei Yue, Email [email protected]
Background: Placenta accreta spectrum (PAS) is an obstetric complication related to severe maternal morbidity and mortality, magnetic resonance imaging (MRI) can predict the bleeding risk and the adverse outcomes of the maternal caesarean section in PAS patients. The aim of the current study was to determine relationship of placenta area in sector 2 (S2) and cervical area measured by MRI with massive hemorrhage (MH) in complete placenta previa patients with PAS.
Methods: One hundred and thirty-eight patients were diagnosed as PAS from January 2016 to December 2023 in the retrospective study. The patients were divided into two groups according to the estimated blood loss volume: MH group (estimated blood loss > 2000 mL) and non-MH group (estimated blood loss ≤ 2000 mL). After adjusting for PAS grade and clinical variables, the correlation between placenta area in S2, cervical area and MH were evaluated with multivariate analysis. The evaluation capabilities of indicators were assessed using receiver operating characteristic (ROC) analysis.
Results: The placenta area in S2 of the MH group was significantly higher than that of the group without MH (P< 0.001), on the contrary, cervical area was significantly lower in PAS patients with MH than that of the group without MH (P< 0.001). After adjusting for the type of PAS, a placenta area in S2 ≥ 45 cm2 (OR, 4.805; 95% CI, 2.776– 8.794; P< 0.05) and a cervical area < 4.0 cm2 (OR, 4.015; 95% CI, 1.905– 7.862; P< 0.05) were independently associated with an increased risk of MH. A positive association was found between the placental area and the amount of blood loss (r=0.748), and negative linear was found between the cervical area and the amount of blood loss (r=− 0.682), between cervical area and placenta area (r=− 0.575). Combined with placental area in S2 and cervical area, the sensitivity, specificity, and the area under the curve (AUC) for the predictive MH were 89.237%, 91.548%, and 0.910 (95% CI 0.858 ~ 0.963), respectively.
Conclusion: The placenta area in S2 and cervical area measured by MRI show potential utility in identifying MH among patients with PAS, which may assist in preoperative risk stratification. These preliminary results require validation in future studies.
Keywords: complete placenta previa, magnetic resonance imaging, placenta accreta spectrum, placenta area in S2, cervical area
Introduction
Placenta accreta spectrum (PAS) disorders is defined as the invasion of the chorion into the myometrium, including placenta accreta, increta and percreta.1 PAS is an obstetric complication related to severe maternal morbidity and mortality, such as postpartum hemorrhage, peripartum hysterectomy, mechanical ventilation, infection, intensive care unit admission, prolonged hospitalization, psychological disturbances, and even maternal death.2,3 Prior cesarean section and placenta previa are high-risk factors for PAS.4 Imaging examination for PAS is essential for evaluating haemorrhage risk and determining treatment options before surgery. Ultrasound is widely used for the initial diagnosis of PAS because it is non-invasive and widely available. Magnetic resonance imaging (MRI) studies on PAS have recently focused more on the evaluation of relevant MRI features to predict the bleeding risk and the adverse outcomes of the maternal caesarean section.5,6 MRI provides better soft-tissue contrast and multiplanar imaging than ultrasound, which is useful in cases of equivocal ultrasound findings or posterior placenta.7
Depending on the anatomic origin of the blood vessels, uterine vascular areas were divided into S1 (above the peritoneal reflection) and S2 (below the peritoneal reflection). The blood supply to the S2 area is provided by 5 branches of the retroperitoneal vessels, namely the superior, middle and inferior vaginal arteries, the bladder artery, and the internal pudendal artery. Bilateral uterine artery embolization or ligature was effective for hemostasis in S1 area, but ineffective in S2 area.8 Moreover, the operation space in S2 area was narrow and hemostasis was difficult, which might lead to massive hemorrhage (MH) (estimated blood loss >2000 mL) during cesarean section.9 When the amount of bleeding exceeds 2000 mL, the patients usually have severe coagulopathy.10 It has been reported that large placental area and short cervical length might be associated with a high risk of MH and adverse maternal–fetal perinatal outcomes in patients with complete placenta previa.6,11 However, in the presence of PAS, the cervix and lower segment are often distorted. Measuring the placental area in sector 2 and the cervical area may provide a more reliable and reproducible indicator of the extent of placental invasion and the resulting distortion of the cervix. Reducing blood loss during cesarean section and maternal mortality is an important responsibility of obstetricians. A comprehensive preoperative MRI assessment facilitates the tailoring of management strategies (referral to PAS center, planned hysterectomy vs conservative intent, blood product preparation, interventional radiology planning, et al) to the individual patient’s risk profile in cases of PAS. Therefore, the risk assessment of MH before delivery and appropriate treatment are important ways to improve the clinical outcomes in PAS patients with complete placenta previa and perinatal infants. We speculated that further evaluation of placenta area in S2 and cervical area in sagittal plane by MRI would be helpful to assess the risk of MH before surgery and choose appropriate treatment.
Therefore, the purpose of our study was to explore the role of placenta area in S2 and cervical area in identifying MH in complete placenta previa patients with PAS.
Materials and Methods
Study Population and MRI Protocol
The retrospective study was approved by the Institutional Review Board (IRB) of the affiliated Suzhou Hospital of Nanjing Medical University (K-2022-015-K01), and an informed verbal consent was obtained from all the participants. Patients were excluded due to not delivering in our hospital (n=117), not undergoing MRI examination (n=220), poor image quality (n=11), or insufficient urine in the bladder on MRI (n=32). At last, 138 complete placenta previa women who were diagnosed to have PAS after cesarean section, between January 2016 and December 2023, were reviewed carefully (Figure 1). Diagnosis of complete placenta previa was made by transabdominal ultrasound in the third trimester of pregnancy when the lower placental edge covered completely the internal os of the uterine cervix. The amount of bleeding during all the cesarean sections was measured using the weighing method. PAS women were grouped in terms of the amount of blood loss during cesarean section, MH (estimated blood loss >2000 mL) and non-MH groups (estimated blood loss ≤2000 mL). The diagnosis of PAS was based on the clinical criteria of conservative treatment or pathological diagnosis after hysterectomy according to FIGO criteria.12,13
|
Figure 1 Flow chart of PAS patients with complete placenta previa included in the study. |
All placental MRIs were performed on a 3-T MRI (Siemens Medical Solutions, Erlangen, Germany). One hundred and thirty-eight patients with bladder moderately full (about 400–500 mL urine) who underwent placenta MRI by T2-weighted half-fourier acquisition single-shot turbo spin echo (HASTE) sequence (TR 700 ms, TE 87 ms, 432×432 matrix over a field of view of 380×380 mm, 5 mm slice thickness). According to the anatomical classification of PAS proposed by Palacios Jaraquemada et al, a line perpendicular to and across the midpoint of the posterior wall of the bladder was drawn, the area above the line was S1 and the area below the line was S2 (Figure 2)14 From an anatomical perspective, S1 refers to the body of the uterus, S2 refers to the lower segment of the uterus and the cervix. The region of interest was manually traced along the outer contour of the cervix, extending from the internal os to the external os. The tracing followed the cervical stroma, excluding the endocervical canal. The lateral boundaries were defined by the anterior and posterior cervical lips. All tracings were performed independently by two experienced radiologists (>20 years in obstetric MRI) who were blinded to the patients’ hemorrhage status and all other clinical outcomes. The average of the two measurements was used for statistical analysis, and any disagreements were resolved by consensus. The placental area in S2 and the cervical area were measured on two-dimensional (2D) MRI. For each patient, the mid-sagittal slice that best visualized the entire cervical canal was selected for analysis. On this single representative slice, the placenta area in S2 and cervical area were traced by Image J software version 1.50 (National Institute of Health, Bethesda, USA), and then their areas were calculated.
Statistical Analysis
The data was analyzed by SPSS Version 23.0 (SPSS Inc., Chicago, IL, USA) statistical package. Continuous variables were reported as mean ± standard deviation (SD) and compared using Student’s t test. Categorical data were presented as number and percentage and compared by chi-squared test. Non-normally distributed numerical data were presented as median and inter-quartile, and their differences were compared by Mann–Whitney test. Multivariable logistic regression analysis was used to identify MRI features that may lead to MH. Spearman analysis was performed to analyze the correlation between placental area in S2, cervical area and amount of blood loss. Receiver operating characteristics (ROC) curves were constructed to determine the accuracy of placenta area in S2 and cervical area to identify PAS patients at high risk for MH. Intraclass correlation coefficients (ICCs) were calculated to determine the agreement of placenta area in S2 and cervical area between the radiologists according to the following definitions: excellent agreement (≥0.90), good agreement (range, 0.75 to 0.90), moderate agreement (range, 0.50 to 0.75), poor agreement (<0.50). A two-tailed value of P<0.05 was considered statistically significant.
Results
A total of 138 PAS patients were finally included in the present study. The general characteristics of participants were listed in Table 1, including maternal age, BMI, gravidity, parity, number of abortions, number of previous cesarean delivery, previous history of placental previa, gestational age during MRI, and prenatal vaginal bleeding showed no differences between the two groups. There was a significant difference between patients with or without MH with regard to gestational age at delivery (P=0.003), neonatal birth weight (P=0.001), operation time (P=0.003), intraoperative blood loss (P<0.001), and blood transfusion (P<0.001). ICU admission and hysterectomy were also significantly greater in patients with MH (P = 0.012 and P = 0.014, respectively).
|
Table 1 Patients’ Clinical Features of the Study Groups |
The ICC for the measurement of the placenta area in sector 2 was 0.913 (95% confidence interval [CI]: 0.882–0.937), and for cervical area it was 0.905 (95% CI: 0.764–0.931) (Table 2). The placenta area in S2 of the MH group was significantly higher than that of the group without MH (P<0.001), on the contrary, cervical area was significantly lower in PAS patients with MH than that of the group without MH (P<0.001) (Figure 3). After adjusting for the type of PAS, we used placenta area and cervical area for identifying MH, which were shown to have good performance that placenta area in S2 ≥45 cm2 (OR, 4.805; 95% CI, 2.776–8.794; P<0.05) and cervical area <4.0 cm2 (OR, 4.015; 95% CI, 1.905–7.862; P<0.05) (Figure 4). ROC analysis revealed that the area under the curve (AUC) of placenta area in S2 in identifying MH was 0.853 and that the optimal cut-off was 45.0 cm2, with a sensitivity of 86.431% and a specificity of 85.335%. For predicting MH, the AUC of cervical area was 0.831, and the optimal cut-off was 4.0 cm2, the sensitivity was 85.548%, and the specificity was 82.504% (Table 3 and Figure 5). When we combined placental area in S2 and cervical area, the sensitivity, specificity, and AUC for the predictive MH were significantly improved, and their values were 89.237%, 91.548%, and 0.910 (95% CI 0.858 ~ 0.963), respectively.
|
Table 2 Interobserver Reliability of MRI in the Measurement of MRI Features |
|
Table 3 Receiver Operating Characteristic Analyses for Prediction of Massive Hemorrhage Based on Cervical Length and Cervical Area |
|
Figure 3 (a) Placenta area in S2 in PAS patients with and without MH. (b) Cervical area in PAS patients with and without MH. |
|
Figure 4 Multivariate logistic regression analysis of risk factors for patients with MH. |
|
Figure 5 Receiver operating characteristic (ROC) curve of different magnetic resonance imaging (MRI) features in patients with placenta accreta spectrum disorders (PAS). |
In PAS patients, a positive association between placental area in S2 and amount of blood loss (r=0.748) was observed, and negative association was observed between cervical area and amount of blood loss (r=−0.682), between cervical area and placenta area (r=−0.575). As the placental area in S2 became larger and cervical area became smaller, the bubbles representing the amount of blood loss tended to increase gradually (Figure 6).
Discussion
Complete placenta previa women with prior cesarean section are at increased risk of MH requiring an emergency cesarean delivery that is difficult to be dealed with for obstetricians. Therefore, it is necessary to assess perioperatively the risk of MH in those patients with either ultrasound or MRI investigations. Ultrasound is still an important means of diagnosing PAS, but MRI can provide more information about the depth of placenta invasion.15 To our knowledge, most of the studies focused on the influence of cervical length on maternal and infant perinatal outcomes in PAS patients,16,17 and the studies on cervical area in PAS were rare. In this study, we focused on addressing placenta area in S2 and cervical area as indicators that might help to anticipate MH during caesarean section.
An increased thickness of the lower placental edge had been reported by some to increase the risk of vaginal bleeding in patients with placenta previa.18 To stop MH in the uterus, not only the irrigation arterial pedicles of uterus, but also their anastomotic components at the bleeding sector should be managed. Knowledge of the blood supply of uterine sectors (S1 and S2) is a prerequisite to stop bleeding accurately and rapidly during surgery. The blood supply in S2 is more complex than that in S1, and the operating space in S2 is narrower, so the bleeding in the S2 is difficult to control, resulting in an increased risk of MH in PAS patients. The S1 (above the peritoneal reflection) and S2 (below the peritoneal reflection) regions of the uterus are supplied by different blood vessels in the pelvis. The S1 is supplied by ascendent branches of the uterine artery and the descendent branches of the ovarian artery, and the S2 is supplied by uterine, cervical, upper vesical, vaginal, iliac internal, and pudendal artery branches.8
The findings from this retrospective study showed that prenatal MRI has promising discriminatory ability in identifying MH during cesarean section. In this study, using ROC curve, if placenta area in S2 >45 cm2 was taken as a cut-off, the risk of MH was significantly higher as compared to cases with placenta area in S2 below this threshold. PAS patients with placental accreta that occur in the S2 were at a higher risk of complications during surgery.19 The study of Palacios Jaraquemada et al found that up to 87.6% of placenta implantation occurred in the S2 region of the lower uterine segment.14 Uterine ligature, occlusion, or embolization was very effective for uterine bleeding in the S1 region, and the efficiency was even more than 90%.20 Placental accreta in the S2 region was an important cause of postpartum hemorrhage in PAS patients, and even internal iliac vascular ligation was ineffective.21
Shorter cervical length was strongly associated with MH and adverse maternal–fetal outcomes in patients with PAS.11 Many studies had focused on the association between cervical length and adverse perinatal outcomes in PAS patients. In this study, cervical area was strongly associated with the development of MH during surgery. PAS patients with placenta previa with a short cervix have a higher risk of MH, which may be caused by the low position of the placenta leading to dilated lower uterine segment and cervix, and the lack of muscle tissue that can constrict the torn vessels after placental separation.22,23 In late pregnancy, the placenta previa tends to pull the cervix, which caused the cervical length to shorten and the cervical area to shrink.24 Some researchers had pointed out that shortened cervical length means placenta previa cannot attach smoothly to the lower segment of the uterus and the cervix, which increased the risk of MH.25 Cervical area includes the length and thickness of the cervix, which may be able to reflect the cervical condition of PAS patients more comprehensively to a certain extent.
In this study, we showed that the placenta area in S2 of the MH group was significantly higher than that of the group without MH, on the contrary, cervical area was significantly lower in PAS patients with MH than that of the group without MH. Our findings regarding a possible association between placenta area in S2, cervical area and the risk of MH in complete placenta previa patients with PAS may improve our ability to predict adverse clinical outcomes and to refine obstetric management in these cases.
One strength of our study was its clinically relevant population – PAS women were grouped in terms of the amount of blood loss during cesarean section, MH (estimated blood loss >2000 mL) and non-MH groups (estimated blood loss ≤2000 mL). These preliminary findings suggest that the placenta area in sector 2 and cervical area may contribute to identifying patients at potentially elevated risk of MH in patients with PAS. Another strength was that our study allowed us to assess the risk of MH in PAS patients before cesarean section and take well prepared for surgery.
Several limitations of this study should be acknowledged. First, the limitations of this study were its retrospective nature, the small number of women enrolled, and the fact that it involved only a single institution. The study may have selection bias due to MRI eligibility and image quality requirements. Second, the study period spanned from 2016 to 2023, during which there may have been subtle changes in perioperative management, surgical techniques, or transfusion thresholds that could influence outcomes but were not fully captured in the analysis. Third, different obstetric surgeons may have deviations in their estimations of the intraoperative blood loss for patients with PAS.
Conclusion
In summary, the placental area in S2 and the cervical area are associated with the risk of MH during cesarean section in complete placenta previa patients with PAS disorders. These MRI findings may aid in preoperative risk recognition. Due to the lack of validation, the adjusted analyses and validation are needed before clinical deployment.
Data Sharing Statement
The datasets generated or analyzed during the study are available from the corresponding author on reasonable request.
Ethics Approval and Informed Consent
This retrospective study complied with the Declaration of Helsinki. The retrospective study was approved by the Institutional Review Board (IRB) of the affiliated Suzhou Hospital of Nanjing Medical University (K-2022-015-K01). The verbal informed consent process was approved by the IRB of the affiliated Suzhou Hospital of Nanjing Medical University, and the informed verbal consent was obtained from all the participants.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in writing, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agreed to be accountable for all aspects of the work.
Funding
This study was supported by Suzhou Gusu Medical Youth Talent (grant number GSWS2023055), Suzhou Science and Technology Development Plan (grant number SYW2025052) and Suzhou Municipal Hospital Educational Research Project (grant number Slyyjy202409).
Disclosure
A preprint of this paper was posted on the Research Square platform (https://sciety.org/articles/activity/10.21203/rs.3.rs-4889427/v1) prior to submission. The authors declared that they have no conflicts of interest in this work.
References
1. Jauniaux E, Ayres–De–Campos D, Langhoff–Roos J, Fox KA, Collins S. FIGO classification for the clinical diagnosis of placenta accreta spectrum disorders. Int J Gynaecol Obstet. 2019;146(1):20–10. doi:10.1002/ijgo.12761
2. 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:10.1016/j.bpobgyn.2020.07.011
3. D’Arpe S, Franceschetti S, Corosu R, et al. Emergency peripartum hysterectomy in a tertiary teaching hospital: a 14-year review. Arch Gynecol Obstet. 2015;291(4):817–841. doi:10.1007/s00404-014-3487-y
4. Wu S, Kocherginsky M, Hibbard JU. Abnormal placentation: twenty-year analysis. Am J Obstet Gynecol. 2005;192(5):1458–1466. doi:10.1016/j.ajog.2004.12.074
5. Delli Pizzi A, Tavoletta A, Narciso R, et al. Prenatal planning of placenta previa: diagnostic accuracy of a novel MRI-based prediction model for placenta accreta spectrum (PAS) and clinical outcome. Abdom Radiol. 2019;44(5):1873–1882. doi:10.1007/s00261-018-1882-8
6. Zhou LP, Zhao XP, Xu D, et al. Placental area in the lower uterine segment, cervical length, and clinical outcome in pregnancies with complete placenta previa. J Magn Reson Imaging. 2023;58(4):1047–1054. doi:10.1002/jmri.28617
7. Do QN, Lewis MA, Xi Y, et al. MRI of the Placenta Accreta Spectrum (PAS) disorder: radiomics analysis correlates with surgical and pathological outcome. J Magn Reson Imaging. 2020;51(3):936–946. doi:10.1002/jmri.26883
8. Palacios-Jaraquemada JM, Nieto-Calvache Á, Basanta NA. Anatomical basis for the uterine vascular control: implications in training, knowledge, and outcomes. Am J Obstet Gynecol MFM. 2023;5(7):100953. doi:10.1016/j.ajogmf.2023.100953
9. Alshammary E, Elmuzaini MF. Successful conservative treatment of multiorgan infiltrating placenta percreta by uterine embolization and follow up with serial magnetic resonance. A case report. Int J Surg Case Rep. 2019;58(C):216–219. doi:10.1016/j.ijscr.2019.04.012
10. de Lloyd L, Jenkins PV, Bell SF, et al. Acute obstetric coagulopathy during postpartum hemorrhage is caused by hyperfibrinolysis and dysfibrinogenemia: an observational cohort study. J Thromb Haemost. 2023;21(4):862–879. doi:10.1016/j.jtha.2022.11.036
11. Zaitoun MM, Behery MM, Hameed AA, et al. Does cervical length and the lower placental edge thickness measurement correlates with clinical outcome in cases of complete placenta previa. Arch Gynecol Obstet. 2011;284(4):867–873. doi:10.1007/s00404-010-1737-1
12. Paily VP, Sidhik A, Girijadevi RR, et al. Managing placenta accreta spectrum in low-resource settings using a novel dissection-free aorta clamp: operative technique. Int J Gynaecol Obstet. 2022;158(2):469–475. doi:10.1002/ijgo.14196
13. Calvache AJ, Calvache JP, Hidalgo A, et al. Placenta accreta spectrum prenatal diagnosis performance: are ultrasound false-positive results acceptable in limited-resources settings? Rev Bras Ginecol Obstet. 2022;44(09):838–844. doi:10.1055/s-0042-1751061
14. Palacios-Jaraquemada JM, Bruno CH, Martın E. MRI in the diagnosis and surgical management of abnormal placentation. Acta Obstet Gynecol Scand. 2013;92(4):392–397. doi:10.1111/j.1600-0412.2012.01527.x
15. Baughman WC, Corteville JE, Shah RR. Placenta accreta: spectrum of US and MR imaging findings. Radiographics. 2008;28(7):1905–1916. doi:10.1148/rg.287085060
16. Altraigey A, Ellaithy M, Barakat E, Majeed A. Cervical length should be measured for women with placenta previa: cohort study. J Matern Fetal Neonatal Med. 2021;34(13):2124–2131. doi:10.1080/14767058.2019.1659239
17. Ghi T, Contro E, Martina T, et al. Cervical length and risk of antepartum bleeding in women with complete placenta previa. Ultrasound Obstet Gynecol. 2009;33(2):209–212. doi:10.1002/uog.6301
18. Ghourab S. Third-trimester transvaginal ultrasonography in placenta praevia: does the shape of the lower placental edge predict clinical outcome? Ultrasound Obstet Gynecol. 2001;18(2):103–108. doi:10.1046/j.1469-0705.2001.00420.x
19. 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. Acta Obstet Gynecol Scand. 2018;97(5):507–520. doi:10.1111/aogs.13258
20. Posadas-Neve A, Moreno-Santillan A, Celis-Gonzalez C, Cruz-Martínez E. Control of postpartum hemorrhage employing selective uterine artery ligation. Seven years experience. Ginecol Obstet Mex. 2019;87:576–582.
21. Volochovič J, Ramašauskaitė D, Šimkevičiūtė R. Antenatal diagnostic aspects of placenta percreta and its influence on the perinatal outcome: a clinical case and literature review. Acta Med Litu. 2016;23(4):219–226. doi:10.6001/actamedica.v23i4.3423
22. Rosenberg T, Pariente G, Sergienko R, Wiznitzer A, Sheiner E. Critical analysis of risk factors and outcome of placenta previa. Arch Gynecol Obstet. 2011;284:47–51.
23. Williams Obstetrics Editorial Board. Obstetrical hemorrhage. In: Cunningham FG, Leveno KJ, Bloom SL, Hauth JC, Rouse DJ, Spong CY, editors. Williams Obstetrics.
24. Garofalo A, Pilloni E, Alemanno MG, et al. Ultrasound accuracy in prenatal diagnosis of abnormal placentation of posterior placenta previa. Eur J Obstet Gynecol Reprod Biol. 2019;242:86–91. doi:10.1016/j.ejogrb.2019.09.021
25. Shen HL, Zhao W, Zhu WL, Zhong SP, Zhu WY. The study of making decision in the timing of delivery for patients of placenta previa through dynamic monitoring the length of cervical canal by perineal ultrasound. Zhonghua Yi Xue Za Zhi. 2019;99(11):834–837. doi:10.3760/cma.j.issn.0376-2491.2019.011.007
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