MODERN METHODS OF VISUALIZATION OF PATHOLOGICAL PLACENTATION


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Abstract

The deterioration of the attachment of the placenta is associated with an increased risk of the development of its premature detachment, postpartum hemorrhages, intrauterine and intranatal fetal death. The fused placenta occurs approximately in 9% of women with placenta previa and in 0.004% of women without placenta previa. The timely made diagnosis of this pathologyis critically important for choosing the amount of surgical intervention for delivery, which is always associated with increased blood loss. This review examines issues of the diagnosis of placenta attachment. Data on advantages and disadvantages of ultrasound and MRI methods are given. The frequency of abnormal placentation is known to correlate with the increase in the number of surgical interventions on the uterus, in particular, the operation of cesarean section. In this regard, there is a need for accurate and early diagnosis of placenta attachment. Currently, the ultrasound method is leading in the detection this pathology, but this method has its drawbacks. In this review, the authors attempted to collect experience with the use of MRI for early diagnosis of abnormal placentation.

About the authors

A. F Kadyrova

I.M. Sechenov First Moscow State Medical University

Moscow, 119991, Russian Federation

K. B Puzakov

I.M. Sechenov First Moscow State Medical University

Moscow, 119991, Russian Federation

Andrey V. Murashko

I.M. Sechenov First Moscow State Medical University

Email: murashkoa@mail.ru
MD, PhD, Dsci., Professor of the Department of Obstetrics and Gynecology of the I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation Moscow, 119991, Russian Federation

T. A Seredina

I.M. Sechenov First Moscow State Medical University

Moscow, 119991, Russian Federation

I. V Gadaeva

I.M. Sechenov First Moscow State Medical University

Moscow, 119991, Russian Federation

References

  1. Miller D.A., Chollet J.A., Goodwin T.M. Clinical risk factors for placenta previa - placenta accrete. Am. J. Obstet. Gynecol. 1997; 177(1): 210-4.
  2. Oyelese Y., Smulian C. Placenta previa, placenta accreta, and vasa previa. Obstet. Gynecol. 2006; 107(4): 927-41.
  3. Курцер М.А., Панин А.В., Сущевич Л.В. Перевязка внутренних подвздошных артерий как альтернатива гистерэктомии при массивных акушерских кровотечениях. Акушерство и гинекология. 2005; 4: 12-5
  4. Bodner L.J., Nosher J.L., Gribbin C., Siegel R.L., Beale S., Scorza W. et al. Balloon-assisted occlusion of the internal iliac arteries in patients with placenta accreta/percreta. Cardiovasc. Intervent. Radiol. 2006; 29(3): 354-61.
  5. Bowman Z.S., Eller A.G., Kennedy A.M., Richards D.S., Winter T.C. 3rd et al. Accuracy of ultrasound for the prediction of placenta accreta. Am. J. Obstet. Gynecol. 2014; 211(2): 177.e1-7. doi: 10.1016/j.ajog.2014.03.029.
  6. Медведев М.В. Пренатальная эхография. М.: Реальное время; 2005: 45-7
  7. Comstock C.H. Antenatal diagnosis of placenta accreta: a review. Ultrasound Obstet. Gynecol. 2005; 26: 89-96.
  8. Budorick N.E., Figueroa R., Vizcarra M., Shin J. Another look at ultrasound and magnetic resonance imaging for diagnosis of placenta accreta. J. Matern. Fetal Neonatal Med. 2016; 24: 1-6.
  9. Avni R., Neeman M., Garbow J.R. Functional MRI of the placenta - from rodents to humans. Placenta. 2015; 36(6): 615-22. doi: 10.1016/j.placenta.2015.04.003.
  10. Протопопова Т.А. Тактика ведения беременных и принципы родоразрешения при предлежании и миграции плаценты. Российский медицинский журнал. 2003; 4: 48-50
  11. Chou M.M., Ho E.S.C., Lee Y.H. Prenatal keywords accreta by transabdominal color Doppler ultrasound. Ultrasound Obstet. Gynecol. 2000; 15(1): 28-35. doi: 10.1046/j.1469-0705.2000.00018.x

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