This study is currently not recruiting participants.

Multifactorial severity score for in utero detection of the morbidly adherent placenta (MAP)

  • STATUS
    Not Recruiting
Send
Updated on 19 February 2024

Summary

Failure to accurately detect the morbidly adherent placenta (MAP) has led to significant morbidity for pregnant patients. Prenatal ultrasound (US) is the first-line imaging modality to assess the placenta, but both sensitivity and specificity are lacking. More recently, prenatal MRI has been used to evaluate the placenta when US visibility is limited and when there is diagnostic uncertainty. Many studies indicate that the sensitivity and specificity of US and MRI are similar, with both lacking a sufficiently high diagnostic accuracy. By adding MRI to US in a group of patients at risk for MAP, this investigation aims to improve accuracy through a multifactorial scoring system using data and biomarkers from clinical history, US, and MRI.

Description

Failure to accurately detect the morbidly adherent placenta (MAP) has led to significant morbidity for pregnant patients. Prenatal ultrasound (US) is the first-line imaging modality to assess the placenta, but both sensitivity and specificity are lacking. More recently, prenatal MRI has been used to evaluate the placenta when US visibility is limited and when there is diagnostic uncertainty. Many studies indicate that the sensitivity and specificity of US and MRI are similar, with both lacking a sufficiently high diagnostic accuracy. By adding MRI to US in a group of patients at risk for MAP, this investigation aims to improve accuracy through a multifactorial scoring system using data and biomarkers from clinical history, US, and MRI.

Details
Condition pregnant
Age 18years - 100years
Clinical Study IdentifierTX8665
Last Modified on19 February 2024

Similar trials to consider

Not finding what you're looking for?

Every year hundreds of thousands of volunteers step forward to participate in research. Sign up as a volunteer and receive email notifications when clinical trials are posted in the medical category of interest to you.

Sign up as volunteer
Add a private note
  • abc Select a piece of text.
  • Add notes visible only to you.
  • Send it to people through a passcode protected link.