Magnetic resonance Imaging of mother and fetus in late gestation to inform and optimise BIRTH management: the MIBIRTH study
Lead Research Organisation:
King's College London
Department Name: Imaging & Biomedical Engineering
Abstract
In 2020 there were 464,437 U.K. births, of which one third were delivered by Emergency Caesarean Section ( EmCS) or assisted delivery (forceps or vacuum extraction). These interventions often follow a prolonged exhausting labour with a procedure performed under anaesthetic outside normal working hours. Such complex births are more common in older mothers, mothers who are obese and those with small or large babies. They are associated with an increase in baby's admission to the neonatal unit with infection and injuries to the baby's brain, such as hypoxic -ischaemic encephalopathy (HIE). Mothers may suffer excessive bleeding, pelvic floor injuries with subsequent urinary and/or faecal incontinence/leaking, painful sexual intercourse and post-traumatic stress disorder, with lifelong impacts to physical and emotional health. Approximate 17% of women have an elective section (ElCS), leaving only 50% of women in the U.K. having unassisted vaginal deliveries.
The main reasons for EmCS or assisted delivery are concerns about baby's wellbeing in labour with compromise relating to a poorly functioning placenta and difficulties with the baby fitting through the birth canal (cephalopelvic disproportion, CPD). Before labour starts, it is currently difficult to accurately predict which babies will get into difficulty or to identify pregnancies at risk of CPD. Other factors such as the mother's age and weight are also important. Creating an individualised risk for EmCS or assisted delivery for a woman at the end of pregnancy would dramatically improve joint patient/clinician decision-making with the potential to avoid a difficult delivery, and improve maternal and neonatal outcome.
We plan to use a technique called magnetic resonance imaging (MRI) in late pregnancy, after 36 weeks of gestation (GA), to identify mothers at increased risk of a difficult delivery. This imaging does not use radiation and is safe for both mother and baby. It is currently widely used in clinical practice to diagnose fetal abnormalities and well tolerated. We will scan 500 women who have a higher risk of an adverse delivery and combine measures of the maternal pelvis, fetal head and fetal position with assessment of fetal energy reserves and heart function, and placental function. We will approach mothers at around 20 weeks GA about the study. This will allow them time to read the patient information sheet, watch a video about antenatal MR scanning, and discuss the study with their partners, relatives and doctors. The MRI scan will be performed at St Thomas' Hospital, KCL, taking about one hour with a comfort break halfway through. Attention will be paid to ensure the mother is comfortable during the scan and can talk with the imaging team throughout. We will perform an ultrasound scan during the same visit. Parents will be shown images of their baby and copies provided. If there are any incidental findings on the imaging that are known to influence the management of the birth or delivery, such as a low lying placenta, these will be discussed with the mother and shared with the obstetric and midwifery team. We will collect clinical data acquired as part of routine antenatal care. with information from the labour and delivery and the mothers and baby's outcome. Six weeks after birth we will contact and ask mothers for information about their physical and mental wellbeing, feeding method and baby's health.
With all available information for an individual pregnancy we will use the latest data modelling tools to determine which factors relate to a higher chance of a difficult delivery. This should provide the most valuable data required to produce an individual risk score that can be used prospectively in women at high risk for EmCS or assisted delivery. Our ultimate aim is to reduce the numbers of EmCS and assisted deliveries, thereby improving the short and long-term health and wellbeing of both mothers and babies.
The main reasons for EmCS or assisted delivery are concerns about baby's wellbeing in labour with compromise relating to a poorly functioning placenta and difficulties with the baby fitting through the birth canal (cephalopelvic disproportion, CPD). Before labour starts, it is currently difficult to accurately predict which babies will get into difficulty or to identify pregnancies at risk of CPD. Other factors such as the mother's age and weight are also important. Creating an individualised risk for EmCS or assisted delivery for a woman at the end of pregnancy would dramatically improve joint patient/clinician decision-making with the potential to avoid a difficult delivery, and improve maternal and neonatal outcome.
We plan to use a technique called magnetic resonance imaging (MRI) in late pregnancy, after 36 weeks of gestation (GA), to identify mothers at increased risk of a difficult delivery. This imaging does not use radiation and is safe for both mother and baby. It is currently widely used in clinical practice to diagnose fetal abnormalities and well tolerated. We will scan 500 women who have a higher risk of an adverse delivery and combine measures of the maternal pelvis, fetal head and fetal position with assessment of fetal energy reserves and heart function, and placental function. We will approach mothers at around 20 weeks GA about the study. This will allow them time to read the patient information sheet, watch a video about antenatal MR scanning, and discuss the study with their partners, relatives and doctors. The MRI scan will be performed at St Thomas' Hospital, KCL, taking about one hour with a comfort break halfway through. Attention will be paid to ensure the mother is comfortable during the scan and can talk with the imaging team throughout. We will perform an ultrasound scan during the same visit. Parents will be shown images of their baby and copies provided. If there are any incidental findings on the imaging that are known to influence the management of the birth or delivery, such as a low lying placenta, these will be discussed with the mother and shared with the obstetric and midwifery team. We will collect clinical data acquired as part of routine antenatal care. with information from the labour and delivery and the mothers and baby's outcome. Six weeks after birth we will contact and ask mothers for information about their physical and mental wellbeing, feeding method and baby's health.
With all available information for an individual pregnancy we will use the latest data modelling tools to determine which factors relate to a higher chance of a difficult delivery. This should provide the most valuable data required to produce an individual risk score that can be used prospectively in women at high risk for EmCS or assisted delivery. Our ultimate aim is to reduce the numbers of EmCS and assisted deliveries, thereby improving the short and long-term health and wellbeing of both mothers and babies.
Technical Summary
Unassisted vaginal delivery is associated with the lowest rates of neonatal and maternal mortality and morbidity, yet only 57% of the 464,437 UK births per year (2020) are delivered in this manner. Assisted vaginal delivery (forceps and vacuum extraction) and EmCS, performed for failure of labour to progress, obstructed labour (cephalopelvic disproportion[CPD]) and fetal hypoxia are associated with an increase in neonatal brain injury, e.g. hypoxic -ischaemic encephalopathy, increased maternal pelvic floor injuries and post-traumatic stress disorder - all carrying lifelong impacts to physical and emotional health. Obesity and advanced maternal age increase the rate of difficult deliveries.
Placental dysfunction is a major contributor to fetal hypoxia and abnormal birth outcomes; fetal growth restriction, fetal distress and neonatal hypoxic ischaemic encephalopathy. Current approaches to assess for these outcomes lack the sensitivity and specificity to be used to screen high risk pregnancies.
We hypothesise that an integrated comprehensive MR assessment of the mother and fetus at late gestation (>36 weeks) can inform, together with clinical and US data, a data modelling approach to provide an optimised individualised risk assessment for abnormal outcomes of EmCS and assisted delivery in high risk women.
Recent advances in placental, cervical and fetal MRI (NIH-funded Placenta Imaging Project and the Wellcome/EPSRC-funded iFIND, CRAFT and GIFT-Surg projects) will be exploited to acquire data on maternal pelvis and fetal dimensions and volumes, placental maturation and function, umbilical cord characteristics and fetal reserves in 500 women from two participating study sites (KCL and UCLH). Complemented by Ultrasound(US) and delivery outcome this data will be interrogated using data modelling approaches to produce a prediction tool that could be applied prospectively in women at high risk for EmCS or assisted delivery with the aim of reducing morbidity.
Placental dysfunction is a major contributor to fetal hypoxia and abnormal birth outcomes; fetal growth restriction, fetal distress and neonatal hypoxic ischaemic encephalopathy. Current approaches to assess for these outcomes lack the sensitivity and specificity to be used to screen high risk pregnancies.
We hypothesise that an integrated comprehensive MR assessment of the mother and fetus at late gestation (>36 weeks) can inform, together with clinical and US data, a data modelling approach to provide an optimised individualised risk assessment for abnormal outcomes of EmCS and assisted delivery in high risk women.
Recent advances in placental, cervical and fetal MRI (NIH-funded Placenta Imaging Project and the Wellcome/EPSRC-funded iFIND, CRAFT and GIFT-Surg projects) will be exploited to acquire data on maternal pelvis and fetal dimensions and volumes, placental maturation and function, umbilical cord characteristics and fetal reserves in 500 women from two participating study sites (KCL and UCLH). Complemented by Ultrasound(US) and delivery outcome this data will be interrogated using data modelling approaches to produce a prediction tool that could be applied prospectively in women at high risk for EmCS or assisted delivery with the aim of reducing morbidity.
Publications
Aviles Verdera J
(2025)
Real-time fetal brain and placental T2* mapping at 0.55T MRI.
in Magnetic resonance in medicine
Aviles Verdera J
(2023)
Reliability and Feasibility of Low-Field-Strength Fetal MRI at 0.55 T during Pregnancy.
in Radiology
Chappell J
(2023)
A review of feto-placental vasculature flow modelling.
in Placenta
Matthew J
(2024)
Automated craniofacial biometry with 3D T2w fetal MRI.
in PLOS digital health
Neves Silva S
(2024)
Fully automated planning for anatomical fetal brain MRI on 0.55T.
in Magnetic resonance in medicine
Neves Silva S
(2023)
Real-time fetal brain tracking for functional fetal MRI.
in Magnetic resonance in medicine
Payette K
(2025)
Fetal body organ T2* relaxometry at low field strength (FOREST).
in Medical image analysis
Uus AU
(2024)
Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI.
in Scientific reports
| Description | Erlangen partnership |
| Organisation | University Hospital Erlangen |
| Country | Germany |
| Sector | Hospitals |
| PI Contribution | Team mebers work wihtin the department and disseminating our pipleines and low field MRI expertise. |
| Collaborator Contribution | Team member sharing expertise in fetal MRI, Low field MRI and our automated piplines developed within this study |
| Impact | no outputs as yet |
| Start Year | 2023 |
| Description | Lausanne testing |
| Organisation | University of Lausanne |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | the team have travelled to Lausanne to try and set up our and quality control some of our aitomated pipelines |
| Collaborator Contribution | Team member travelled and diseeminated pipeline developed in house using MiBIrth data |
| Impact | some quality control possible - work ongoing. |
| Start Year | 2024 |
| Description | Maternal outcomes |
| Organisation | King's College London |
| Department | Institute of Psychiatry, Psychology & Neuroscience |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Initial collaboration to assess maternal outcomes |
| Collaborator Contribution | OUr collaborator has great expertise in maternal mental health in relation to pregnancy and birth |
| Impact | Nil so far . Collaboration just started |
| Start Year | 2024 |
| Description | Munich collab |
| Organisation | University of Munich Hospital |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | The team is collaborating with the MRI centre there to disseminate fetal MRI pipelines developed within MiBIrth |
| Collaborator Contribution | developed the pipelines |
| Impact | no outputs as yet |
| Start Year | 2025 |
| Description | Pelvimetry |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Just started . We will be sharing pelvic MRI data for shape analysis. |
| Collaborator Contribution | Expertise in anthropological aspects of the pelvis and their relationship to childbirth. Expertise in shape analysis |
| Impact | No outputs yet |
| Start Year | 2025 |
| Description | MiBirth stakeholders and advisory meeting |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Third sector organisations |
| Results and Impact | Meteing to feedback on study to dat. Input form particpants. discusssion on furture directions etc |
| Year(s) Of Engagement Activity | 2024 |
| Description | MiBirth website and instagram |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Study participants or study members |
| Results and Impact | set up study webisite to dissemnitae information about the study its progress and its results . |
| Year(s) Of Engagement Activity | 2024 |
| Description | PPI group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Study participants or study members |
| Results and Impact | Initial PPI group formed for the MiBirth study. Included members of the public, charity grups and researchers |
| Year(s) Of Engagement Activity | 2023 |
| Description | Study open day 9th July 2024 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | We help a MiBirth study Open day within the hospital. We had refreshments, videos, printed material and the entire team available to talk to patients and members of the public. We had professional musicians to listen to. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Webinar for charity MASIC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | the charity MASIC which focuses on maternal obstetric trauma held a 2 hour webinar with panel discussion. I presented the MiBIrth study. |
| Year(s) Of Engagement Activity | 2025 |
