New Ultrasound Technique Detects Placental Pathologies
|
By MedImaging International staff writers Posted on 07 Jun 2021 |

Image: Ultrasoundof the umbilical artery can identify placenta lissues (Photo courtesy of Getty Images)
A new study suggests that ultrasound wave reflections in the umbilical artery (UA) can predict fetal placental circulation problems.
Researchers at the Hospital for Sick Children (Toronto, Canada), Memorial University of Newfoundland (MUN; St. John’s, Canada), Mount Sinai Hospital (Toronto, Canada), and other institutions conducted a study involving 241 pregnant women between the 26th and 32nd weeks of pregnancy. Standard clinical Doppler ultrasound of the UA was performed, and using a computational procedure, the Doppler waveforms were decomposed into a pair of forward and backward propagating waves.
The results included 36 women whom were diagnosed with maternal vascular malperfusion (MVM) and 16 with fetal vascular malperfusion (FVM), with wave reflections were significantly elevated in women with either MVM or FVM pathology. In contrast, standard umbilical and uterine artery pulsatility indices were only elevated in the MVM group, and there were no differences between women with FVM and controls. After the women gave birth, the diagnoses were verified by to physical examination of the placentas delivered. The study was published on May 4, 2021, in eBioMedicine.
“Measurement of wave reflections in the UA, combined with standard clinical ultrasound parameters, has the potential to improve the diagnostic performance of UA Doppler to detect placental vascular pathology,” concluded senior author John Sled, PhD, of The Hospital for Sick Children in Toronto, and colleagues. “Identifying women with FVM pathology is particularly challenging prenatally and future investigations will determine if women at risk of this specific placental disease could benefit from this novel diagnostic technique.”
Placental pathology is present in over half of cases of fetal growth restriction and stillbirth, with MVM the most common placental disorder. FVM is a less common, but is much more difficult to diagnose prenatally, and is almost always only recognized by pathological examination. This may be because the underlying intermittent umbilical cord obstruction is only loosely associated with cord hyper-coiling, and routine ultrasounds do not search for evidence of umbilical cord disease.
Related Links:
Hospital for Sick Children
Memorial University of Newfoundland
Mount Sinai Hospital
Researchers at the Hospital for Sick Children (Toronto, Canada), Memorial University of Newfoundland (MUN; St. John’s, Canada), Mount Sinai Hospital (Toronto, Canada), and other institutions conducted a study involving 241 pregnant women between the 26th and 32nd weeks of pregnancy. Standard clinical Doppler ultrasound of the UA was performed, and using a computational procedure, the Doppler waveforms were decomposed into a pair of forward and backward propagating waves.
The results included 36 women whom were diagnosed with maternal vascular malperfusion (MVM) and 16 with fetal vascular malperfusion (FVM), with wave reflections were significantly elevated in women with either MVM or FVM pathology. In contrast, standard umbilical and uterine artery pulsatility indices were only elevated in the MVM group, and there were no differences between women with FVM and controls. After the women gave birth, the diagnoses were verified by to physical examination of the placentas delivered. The study was published on May 4, 2021, in eBioMedicine.
“Measurement of wave reflections in the UA, combined with standard clinical ultrasound parameters, has the potential to improve the diagnostic performance of UA Doppler to detect placental vascular pathology,” concluded senior author John Sled, PhD, of The Hospital for Sick Children in Toronto, and colleagues. “Identifying women with FVM pathology is particularly challenging prenatally and future investigations will determine if women at risk of this specific placental disease could benefit from this novel diagnostic technique.”
Placental pathology is present in over half of cases of fetal growth restriction and stillbirth, with MVM the most common placental disorder. FVM is a less common, but is much more difficult to diagnose prenatally, and is almost always only recognized by pathological examination. This may be because the underlying intermittent umbilical cord obstruction is only loosely associated with cord hyper-coiling, and routine ultrasounds do not search for evidence of umbilical cord disease.
Related Links:
Hospital for Sick Children
Memorial University of Newfoundland
Mount Sinai Hospital
Latest Ultrasound News
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
- Pain-Free Breast Imaging System Performs One Minute Cancer Scan
- Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
- New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
- New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
- AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
- AI Identifies Heart Valve Disease from Common Imaging Test
- Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
- Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Channels
Radiography
view channel
Routine Mammograms Could Predict Future Cardiovascular Disease in Women
Mammograms are widely used to screen for breast cancer, but they may also contain overlooked clues about cardiovascular health. Calcium deposits in the arteries of the breast signal stiffening blood vessels,... Read more
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read moreMRI
view channel
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... Read more
New Algorithm Dramatically Speeds Up Stroke Detection Scans
When patients arrive at emergency rooms with stroke symptoms, clinicians must rapidly determine whether the cause is a blood clot or a brain bleed, as treatment decisions depend on this distinction.... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







 Guided Devices.jpg)