Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Included Literature
3.2. Applications in Obstetrics
3.2.1. Fetal Biometry
- Equipment-related factors: Especially in hospital settings, repeated examinations may be performed with different US machines, resulting in heterogenous data. Furthermore, image quality depends on resource availability and access to high-end US devices [17], or the use of point-of-care devices [18].
- Patient-related factors: Maternal obesity is known to have an impact on image quality and visualization of the fetus, and thus limits the accuracy of obstetric US examinations [19].
3.2.2. Fetal Echocardiography
3.2.3. Fetal Neurosonography
3.2.4. Fetal Face
3.2.5. Placenta and Umbilical Cord
3.2.6. Fetal Malformations
First Trimester Scan
Second Trimester Scan
3.2.7. Prediction of Gestational Age
3.2.8. Workflow Analysis of Obstetric Ultrasound Scans
3.2.9. Other Applications in Obstetrics
Fetal Lung Maturation
Maternal Factors
Early Pregnancy
Intrapartum Sonography
Image Quality
Miscellaneous
3.3. Applications in Gynecology
3.3.1. Adnexal Masses
3.3.2. Breast Masses
3.3.3. Endometrium
3.3.4. Pelvic Floor
3.3.5. Other Applications in Gynecology
Endometriosis
Uterine Fibroids
Premature Ovarian Failure
Follicle Tracking
Ectopic Pregnancy
4. Discussion
4.1. Benefits
4.2. Limitations
4.3. Strengths and Limitations of This Review
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
2/3/4/5D | Two/three/four/five-dimensional |
4CV | Four-chamber view |
AC | Abdominal circumference |
AI | Artificial intelligence |
CHD | Congenital heart disease |
CRL | Crown-rump-length |
CT | Computed tomography |
FINE | Fetal intelligent navigation echocardiography |
GA | Gestational age |
HC | Head circumference |
ISUOG | International Society of Ultrasound in Obstetrics & Gynecology |
MRI | Magnetic resonance imaging |
NT | Nuchal translucency |
OB/GYN | Obstetrics and gynecology |
ROI | Region of interest |
US | Ultrasound |
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PICOS Search Tool Headings for Literature Evaluation | |
---|---|
Participants | Examiner: Healthcare professionals in OB/GYN or radiology, AI specialists Patients: Healthy pregnant and non-pregnant women or women with any gynecological or obstetric disease/complication, OB/GYN training models |
Intervention or Exposure | AI-assisted US applications |
Comparison | Comparison of AI US algorithms to human US examiners or another AI algorithm |
Outcome | Fields of AI applications in OB/GYN US imaging, benefits and limitations of AI usage, future aspects for emerging fields of applications |
Study type | Published literature of any design, excluding trial protocols and reviews |
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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Jost, E.; Kosian, P.; Jimenez Cruz, J.; Albarqouni, S.; Gembruch, U.; Strizek, B.; Recker, F. Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology. J. Clin. Med. 2023, 12, 6833. https://doi.org/10.3390/jcm12216833
Jost E, Kosian P, Jimenez Cruz J, Albarqouni S, Gembruch U, Strizek B, Recker F. Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology. Journal of Clinical Medicine. 2023; 12(21):6833. https://doi.org/10.3390/jcm12216833
Chicago/Turabian StyleJost, Elena, Philipp Kosian, Jorge Jimenez Cruz, Shadi Albarqouni, Ulrich Gembruch, Brigitte Strizek, and Florian Recker. 2023. "Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology" Journal of Clinical Medicine 12, no. 21: 6833. https://doi.org/10.3390/jcm12216833