A computerized diagnostic system for the interpretation of umbilical artery blood flow velocity waveforms
Open accessAbstract
Objective Development of an artificial intelligent diagnostic system for the interpretation of umbilical artery blood flow velocity waveform measurements.Study design Study design comprised several stages including data acquisition, image processing and analysis, training of artificial neural network and testing the predictive value of the system. The clinical material was handled in two groups. The training group consisted of 952 umbilical artery blood flow velocity waveform images of 174 normal pregnancies with normal outcome, while the testing group was composed of 138 images derived from 20 normal pregnancies with normal outcome and 68 images of 16 high risk pregnancies with poor outcome. All subjects were evaluated by Doppler ultrasonography and umbilical artery blood flow velocity waveform images were transferred to the computer environment by means of a special data acquisition system. Automated image processing and analysis were performed to derive indices such as A/B ratio, resistance index, pulse related index, area ratio of wave and angle of coincident slopes. We have used a supervised artificial neural network (back propagation learning algorithm) to develop an intelligent diagnostic system which is called the BOLU system.Results This version of the system was trained with the umbilical artery blood flow velocity waveform images of normal pregnancies. Thus, the BOLU system decides whether the tested image is normal for a given gestational week or not. The specificity and sensitivity of this system were estimated to be 98.6% and 51.5% respectively.Conclusion We have developed an artificial intelligent diagnostic system for the interpretation of umbilical artery blood flow velocity waveform measurements. Waveform indices were obtained automatically by image processing and analysis. The predictive value of the system was found to be satisfactory.
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Beksaç et al. and Baykal et al. presented an automated diagnostic, interpretation, and classification method to analyze umbilical artery blood flow Doppler US images.
“In the earliest studies included in this review, Beksaç et al. and Baykal et al. presented an automated diagnostic, interpretation, and classification method to analyze umbilical artery blood flow Doppler US images [124,125,126].”
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Cites
Kohonen, T. (1990) · Proceedings of the IEEE · doi:10.1109/5.58325 · Cited by 8,414 · see citing works
Fetal umbilical artery flow velocity waveforms and placental resistance: clinical significance
Trudinger, B., Giles, W. B., Cook, C. M., Bombardieri, J., & Collins, L. T. (1985) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1985.tb01044.x · Cited by 559 · see citing works
Wladimiroff, J. W., van den Wijngaard, J. A. G. W., Degani, S., Noordam, M. J., van Eyck, J., & Tonge, H. M. (1987) · PubMed · Cited by 348 · see citing works
Review of neural network applications in medical imaging and signal processing
Miller, A. S., Blott, B. H., & Hames, T. K. (1992) · Medical & Biological Engineering & Computing · doi:10.1007/bf02457822 · Cited by 329 · see citing works
Doppler ultrasound waveform indices: A/B ratio, pulsatility index and Pourcelot ratio
Thompson, R. S., Trudinger, B., & Cook, C. M. (1988) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1988.tb09487.x · Cited by 191 · see citing works
Thompson, R. S., & Trudinger, B. (1990) · Ultrasound in Medicine & Biology · doi:10.1016/0301-5629(90)90167-b · Cited by 155 · see citing works
Thompson, R. S., Trudinger, B., & COOK, C. M. (1986) · Ultrasound in Medicine & Biology · doi:10.1016/0301-5629(86)90001-3 · Cited by 83 · see citing works
A critical appraisal of fetal surveillance
Owen, P., & Patel, N. B. (1994) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/0028-2243(94)90057-4 · Cited by 81 · see citing works
Doppler ultrasound waveforms in the fetal umbilical artery: Quantitative analysis technique
Thompson, R. S., Trudinger, B., & COOK, C. M. (1985) · Ultrasound in Medicine & Biology · doi:10.1016/0301-5629(85)90104-8 · Cited by 67 · see citing works
Critical Appraisal of Fetal Surveillance
van Geijn, H. P., & Copray, F. J. A. (1994) · Medical Entomology and Zoology · Cited by 64 · see citing works
Blood Velocity Waveforms of the Fetal Aorta in Normal and Hypertensive Pregnancies
Jouppila, P. I., & Kirkinen, P. P. (1986) · Obstetrics and Gynecology · doi:10.1097/00006250-198606000-00023 · Cited by 55 · see citing works
Maulik, D., Yarlagadda, P. K. D. V., Youngblood, J. P., & Ciston, P. (1990) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(90)90915-t · Cited by 52 · see citing works
Components of variability of umbilical arterial Doppler velocimetry-A prospective analysis
Maulik, D., Yarlagadda, A., Youngblood, J. P., & Willoughby, L. (1989) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(89)90862-4 · Cited by 49 · see citing works
Prenatal surveillance using nonstress testing and Doppler velocimetry.
Farmakides, G., Schulman, H., Winter, D., Ducey, J., Guzmán, E., & Penny, B. (1988) · PubMed · Cited by 41 · see citing works
Mulders, L. G. M., Wijn, P. F. F., Jongsma, H. W., & Hein, P. R. (1987) · Journal of Perinatal Medicine · doi:10.1515/jpme.1987.15.1.3 · Cited by 27 · see citing works
Brar, H. S., Medearis, A. L., DeVore, G. R., & Piatt, L. D. (1989) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(89)90449-3 · Cited by 20 · see citing works
Characteristics of the Umbilical Artery Velocity Waveform as Function of Measurement Site
Ruissen, C. J., Drongelen, M. M. H. P. V., Hoogland, H. J., Jäger, W., & Hoeks, A. P. G. (2010) · Gynecologic and Obstetric Investigation · doi:10.1159/000293272 · Cited by 13 · see citing works
Daily variability of umbilical and lateral uterine wall artery blood velocity waveform measurements
Hastie, S. J., Howie, C., Whittle, M. J., & Rubin, P. C. (1988) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1988.tb09485.x · Cited by 13 · see citing works
Medical diagnostic systems: a case for neural networks
Schizas, C. N., Pattichis, C. S., & Bonsett, C. A. (1994) · Technology and Health Care · doi:10.3233/thc-1994-2101 · Cited by 10 · see citing works
PERINATAL COMPUTING IN 1987: AN OVERVIEW
Sokol, R. J., & Zador, I. E. (1987) · Journal of Perinatal Medicine · doi:10.1515/jpme.1987.15.s1.5 · Cited by 2 · see citing works
Flagged first, then by citations
2 of the 22 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Maulik D, Yarlagadda P, Youngblood JP, Willoughby L. Com- ponents of variability of umbilical arterial Doppler velocimetry. Am J Obstet Gynecol 1989; 160: 1406-1412.
Cited by
Sorted by citations
Davidson, L., & Boland, M. R. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa369 · Cited by 127 · see citing works
Uğuz, H. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9446-7 · Cited by 115 · see citing works
Übeylı, E. D., & Güler, İ. (2003) · Expert Systems with Applications · doi:10.1016/s0957-4174(03)00002-2 · Cited by 70 · see citing works
Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network
Güler, İ., & Übeylı, E. D. (2003) · Computers in Biology and Medicine · doi:10.1016/s0010-4825(03)00011-8 · Cited by 68 · see citing works
Jost, E., Kosian, P., Jimenez Cruz, J., Albarqouni, S., Gembruch, U., Strizek, B., & Recker, F. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12216833 · Cited by 44 · see citing works
Wavelet-based neural network analysis of ophthalmic artery Doppler signals
Güler, N. F., & Übeylı, E. D. (2003) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2003.09.001 · Cited by 28 · see citing works
Computerized prediction system for the route of delivery (vaginal birth versus cesarean section)
Beksaç, M. S., Tanaçan, A., Bacak, H. O., & Leblebi̇ci̇oğlu, K. (2018) · Journal of Perinatal Medicine · doi:10.1515/jpm-2018-0022 · Cited by 21 · see citing works
Detection of Carotid Artery Disease by Using Learning Vector Quantization Neural Network
Uğuz, H. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9498-8 · Cited by 16 · see citing works
Güler, İ., & Übeylı, E. D. (2004) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2003.12.007 · Cited by 14 · see citing works
Classification of internal carotid artery Doppler signals using fuzzy discrete hidden Markov model
Uğuz, H., & Kodaz, H. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.12.084 · Cited by 10 · see citing works
Antenatal fetal risk assessment using a neurofuzzy technique
Gürgen, F. S., Güler, N., & Varol, F. G. (2001) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.982288 · Cited by 9 · see citing works
Beksaç, M. S., Egemen, A., izzetoǵlu, K., Ergün, G., & Erkmen, A. M. (1996) · European Journal of Radiology · doi:10.1016/0720-048x(96)01067-4 · Cited by 8 · see citing works
Self-citationGüler, İ., & Übeylı, E. D. (2005) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2005.05.004 · Cited by 8 · see citing works
Wavelet-Based Neural Network Analysis of Internal Carotid Arterial Doppler Signals
Übeylı, E. D., & Güler, İ. (2006) · Journal of Medical Systems · doi:10.1007/s10916-005-7992-1 · Cited by 8 · see citing works
Antenatal fetal risk assessment by blood-flow velocity waveforms
Varol, F. G., Güler, N., & Gürgen, F. S. (2000) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.887251 · Cited by 8 · see citing works
Computerized hybrid decision-making system for hormone replacement therapy in menopausal women
Bacak, H. O., Leblebi̇ci̇oğlu, K., Tanaçan, A., & Beksaç, M. S. (2018) · Technology and Health Care · doi:10.3233/thc-181235 · Cited by 4 · see citing works
Discriminant functions and decision tree induction techniques for antenatal fetal risk assessment
Güler, N., Yıldız, O. T., Gürgen, F. S., Varol, F. G., & Alpaydın, E. (2002) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2001.938801 · Cited by 3 · see citing works
Doherty, D. A., JAMES, I. R., & Newnham, J. P. (2002) · Ultrasound in Medicine & Biology · doi:10.1016/s0301-5629(02)00574-4 · Cited by 3 · see citing works
Katlan, D. C., Tanaçan, A., Örgül, G., Leblebi̇ci̇oğlu, K., & Beksaç, M. S. (2018) · Gynecology Obstetrics and Reproductive Medicine · doi:10.21613/gorm.2018.798 · Cited by 2 · see citing works
Neural network analysis of ophthalmic arterial doppler signals with Uveitis disease
Güler, İ., & Übeylı, E. D. (2005) · Neural Computing and Applications · doi:10.1007/s00521-005-0473-0 · Cited by 2 · see citing works
Güler, N., Gürgen, F. S., & Varol, F. G. (2002) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2001.938799 · Cited by 1 · see citing works
Application of FFT-Analyzed Umbilical Artery Doppler Signals to Fuzzy Algorithm
Hardalaç, F., Bırı, A., & Sucak, A. (2004) · Journal of Medical Systems · doi:10.1023/b:joms.0000044957.91060.f5
Beksaç, M. S., Tanaçan, A., & Leblebicioglu, K. (2021) · Obstetrica şi Ginecologia · doi:10.26416/obsgin.69.4.2021.5770
- Authors
- Beksaç, M. S., Başaran, F., Eskiizmirliler, S., Erkmen, A. M., & Yörükan, S.
- Affiliations
- Middle East Technical University (TR)
- Venue
- European Journal of Obstetrics & Gynecology and Reproductive Biology
- Publisher
- Elsevier BV
- Published
- 1996-01
- Volume
- 64
- Issue
- 1
- Pages
- 37-42
- ISSN
- 0028-2243 (ISSN-L)
- 0301-2115
- OpenAlex
- W2010736162
- Cited by
- 23
- References
- 22
- Citations by year
- 2023: 1 · 2021: 1 · 2020: 1 · 2018: 3
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Obstetrics & Gynecology and Reproductive Biology (publishedVersion)
- PubMed (publishedVersion)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- Doppler ultrasound, artificial neural networks, fetal growth restriction, high-risk pregnancy, resistance index, A/B ratio, fetal biophysical profile
- MeSH terms
- Blood Flow Velocity, Female, Humans, Image Interpretation, Computer-Assisted, Pregnancy, Umbilical Arteries, Neural Networks, Computer, Ultrasonography, Doppler
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