Comparative analysis of the accuracy of ultrasonography and magnetic resonance imaging in estimating fetal weight
- Авторлар: Syrkashev E.M.1, Nikolaeva A.V.1, Stoliarova E.V.1, Kholin A.M.1, Gorina K.A.1, Kesova M.I.1, Baev O.R.1,2, Kan N.E.1, Gus A.I.1,3
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Мекемелер:
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
- I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia (Sechenov University), Moscow, Russia
- Patrice Lumumba Peoples' Friendship University of Russia
- Шығарылым: № 9 (2025)
- Беттер: 82-88
- Бөлім: Original Articles
- URL: https://journals.eco-vector.com/0300-9092/article/view/691932
- DOI: https://doi.org/10.18565/aig.2025.152
- ID: 691932
Дәйексөз келтіру
Аннотация
Objective: To compare the accuracy of ultrasonography (USG) and magnetic resonance imaging (MRI) in determining estimated fetal weight (EFW).
Materials and methods: This prospective study included 103 pregnant women who underwent both MRI and USG before delivery. The EFW based on MRI data was calculated using the formula by Baker et al., while the EFW based on USG data was calculated using the Hadlock et al. formula. The EFW values were assessed using absolute measurements and on a percentile scale (INTERGROWTH-21st).
Results: The correlation coefficient between EFW based on USG data and the newborn's birth weight was 0.831 (p<0.001), while for MRI, it was 0.941 (p<0.001). The mean absolute error (MAE) of EFW in absolute values for USG was 145.68 (427.42) g, and for MRI, it was 117.83 (221.98) g, on a percentile scale, the MAE for USG was 4.17 (15.68), for MRI, it was 3.16 (7.03). The correlation coefficient between EFW above the 90th percentile was 0.374 (p=0.041) for USG and 0.855 (p<0.001) for MRI. The MAE for determining EFW (>90th percentile) was 173.93 (432.16) g for USG and 122.0 (202.82) g for MRI. On a percentile scale, the MAE was 0.38 (6.07) for USG and 0.76 (2.56) for the MRI. The area under the curve (ROC AUC) for identifying cases with birth weights > 4000 g was 0.916 (95% CI: 0.860–0.973) for USG and 0.986 (95% CI: 0.967–1.000) for MRI.
Conclusion: EFW determination based on MRI data is more accurate than that based on USG data, with the most significant differences noted in cases of fetal macrosomia. Developing machine learning algorithms is essential to reduce the time required for segmenting areas of interest, thereby enhancing the role of artificial intelligence in automating the EFW determination processes. Further research is necessary to establish the optimal timing and indications for using MRI as an additional method for determining the EFW.
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Авторлар туралы
Egor Syrkashev
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Хат алмасуға жауапты Автор.
Email: e_syrkashev@oparina4.ru
ORCID iD: 0000-0003-4043-907X
PhD, Senior Researcher at the Radiology Department
Ресей, 117997, Moscow, Ac. Oparin str., 4Anastasia Nikolaeva
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Email: a_nikolaeva@oparina4.ru
ORCID iD: 0000-0002-0012-6688
PhD, Chief Physician
Ресей, 117997, Moscow, Ac. Oparin str., 4Elizaveta Stoliarova
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Email: ev_stolyarova@oparina4.ru
ORCID iD: 0009-0001-2049-3119
PhD student, 1st Obstetric Department of Pregnancy Pathology
Ресей, 117997, Moscow, Ac. Oparin str., 4Alexey Kholin
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Email: a_kholin@oparina4.ru
ORCID iD: 0000-0002-4068-9805
PhD, Head of the Department of Telemedicine
Ресей, 117997, Moscow, Ac. Oparin str., 4Ksenia Gorina
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Email: k_gorina@oparina4.ru
ORCID iD: 0000-0001-6266-2067
PhD, Junior Researcher at the 1 Department of Obstetric Pathology of Pregnancy
Ресей, 117997, Moscow, Ac. Oparin str., 4Marina Kesova
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Email: m_kesova@oparina4.ru
ORCID iD: 0000-0001-7764-8073
Dr. Med. Sci., Senior Researcher at the Obstetric Department
Ресей, 117997, Moscow, Ac. Oparin str., 4Oleg Baev
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia; I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia (Sechenov University), Moscow, Russia
Email: o_baev@oparina4.ru
ORCID iD: 0000-0001-8572-1971
Dr. Med. Sci., Professor, Head of the 1st Maternity Department, Professor at the Department of Obstetrics, Gynecology, Perinatology, and Reproductology
Ресей, 117997, Moscow, Ac. Oparin str., 4; 119991, Moscow, Trubetskaya str., 8-2Natalia Kan
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia
Email: kan-med@mail.ru
ORCID iD: 0000-0001-5087-5946
Dr. Med. Sci., Professor, Deputy Director for Science
Ресей, 117997, Moscow, Ac. Oparin str., 4Aleksandr Gus
Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of the Russia; Patrice Lumumba Peoples' Friendship University of Russia
Email: a_gus@oparina4.ru
ORCID iD: 0000-0003-1377-3128
Dr. Med. Sci., Professor, Chief Researcher at the Department of Ultrasound and Functional Diagnostics, Head of the Department of Ultrasound Diagnostics, Medical Institute
Ресей, 117997, Moscow, Ac. Oparin str., 4; 127015, Moscow, Pistsovaya str., 10Әдебиет тізімі
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