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2017 | 17 | 68 | 23–29
Article title

Fetal biometric parameters: Reference charts for a non-selected risk population from Uberaba, Brazil

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PL
Parametry biometryczne płodu: wykresy odniesienia dla nieselektywnej populacji ryzyka z Uberaby w Brazylii
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EN
Abstracts
EN
Objective: To establish reference charts for fetal biometric parameters in a non-selected risk population from Uberaba, Southeast of Brazil. Methods: A retrospective cross-sectional study was performed among 5656 non-selected risk singleton pregnant women between 14 and 41 weeks of gestation. The ultrasound exams were performed during routine visits of second and third trimesters. Biparietal diameter (BPD) was measured at the level of the thalami and cavum septi pellucidi. Head circumference (HC) was calculated by the following formula: HC = 1.62*(BPD + occipital frontal diameter, OFD). Abdominal circumference (AC) was measured using the following formula: AC = (anteroposterior diameter + transverse abdominal diameter) × 1.57. Femur diaphysis length (FDL) was obtained in the longest axis of femur without including the distal femoral epiphysis. The estimated fetal weight (EFW) was obtained by the Hadlock formula. Polynomial regressions were performed to obtain the best-fit model for each fetal biometric parameter as the function of gestational age (GA). Results: The mean, standard deviations (SD), minimum and maximum of BPD (cm), HC (cm), AC (cm), FDL (cm) and EFW (g) were 6.9 ± 1.9 (2.3 – 10.5), 24.51 ± 6.61 (9.1 – 36.4), 22.8 ± 7.3 (7.5 – 41.1), 4.9 ± 1.6 (1.2 – 8.1) and 1365 ± 1019 (103 – 4777), respectively. Second-degree polynomial regressions between the evaluated parameters and GA resulted in the following formulas: BPD = –4.044 + 0.540 × GA – 0.0049 × GA² (R² = 0.97); HC= –15.420 + 2.024 GA – 0.0199 × GA² (R² = 0.98); AC = –9.579 + 1.329 × GA – 0.0055 × GA² (R² = 0.97); FDL = –3.778 + 0.416 × GA – 0.0035 × GA² (R² = 0.98) and EFW = 916 – 123 × GA + 4.70 × GA² (R² = 0.96); respectively. Conclusion: Reference charts for the fetal biometric parameters in a non-selected risk population from Uberaba, Southeast of Brazil, were established.
PL
Rozmiar płodu oraz trajektorie jego rozwoju są waż- nymi wskaźnikami zdrowia płodu, a najważniejszym standardem jest prenatalne badanie ultrasonograficzne. Zaburzenia rozwoju płodu zazwyczaj identyfikuje się na podstawie rozbieżności pomiędzy faktycznymi a oczekiwanymi miarami biometrycznymi dla określonego wieku ciążowego(1). Rutynowe badanie USG, bez opcji dopplerowskiej, w 3. trymestrze zwiększa stopień wykrywalności zarodków ma- łych jak na wiek ciążowy (small for gestational age, SGA) z 46 do 80% oraz zarodków dużych jak na wiek ciążowy (large for gestational age, LGA) z 36 do 91%, jak udowodniono w badaniach randomizowanych(2). W późnym 3. trymestrze (34.–37. tydzień) USG znacznie zwiększa stopień wykrywalności SGA i LGA (odpowiednio do 75,2% i 63,2%)(3). Krótkoterminowe wyniki płodu SGA i LGA kojarzone są z porażeniem mózgowym, hipoglikemią, hiperbilirubinemią, nadkrwistością lub dystocją(4,5). Wyniki długoterminowe u tych płodów kojarzone są z wysokim ryzykiem ciśnienia tętniczego, cukrzycy i choroby wieńcowej(6). Artykuł w wersji polskojęzycznej jest dostępny na stronie http://jultrason.pl/wydawnictwa/volume-17-no-68
Discipline
Year
Volume
17
Issue
68
Pages
23–29
Physical description
Contributors
  • Mario Palmério University Hospital – University of Uberaba (Uniube), Uberaba-MG, Brazil; Radiologic Clinic of Uberaba (CRU), Uberaba-MG, Brazil
  • Mario Palmério University Hospital – University of Uberaba (Uniube), Uberaba-MG, Brazil; Radiologic Clinic of Uberaba (CRU), Uberaba-MG, Brazil
  • Mario Palmério University Hospital – University of Uberaba (Uniube), Uberaba-MG, Brazil
  • Department of Obstetrics and Gynecology, Ribeirão Preto Medical School, University of São Paulo (DGO-FMRP-USP), Ribeirão Preto-SP, Brazil
  • Department of Obstetrics, Paulista School of Medicine – Federal University of São Paulo (EPM-UNIFESP), São Paulo-SP, Brazil
References
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Document Type
article
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Identifiers
YADDA identifier
bwmeta1.element.psjd-06c4fbae-c30f-4ec4-a4e3-1df17ae79c51
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