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Zwitser",slug:"eline-w.-zwitser"}]},{id:"23740",title:"Future Applications of Electronic-Nose Technologies in Healthcare and Biomedicine",slug:"future-applications-of-electronic-nose-technologies-in-healthcare-and-biomedicine",signatures:"Alphus Dan Wilson",authors:[{id:"40680",title:"Dr",name:"Alphus",middleName:"Dan",surname:"Wilson",fullName:"Alphus Wilson",slug:"alphus-wilson"}]},{id:"23741",title:"Quality Assurance and Quality Control of Equipment in Diagnostic Radiology Practice-The Ghanaian Experience",slug:"quality-assurance-and-quality-control-of-equipment-in-diagnostic-radiology-practice-the-ghanaian-exp",signatures:"Stephen Inkoom, Cyril Schandorf, Geoffrey Emi-Reynolds and John Justice Fletcher",authors:[{id:"48333",title:"Mr",name:"Stephen",middleName:null,surname:"Inkoom",fullName:"Stephen Inkoom",slug:"stephen-inkoom"},{id:"55912",title:"Prof.",name:"Cyril",middleName:null,surname:"Schandorf",fullName:"Cyril Schandorf",slug:"cyril-schandorf"},{id:"55913",title:"Prof.",name:"Geoffrey",middleName:null,surname:"Emi-Reynolds",fullName:"Geoffrey Emi-Reynolds",slug:"geoffrey-emi-reynolds"},{id:"55914",title:"Prof.",name:"John",middleName:null,surname:"Fletcher",fullName:"John Fletcher",slug:"john-fletcher"}]},{id:"23742",title:"Pressure-Sensitive Adhesives for Medical Applications",slug:"pressure-sensitive-adhesives-for-medical-applications",signatures:"Zbigniew Czech and Agnieszka Kowalczyk",authors:[{id:"53922",title:"Prof.",name:"Zbigniew",middleName:null,surname:"Czech",fullName:"Zbigniew Czech",slug:"zbigniew-czech"},{id:"94549",title:"Dr.",name:"Agnieszka",middleName:null,surname:"Kowalczyk",fullName:"Agnieszka Kowalczyk",slug:"agnieszka-kowalczyk"},{id:"94550",title:"Dr.",name:"Jolanta",middleName:null,surname:"Swiderska",fullName:"Jolanta Swiderska",slug:"jolanta-swiderska"}]},{id:"23743",title:"The Role of Empirical Rheology in Flour Quality Control",slug:"the-role-of-empirical-rheology-in-flour-quality-control",signatures:"Tamara Dapčević Hadnađev, Milica Pojić, Miroslav Hadnađev and Aleksandra Torbica",authors:[{id:"55755",title:"MSc",name:"Tamara",middleName:null,surname:"Dapčević Hadnađev",fullName:"Tamara Dapčević Hadnađev",slug:"tamara-dapcevic-hadnadjev"},{id:"55801",title:"Dr.",name:"Milica",middleName:null,surname:"Pojić",fullName:"Milica Pojić",slug:"milica-pojic"},{id:"55802",title:"MSc.",name:"Miroslav",middleName:null,surname:"Hadnađev",fullName:"Miroslav Hadnađev",slug:"miroslav-hadnadjev"},{id:"55803",title:"Dr.",name:"Aleksandra",middleName:null,surname:"Torbica",fullName:"Aleksandra Torbica",slug:"aleksandra-torbica"}]},{id:"23744",title:"Sensory Analysis in Quality Control: The Gin as an Example",slug:"sensory-analysis-in-quality-control-the-gin-as-an-example",signatures:"Montserrat Riu Aumatell",authors:[{id:"43906",title:"Dr.",name:"Montserrat",middleName:null,surname:"Riu-Aumatell",fullName:"Montserrat Riu-Aumatell",slug:"montserrat-riu-aumatell"}]},{id:"23745",title:"Spectral Imaging as a Tool in Food Research and Quality Monitoring of Food Production",slug:"spectral-imaging-as-a-tool-in-food-research-and-quality-monitoring-of-food-production",signatures:"Stina Frosch, Bjørn Skovlund Dissing, Jens Adler-Nissen and Michael Engelbrecht Nielsen",authors:[{id:"55298",title:"Dr.",name:"Stina",middleName:null,surname:"Frosch",fullName:"Stina Frosch",slug:"stina-frosch"},{id:"55301",title:"Dr.",name:"Michael",middleName:null,surname:"Engelbrecth Nielsen",fullName:"Michael Engelbrecth Nielsen",slug:"michael-engelbrecth-nielsen"},{id:"55302",title:"Prof.",name:"Jens",middleName:null,surname:"Adler-Nissen",fullName:"Jens Adler-Nissen",slug:"jens-adler-nissen"},{id:"118120",title:"MSc.",name:"Bjørn Skovlund",middleName:null,surname:"Dissing",fullName:"Bjørn Skovlund Dissing",slug:"bjorn-skovlund-dissing"}]},{id:"23746",title:"Mass Rearing and Quality Control Parameters for Tephritid Fruit Flies of Economic Importance in Africa",slug:"mass-rearing-and-quality-control-parameters-for-tephritid-fruit-flies-of-economic-importance-in-afri",signatures:"Sunday Ekesi and Samira A. Mohamed",authors:[{id:"42713",title:"Dr.",name:"Sunday",middleName:null,surname:"Ekesi",fullName:"Sunday Ekesi",slug:"sunday-ekesi"},{id:"53233",title:"Dr.",name:"Samira",middleName:null,surname:"Mohamed",fullName:"Samira Mohamed",slug:"samira-mohamed"}]},{id:"23747",title:"Quality Control of Baculoviral Bioinsecticide Production",slug:"quality-control-of-baculoviral-bioinsecticide-production",signatures:"Solange Ana Belén Miele, Mariano Nicolás Belaich and Pablo Daniel Ghiringhelli",authors:[{id:"52118",title:"Dr.",name:"Pablo Daniel",middleName:null,surname:"Ghiringhelli",fullName:"Pablo Daniel Ghiringhelli",slug:"pablo-daniel-ghiringhelli"},{id:"54727",title:"Mrs.",name:"Solange Ana Belen",middleName:null,surname:"Miele",fullName:"Solange Ana Belen Miele",slug:"solange-ana-belen-miele"},{id:"54728",title:"Dr.",name:"Mariano Nicolas",middleName:null,surname:"Belaich",fullName:"Mariano Nicolas Belaich",slug:"mariano-nicolas-belaich"}]},{id:"23748",title:"Quality Control and Characterization of Scintillating Crystals for High Energy Physics and Medical Applications",slug:"quality-control-and-characterization-of-scintillating-crystals-for-high-energy-physics-and-medical-a",signatures:"Daniele Rinaldi, Michel Lebeau, Nicola Paone, Lorenzo Scalise and Paolo Pietroni",authors:[{id:"49866",title:"Ph.D.",name:"Lorenzo",middleName:null,surname:"Scalise",fullName:"Lorenzo Scalise",slug:"lorenzo-scalise"},{id:"54920",title:"Prof.",name:"Daniele",middleName:null,surname:"Rinaldi",fullName:"Daniele Rinaldi",slug:"daniele-rinaldi"},{id:"59026",title:"Dr.",name:"Michel",middleName:null,surname:"Lebeau",fullName:"Michel Lebeau",slug:"michel-lebeau"},{id:"59027",title:"Prof.",name:"Nicola",middleName:null,surname:"Paone",fullName:"Nicola Paone",slug:"nicola-paone"},{id:"78731",title:"Dr.",name:"Paolo",middleName:null,surname:"Pietroni",fullName:"Paolo Pietroni",slug:"paolo-pietroni"}]},{id:"23749",title:"Effect of Last Generation Additives on the Concrete Durability",slug:"effect-of-last-generation-additives-on-the-concrete-durability",signatures:"Ana M. Carvajal, M. Soledad Gómez, Pablo Maturana and Raul Molina",authors:[{id:"42072",title:"Prof.",name:"Ana",middleName:"MarÃa",surname:"Carvajal",fullName:"Ana Carvajal",slug:"ana-carvajal"},{id:"42100",title:"Prof.",name:"Pablo",middleName:null,surname:"Maturana",fullName:"Pablo Maturana",slug:"pablo-maturana"},{id:"84065",title:"Prof.",name:"Soledad",middleName:null,surname:"Gomez",fullName:"Soledad Gomez",slug:"soledad-gomez"},{id:"84067",title:"Mr.",name:"Raul",middleName:null,surname:"Molina",fullName:"Raul Molina",slug:"raul-molina"}]},{id:"23750",title:"A Convenient and Inexpensive Quality Control Method for Examining the Accuracy of Conjugate Cam Profiles",slug:"a-convenient-and-inexpensive-quality-control-method-for-examining-the-accuracy-of-conjugate-cam-prof",signatures:"Wen-Tung Chang and Long-Iong Wu",authors:[{id:"43114",title:"Prof.",name:"Wen-Tung",middleName:null,surname:"Chang",fullName:"Wen-Tung Chang",slug:"wen-tung-chang"},{id:"51808",title:"Prof.",name:"Long-Iong",middleName:null,surname:"Wu",fullName:"Long-Iong Wu",slug:"long-iong-wu"}]},{id:"23751",title:"Material Characterization and Failure Analysis for Microelectronics Assembly Processes",slug:"material-characterization-and-failure-analysis-for-microelectronics-assembly-processes",signatures:"Chien-Yi Huang, Ming-Shu Li, Shan-Yu Huang, Cheng-I Chang and Min-Hui Huang",authors:[{id:"52412",title:"Dr.",name:"Ming-Shu",middleName:null,surname:"Li",fullName:"Ming-Shu Li",slug:"ming-shu-li"},{id:"52426",title:"Prof.",name:"Chien-Yi",middleName:"Jay",surname:"Huang",fullName:"Chien-Yi Huang",slug:"chien-yi-huang"},{id:"98841",title:"MSc.",name:"Cheng-I",middleName:null,surname:"Chang",fullName:"Cheng-I Chang",slug:"cheng-i-chang"},{id:"98978",title:"BSc.",name:"Min Hui",middleName:null,surname:"Huang",fullName:"Min Hui Huang",slug:"min-hui-huang"},{id:"99353",title:"MSc.",name:"Shan-Yu",middleName:null,surname:"Huang",fullName:"Shan-Yu Huang",slug:"shan-yu-huang"}]}]}]},onlineFirst:{chapter:{type:"chapter",id:"65047",title:"Assessment of Fetal Gestational Age in the First Trimester in Normal and Abnormal Pregnancies: Which Sonographic Parameter to Use?",doi:"10.5772/intechopen.82746",slug:"assessment-of-fetal-gestational-age-in-the-first-trimester-in-normal-and-abnormal-pregnancies-which-",body:'The fetal foot is one of the first structures identifiable early in the human embryos. At the end of the fourth week of embryonic development, the limb buds appear as outpouchings from the ventrolateral body wall. At 6 weeks, the terminal portion of the limb buds flattens to form the hand- and footplates and becomes separated from the proximal segment by a circular constriction. It is known that the development of the lower limbs is similar to the upper limbs and lags by only 1–2 days. By 8 weeks (or 56 days), the digital separation is already complete. The fingers and the toes are distinct and separated in the hands and feet [1, 2]. In another word, the fetal hands and feet would be recognizable as distinct formed structures by 8 weeks of embryological development or 10 weeks by the last menstrual period (LMP) according to a 28 day cycle.
About a century ago, Streeter reported a linear correlation between gestational age and foot length in 704 human fetal specimens from around 50 days post-conception until birth [3]. This linear correlation has been confirmed by studies on live fetuses in utero on transabdominal [4, 5, 6] or transvaginal scans [7] or on dead fetuses at abortion [8, 9, 10] or stillbirth [11, 12], and nomograms have been developed for assessment of fetal gestational age with foot length (FT) from the first trimester to later gestation. Hence, fetal foot length could by itself stand as a proxy for gestational age even in early pregnancy.
Conventionally, crown-rump length (CRL) is used as the reference parameter for assessment of fetal gestational age in the first trimester ultrasound scan [13, 14]. It has been suggested that the ultrasound measurement of the crown-rump length in the embryo or fetus is the most accurate method to establish or confirm gestational age in the first trimester up to 13 + 6 weeks [14]. The use of routine first trimester ultrasound scan has been shown to be associated with a reduction in induction of labor for post-term pregnancy [15]. However, there is little information on the comparison of other fetal parameters including biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), femur length (FL), and foot length to CRL in the assessment of gestational age in early gestation [16]. This information may be important for the assessment of fetal gestational age in the first trimester and subsequent management of pregnancy.
In order to ascertain the performance of various parameters in assessment of gestational age in the first trimester, in this chapter, the correlation between FT, CRL, and gestational age assessed by date (GA) will be compared from 10 to 14 weeks gestation. The correlation of the other fetal parameters (BPD, HC, AC, and FL) will also be compared to GA, CRL, and FT. Moreover, the ratio of some of these parameters will also be calculated and presented, as the availability of such ratios may be helpful when fetal abnormality is suspected on ultrasound examination in early pregnancy [17, 18, 19].
Transabdominal ultrasound examination was performed as a part of routine antenatal assessment for women attending an obstetric clinic at a gestation of 10–14 + 6 weeks from March 7, 2014, to September 7, 2016 (Accuvix V20 Prestige, Medison with 4–8 MHz volumetric transducer or EPIQ 7, Philips with X6–1 matrix transducer). The following fetal measurements were taken prospectively: crown-rump length (CRL), biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), femur length (FL), and foot length (FT). Only pregnancies with normal outcomes were included in the analysis and excluded if the entire foot could not be clearly seen during the ultrasound examination. The fetal foot length was measured from the most posterior point of the foot in its long axis to the tip of the first or the second toe whichever was longer (Figure 1). The estimated gestational age in weeks (GA) was calculated either from the last normal menstrual period (LMP) or from the first trimester dating scan if there was a discrepancy of more than a week [14]. This was a retrospective analysis involving minimal risk, conforming to the standards established by the NHMRC not requiring ethical review; ethics approval was therefore not sought within the institution [20].
Fetal foot on first trimester ultrasound scan.
Results for 35 ultrasound scans were analyzed with SPSS statistical package version 20 (SPSS Inc., Chicago, IL, USA). A two-sided probability (p) value of <0.05 was considered statistically significant. The regression models for the fetal measurements were obtained and would be presented in the relevant sections.
The mean age, gravidity, and parity were 32.0 years, 2.3, and 0.7, respectively (Table 1). A total of 32 out of the 35 women were Asians (91.4%) and 3 were Caucasians (8.6%).
Mean ± S.D. | Range | |
---|---|---|
Age (years) | 32.0 ± 4.6 | 21–44 |
Gravidity | 2.3 ± 1.5 | 1–8 |
Parity | 0.7 ± 0.7 | 0–3 |
The demographic date of the pregnant women included in the study.
SD, standard deviation.
The correlation of foot length, crown-rump length, and the gestational age assessed by date are shown in Figures 2–4 and tabulated in Table 2. FT, CRL, and GA all showed positive correlation with one another in a linear fashion (p < 0.001) (Figures 2–4). The coefficient of determination of regression (R2) was the highest between FT and CRL (0.804), lower between FL and GA (0.675), and the lowest between CRL and GA (0.608) (Table 2).
The graph of fetal foot length against gestational age assessed by date. FT = GA × 2.472−19.44. R2 = 0.675, p < 0.001. FT, foot length (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of regression; p, probability.
The graph of fetal crown-rump length against gestational age assessed by date. CRL = GA × 10.464−64.682. R2 = 0.608, p < 0.001. CRL, crown-rump length (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of regression; p, probability.
The graph of fetal foot length against crown-rump length. FT = CRL × 0.187−1.074. R2 = 0.804, p < 0.001. FT, foot length (mm); CRL, crown-rump length (mm); R2, coefficient of determination of regression; p, probability.
Parameters | FT | CRL | GA | |||
---|---|---|---|---|---|---|
R2 | p† | R2 | p† | R2 | p† | |
FT | – | – | 0.804 | <0.001* | 0.675 | <0.001* |
CRL | 0.804 | <0.001* | – | – | 0.608 | <0.001* |
GA | 0.675 | <0.001* | 0.608 | <0.001* | – | – |
The correlation between fetal foot length, crown-rump length, and gestational age assessed by date.
FT, foot length (mm); CRL, crown rump length (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of linear regression; p, probability; †, ANOVA; *, statistically significant.
The correlation of BPD, HC, AC, and FL with FT, CRL, and GA is shown in Figures 5–7,8–10,11–13, and14–16, respectively, and summarized in Table 3. Correlation in a linear fashion is seen for all (p < 0.001). Overall, the correlation of BPD, HC, AC, and FL with FT was the highest, lower with CRL, and the lowest with GA (Table 3).
The correlation of fetal biparietal diameter with foot length. BPD = FT × 1.131 + 8.748. R2 = 0.884, p < 0.001. BPD, biparietal diameter (mm); FT, foot length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal biparietal diameter with crown-rump length. BPD = CRL × 0.239 + 5.78. R2 = 0.793, p < 0.001. BPD, biparietal diameter (mm); CRL, crown-rump length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal biparietal diameter with gestational age assessed by date. BPD = GA × 3.01−15.967. R2 = 0.693, p < 0.001. BPD, biparietal diameter (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of regression; p, probability.
The correlation of fetal head circumference with foot length. HC = FT × 3.932 + 36.257. R2 = 0.897, p < 0.001. HC, head circumference (mm); FT, foot length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal head circumference with crown-rump length. HC = CRL × 0.869 + 23.646. R2 = 0.834, p < 0.001. BPD, biparietal diameter (mm); CRL, crown-rump length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal head circumference with gestational age assessed by date. HC = GA × 10.488−49.951. R2 = 0.706, p < 0.001. HC, head circumference (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of regression; p, probability.
The correlation of fetal abdominal circumference with foot length. AC = FT × 3.639 + 24.905. R2 = 0.903, p < 0.001. HC, head circumference (mm); FT, foot length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal abdominal circumference with crown-rump length. AC = CRL × 0.717 + 18.686. R2 = 0.811, p < 0.001. AC, abdominal circumference (mm); CRL, crown-rump length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal abdominal circumference with gestational age assessed by date. AC = GA × 10.16−60.453. R2 = 0.772, p < 0.001. AC, abdominal circumference (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length with foot length. FL = FT × 0.922−2.707. R2 = 0.878, p < 0.001. FL, femur length (mm); FT, foot length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length with crown-rump length. FL = CRL × 0.209−6.159. R2 = 0.843, p < 0.001. FL, femur length (mm); CRL, crown-rump length (mm); R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length with gestational age assessed by date. FL = GA × 2.56−24.255. R2 = 0.698, p < 0.001. FL, femur length (mm); GA, gestational age assessed by date (weeks); R2, coefficient of determination of regression; p, probability.
FT | CRL | GA | ||||
---|---|---|---|---|---|---|
R2 | p† | R2 | p† | R2 | p† | |
BPD | 0.884 | <0.001* | 0.793 | <0.001* | 0.693 | <0.001* |
HC | 0.897 | <0.001* | 0.834 | <0.001* | 0.706 | <0.001* |
AC | 0.903 | <0.001* | 0.811 | <0.001* | 0.772 | <0.001* |
FL | 0.878 | <0.001* | 0.843 | <0.001* | 0.698 | <0.001* |
FT | – | – | 0.804 | <0.001* | 0.675 | <0.001* |
CRL | 0.804 | <0.001* | – | – | 0.608 | <0.001* |
The correlation of fetal biparietal diameter, head circumference, abdominal circumference, and femur length to foot length, crown-rump length, and gestational age assessed by date.
FT, foot length (mm); CRL, crown rump length (mm); GA, gestational age assessed by date (weeks); BPD, biparietal diameter (mm), HC, head circumference (mm); AC, abdominal circumference; FL, femur length (mm); R2, coefficient of determination of regression; p, probability; †, ANOVA; *, statistically significant.
The correlation of combinations of fetal parameters to FT, CRL, and GA is shown in Table 4. The highest correlation was seen between the combination of [BPD, HC, AC, and FL] and FT (R2 = 0.881, p < 0.001), followed by correlation to CRL (R2 = 0.795, p < 0.001), and the least with GA (R2 = 0.685, p < 0.001). The addition of CRL to the combination yielded a lower R2 value of 0.859. However, the correlation of the combination, with or without FT, to CRL yielded the same R2 of 0.795 (p < 0.001).
FT | CRL | GA | ||||
---|---|---|---|---|---|---|
R2 | p† | R2 | p† | R2 | p† | |
BPD, HC, AC, FL, FT, CRL | – | – | – | – | 0.560 | <0.001* |
BPD, HC, AC, FL, CRL | 0.859 | <0.001* | – | – | 0.601 | <0.001* |
BPD, HC, AC, FL, FT | – | – | 0.795 | <0.001* | 0.685 | <0.001* |
BPD, HC, AC, FL | 0.881 | <0.001* | 0.795 | <0.001* | 0.685 | <0.001* |
The correlation of multiple fetal parameters to foot length, crown-rump length, and gestational age.
BPD, biparietal diameter (mm); HC, head circumference (mm); AC, abdominal circumference (mm); FL, femur length (mm): FT, fetal foot length (mm); CRL, crown rump length (mm); R2, coefficient of correlation of regression; p, probability; †, ANOVA; *, statistically significant.
The combination, in comparison to FT or CRL alone, gave a higher correlation to GA (compare to Table 2). However, the correlation of the combination of [BPD, HC, AC, and FL] or FT alone to CRL yielded a similar R2 (0.795 vs. 0.804, compare Table 4 to Table 2).
The ratios of fetal parameters FL/FT and FL/AC to FT, CRL, GA, BPD, and HC are shown in Figures 17–21 and 22–26, respectively. The correlation followed an inverse relationship, and the R2 was higher with HC or BPD or CRL or FT than GA in general (Table 5).
The correlation of fetal femur length/foot length ratio to foot length. R2 = 0.283, p = 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/foot length ratio to crown-rump length. R2 = 0.458, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/foot length ratio to gestational age assessed by date. R2 = 0.309, p = 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/foot length ratio to biparietal diameter. R2 = 0.522, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/foot length ratio to head circumference. R2 = 0.477, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/abdominal circumference ratio to foot length. R2 = 0.684, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/abdominal circumference ratio to crown-rump length. R2 = 0.686, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/abdominal circumference ratio to gestational age assessed by date. R2 = 0.495, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/abdominal circumference ratio to biparietal diameter. R2 = 0.765, p < 0.001. R2, coefficient of determination of regression; p, probability.
The correlation of fetal femur length/abdominal circumference ratio to head circumference. R2 = 0.773, p < 0.001. R2, coefficient of determination of regression; p, probability.
FL/AC | FL/FT | |||
---|---|---|---|---|
R2 | p† | R2 | p† | |
FT | 0.684 | <0.001* | 0.283 | 0.001* |
CRL | 0.686 | <0.001* | 0.458 | <0.001* |
GA | 0.495 | <0.001* | 0.309 | 0.001* |
BPD | 0.765 | <0.001* | 0.522 | <0.001* |
HC | 0.773 | <0.001* | 0.477 | <0.001* |
The correlation of foot length/abdominal circumference ratio to foot length, crown-rump length, and gestational age assessed by date, biparietal diameter, and abdominal circumference in a reverse relationship.
FL, femur length (mm); AC, abdominal circumference (mm); FT, foot length (mm); CRL, crown rump length (mm); GA, gestational age assessed by date (weeks); BPD, biparietal diameter (mm); HC, head circumference (mm); R2, coefficient of determination of regression; p, probability; †, ANOVA; *, statistically significant.
The Pearson coefficient for intra-observer correlation was 0.992 (p < 0.001) and for inter-observer correlation was 0.990 (p < 0.001) in the measurement of fetal foot length.
An accurate estimation of fetal gestational age in early pregnancy is important for the assessment of the due date [14, 15] and fetal growth [21], the assignment of risk scores for the pregnancy [22], the prediction of fetal abnormality [23], and in the management of twin pregnancies [24]. CRL has been recommended as the standard parameter for assessment of fetal gestational age in the first trimester [14]. It was deduced that CRL gave a better estimation of fetal gestational age than the dates by the observation that it gave a better estimation of the date of delivery [14]. However, it is known that the measurement of CRL could be affected by the fetal posture. Variations in the estimation of fetal gestational age by a few days could be observed for the same gestation with different reference charts derived for CRL [4, 13, 25, 26, 27, 28]. Since fetal foot length has been established as an accurate estimate for gestational age [3], it could be used as a proxy for the later. In this study, it could be seen that CRL correlates better with FT than GA. It can therefore be concluded that CRL is a better estimate of fetal gestational age than the date (Table 2), consistent with the previous observations [15]. However, in comparison to FT in the correlation to the other fetal parameters such as BPD, HC, AC, and FL, CRL performs less well in this study. The addition of CRL to the combination also lowers the R2 (Table 4). Therefore, the use of the combination of BPD, HC, AC, and FL could well be applied from 10 to beyond 14 weeks for the estimation of fetal gestational age rather than using CRL below 14 weeks and the combination of BPD, HC, AC, and FL thereafter as in the current obstetrical practice [14]. Similarly when we use ratio of fetal parameters in the assessment of suspected fetal abnormalities, it may be better to use the ratio against fetal parameters such as FT, BPD, HC, or even CRL than against the gestational age by date, as long as the particular reference fetal parameter being used is not significantly affected by the abnormality in question (Table 5) [23, 29]. Of note, these ratios may not follow a linear correlation but rather an inverse relationship and vary according to the gestational age in the first trimester as alluded in a previous publication (Figures 17–21,22–26, Table 5) [19].
The major limitation of the study is the sample size. The population studied comprised mainly of Asians, and hence there could be a question on generalizability. However, it has already been shown that ethnicity of the population is not an issue in sonographic estimation of fetal gestational age using crown-rump length [26]. Moreover, it has also been shown that less than 3.5% of the total variability of fetal skeletal growth was due to differences between populations when the mothers were adequately nourished [30].
With the advancement of ultrasound technology, small structures could be measured with high accuracy. Rather than relying on CRL, a parameter that could be markedly affected by fetal posture, it is perhaps time to review our ultrasound practice at 10–14 weeks in the first trimester.
In the sonographic assessment of fetal gestational age in the first trimester, the use of a combination of fetal parameters such as BPD, HC, AC, and FL is more accurate than CRL or GA at 10–14 weeks gestation in normal pregnancies. The use of these parameters as references for comparison may also be helpful when fetal abnormality is suspected in early pregnancy.
I would like to thank Dr. Hoi Yin Mary Tang of the Department of Obstetrics and Gynecology, The University of Hong Kong, for her great kindness in checking the data.
Nil to declare.
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