Abstract
Background and Objective
Accurately estimating the age of the fetus is crucial to prevent morbidity and mortality for both the fetus and mother during the perinatal period. Additionally, it enables early intervention in cases of complicated pregnancies. Multiple parameters are used for the estimation of fetal gestational age (FGA) and the expected date of delivery (EDD), but no single parameter is found to be accurate and standard. This study aims to analyze the fetal kidney length (FKL) as a means to estimate gestational age and investigate the growth pattern of the fetal kidney during the early and late weeks of gestation. Furthermore, it seeks to establish correlations between FKL and gold standard parameters from the 18th week to the 38th week of gestation.
Methodology
This cross-sectional research was carried out after obtaining proper institutional ethical clearance. The pregnant women who came to the gynecology outpatient department (OPD) between 18 and 38 weeks were included in this study after obtaining informed consent. The fetal biometry was measured using the ultrasonographic transducer (3-5 MHz).
Results
The mean FKL exhibited a consistent increase throughout the entire pregnancy, ranging from 16.50 ± 2.10 to 39.20 ± 3.10 mm. The rate of increase in FKL was significant between the early weeks (18-24) of pregnancy, with insignificant growth in other weeks of gestation. The growth of the fetal kidney (length) exhibited a gradual increase from the early weeks to the late weeks of pregnancy, with a consistent growth rate of approximately 1mm per week from 18 to 35 weeks. However, in the final three weeks of pregnancy (36th, 37th, and 38th weeks), the FKL measurements were recorded as 37.90 ± 3.90, 38.90 ± 3.10, and 40.20 ± 3.10 mm, respectively. A positive correlation was noted between the FKL with all standard parameters such as biparietal diameter (BPD), femur length (FL), head circumference (HC), and abdominal circumference (AC).
Conclusions
This study concluded that incorporating FKL alongside standard fetal biometric parameters such as BPD, FL, HC, and AC enhanced the accuracy of calculating FGA and EDD during the early second trimester. Furthermore, it proved beneficial in diagnosing fetal anomalies during early pregnancies.
Keywords: ultrasonography, head circumference, trimester, gestational age, fetal kidney length
Introduction
An accurate fetal gestational age (FGA) is vital to calculate the expected date of delivery (EDD), diagnose congenital anomalies, and provide quality maternal care [1]. Estimations based on menstrual history, quickening, and signs during examination are not always accurate due to variable survival of sperms, irregular menstrual history, uterine pathology, and anomalies [2-6]. Classical fetal biometric parameters such as mean sac diameter, crown-rump length, biparietal diameter (BPD), femur length (FL), head circumference (HC), and abdominal circumference (AC) are used in different periods of gestation. However, all lose reliability as the pregnancy progresses [7,8]. The crown-rump length and the mean sac diameter are most reliable during the first trimester, BPD during the second trimester, and FL during the third trimester [9,10]. The fetal kidney length (FKL) has been proposed as a reliable marker for calculating FGA and EDD, mainly when used in combination with other fetal biometry measurements [1,11,12]. As the kidney starts developing in week 4 of gestation and becomes functional at week 10 or 11, FKL can be measured starting in week 12 [13,14]. However, the use of FKL in estimating age has been reported only in later weeks (20-41) of gestation. This study thus assessed the suitability of FKL as an additional biometric parameter and correlational factor for estimating gestational age in the early second trimester.
Materials and methods
This cross-sectional study measured fetal biometric parameters in 160 antenatal women at 18 to 38 weeks of gestation who visited the obstetrics department at Saveetha Medical College and Hospital, Thandalam, Chennai, from April 2021 to March 2022. Women whose pregnancies exhibited normal fetal growth with no maternal or fetal complications or comorbidities were enrolled. Ethical approval was sought and obtained from the institutional ethics committee (SMC/IEC/2021/04/12), and after explaining the study in detail, written informed consent was obtained from all study participants. The inclusion criteria for this study comprised all pregnancies without risk factors and with a known last menstrual period, regardless of gravida. Exclusion criteria were classified based on fetal and maternal factors, including fetal anomaly, fetal growth restriction, polycystic kidney disease or other renal anomalies (such as agenesis, hypoplasia, cyst, and hydronephrosis), twinning, late pregnancy, small kidney without peri-renal fat pad, or a gestation period of fewer than 15 weeks. Additionally, hypothyroidism, diabetes, and difficult ultrasonographic imaging due to maternal obesity were also considered as exclusion criteria.
Fetal biometric parameters (BPD, FL, HC, AC, and right and left FKL) were measured using a Philips HD7 ultrasound transducer at 3-5 MHz (version 2.0.1, KPI Georgia, Tbilisi, GA, USA). After visualizing the four chambers of the heart during ultrasound imaging, the longitudinal axes of both kidneys were noted and, in the same plane, the outer margins of the kidney were used as landmarks to measure kidney length [15]. Measurements were taken three times for each parameter in weeks 18 to 38. Mean values were considered for statistical analyses. Figures 1-2 show the FKL measurements in weeks 15-20, 21-36, and 37 and above.
Figure 1. Ultrasound measurements of fetal kidney length at different gestational weeks: (A) 18th week, (B) 25th week, and (C) 37th week.
Figure 2. Ultrasound measurement of standard fetal biometry:(A) biparietal diameter and head circumference, (B) femur length, and (C) abdominal circumference.
All statistical analyses were done using IBM SPSS Statistics for Windows, Version 25.0 (IBM Corp., Armonk, NY, USA). FKL and all standard parameters are expressed as mean ± standard deviation. Paired and independent t-tests were used to calculate the level of significance, and a P-value <0.05 was considered significant. A Pearson correlation analysis was done to identify correlations between parameters.
Results
This study included a total of 160 women who were in the gestational period ranging from weeks 18 to 38 of pregnancy. The majority of women (127/160, 79.37%) were aged 20 to 34 years. This study classifies participants’ pregnancies by parity (primi gravida, second gravida, and multigravida). Most participants had primi gravida (75/160, 46.87%), followed by second gravida (45/160, 28.13%) and multi gravida (40/160, 25%) pregnancies. Figure 3 shows the age distribution (≤19, 20-34, and >34 years) at the time of presentation or checkup.
Figure 3. Age distribution of participants.
Table 1 summarizes the fetal biometric measurements (FKL, BPD, FL, HC, and AC) taken in weeks 18 to 38. Mean FKL was 16.50 ± 2.10 to 38.20 ± 3.10 mm. The most observations were collected in gestation weeks 21 to 38 (15 each week) and the least in week 27 (2). As shown in Table 1, FKL increased by 1 mm weekly from weeks 18 (18.50 ± 2.10) to 38 (38.20 ± 3.10). FKL showed constant and correlated growth of 1 mm per week from weeks 18 (18.50 ± 2.10 mm) to 35 (35.30 ± 1.60 mm), with statistically significant increases in weeks 18 to 24 and positive correlations with BPD, FL, HC, and AC.
Table 1. Fetal biometric parameters between the weeks of gestation (n = 160).
FKL, fetal kidney length; BPD, biparietal diameter; FL, femur length; HC, head circumference; AC, abdominal circumference
| S. no. | Gestational age in weeks (n = 160) | FKL (mm) | BPD (mm) | FL (mm) | HC (cm) | AC (cm) |
| 1 | 18 (n1 = 5) | 18.50 ± 2.10 | 42.00 ± 1.30 | 28.20 ± 1.20 | 15.82 ± 0.43 | 13.42 ± 0.62 |
| 2 | 19 (n2 = 6) | 19.20 ± 1.90 | 44.70 ± 1.30 | 30.40 ± 4.00 | 17.68 ± 0.90 | 14.96 ± 0.40 |
| 3 | 20 (n3 = 10) | 20.20 ± 2.40 | 47.40 ± 3.30 | 32.80 ± 2.70 | 18.12 ± 1.25 | 15.84 ± 1.29 |
| 4 | 21 (n4 = 15) | 21.50 ± 1.70 | 51.10 ± 2.20 | 37.00 ± 2.20 | 19.27 ± 0.70 | 16.93 ± 0.92 |
| 5 | 22 (n5 = 9) | 22.70 ± 3.80 | 53.00 ± 3.30 | 37.90 ± 2.20 | 19.78 ± 1.21 | 17.36 ± 1.19 |
| 6 | 23 (n6 = 6) | 23.60 ± 2.60 | 57.40 ± 3.50 | 41.30 ± 2.00 | 21.78 ± 0.66 | 18.52 ± 1.08 |
| 7 | 24 (n7 = 4) | 24.30 ± 1.30 | 60.30 ± 2.80 | 44.10 ± 1.00 | 22.46 ± 0.93 | 20.08 ± 0.39 |
| 8 | 25 (n8 = 7) | 25.50 ± 1.10 | 63.40 ± 4.40 | 48.20 ± 2.30 | 24.40 ± 3.68 | 21.26 ± 0.76 |
| 9 | 26 (n9 = 5) | 26.30 ± 1.50 | 65.80 ± 4.80 | 51.40 ± 5.30 | 25.55 ± 4.52 | 22.21 ± 1.66 |
| 10 | 27 (n10 = 2) | 27.40 ± 1.50 | 70.50 ± 0.70 | 52.00 ± 0.00 | 26.20 ± 0.00 | 22.75 ± 0.78 |
| 11 | 28 (n11 = 6) | 28.70 ± 1.20 | 71.50 ± 3.30 | 52.60 ± 4.60 | 26.20 ± 0.99 | 23.47 ± 0.77 |
| 12 | 29 (n12 = 7) | 29.90 ± 1.60 | 73.40 ± 4.70 | 55.40 ± 3.30 | 27.31 ± 1.28 | 25.64 ± 1.04 |
| 13 | 30 (n13 = 7) | 30.40 ± 1.50 | 75.50 ± 3.80 | 56.90 ± 2.70 | 27.90 ± 0.93 | 25.23 ± 0.55 |
| 14 | 31 (n14 = 11) | 31.20 ± 2.00 | 79.60 ± 2.70 | 60.50 ± 2.00 | 29.42 ± 0.73 | 27.36 ± 1.29 |
| 15 | 32 (n15 = 9) | 32.20 ± 1.90 | 80.70 ± 2.40 | 63.40 ± 2.20 | 29.93 ± 0.78 | 28.04 ± 2.19 |
| 16 | 33 (n16 = 8) | 33.50 ± 2.20 | 81.50 ± 4.20 | 63.10 ± 3.30 | 30.40 ± 1.54 | 28.87 ± 1.40 |
| 17 | 34 (n17 = 7) | 34.30 ± 1.50 | 83.30 ± 1.90 | 65.60 ± 2.20 | 31.11 ± 0.50 | 30.26 ± 1.59 |
| 18 | 35 (n18 = 9) | 35.30 ± 1.60 | 86.90 ± 5.70 | 67.80 ± 2.80 | 31.57 ± 1.29 | 31.31 ± 1.54 |
| 19 | 36 (n19 = 5) | 37.90 ± 3.90 | 84.80 ± 2.50 | 68.70 ± 1.30 | 31.73 ± 0.61 | 31.74 ± 0.84 |
| 20 | 37 (n20 = 7) | 38.90 ± 3.10 | 88.20 ± 2.50 | 69.50 ± 13.70 | 32.30 ± 0.60 | 31.90 ± 0.74 |
| 21 | 38 (n21 = 15) | 40.20 ± 3.10 | 90.60 ±3.30 | 72.50 ± 2.50 | 33.01 ± 0.70 | 33.95 ±1.40 |
Figure 4 shows a heatmap comparing all fetal biometric parameters measured in millimeters. The colors in the heatmap represent the mean values, with red indicating lower values, green indicating higher values, and yellow representing intermediate increasing values. All parameters demonstrate a proportional increase with gestational age. Particularly, FKL and AC exhibit a gradual increase up to 30 weeks of gestation. Therefore, FKL, along with AC and other parameters, can be utilized to determine gestational age effectively.
Figure 4. Heatmap comparison of fetal biometric parameters.
FKL, fetal kidney length; BPD, biparietal diameter; FL, femur length; HC, head circumference; AC, abdominal circumference
Figure 5 shows the sequential growth of fetal biometric parameters from weeks 18 to 38. We observed that mean FKL increased in a pattern similar to HC and AC but not BPD and FL.
Figure 5. Comparison of sequential growth of fetal biometric parameters with increasing weeks of gestation.
MKL, mean kidney length; BPD, biparietal diameter; FL, femur length; HC, head circumference; AC, abdominal circumference
Table 2 shows the comparison of Pearson correlations between FKL and all standard parameters. As shown, changes in FKL were significantly correlated with changes in BPD, FL, HC, and AC (0.951, 0.930, 0.939, and 0.943, respectively) throughout the pregnancy (all P-values <0.001, two-tailed).
Table 2. Correlation between the mean kidney length and other fetal biometric parameters.
*Correlation is significant at the 0.01 level (two-tailed).
FKL, fetal kidney length; BPD, biparietal diameter; FL, femur length; HC, head circumference; AC, abdominal circumference
| Fetal biometric parameters | Correlations | FKL | BPD | FL | HC | AC |
| FKL | Pearson correlation | 1 | 0.951* | 0.930* | 0.939* | 0.943* |
| Sig. (two-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | ||
| n | 160 | 160 | 160 | 160 | 160 | |
| BPD | Pearson correlation | 0.951* | 1 | 0.956* | 0.978* | 0.977* |
| Sig. (two-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | ||
| n | 160 | 160 | 160 | 160 | 160 | |
| FL | Pearson correlation | 0.930* | 0.956* | 1 | 0.943* | 0.956* |
| Sig. (two-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | ||
| n | 160 | 160 | 160 | 160 | 160 | |
| HC | Pearson correlation | 0.939* | 0.978* | 0.943* | 1 | 0.963* |
| Sig. (two-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | ||
| n | 160 | 160 | 160 | 160 | 160 | |
| AC | Pearson correlation | 0.943* | 0.977* | 0.956* | 0.963* | 1 |
| Sig. (two-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | ||
| n | 160 | 160 | 160 | 160 | 160 |
Discussion
Several factors can affect fetal growth, including socioeconomic status, nutrition, medical history, genetic diseases, complications during pregnancy or at the time of delivery, parity, age of the mother, and interobserver variability. Failure to account for these factors may help explain the huge variations in the reliability of fetal biometry measurements [16-19]. Ultrasound plays a crucial role in obstetrics to exclude uterine anomalies, measure fetal growth, and predict delivery dates [7]. During organogenesis in the first trimester, the mean sac diameter and crown-rump length are the standard parameters used to calculate the gestational age of the fetus [9,10,20]. After organ maturation, various other measurements (e.g., BPD, FL, AC, HC, and FKL) have been used to estimate the date of delivery and fetal growth [21]. A study by Karki et al. reported that AC and BPD are the best and least correlated parameters, respectively, in the second trimester, and HC and FL are most suitable in the third trimester [20]. Konje et al. found that FKL, FL, and AC are the best and least correlated parameters, respectively, to calculate gestational age in weeks 24 to 38 [1]. Uterine pathologies or anomalies can further complicate these calculations [5]. Recent studies showed that FKL may be a useful biometric parameter to calculate the date of delivery [22-25].
In this study, FKL was measured in weeks 18 to 38 and increased by 1 mm each week (18.50 ± 2.10 mm in week 18 to 35.30 ± 1.60 mm in week 35), exhibiting statistically significant increases in weeks 18 to 24, in a manner positively correlated with standard fetal biometry parameters (BPD, FL, HC, and AC). Previous studies have found that FKL measurements (mm) align with the gestational week of pregnancy in the first trimester and early second trimester (e.g., 22 mm at 22 week) [12,26-30]. Konje et al. noted significantly higher FKL in alternate weeks of gestation starting in week 24 compared to this study [1], whereas Kansaria and Parulekar and Akintomide and Efanga reported lower growth rates [23,31]. Similar to the current findings, Edevbie et al. reported corresponding FKL measurements with weeks of gestation (i.e., from weeks 20 to 36), with no coinciding FKL values in the last weeks of gestation [22]. Ugur et al. reported that FKL is positively correlated with gestational age and is an accurate parameter for predicting the date of delivery in late pregnancy [32]. Abbas et al. measured FKL using ultrasound and manual methods and found that ultrasound is more accurate. They further reported a positive correlation between FKL and gestational age [33]. In contrast to this study, Cohen et al. reported that FKL was not correlated with gestational age in calculating the EDD (r = 0.00) and that accurate FKL was needed to exclude abnormal fetal growth [34]. Overall, these findings indicated that FKL measurements in the second trimester may be helpful to calculate delivery dates and identify fetal anomalies. Table 3 summarizes findings from the literature showing how FKL (mm) coincides with gestation age (weeks).
Table 3. Comparing fetal kidney lengths (mm) and gestational age (weeks).
FKL, fetal kidney length; WOG, weeks of gestation
| Mean FKL | ||||||||||||
| WOG | This study | Joshi et al. [27] | Saxena et al. [26] | Konje et al. [1] | Ansari et al. [28] | Edevbie and Akhigbe [22] | Ugwuanyi et al. [29] | Kansaria and Parulekar [23] | Shivalingaiah et al. [30] | Yusuf et al. [12] | Abbas et al. [33] | Akintomide and Efanga [31] |
| 16 | - | - | - | - | 16 | - | - | - | - | - | 15.5 | - |
| 17 | - | - | - | - | 16 | - | - | - | - | - | 17.8 | - |
| 18 | 18.50 ± 2.10 | - | - | - | 18 | - | - | - | - | - | 21.8 | - |
| 19 | 19.20 ± 1.90 | - | - | - | 18 | - | - | - | - | - | 22.2 | - |
| 20 | 20.20 ± 2.40 | 20.4 | - | - | 19 | 20.87 | 20 | - | - | - | 24.8 | 19.2 |
| 21 | 21.50 ± 1.70 | 21.6 | - | - | 21 | 20.96 | 21 | - | - | - | 25.5 | 20 |
| 22 | 22.70 ± 3.80 | 22.5 | - | - | 22 | 22.27 | 22 | - | - | - | 26.6 | 21.3 |
| 23 | 23.60 ± 2.60 | 23.4 | - | - | 22 | 23.79 | 23 | - | - | - | 29.4 | 21.6 |
| 24 | 24.30 ± 1.30 | 24.6 | - | 24.2 | 24 | 25.33 | 24 | 23.87 | 24.1 | - | 30.4 | 23 |
| 25 | 25.50 ± 1.10 | 25.1 | - | - | 25 | 25.97 | 25 | - | - | - | 32.5 | 24.1 |
| 26 | 26.30 ± 1.50 | 25.9 | - | 26.3 | 26 | 27.47 | 32 | 25.23 | - | - | 33.8 | 25.2 |
| 27 | 27.40 ± 1.50 | 26.4 | - | - | 27 | 27.54 | 33 | - | - | - | 34.4 | 27.4 |
| 28 | 28.70 ± 1.20 | 28.1 | 28 | 29 | 28 | 29.46 | 34 | 26.98 | 28.2 | - | 34.5 | 29.4 |
| 29 | 29.90 ± 1.60 | 29 | 29 | - | 29 | 30.34 | 35 | - | - | - | 35.9 | 29.9 |
| 30 | 30.40 ± 1.50 | 30.4 | 29.67 | 30.9 | 31 | 31.83 | 34 | 29.03 | - | - | 37.8 | 30.4 |
| 31 | 31.20 ± 2.00 | 31.4 | 30.28 | - | 32 | 31.87 | 35 | - | - | 31.4 | 37.8 | 31 |
| 32 | 32.20 ± 1.90 | 31.8 | 32 | 33.2 | 32 | 33.60 | 36 | 30.80 | 32.8 | 32 | 40.8 | 32.4 |
| 33 | 33.50 ± 2.20 | 33.3 | 32.88 | - | 32 | 34.31 | 34 | - | - | 33 | 41.3 | 33.8 |
| 34 | 34.30 ± 1.50 | 34.7 | 33.44 | 35.0 | 33 | 35.06 | 40 | 32.51 | - | 34.2 | 41.9 | 34.5 |
| 35 | 35.30 ± 1.60 | 36 | 34.68 | - | 34 | 35.86 | 40 | - | - | 35.1 | 41.9 | - |
| 36 | 37.90 ± 3.90 | 35.3 | 35.76 | 38.2 | 35 | 36.86 | 40 | 34.26 | 36.5 | 35.9 | 42 | - |
| 37 | 38.90 ± 3.10 | 37.4 | 36.76 | - | 36 | 38.18 | 41 | - | - | 36.9 | 42.1 | - |
| 38 | 40.20 ± 3.10 | - | 37.40 | 40.1 | 37 | 38.77 | 42 | 36.25 | - | 37 | - | - |
| 39 | - | - | 38 | - | 38 | 39.40 | 42 | - | - | 39.3 | - | - |
| 40 | - | - | 40 | - | 39.5 | 40.32 | 42 | - | - | 40.5 | - | - |
| 41 | - | - | - | - | - | 41.41 | - | - | - | - | - | - |
Kansaria and Parulekar reported that FKL was highly accurate in predicting the date of delivery, with a standard error of 9.17 days, and AC was least accurate, with a standard error of 11.14 days [23], and these findings have been corroborated in another study [25]. Shivalingaiah et al. found that FKL was highly correlated with all standard fetal biometric parameters (P-value < 0.05, r2 = 0.85 to 0.98) except AC and that FL at week 24 and BPD at week 36 were not correlated with FKL [30]. Edevbie and Akhigbe stated that gestational age calculated by FKL is linearly correlated with gestational age calculated by BPD, FL, AC, and HC [22]. Cohen et al. found a strong correlation with gestational age, with the average of three fetal biometric parameters (BPD, FL, and AC) and a significant difference between FKL and gestational age throughout gestation [34]. Similarly, Akintomide and Efanga suggested that HC and FL were positively correlated with FKL in calculating the EDD [31]. Table 4 summarizes results from the different studies using FKL to assess gestational age.
Table 4. Comparing the periods of gestation with similar FKL (mm) and gestational age (weeks).
FKL, fetal kidney length
| S. no. | Author | Year | Country | Periods of gestation in which the FKL (mm) corresponds with the gestational age (weeks) |
| 1. | Present study | 2022 | Tamil Nadu, India | 18-35 weeks |
| 2. | Joshi et al. [27] | 2021 | Nepal | 20-25, 28-31, 33, 34, and 37 weeks |
| 3. | Saxena et al. [26] | 2016 | Rajasthan, India | 28, 29, and 32 weeks |
| 4. | Konje et al. [1] | 2002 | UK | 24, 26, and 30 weeks |
| 5. | Ansari et al. [28] | 1997 | Bangladesh | 16, 18, 21, 22, and 24-29 weeks |
| 6. | Edevbie and Akhigbe [22] | 2018 | Nigeria | 20, 22, 23, 25, 27-29, 31, 35, 36, and 38-41 weeks |
| 7. | Ugwuanyi et al. [29] | 2018 | Nigera | 20-25 weeks |
| 8. | Kansaria and Parulekar [23] | 2009 | Mumbai, India | No weeks are similar with FKL in millimeters |
| 9. | Shivalingaiah et al. [30] | 2014 | Karnataka, India | 24, 28, 32, and 36 weeks (observed every four weeks, all similar) |
| 10. | Yusuf et al. [12] | 2007 | Bangladesh | 31-35, 39, and 40 weeks |
| 11. | Abbas et al. [33] | 2012 | Pakistan | 17 weeks |
| 12. | Akintomide and Efanga [31] | 2022 | Nigeria | 27 and 29-34 weeks |
In this study, FKL was significantly positively correlated with standard fetal biometric parameters BPD, FL, HC, and AC (P-value = 0.001). The Pearson correlations for FKL were 0.951, 0.930, 0.939, and 0.943 with BPD, FL, HC, and AC, respectively. As mentioned, the number of weeks in the second trimester coincides closely with FKL in millimeters. Thus, FKL may play an important role in assessing FGA, EDD, and fetal anomalies in early pregnancy.
Conclusions
An accurate FGA helps obstetricians calculate the date of delivery, diagnose congenital anomalies, and provide quality maternal care. In addition to classical fetal biometric parameters, FKL is a potentially useful parameter during ultrasound and antenatal checkups. In this study, FKL in the second trimester accurately predicted the EDD. However, it is important to note that the study has limitations, as it relied on prevalent data and lacked regular follow-up of antenatal cases. To address this limitation, future research should incorporate the same methodology with regular follow-up of antenatal cases. Furthermore, additional studies are necessary to explore other fetal biometric data that can enhance obstetric care and improve patient outcomes.
The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained or waived by all participants in this study. Saveetha Institutional Ethical Committee issued approval SMC/IEC/2021/04/12
Animal Ethics
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
References
- 1.Determination of gestational age after the 24th week of gestation from fetal kidney length measurements. Konje JC, Abrams KR, Bell SC, Taylor DJ. Ultrasound Obstet Gynec. 2002;19:592–597. doi: 10.1046/j.1469-0705.2002.00704.x. [DOI] [PubMed] [Google Scholar]
- 2.Characterization of ovarian follicular wave dynamics in women. Baerwald AR, Adams GP, Pierson RA. Biol Reprod. 2003;69:1023–1031. doi: 10.1095/biolreprod.103.017772. [DOI] [PubMed] [Google Scholar]
- 3.Vaginal flora and sperm survival. Leppaluoto P. https://pubmed.ncbi.nlm.nih.gov/4449105/ J Reprod Med. 1974;12:99–107. [PubMed] [Google Scholar]
- 4.Impact of ovulation and implantation timing on first-trimester crown-rump length and gestational age. Mahendru AA, Daemen A, Everett TR, et al. Ultrasound Obstet Gynecol. 2012;40:630–635. doi: 10.1002/uog.12277. [DOI] [PubMed] [Google Scholar]
- 5.Gestational age assessment: II. Prediction from combined clinical observations. Andersen HF, Johnson Jr TR, Flora Jr JD, Barclay ML. Am J Obstet Gynecol. 1981;140:770–774. [PubMed] [Google Scholar]
- 6.Evaluation of ultrasound-estimated date of delivery in 17,450 spontaneous singleton births: do we need to modify Naegele's rule? Nguyen TH, Larsen T, Engholm G, Møller H. Ultrasound Obstet Gynecol. 1999;14:23–28. doi: 10.1046/j.1469-0705.1999.14010023.x. [DOI] [PubMed] [Google Scholar]
- 7.First- vs second-trimester ultrasound: the effect on pregnancy dating and perinatal outcomes. Caughey AB, Nicholson JM, Washington AE. Am J Obstet Gynecol. 2008;198:703–705. doi: 10.1016/j.ajog.2008.03.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Diagnostic Imaging of Fetal Anomalies. Nyberg DA, McGahan JP, Pretorius DH, Pilu G. Journal of ultrasound in medicine: official journal of the American Institute of Ultrasound in Medicine. 2003;22:850. [Google Scholar]
- 9.Ultrasound dating-curve analysis in the assessment of gestational age. Piantelli G, Sacchini C, Coltri A, Ludovici G, Paita Y, Gramellini D. https://pubmed.ncbi.nlm.nih.gov/8070114/ Clin Exp Obstet Gynecol. 1994;21:108–118. [PubMed] [Google Scholar]
- 10.ISUOG practice guidelines: performance of first-trimester fetal ultrasound scan. Salomon LJ, Alfirevic Z, Bilardo CM, et al. Ultrasound Obstet Gynecol. 2013;41:102–113. doi: 10.1002/uog.12342. [DOI] [PubMed] [Google Scholar]
- 11.Ultrasound estimation of gestational age from fetal kidney length. Laishram D, Anand G. J Anat Soc India. 2015;25:0. [Google Scholar]
- 12.Fetal kidney length can be a new parameter for determination of gestational age in 3rd trimester. Yusuf N, Moslem F, Haque JA. TAJ: J Teachers Assoc. 2007;20:147–150. [Google Scholar]
- 13.Congenital anomalies of the kidney and urinary tract. Connolly JO, Neild GH. Comprehensive Clin Nephrol. 2010:609–626. [Google Scholar]
- 14.Ultrasonic evaluation of fetal kidneys. Lawson TL, Foley WD, Berland LL, Clark KE. Radiology. 1981;138:153–156. doi: 10.1148/radiology.138.1.7455076. [DOI] [PubMed] [Google Scholar]
- 15.Quantitative characterization of the growth of the fetal kidney. Bertagnoli L, Lalatta F, Gallicchio R, Fantuzzi M, Rusca M, Zorzoli A, Deter RL. J Clin Ultrasound. 1983;11:349–356. doi: 10.1002/jcu.1870110702. [DOI] [PubMed] [Google Scholar]
- 16.Human fetal kidney morphometry during gestation and the relationship between weight, kidney morphometry and plasma active renin concentration at birth. Konje JC, Bell SC, Morton JJ, de Chazal R, Taylor DJ. Clin Sci (Lond) 1996;91:169–175. doi: 10.1042/cs0910169. [DOI] [PubMed] [Google Scholar]
- 17.A cross-sectional study of changes in fetal renal size with gestation in appropriate- and small-for-gestational-age fetuses. Konje JC, Okaro CI, Bell SC, de Chazal R, Taylor DJ. Ultrasound Obstet Gynecol. 1997;10:22–26. doi: 10.1046/j.1469-0705.1997.10010022.x. [DOI] [PubMed] [Google Scholar]
- 18.Extrinsic factors influencing fetal deformations and intrauterine growth restriction. Moh W, Graham JM Jr, Wadhawan I, Sanchez-Lara PA. J Pregnancy. 2012;2012:750485. doi: 10.1155/2012/750485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Effect of fetal and child health on kidney development and long-term risk of hypertension and kidney disease. Luyckx VA, Bertram JF, Brenner BM, Fall C, Hoy WE, Ozanne SE, Vikse BE. Lancet. 2013;382:273–283. doi: 10.1016/S0140-6736(13)60311-6. [DOI] [PubMed] [Google Scholar]
- 20.Study of accuracy of commonly used fetal parameters for estimation of gestational age. Karki DB, Sharmqa UK, Rauniyar RK. https://pubmed.ncbi.nlm.nih.gov/17189967/ J Nepal Med Assoc. 2006;45:233–237. [PubMed] [Google Scholar]
- 21.Obstetric ultrasound use in low and middle income countries: a narrative review. Kim ET, Singh K, Moran A, Armbruster D, Kozuki N. Reprod Health. 2018;15:1–26. doi: 10.1186/s12978-018-0571-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ultrasound measurement of fetal kidney length in normal pregnancy and correlation with gestational age. Edevbie JP, Akhigbe AO. Niger J Clin Pract. 2018;21:960–966. doi: 10.4103/njcp.njcp_373_15. [DOI] [PubMed] [Google Scholar]
- 23.Nomogram for foetal kidney length. Kansaria JJ, Parulekar SV. Bombay Hosp J. 2009;51:155–162. [Google Scholar]
- 24.Evaluation of the normal fetal kidney length and its correlation with gestational age. Seilanian Toosi F, Rezaie-Delui H. https://pubmed.ncbi.nlm.nih.gov/23737313/ Acta Med Iran. 2013;51:303–306. [PubMed] [Google Scholar]
- 25.Role of fetal kidney length in estimation of gestational age. Kaul I, Menia V, Anand AK, Gupta R. https://www.jkscience.org/archive/volume142/Role%20of%20Fetal%20Kidney%20Length%20in%20Estimation%20of%20Gestational%20Age.pdf JK Science. 2012;14:65–69. [Google Scholar]
- 26.Foetal kidney length as a parameter for determination of gestational age in pregnancy by ultrasonography. Ruchi Saxena, G G, Joshi K, Sunipa Sunipa, Yadav K. Int J Med Res Prof. 2016;2:71–73. [Google Scholar]
- 27.Determination of gestational age by fetal kidney length measurement after the 20th week in healthy women with uncomplicated pregnancy in tertiary care centre. Joshi BR, Chaurasia AK, Khanal UP. Nepal Paediatr Soc. 2021;41:380–386. [Google Scholar]
- 28.Ultrasonographic study of 793 foetuses: measurement of normal foetal kidney lengths in Bangladesh. Ansari SM, Saha M, Paul AK, Mia SR, Sohel A, Karim R. Australas Radiol. 1997;41:3–5. doi: 10.1111/j.1440-1673.1997.tb00457.x. [DOI] [PubMed] [Google Scholar]
- 29.Prenatal ultrasound evaluation of foetal kidney length in a Nigerian population. Ugwuanyi DC, Chiegwu HU, Eze JC, Agwu KK. https://www.researchgate.net/profile/Daniel-Ugwuanyi/publication/325658167_Prenatal_Ultrasound_Evaluation_of_Foetal_Kidney_Length_in_A_Nigerian_Population/links/5b1b91c80f7e9b68b42a19ae/Prenatal-Ultrasound-Evaluation-of-Foetal-Kidney-Length-in-A-Nigerian-Population.pdf Medicina Interna. 2018;2:115. [Google Scholar]
- 30.Fetal kidney length as a parameter for determination of gestational age in pregnancy. Shivalingaiah N, Sowmya K, Ananya R, Kanmani TR, Marimuthu P. Int J Reprod Contracep Obstet Gynecol. 2014;3:424–427. [Google Scholar]
- 31.Fetal kidney length: a likely sole index for gestational age determination in late pregnancy and certain abnormalities. Akintomide AO, Efanga SA. Niger J Med. 2022;31:138. [Google Scholar]
- 32.Fetal kidney length as a useful adjunct parameter for better determination of gestational age. Ugur MG, Mustafa A, Ozcan HC, Tepe NB, Kurt H, Akcil E, Gunduz R. Saudi Med J. 2016;37:533–537. doi: 10.15537/smj.2016.5.14225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Comparative study of manual and ultrasonographic measurement of fetal renal length. Abbas F, Javed M, Ali H, Wazir F. https://www.gjms.com.pk/index.php/journal/article/view/396 Gomal J Med Sci. 2012;10 [Google Scholar]
- 34.Normal length of fetal kidneys: sonographic study in 397 obstetric patients. Cohen HL, Cooper J, Eisenberg P, et al. AJR Am J Roentgenol. 1991;157:545–548. doi: 10.2214/ajr.157.3.1872242. [DOI] [PubMed] [Google Scholar]





