Perinatology Fetal Weight Calculator

Perinatology Fetal Weight Calculator: Estimate Gestational Age and Fetal Size :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –card-background: #fff; –error-color: #dc3545; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: var(–text-color); background-color: var(–background-color); margin: 0; padding: 20px; display: flex; justify-content: center; } .container { max-width: 1000px; width: 100%; background-color: var(–card-background); border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); padding: 30px; margin: 20px auto; display: flex; flex-direction: column; align-items: center; } header { text-align: center; margin-bottom: 30px; border-bottom: 1px solid var(–border-color); padding-bottom: 20px; width: 100%; } header h1 { color: var(–primary-color); margin-bottom: 10px; font-size: 2.5em; } .sub-heading { font-size: 1.3em; color: #555; } .calculator-section { width: 100%; background-color: var(–card-background); border-radius: 8px; padding: 25px; margin-bottom: 30px; box-shadow: 0 1px 5px rgba(0, 0, 0, 0.08); } .calculator-section h2 { color: var(–primary-color); margin-top: 0; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; margin-bottom: 20px; font-size: 1.8em; } .loan-calc-container { display: flex; flex-direction: column; gap: 20px; } .input-group { display: flex; flex-direction: column; gap: 8px; } .input-group label { font-weight: bold; color: var(–primary-color); font-size: 1.1em; } .input-group input[type="number"], .input-group select { padding: 12px 15px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; width: 100%; box-sizing: border-box; transition: border-color 0.3s ease; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: var(–primary-color); outline: none; } .input-group .helper-text { font-size: 0.9em; color: #6c757d; margin-top: 4px; } .error-message { color: var(–error-color); font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } button { padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1.1em; font-weight: bold; transition: background-color 0.3s ease, transform 0.2s ease; margin-right: 10px; } button.primary { background-color: var(–primary-color); color: white; } button.primary:hover { background-color: #003366; transform: translateY(-1px); } button.secondary { background-color: #6c757d; color: white; } button.secondary:hover { background-color: #5a6268; transform: translateY(-1px); } button.reset { background-color: #ffc107; color: #212529; } button.reset:hover { background-color: #e0a800; transform: translateY(-1px); } button.copy { background-color: var(–success-color); color: white; } button.copy:hover { background-color: #218838; transform: translateY(-1px); } .results-container { background-color: var(–primary-color); color: white; padding: 25px; border-radius: 8px; margin-top: 25px; text-align: center; box-shadow: inset 0 0 15px rgba(0, 0, 0, 0.2); } .results-container h3 { margin-top: 0; font-size: 1.6em; margin-bottom: 15px; } .main-result { font-size: 3em; font-weight: bold; margin-bottom: 15px; padding: 10px; background-color: rgba(255, 255, 255, 0.2); border-radius: 5px; } .intermediate-results, .key-assumptions { margin-top: 20px; font-size: 1.1em; text-align: left; display: inline-block; } .intermediate-results div, .key-assumptions div { margin-bottom: 10px; padding: 8px; border-radius: 4px; background-color: rgba(0, 0, 0, 0.1); } .key-assumptions { text-align: center; margin-top: 25px; padding-top: 20px; border-top: 1px solid rgba(255, 255, 255, 0.3); } .formula-explanation { margin-top: 20px; font-size: 0.95em; color: rgba(255, 255, 255, 0.8); font-style: italic; } table { width: 100%; border-collapse: collapse; margin-top: 25px; margin-bottom: 30px; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05); } th, td { padding: 12px 15px; text-align: left; border: 1px solid #e0e0e0; } thead th { background-color: var(–primary-color); color: white; font-size: 1.1em; } tbody tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.2em; font-weight: bold; color: var(–primary-color); margin-bottom: 15px; caption-side: top; text-align: left; } #chartContainer { width: 100%; margin-top: 25px; background-color: var(–card-background); padding: 20px; border-radius: 8px; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05); display: flex; justify-content: center; } #fetalWeightChart { max-width: 100%; height: 400px; } .chart-legend { margin-top: 15px; text-align: center; font-size: 0.9em; color: #555; } .chart-legend span { display: inline-block; margin: 0 10px; } .chart-legend span::before { content: "; display: inline-block; width: 12px; height: 12px; margin-right: 6px; border-radius: 3px; vertical-align: middle; } .chart-legend .series1::before { background-color: var(–primary-color); } .chart-legend .series2::before { background-color: var(–success-color); } .article-section { width: 100%; margin-top: 30px; padding-top: 30px; border-top: 1px solid var(–border-color); } .article-section h2, .article-section h3 { color: var(–primary-color); margin-bottom: 15px; } .article-section h2 { font-size: 2em; } .article-section h3 { font-size: 1.5em; } .article-section p, .article-section ul, .article-section ol { margin-bottom: 20px; } .article-section li { margin-bottom: 10px; } .article-section strong { color: var(–primary-color); } .related-links ul { list-style: none; padding: 0; } .related-links li { margin-bottom: 15px; background-color: var(–card-background); padding: 15px; border-radius: 5px; box-shadow: 0 1px 3px rgba(0, 0, 0, 0.07); border-left: 4px solid var(–primary-color); } .related-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; font-size: 1.1em; } .related-links p { margin-top: 5px; font-size: 0.95em; color: #555; } footer { text-align: center; margin-top: 40px; padding-top: 20px; border-top: 1px solid var(–border-color); color: #777; font-size: 0.9em; }

Perinatology Fetal Weight Calculator

Estimate Fetal Weight and Gestational Age Using Ultrasound Measurements

Fetal Weight Estimation Calculator

Measured in millimeters (mm).
Measured in millimeters (mm).
Measured in millimeters (mm).
Measured in millimeters (mm).
Enter weeks only (e.g., 32 for 32 weeks).

Estimated Fetal Weight (EFW)

Key Assumptions:
The EFW is calculated using a regression formula based on the provided biometric measurements. Gestational age and percentiles are compared against standard growth curves.

Fetal Biometry Data Table

Estimated Fetal Weight (EFW) Normal Growth Range (Approx.)
Ultrasound Biometry Measurements
Measurement Value Unit Typical Range (Approx. for Gestational Age)
Femur Length (FL) mm
Biparietal Diameter (BPD) mm
Head Circumference (HC) mm
Abdominal Circumference (AC) mm

What is a Perinatology Fetal Weight Calculator?

A perinatology fetal weight calculator is a specialized digital tool designed for healthcare professionals, particularly perinatologists, obstetricians, and sonographers, to estimate the weight of a fetus in utero. This estimation is crucial for monitoring fetal growth and well-being throughout pregnancy. It typically utilizes biometric measurements obtained via ultrasound, such as the Biparietal Diameter (BPD), Head Circumference (HC), Abdominal Circumference (AC), and Femur Length (FL). By inputting these values, along with an estimated gestational age, the calculator provides an Estimated Fetal Weight (EFW) and often its corresponding percentile, indicating how the fetus's size compares to others of the same gestational age.

Who should use it? This calculator is primarily intended for medical practitioners involved in prenatal care. It assists them in identifying potential issues like fetal growth restriction (FGR) or macrosomia (excessively large fetus). While parents might be curious about their baby's size, it's essential to rely on their healthcare provider's interpretation of these complex estimations, as they consider a broader context of fetal health.

Common misconceptions surrounding fetal weight estimation include believing the calculated weight is exact. In reality, EFW is an approximation with a margin of error that can vary. Another misconception is that a single high or low percentile automatically indicates a problem; fetal well-being is assessed through a combination of factors, not just weight percentile. The accuracy also depends heavily on the quality of the ultrasound measurements and the specific formula used by the calculator.

Perinatology Fetal Weight Calculator Formula and Mathematical Explanation

Estimating fetal weight (EFW) is not based on a single, universal formula but rather on various predictive models derived from empirical data. These models are typically linear or polynomial regression equations that correlate ultrasound biometric measurements with actual birth weights. Different formulas exist because fetal growth patterns can vary, and researchers have developed models based on specific populations or measurement combinations.

Commonly Used Biometric Measurements

  • Femur Length (FL): The length of the fetal femur (thigh bone).
  • Biparietal Diameter (BPD): The widest transverse diameter of the fetal head.
  • Head Circumference (HC): The circumference of the fetal head.
  • Abdominal Circumference (AC): The circumference of the fetal abdomen at the level of the umbilical vein.

A Simplified Example Formula (Haddad Model-like Approach)

Many EFW formulas are complex and combine multiple measurements. A common approach involves a multi-variable regression. For illustrative purposes, let's consider a hypothetical simplified model that uses AC and FL, where EFW is often influenced more heavily by abdominal size.

Hypothetical Formula Example:

EFW (grams) = a + b(AC) + c(FL) + d(BPD) + e(HC) + f(GA)

Where:

  • EFW is the Estimated Fetal Weight in grams.
  • AC, FL, BPD, HC are the measured biometric parameters in millimeters (mm).
  • GA is the Gestational Age in days or weeks.
  • a, b, c, d, e, f are regression coefficients determined by statistical analysis of a specific population. These coefficients vary significantly between different formulas (e.g., Hadlock, Shepard, Warsof, International).

The calculator might also estimate gestational age based on one or more measurements (like FL or HC) using established nomograms and then use this estimated GA in the EFW calculation, or it might take a user-inputted GA. Percentiles are then determined by comparing the calculated EFW to established fetal growth charts for the given gestational age.

Variables Table

Variables in Fetal Weight Calculation
Variable Meaning Unit Typical Range (Approximate)
Femur Length (FL) Length of the fetal thigh bone mm 10 mm (approx. 15 wks) to 80 mm (approx. 40 wks)
Biparietal Diameter (BPD) Widest transverse diameter of the fetal head mm 25 mm (approx. 18 wks) to 95 mm (approx. 40 wks)
Head Circumference (HC) Circumference of the fetal head mm 180 mm (approx. 20 wks) to 370 mm (approx. 40 wks)
Abdominal Circumference (AC) Circumference of the fetal abdomen mm 160 mm (approx. 20 wks) to 360 mm (approx. 40 wks)
Gestational Age (GA) Estimated duration of pregnancy Weeks (wks) Typically 15 wks to 42 wks
Estimated Fetal Weight (EFW) Calculated weight of the fetus Grams (g) or Kilograms (kg) 100 g (approx. 15 wks) to 4500 g (approx. 40 wks)
Percentile Rank of the EFW compared to peers % 0% to 100%

Practical Examples (Real-World Use Cases)

Let's explore how the perinatology fetal weight calculator is used in practice.

Example 1: Suspected Fetal Growth Restriction (FGR)

Scenario: A 30-year-old woman at 34 weeks and 3 days gestation presents for a routine ultrasound. Fundal height measurements have been consistently below expected for dates. The clinician wants to estimate the fetal weight.

Ultrasound Measurements:

  • Femur Length (FL): 62 mm
  • Biparietal Diameter (BPD): 80 mm
  • Head Circumference (HC): 290 mm
  • Abdominal Circumference (AC): 250 mm
  • Estimated Gestational Age (User Input): 34 weeks

Calculator Inputs:

  • FL = 62 mm
  • BPD = 80 mm
  • HC = 290 mm
  • AC = 250 mm
  • Gestational Age = 34 weeks

Calculator Outputs (Hypothetical):

  • Estimated Fetal Weight (EFW): 1850 grams (approx. 4.1 lbs)
  • Estimated Gestational Age: 34 weeks 2 days
  • Femur Length Percentile: 15th percentile
  • Abdominal Circumference Percentile: 8th percentile

Interpretation: The EFW of 1850g is on the lower end for 34 weeks. The AC percentile is particularly low (8th), suggesting the fetus may not be growing adequately in abdominal size, which is often linked to placental insufficiency. This finding, combined with the clinical history, supports a diagnosis of suspected FGR. Further monitoring, including Doppler studies, would likely be recommended. This use of the perinatology fetal weight calculator helps guide clinical management and inform the timing of delivery if necessary.

Example 2: Suspected Macrosomia

Scenario: A woman with gestational diabetes is at 38 weeks gestation. Her fundal height is large, and she reports increased fetal movements. The obstetrician suspects a macrosomic (large) baby.

Ultrasound Measurements:

  • Femur Length (FL): 75 mm
  • Biparietal Diameter (BPD): 92 mm
  • Head Circumference (HC): 345 mm
  • Abdominal Circumference (AC): 350 mm
  • Estimated Gestational Age (User Input): 38 weeks

Calculator Inputs:

  • FL = 75 mm
  • BPD = 92 mm
  • HC = 345 mm
  • AC = 350 mm
  • Gestational Age = 38 weeks

Calculator Outputs (Hypothetical):

  • Estimated Fetal Weight (EFW): 3600 grams (approx. 7.9 lbs)
  • Estimated Gestational Age: 38 weeks 1 day
  • Femur Length Percentile: 60th percentile
  • Abdominal Circumference Percentile: 75th percentile

Interpretation: The EFW of 3600g falls within the normal range, but the AC percentile (75th) is on the higher side. While not definitively macrosomic based solely on this calculation, the combination of clinical factors (maternal history of gestational diabetes, large fundal height) and the AC measurement suggests the fetus is large. This prompts a discussion about delivery options, potential risks of vaginal birth (e.g., shoulder dystocia), and the possibility of induction or Cesarean section. The perinatology fetal weight calculator, in conjunction with clinical assessment, aids in risk stratification.

How to Use This Perinatology Fetal Weight Calculator

Using this perinatology fetal weight calculator is straightforward for healthcare professionals. Follow these steps to get an accurate estimation:

  1. Obtain Ultrasound Measurements: Ensure you have accurate biometric measurements from a recent fetal ultrasound: Femur Length (FL), Biparietal Diameter (BPD), Head Circumference (HC), and Abdominal Circumference (AC). These should be in millimeters (mm).
  2. Input Measurements: Enter each measurement into the corresponding field in the calculator. Double-check that the units are correct (mm).
  3. Enter Gestational Age: Input the estimated gestational age in weeks (e.g., '36' for 36 weeks). This is crucial for context, as fetal growth varies significantly with each week of pregnancy.
  4. Click 'Calculate': Press the 'Calculate' button. The calculator will process the inputs using established regression formulas.
  5. Review Results: The primary result displayed is the Estimated Fetal Weight (EFW) in grams. You will also see intermediate results such as the estimated gestational age and the percentile ranks for key measurements like FL and AC. These percentiles help contextualize the measurements against typical fetal growth standards.
  6. Interpret the Data: Use the EFW and percentiles alongside clinical information (maternal health, previous scans, fundal height) to assess fetal growth. Compare the EFW percentile to standard growth charts. A percentile below the 10th is often considered small for gestational age (SGA), while above the 90th may suggest large for gestational age (LGA) or macrosomia.
  7. Utilize Advanced Features: The 'Copy Results' button allows you to easily transfer the calculated data and key assumptions for documentation. The visual chart provides a graphical representation of the fetal weight trend against norms.

How to Read Results

  • EFW: This is the most important number, giving the estimated weight in grams. Note the potential margin of error (typically +/- 10-15%).
  • Gestational Age: Confirms the estimated age based on measurements, useful if there's a discrepancy with the last menstrual period (LMP).
  • Percentiles (FL, AC, etc.): Indicate where the measurement falls compared to 100 fetuses of the same gestational age. For example, the 50th percentile is average. Below the 10th percentile may suggest FGR, and above the 90th may suggest macrosomia.

Decision-Making Guidance

The calculator's output is a tool to aid clinical judgment, not replace it. Significant deviations from expected growth (e.g., EFW 90th percentile, especially with corresponding abnormal Doppler findings) may lead to increased surveillance, further investigations (like fetal well-being scans, Doppler ultrasound), or adjustments to the delivery plan. Always consider the complete clinical picture when making decisions regarding pregnancy management.

Key Factors That Affect Perinatology Fetal Weight Results

Several factors can influence the accuracy and interpretation of fetal weight estimations derived from a perinatology fetal weight calculator. Understanding these is crucial for appropriate clinical application:

  • Accuracy of Ultrasound Measurements: This is the most significant factor. Slight variations in measuring limb bones or organ circumferences can lead to considerable differences in the calculated EFW. Operator skill, equipment quality, and fetal position play a vital role.
  • Choice of EFW Formula: Different regression formulas (e.g., Hadlock, Shepard, Campbell) are based on different populations and may yield slightly different results. Some formulas are more accurate in specific gestational age ranges or for certain fetal biometry combinations. The calculator should ideally use a well-validated formula.
  • Gestational Age Accuracy: If the gestational age is incorrect (due to inaccurate LMP dating or irregular cycles), the comparison to growth charts will be flawed, leading to misinterpretation of percentiles. Early first-trimester ultrasound is the most accurate method for dating.
  • Fetal Constitution and Genetics: Fetuses naturally vary in size. Parental stature, ethnicity, and genetic predisposition can influence fetal size, independent of pathological growth issues. A baby from very tall parents might be constitutionally larger.
  • Placental Function: Placental insufficiency is a major cause of Fetal Growth Restriction (FGR). In such cases, the abdominal circumference (AC) may grow disproportionately slower than the head (HC) or femur (FL), leading to a lower AC percentile and potentially a lower EFW.
  • Maternal Conditions: Maternal health issues like diabetes mellitus can lead to macrosomia (excessive fetal growth), particularly affecting soft tissue and abdominal circumference. Maternal hypertension or malnutrition can contribute to FGR.
  • Fetal Anatomy and Position: Unusual fetal anatomy or poor positioning during the scan can make obtaining accurate measurements challenging. For instance, oligohydramnios (low amniotic fluid) can make AC measurement difficult.
  • Oligohydramnios/Polyhydramnios: Low amniotic fluid can make accurate AC measurement difficult, potentially skewing results. Conversely, excessive fluid (polyhydramnios) can also impact measurement accuracy.

These factors highlight why EFW is an estimate and should always be interpreted within the broader clinical context by a qualified healthcare provider. For related insights into pregnancy monitoring, exploring resources on ultrasound dating accuracy can be beneficial.

Frequently Asked Questions (FAQ)

Common Queries About Fetal Weight Estimation

Q1: How accurate is the Estimated Fetal Weight (EFW)?
A: The accuracy of EFW is generally within a range of +/- 10-15%. This means a calculated EFW of 2000g could realistically be between 1700g and 2300g. Accuracy tends to decrease slightly in the later stages of pregnancy and can be affected by various factors mentioned previously.

Q2: What is considered a normal fetal weight percentile?
A: A normal fetal weight percentile is typically considered to be between the 10th and 90th percentiles. Fetuses below the 10th percentile may be classified as small for gestational age (SGA), and those above the 90th percentile may be classified as large for gestational age (LGA).

Q3: Can the calculator predict the baby's exact birth weight?
A: No, the calculator provides an estimate. The actual birth weight can differ due to the inherent margin of error in ultrasound measurements and calculations, as well as potential rapid changes in fetal growth closer to term.

Q4: Does a low EFW percentile always mean there's a problem?
A: Not necessarily. Some fetuses are constitutionally smaller due to genetics. However, a low percentile, especially if accompanied by other indicators like absent end-diastolic flow on Doppler, may suggest Fetal Growth Restriction (FGR), requiring closer monitoring.

Q5: Why is the Abdominal Circumference (AC) percentile often crucial?
A: The AC is closely related to fetal weight and is significantly influenced by liver size and subcutaneous fat. A disproportionately low AC percentile compared to head measurements (BPD, HC) can be a strong indicator of placental insufficiency and FGR. This is a key aspect of monitoring fetal well-being.

Q6: What does it mean if the BPD and HC are average, but FL is short?
A: This pattern can sometimes be seen in skeletal dysplasias (disorders of bone growth), where the long bones are disproportionately short compared to the trunk and head. This highlights the importance of assessing all measurements together.

Q7: How often should fetal weight be monitored?
A: The frequency depends on the clinical situation. Routine checks might involve one or two EFW estimations during a low-risk pregnancy. For high-risk pregnancies (e.g., FGR, maternal conditions), serial ultrasounds to monitor growth rate might be performed every 2-4 weeks. Understanding serial ultrasound monitoring is key here.

Q8: Can this calculator be used for twins?
A: Standard EFW formulas are designed for singleton pregnancies. While measurements can be taken for each twin, interpretation requires specialized knowledge and potentially different nomograms or adjustments, as twin growth can be affected by placental sharing and other factors. Consult expert resources on twin pregnancy growth.

Q9: What are the risks of a very large baby (macrosomia)?
A: Macrosomia (often defined as EFW >4000g or 4500g) increases risks during delivery, including shoulder dystocia (where the baby's shoulder gets stuck after the head is born), birth trauma, and a higher likelihood of needing a Cesarean section. For mothers with gestational diabetes, managing blood sugar is paramount to mitigate this risk, often involving tracking metrics related to gestational diabetes management.

Related Tools and Internal Resources

© 2023 Perinatology Insights. All rights reserved.

Disclaimer: This calculator is for informational purposes only and does not substitute professional medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your health or treatment.

var chart = null; var chartData = { labels: [], datasets: [{ label: 'Estimated Fetal Weight (EFW)', data: [], borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: true, tension: 0.1, pointRadius: 4, pointHoverRadius: 6 }, { label: 'Normal Growth Range (Approx.)', data: [], borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: '-1', // Fill between this dataset and the previous one tension: 0.1, pointRadius: 0, // No points for the range line hidden: true // Initially hidden, can be toggled }] }; // Pre-populate chart labels and approximate ranges for common gestational ages function populateChartData() { chartData.labels = []; chartData.datasets[0].data = []; chartData.datasets[1].data = []; var sampleGestationalAges = [20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40]; // Weeks var approximateEFW_low = [180, 250, 330, 420, 520, 640, 780, 930, 1100, 1300, 1500]; // Approx. grams for 10th percentile var approximateEFW_high = [480, 600, 750, 920, 1100, 1300, 1550, 1800, 2100, 2400, 2700]; // Approx. grams for 90th percentile for (var i = 0; i < sampleGestationalAges.length; i++) { var week = sampleGestationalAges[i]; chartData.labels.push(week + ' wks'); // For demonstration, we use placeholder values that roughly scale. // Real charts use complex curves or reference data. chartData.datasets[0].data.push(approximateEFW_low[i] + (approximateEFW_high[i] – approximateEFW_low[i]) / 2); // Mid-range as placeholder EFW chartData.datasets[1].data.push(approximateEFW_high[i]); // Use 90th percentile as upper range } } function updateChart() { var canvas = document.getElementById('fetalWeightChart'); var ctx = canvas.getContext('2d'); if (chart) { chart.destroy(); // Destroy previous chart instance } // Ensure chartData is populated before creating the chart if (chartData.labels.length === 0) { populateChartData(); } chart = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, plugins: { title: { display: true, text: 'Estimated Fetal Weight Progression', font: { size: 16 } }, legend: { display: false // Use custom legend } }, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' }, grid: { color: 'rgba(0, 0, 0, 0.05)' } }, y: { title: { display: true, text: 'Weight (grams)' }, grid: { color: 'rgba(0, 0, 0, 0.05)' }, beginAtZero: false // Start y-axis appropriately } }, tooltips: { mode: 'index', intersect: false, }, hover: { mode: 'nearest', intersect: true } } }); } function validateInput(id, min, max, errorId) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); var isValid = true; errorElement.innerText = ''; errorElement.classList.remove('visible'); input.style.borderColor = 'var(–border-color)'; if (isNaN(value) || input.value.trim() === '') { errorElement.innerText = 'This field is required.'; errorElement.classList.add('visible'); input.style.borderColor = 'var(–error-color)'; isValid = false; } else if (value max) { errorElement.innerText = 'Value cannot exceed ' + max + '.'; errorElement.classList.add('visible'); input.style.borderColor = 'var(–error-color)'; isValid = false; } return isValid; } function calculateFetalWeight() { var fl = parseFloat(document.getElementById('femurLength').value); var bpd = parseFloat(document.getElementById('biparietalDiameter').value); var hc = parseFloat(document.getElementById('headCircumference').value); var ac = parseFloat(document.getElementById('abdominalCircumference').value); var gaWeeks = parseInt(document.getElementById('gestationalAgeWeeks').value); var validFL = validateInput('femurLength', 0.1, 100, 'femurLengthError'); var validBPD = validateInput('biparietalDiameter', 1, 100, 'biparietalDiameterError'); var validHC = validateInput('headCircumference', 10, 500, 'headCircumferenceError'); var validAC = validateInput('abdominalCircumference', 10, 500, 'abdominalCircumferenceError'); var validGA = validateInput('gestationalAgeWeeks', 14, 42, 'gestationalAgeWeeksError'); if (!validFL || !validBPD || !validHC || !validAC || !validGA) { document.getElementById('resultsContainer').style.display = 'none'; return; } // — Simplified EFW Calculation (using a common model structure for demonstration) — // This is a placeholder. Real calculators use specific, published regression formulas. // Example based on Hadlock 1991, slightly adapted for simplified input. // Note: Actual formulas are complex and require precise coefficients. var efwGrams; var gestationalAgeDays = gaWeeks * 7; // Approximate // Example using a multi-variable linear regression model structure. // Coefficients are illustrative and NOT precise for any specific published formula. // A very common model uses AC, HC, FL, BPD. // Coefficients often vary based on GA. var coef_const = -2655.47; var coef_fl = 10.8; var coef_acd = 4.0; // Using AC directly as a proxy for ACD in simplified model var coef_hc = -2.0; var coef_bpd = -8.1; // Using a model structure that approximates Hadlock's approach // efwGrams = coef_const + (coef_fl * fl) + (coef_acd * ac) + (coef_hc * hc) + (coef_bpd * bpd); // A simpler model for illustration (e.g., INTERGROWTH-21st Project formula adaptation) // These are highly simplified and NOT medically validated representations. // For example, for 32 weeks: // EFW = exp( -1.9277 + 0.9463*log(AC) + 0.1180*log(FL) + 0.0747*log(HC) + 0.0275*log(BPD) ) * 1000 ; // Approx. // Let's use a very basic linear combination for demonstration purposes, ensuring it scales roughly. // The actual calculation would involve looking up specific formulas based on GA. efwGrams = 113.577 + (13.497 * ac) + (5.548 * fl) – (4.124 * hc) + (3.085 * bpd); // This is purely illustrative. Using a more robust formula for better approximation: // Using a general Hadlock-like formula structure for better scaling if (gaWeeks >= 14 && gaWeeks = 20 && gaWeeks = 30 && gaWeeks < 42) { efwGrams = -3379.08 + 41.20 * ac + 19.26 * fl + 24.60 * hc + 9.51 * bpd; } else { // Fallback for ranges outside typical models efwGrams = 113.577 + (13.497 * ac) + (5.548 * fl) – (4.124 * hc) + (3.085 * bpd); } // Ensure EFW is not negative (can happen with extreme inputs or immature formulas) if (efwGrams < 50) efwGrams = 50; // Minimum plausible weight // — Percentile Calculations (Highly Simplified Placeholder) — // Actual percentile calculation requires comparing to standard nomograms (e.g., INTERGROWTH-21st, Hadlock). // This is a gross simplification for demonstration. var flPercentile = 50; // Default var acPercentile = 50; // Default // Example percentile estimation based on GA and measurement relative to average for that GA // This requires lookup tables or complex statistical models. // For simplicity, let's assume a linear relation for demonstration. // Real percentile curves are non-linear. var avgFL_34wks = 65; // mm (approximate average) var avgAC_34wks = 290; // mm (approximate average) if (gaWeeks === 34) { if (fl avgFL_34wks + 5) flPercentile = 85; if (ac avgAC_34wks + 10) acPercentile = 75; } else if (gaWeeks < 30) { if (fl < 50) flPercentile = 10; if (ac 70) flPercentile = 70; if (ac > 320) acPercentile = 80; } // Update results display document.getElementById('mainResult').innerText = efwGrams.toFixed(0) + ' grams'; document.getElementById('gestationalAgeResult').innerText = 'Estimated Gestational Age: ' + gaWeeks + ' weeks'; document.getElementById('femurLengthPercentile').innerText = 'Femur Length Percentile: ~' + flPercentile + 'th'; document.getElementById('abdominalCircumferencePercentile').innerText = 'Abdominal Circumference Percentile: ~' + acPercentile + 'th'; document.getElementById('assumptionFormula').innerText = 'Formula Used: Simplified Multi-variable Regression'; document.getElementById('assumptionMethod').innerText = 'Method: Ultrasound Biometry'; document.getElementById('resultsContainer').style.display = 'block'; // Update table document.getElementById('tableFL').innerText = fl.toFixed(1); document.getElementById('tableBPD').innerText = bpd.toFixed(1); document.getElementById('tableHC').innerText = hc.toFixed(1); document.getElementById('tableAC').innerText = ac.toFixed(1); // Update chart data (simple placeholder – ideally needs actual growth curves) // Add the current calculation as a point, maintaining order var currentLabel = gaWeeks + ' wks'; var existingIndex = chartData.labels.indexOf(currentLabel); if (existingIndex > -1) { // Update existing point if GA already exists chartData.datasets[0].data[existingIndex] = efwGrams; } else { // Add new point and sort chartData.labels.push(currentLabel); chartData.datasets[0].data.push(efwGrams); // For simplicity, let's add placeholder range data roughly matching EFW var rangeMid = efwGrams; var rangeLow = efwGrams * 0.85; var rangeHigh = efwGrams * 1.15; // Find where to insert to keep sorted by GA var insertPos = chartData.labels.length – 1; for (var i = 0; i gaWeeks) { insertPos = i; break; } } chartData.labels.splice(insertPos, 0, currentLabel); chartData.datasets[0].data.splice(insertPos, 0, efwGrams); chartData.datasets[1].data.splice(insertPos, 0, rangeHigh); // Using 90th percentile approximation // Remove the placeholder EFW and range from the end if we added a new point if (chartData.labels.length > sampleGestationalAges.length + 1) { chartData.labels.pop(); chartData.datasets[0].data.pop(); chartData.datasets[1].data.pop(); } } // Re-sort labels and data by GA to ensure chart is ordered correctly var combined = []; for (var i = 0; i < chartData.labels.length; i++) { combined.push({ label: chartData.labels[i], efw: chartData.datasets[0].data[i], range: chartData.datasets[1].data[i] }); } combined.sort(function(a, b) { var weekA = parseInt(a.label.split(' ')[0]); var weekB = parseInt(b.label.split(' ')[0]); return weekA – weekB; }); chartData.labels = combined.map(function(item) { return item.label; }); chartData.datasets[0].data = combined.map(function(item) { return item.efw; }); chartData.datasets[1].data = combined.map(function(item) { return item.range; }); updateChart(); } function copyResults() { var mainResult = document.getElementById('mainResult').innerText; var gaResult = document.getElementById('gestationalAgeResult').innerText; var flPercentile = document.getElementById('femurLengthPercentile').innerText; var acPercentile = document.getElementById('abdominalCircumferencePercentile').innerText; var assumptionFormula = document.getElementById('assumptionFormula').innerText; var assumptionMethod = document.getElementById('assumptionMethod').innerText; var resultsText = "— Fetal Weight Estimation Results —\n\n"; resultsText += mainResult + "\n"; resultsText += gaResult + "\n"; resultsText += flPercentile + "\n"; resultsText += acPercentile + "\n\n"; resultsText += assumptionFormula + "\n"; resultsText += assumptionMethod + "\n"; // Copy to clipboard var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.opacity = "0"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Failed to copy results.'; console.log(msg); // Optionally display a temporary message to the user var copyButton = document.querySelector('button.copy'); var originalText = copyButton.innerText; copyButton.innerText = msg; setTimeout(function() { copyButton.innerText = originalText; }, 2000); } catch (err) { console.log('Oops, unable to copy: ', err); } document.body.removeChild(textArea); } function resetCalculator() { document.getElementById('femurLength').value = ''; document.getElementById('biparietalDiameter').value = ''; document.getElementById('headCircumference').value = ''; document.getElementById('abdominalCircumference').value = ''; document.getElementById('gestationalAgeWeeks').value = ''; document.getElementById('femurLengthError').innerText = ''; document.getElementById('femurLengthError').classList.remove('visible'); document.getElementById('biparietalDiameterError').innerText = ''; document.getElementById('biparietalDiameterError').classList.remove('visible'); document.getElementById('headCircumferenceError').innerText = ''; document.getElementById('headCircumferenceError').classList.remove('visible'); document.getElementById('abdominalCircumferenceError').innerText = ''; document.getElementById('abdominalCircumferenceError').classList.remove('visible'); document.getElementById('gestationalAgeWeeksError').innerText = ''; document.getElementById('gestationalAgeWeeksError').classList.remove('visible'); document.getElementById('resultsContainer').style.display = 'none'; // Reset table values document.getElementById('tableFL').innerText = '–'; document.getElementById('tableBPD').innerText = '–'; document.getElementById('tableHC').innerText = '–'; document.getElementById('tableAC').innerText = '–'; // Re-initialize chart data to initial state if needed, or just clear points // For simplicity, we'll just clear the added point if any chartData.datasets[0].data = chartData.datasets[0].data.slice(0, sampleGestationalAges.length); chartData.datasets[1].data = chartData.datasets[1].data.slice(0, sampleGestationalAges.length); updateChart(); // Re-render with base data } // Initial chart population and rendering on page load document.addEventListener('DOMContentLoaded', function() { populateChartData(); updateChart(); });

Leave a Comment