Craniofacial Anthropometry: Normative Data for Caucasian Infants

Rushil R Dang1, Carly E Calabrese1, Hamad M Burashed2

  • 1Department of Plastic and Oral Surgery, Boston Children's Hospital.

Insights

This study establishes normative craniofacial measurements for Caucasian infants, crucial for diagnosing facial differences. The data aids researchers in evaluating craniofacial anomalies in this population.

Area of Science:

  • Craniofacial anthropometry
  • Pediatric medicine
  • Medical imaging

Background:

  • Craniofacial anthropometry is vital for assessing facial development and treatment outcomes.
  • Limited databases exist for normal infant craniofacial measurements.

Purpose of the Study:

  • To establish normative craniofacial anthropometric data for Caucasian infants.
  • To provide a reference for diagnosing facial dysmorphology in infants.

Main Methods:

  • Prospective, cross-sectional study of Caucasian infants (≤12 months).
  • Exclusion of infants with craniofacial deformities, trauma, or operations.
  • 3D photographs used to plot 45 points and derive 37 measurements.
  • Inter- and intra-rater reliability assessed using Intraclass Correlation Coefficients (ICC).

Main Results:

  • Thirty-three Caucasian infants (mean age 6.3 months) were analyzed.
  • Data stratified into four age groups (0-3, 3.1-6, 6.1-9, 9.1-12 months).
  • Acceptable inter- and intra-rater agreement (ICC > 0.6) for 21 measurements.

Conclusions:

  • Normative craniofacial anthropometric measurements for Caucasian infants were successfully generated.
  • This data is valuable for research on craniofacial anomalies in infants.
  • Provides a baseline for future studies and clinical applications.
Abstract

Related Concept Videos

Drug Dosing: Infants and Children01:29

Drug Dosing: Infants and Children

Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
266
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.2K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
43.3K
Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
8.0K
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.4K