Related Experiment Video
Updated: Oct 11, 2025

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
Development of Sacral Ratio Percentile Card for Children: A Preliminary Report
Kutay Bahadir1, Bilgesu Arikan-Ergun2, Atilla Halil Elhan3
1Department of Pediatric Surgery, Ankara University School of Medicine, Ankara, Turkey.
Insights
The sacral ratio in children under one year old has a consistent mean but varies with age for pathological values. A percentile card aids in age-independent evaluation of sacrospinal anomalies, improving clinical assessment.
Area of Science:
- Pediatric Radiology
- Skeletal Dysplasias
- Anorectal Malformations
Background:
- Sacrospinal anomalies are linked to incontinence in anorectal malformation patients.
- The sacral ratio is a proposed indicator for prognosis and further investigation of sacrospinal anomalies.
- Existing literature presents varied normal and decisive values for the sacral ratio.
Purpose of the Study:
- To determine the sacral ratio distribution in children under 12 months.
- To develop an age-independent sacral ratio percentile card for clinical use.
Main Methods:
- Retrospective review of anteroposterior pelvic radiographs of 360 patients under 1 year old.
- Sacral ratio analysis performed on 30 patients per month.
- Development of a percentile card using LMS software with 1-10% reference values.
Main Results:
- Observed sacral ratio values ranged from 0.514 to 0.936.
- No significant monthly variation in mean sacral ratio was detected (p=0.191).
- Low percentile values showed minor differences in the first four months of life.
Conclusions:
- While the mean sacral ratio is stable in the first year, age-dependent percentile limits define pathological values.
- A sacral ratio percentile card offers a more valuable, age-independent parametric evaluation compared to fixed clinical values.
Introduction:
Sacrospinal anomalies that may accompany anorectal malformations may cause fecal and urinary incontinence despite proper anomaly treatment. The sacral ratio has been suggested in the determination of both the prognosis in terms of incontinence and the need for further examination for sacrospinal anomalies. The normal and clinically decisive values of sacral ratio are given differently in publications. We aimed to determine the distribution of the sacral ratio in children under 12 months and to develop the sacral ratio percentile card that will enable one to give an age-independent parametric result in clinical evaluations.
Materials And Methods:
The files of patients under 1 year of age who had anteroposterior direct radiography including pelvis were reviewed retrospectively. Sacral ratio was studied for 360 patients, 30 patients per month. Percentile card was developed with LMS software and reference values were used as 1, 2, 3, 4, and 10%.
Results:
The lowest sacral ratio value was 0.514 and the highest value was 0.936. There was no statistical difference between the mean sacral ratio of the cases when they were classified on a monthly basis (p = 0.191). Low percentile values were found slightly different at first 4 months of age.
Conclusion:
Although the mean of sacral ratio does not change significantly during the first year of life, values that are considered pathological for patients are within different percentile limits depending on age. Instead of using sacral ratio with some clinically decisive values, we think that parametric evaluation with the help of the percentile card will increase its clinical value.
Related Concept Videos
Percentile
z Scores and Area Under the Curve
Percentage Frequency Distribution
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
Applications of Normal Distribution
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
Variation: Normal Distribution, Range, and Standard Deviation
Review and Preview
Percentiles are a type of fractile that partition data into...

