What is the precision measurement factor at a 95% confidence level for a bone densitometry assessment?

• A. 1.84 x precision
• B. 2.33 x precision
• C. 2.77 x precision
• D. 3.14 x precision

Answer: (C)

The precision measurement factor at a 95% confidence level in a bone densitometry assessment is derived from the statistical properties of the normal distribution. When measuring bone density, it is essential to understand how to interpret the distribution of results and the associated confidence intervals.

For a normal distribution, the value corresponding to a 95% confidence level is approximately 1.96, which is used to calculate the confidence interval for a measurement around the mean. However, depending on the context of bone densitometry and factors influencing precision, such as variability within the population being measured, a more specific multiplier may be applied.

In this case, the factor of 2.77 reflects the precision specifically relevant to advanced assessments in bone densitometry. This means that for precise measurements that need a higher level of assurance in clinical settings, multiplying the standard deviation by a factor of 2.77 yields a confidence interval that is both comprehensive and statistically sound for understanding the results in a clinical context where accuracy is paramount.

Understanding this factor is crucial for practitioners and radiologic technologists, as it helps them provide reliable interpretations of bone density results and communicate this effectively to healthcare providers and patients.