What score is osteopenia?
What score is osteopenia?
People with osteopenia have a T-score between -1.1 and -2.4. If you have other risk factors for fracture (see ‘Risk factors for fracture’ above) and have a T-score in the osteopenic range, you may be at high risk for fracture. People with low bone mass are usually advised to take steps to prevent osteoporosis.
What is a normal healthy DEXA score?
It is important to understand a T score of -1 and above is perfectly normal once over 50. A T score between -1 and -2.5 indicates lower than normal bone density for age – this is referred to as osteopenia. A score lower than -2.5 indicates significant bone loss – 25% or more and this is classified as osteoporosis.
How do you read a DEXA scan Z-score?
A Z-score compares your bone density to the average values for a person of your same age and gender. A low Z-score (below -2.0) is a warning sign that you have less bone mass (and/or may be losing bone more rapidly) than expected for someone your age.
How do I read my DEXA scan results?
Understanding DXA Results
- A T-score of -1.0 or above is normal bone density. Examples are 0.9, 0 and -0.9.
- A T-score between -1.0 and -2.5 means you have low bone mass or osteopenia. Examples are T-scores of -1.1, -1.6 and -2.4.
- A T-score of -2.5 or below is a diagnosis of osteoporosis.
How do you read a DEXA bone density test?
The lower your score, the weaker your bones are:
- T-score of -1.0 or above = normal bone density.
- T-score between -1.0 and -2.5 = low bone density, or osteopenia.
- T-score of -2.5 or lower = osteoporosis.
How do you read a DEXA bone density report?
How do you read a bone density scan?
Bone density test results
- A T-score within 1 SD (+1 or -1) of the young adult mean indicates normal bone density.
- A T-score of 1 to 2.5 SD below the young adult mean (-1 to -2.5 SD) indicates low bone mass.
- A T-score of 2.5 SD or more below the young adult mean (more than -2.5 SD) indicates the presence of osteoporosis.
What is the difference between T-score and Z-score?
Z score is the subtraction of the population mean from the raw score and then divides the result with population standard deviation. T score is a conversion of raw data to the standard score when the conversion is based on the sample mean and sample standard deviation.