.Get_reference_z_score

For a given constellation of metric, sex, vertebral level, and age returns the corresponding z-score for a given measurement

Get z-scores, percentiles, absolute values, and percent of predicted of a reference cohort.
Functionality requires installing the data packages 'adiposerefdata' and 'musclerefdata'.
For more information on the underlying research, please visit our website which also includes a graphical interface.
The models and underlying data are described in
Marquardt JP et al.(planned publication 2025; reserved doi 10.1097/RLI.0000000000001104),
"Subcutaneous and Visceral adipose tissue Reference Values from Framingham Heart Study Thoracic and Abdominal CT",
*Investigative Radiology*
and
Tonnesen PE et al. (2023),
"Muscle Reference Values from Thoracic and Abdominal CT for Sarcopenia Assessment [column] The Framingham Heart Study",
*Investigative Radiology*,
<doi:10.1097/RLI.0000000000001012>.

J. Marquardt

bodycompref

Reference Values for CT-Assessed Body Composition

J. Peter Marquardt

.Get_reference_z_score function

<dl><dt>metric</dt>
<dd>character, body composition metric</dd>
<dt>sex</dt>
<dd>character, "Female" or "Male"</dd>
<dt>level</dt>
<dd>character, used vertebral level</dd>
<dt>age</dt>
<dd>integer, age</dd>
<dt>measurement</dt>
<dd>numeric, raw value of measurement</dd>
<dt>verbose</dt>
<dd>logical, should messages be displayed</dd>
<dt>digits</dt>
<dd>integer, digits to round percentile to</dd></dl>

Arguments

Author

Get z-score for a given combination of model and measurement — .Get_reference_z_score

<dl>

<dt>metric</dt>
<dd>character, body composition metric</dd>


<dt>sex</dt>
<dd>character, "Female" or "Male"</dd>


<dt>level</dt>
<dd>character, used vertebral level</dd>


<dt>age</dt>
<dd>integer, age</dd>


<dt>measurement</dt>
<dd>numeric, raw value of measurement</dd>


<dt>verbose</dt>
<dd>logical, should messages be displayed</dd>


<dt>digits</dt>
<dd>integer, digits to round percentile to</dd>

</dl>

.Get_reference_z_score: Get z-score for a given combination of model and measurement

Description

Usage

Value

Arguments

Author