Abstract: A pharmacy preparation system, apparatus, and method are disclosed. In an example, a pharmacy preparation system receives information indicative of a soft tissue peak for a mid-section of a patient. The soft tissue peak corresponds to a local peak in a range of ?50 Hounsfield Units (“HU”) to 80 HU. The pharmacy preparation system next determines a dosing regimen as a total volume of a nutrition solution to be infused per a time period based on the soft tissue peak and at least one of a gender, a height, or an ideal body weight of the patient. The pharmacy preparation system then determines administration parameters for a parenteral nutrition pump based on the dosing regimen. The pharmacy preparation system transmits an administration message to the parenteral nutrition pump to cause a nutritional therapy to be administered to the patient according to the administration parameters.

Abstract: A parenteral nutritional diagnostic system, apparatus, and method are disclosed. In an example, a parenteral nutritional diagnostic apparatus determines muscle quantity and muscle quality of a patient's psoas muscle to determine a nutritional status of the patient. An image interface is configured to receive a medical image including radiodensity data related to imaged tissue of the patient. The apparatus also includes a processor configured to use the medical image to determine a tissue surface area for each different value of radiodensity and determine a distribution of the tissue surface area for each radiodensity value. The processor is configured to determine muscle quality by locating a soft tissue peak within the distribution that corresponds to a local peak in at a region related to at least one of muscle tissue, organ tissue, and intramuscular adipose tissue. The processor determines the nutritional status of the patient based on the soft tissue peak.

Abstract: A parenteral nutritional diagnostic system, apparatus, and method are disclosed. In an example, a parenteral nutritional diagnostic apparatus determines muscle quantity and muscle quality of a patient's psoas muscle to determine a nutritional status of the patient. An image interface is configured to receive a medical image including radiodensity data related to imaged tissue of the patient. The apparatus also includes a processor configured to use the medical image to determine a tissue surface area for each different value of radiodensity and determine a distribution of the tissue surface area for each radiodensity value. The processor is configured to determine muscle quality by locating a soft tissue peak within the distribution that corresponds to a local peak in at a region related to at least one of muscle tissue, organ tissue, and intramuscular adipose tissue. The processor determines the nutritional status of the patient based on the soft tissue peak.

Abstract: A parenteral nutritional diagnostic system, apparatus, and method are disclosed. In an example embodiment, a parenteral nutritional diagnostic apparatus determines muscle quantity and muscle quality of a patient's psoas muscle to determine a nutritional status of the patient. An image interface is configured to receive a medical image including radiodensity data related to imaged tissue of the patient. The apparatus also includes a processor configured to use the medical image to determine a tissue surface area for each different value of radiodensity and determine a distribution of the tissue surface area for each radiodensity value. The processor is configured to determine muscle quality by locating a soft tissue peak within the distribution that corresponds to a local peak in at a region related to at least one of muscle tissue, organ tissue, and intramuscular adipose tissue. The processor determines the nutritional status of the patient based on soft tissue peak.

Abstract: A parenteral nutritional diagnostic system, apparatus, and method are disclosed. In an example embodiment, a parenteral nutritional diagnostic apparatus determines muscle quantity and muscle quality of a patient's psoas muscle to determine a nutritional status of the patient. An image interface is configured to receive a medical image including radiodensity data related to imaged tissue of the patient. The apparatus also includes a processor configured to use the medical image to determine a tissue surface area for each different value of radiodensity and determine a distribution of the tissue surface area for each radiodensity value. The processor is configured to determine muscle quality by locating a soft tissue peak within the distribution that corresponds to a local peak in at a region related to at least one of muscle tissue, organ tissue, and intramuscular adipose tissue. The processor determines the nutritional status of the patient based on soft tissue peak.