US 12,440,148 B2
Method of evaluating a muscle related condition
Olof Dahlqvist Leinhard, Linköping (SE); Jennifer Linge, Linköping (SE); and Per Widholm, Linköping (SE)
Assigned to AMRA MEDICAL AB, Linköping (SE)
Appl. No. 17/428,524
Filed by AMRA Medical AB, Linköping (SE)
PCT Filed Feb. 7, 2020, PCT No. PCT/EP2020/053068
§ 371(c)(1), (2) Date Aug. 4, 2021,
PCT Pub. No. WO2020/161274, PCT Pub. Date Aug. 13, 2020.
Claims priority of application No. 19156100 (EP), filed on Feb. 8, 2019.
Prior Publication US 2022/0125373 A1, Apr. 28, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 5/055 (2006.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)
CPC A61B 5/4519 (2013.01) [A61B 5/055 (2013.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)] 15 Claims
OG exemplary drawing
 
1. A method of providing a basis for evaluation of a muscle related condition for a subject individual, the method being performed by a computer with a processing unit, and the method comprising the steps of:
scanning a first muscle of the subject individual using a scanning device, wherein the scanning device is configured to perform at least one of: a) magnetic resonance imaging, b) dual-energy X-ray absorptiometry, c) bioelectrical impedance analysis, and d) computed tomography;
quantifying a muscle quantity value of the first muscle for the subject individual in response to the scanning the first muscle;
identifying a muscle volume, muscle mass, cross sectional area of the first muscle, or a combination thereof based on the quantified muscle quantity value;
acquiring at least one data parameter value for the subject individual, wherein the at least one data parameter value relates to a quantified parameter of the subject individual's body composition;
assessing a muscle quality value of the first muscle for the subject individual in response to the scanning the first muscle, wherein the assessing comprises quantifying a muscle fat infiltration value of the first muscle;
accessing a lookup table that comprises a dimension based on the at least one data parameter value for the subject individual, age, sex, weight, and/or muscle type of the first muscle;
comparing the quantified muscle fat infiltration value with a predetermined threshold for the subject individual using the lookup table and based on the at least one data parameter value for the subject individual;
selecting a number of individuals from a database, wherein the database comprises at least one data parameter value for a plurality of individuals and muscle quantity values of a muscle type of said first muscle for said plurality of individuals, wherein the selection of the number of individuals from the database is based on the at least one data parameter value being compared to the subject individual's at least one data parameter value, thereby creating a virtual control group, VCG, comprising the selected individuals;
calculating a numerical prediction value of the muscle quantity values for the selected individuals in the VCG as an individualized and normalized reference value for the quantified muscle quantity value for the subject individual;
comparing the quantified muscle quantity value for the subject individual to the numerical prediction value of the VCG;
combining i) the comparison of the quantified muscle fat infiltration value to the predetermined threshold for the subject individual with ii) the comparison of the quantified muscle quantity value to the numerical prediction value of the VCG; and
outputting a two-dimensional visual distribution diagram for the subject individual based on the combining, wherein a first dimension of the visual distribution diagram comprises a muscle quality measure, and wherein a second dimension of the visual distribution diagram comprises a muscle quantity measure adjusted for the subject individual's body composition.