System und Verfahren zur Längsschnittbeurteilung eines Biomarkers

Details

Veröffentlichungs-Nr.

EP4621711

Aktenzeichen

EP24164896

Anmeldetag

20. März 2024

Veröffentlichung

24. September 2025

Rechtsraum

EP

IPC

G06T7/00

Abstract

The invention relates to a system (200) and method (100) for evaluating a longitudinal evolution of a quantitative biomarker measured for a biological object (210), the method (100) comprising: - receiving (101), for said biological object (210), longitudinal measurements of said quantitative biomarker, wherein N measurements M_1,...,M_N are received, wherein each measurement M_i, with i = 1,...,N, is performed at a timepoint T_i according to an acquisition technique A_i, wherein if i ≠ j, then T_i ≠ T_j ∀i,j ∈ {1,...,N}, wherein for each measurement M_i, a value V_i is obtained for said biomarker; - calculating (102), for each measurement M_i, a statistical parameter, which characterizes a variability of the used acquisition technique A_i, said statistical parameter being a measure of a statistical distribution of possible values for the biomarker when carrying out the measurement M_i according to said acquisition technique; - for each obtained biomarker value V_i, using the calculated statistical parameter for generating (103) synthetic data whose distribution follows the statistical distribution of possible values for the biomarker, wherein each synthetic data represents a simulated value for said biomarker and is assigned the timepoint T_i at which the measurement M_i was performed; - performing (104) several bootstrapping rounds, wherein, for each bootstrapping, one or several values among the measured value V_i and the biomarker simulated values generated for said measured value V_i are randomly sampled for each timepoint T_i; - for each bootstrapping, fitting (105) the sampled values by means of a fitting function; - for each fitting, extracting (106) a fitting parameter of the fitting function; - evaluating (107) the longitudinal evolution of the quantitative biomarker by statistically comparing the extracted fitting parameters against a reference value.

Anmelder

Firmen

Siemens Healthineers AG
Centre Hospitalier Universitaire Vaudois

Land

🇩🇪 Deutschland

Fachgebiete