Abstract: Device (1) particularly for detecting and potentially identifying at least one target inside a determined volume (V), the device (1) comprising an image acquisition system (2). The image acquisition system (2) comprises,—at least one infrared camera (3) that is sensitive to waves with a wavelength between 780 and 1400 nm,—a thermal camera (4) that is sensitive to waves between 3000 and 14000 nanometers and—a camera (5), referred to as visible, that is sensitive to waves between 350 and 780 nm. The cameras (3, 4, 5) are mounted on a common support (6) in the form of an elongate, beam-type body. The cameras (3, 4, 5) are arranged on the common support (6), with the fields of view of the cameras (3, 4, 5) having an intersection area (8) that corresponds to the volume (V) to be observed. The optical axes of the cameras (3, 4, 5) arranged on the common support (6) are not aligned and the distance (D) between the optical centers of at least two of the cameras (3, 4, 5) is between 10 cm and 2 m.

Abstract: Disclosed is a non-invasive method for assessing in a subject the presence and severity of a liver lesion, or the risk of death or liver-related events, including: 1) performing at least three binary logistic regressions on at least one variable, performed on the same variable(s) but each directed to a different single diagnostic target, thereby obtaining at least three scores; 2) combining the scores from step 1) in a multiple linear regression to obtain a new multi-targeted score; 3) optionally sorting the multi-targeted score obtained in step 2) in a classification of liver lesion stages or grades, thereby determining to which liver lesion stage or grade the subject belongs based on his/her multi-targeted score. Also disclosed is a single multi-targeted non-invasive test obtained by the combination of single-targeted non-invasive tests providing a unique score and a unique classification with improved accuracy compared to single-targeted diagnostic tests.

Abstract: Disclosed is a non-invasive method for assessing in a subject the presence and severity of a liver lesion, or the risk of death or liver-related events, including: 1) performing at least three binary logistic regressions on at least one variable, performed on the same variable(s) but each directed to a different single diagnostic target, thereby obtaining at least three scores; 2) combining the scores from step 1) in a multiple linear regression to obtain a new multi-targeted score; 3) optionally sorting the multi-targeted score obtained in step 2) in a classification of liver lesion stages or grades, thereby determining to which liver lesion stage or grade the subject belongs based on his/her multi-targeted score. Also disclosed is a single multi-targeted non-invasive test obtained by the combination of single-targeted non-invasive tests providing a unique score and a unique classification with improved accuracy compared to single-targeted diagnostic tests.

Abstract: A method for implementing an adapted patient care for an individual suffering from liver fibrosis after assessing liver fibrosis progression in the individual, and thus determining whether the individual is a slow, medium or fast fibroser. Also, a method for treating an individual suffering from liver fibrosis and identified as a fast fibroser, which includes the steps of identifying the individual as a fast fibroser by assessing fibrosis progression and treating the individual by administering without delay at least one therapeutic agent for treating liver fibrosis, or for treating the underlying cause responsible for liver fibrosis, or both.

Abstract: Disclosed is a non-invasive method for assessing the presence and/or severity of varices selected from gastric and esophageal varices in a liver disease patient, wherein the method includes: (a) carrying out one or more non-invasive test(s) for assessing the severity of a hepatic lesion or disorder, wherein the non-invasive test(s) each result in a value; and (b) comparing the value(s) obtained at step (a) with cut-offs of the non-invasive test(s) for assessing the presence and/or severity of varices selected from gastric and esophageal varices.

Abstract: A method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of the organ or tissue is provided. In particular, the organ or tissue is a liver organ or liver tissue. The method includes the calculation of a score that combines descriptors of the image, and includes the steps of: a) measuring on the image at least two descriptors of the image, b) mathematically combining the descriptors in a score; and c) assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step b).

Abstract: A method for displaying at least two medical images, each medical image highlighting at least one feature, including steps of obtaining a 2D medical image, identifying at least two features on the obtained medical image, generating masks showing the identified features, each mask highlighting at least one of the identified features, generating a set of at least two medical images, each medical image highlighting at least one of the identified features by superimposing at least one of the masks on the obtained medical image, and displaying the set of at least two generated medical images, one after the other. The invention also relates to a microprocessor comprising a computer algorithm to perform the method of the invention and to a system comprising said microprocessor and a visualizing means.

Abstract: Method for providing a reliable non-invasive diagnostic test of the presence and/or severity of a disease, and associated software and expert system includes: a. collecting a diagnostic index, called Initial Index, preferably a score, b. calculating the Dispersion Index of the collected Initial Index, c. analyzing the reliability of each data by identifying if at least one data of index collected in step a) is an abnormal, inconsistent and/or a non-homogeneous data, or is responsible for a greater decrease in the Dispersion Index than that observed with other data, d. if a data is an abnormal, inconsistent and/or non-homogeneous data, or a data lowering a Dispersion Index, generating an Event Alert, e. if an Event Alert is generated, calculating new indexes, f. replacing the Initial Index including an abnormal, inconsistent and/or non-homogeneous data or a data affecting the Dispersion Index, with an Alternative, Estimated or a Mixed Index.

Abstract: The present invention relates to for treating for an individual identified as suffering from a liver lesion, preferably liver fibrosis or cirrhosis. The present invention thus relates to a method invention for implementing an adapted patient care for an individual suffering from a liver lesion, preferably liver fibrosis or cirrhosis, said method including the steps of (i) determining in the individual the presence and severity of a liver lesion, preferably liver fibrosis or cirrhosis, by carrying out at least one non-invasive test resulting in a value and positioning the at least one value in a class of a detailed classification; and (ii) implementing an adapted patient care for the individual depending on the severity of the liver lesion, preferably liver fibrosis or cirrhosis, as determined by the class of the detailed classification wherein the at least one value was positioned.

Abstract: A method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of the organ or tissue is provided. In particular, the organ or tissue is a liver organ or liver tissue. The method includes the calculation of a score that combines descriptors of the image, and includes the steps of: a) measuring on the image at least two descriptors of the image, b) mathematically combining the descriptors in a score; and c) assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step b).

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: A method for implementing an adapted patient care for an individual suffering from liver fibrosis after assessing liver fibrosis progression in the individual, and thus determining whether the individual is a slow, medium or fast fibroser. Also, a method for treating an individual suffering from liver fibrosis and identified as a fast fibroser, which includes the steps of identifying the individual as a fast fibroser by assessing fibrosis progression and treating the individual by administering without delay at least one therapeutic agent for treating liver fibrosis, or for treating the underlying cause responsible for liver fibrosis, or both.

Abstract: The present invention relates to a method for displaying an easy-to-understand medical image, comprising the steps of: a. obtaining a medical image, b. identifying at least one feature on the image of step (a), c. generating at least one mask highlighting the at least one feature, d. displaying at least one easy-to-understand medical image including at least one mask on which the at least one feature identified in step (b) is highlighted.

Abstract: This invention relates to method of diagnosing the presence and/or severity of a liver pathology and/or of monitoring the effectiveness of a curative treatment against a liver pathology in an individual, leading to a score, comprising the combination, of at least one marker from a blood test and of at least one data issued from a physical method of diagnosing liver fibrosis, said physical method being further defined as elastometry, said combination being performed through a mathematical function.

Abstract: This invention relates to method of diagnosing the presence and/or severity of a liver pathology and/or of monitoring the effectiveness of a curative treatment against a liver pathology in an individual, leading to a score, comprising the combination, of at least one blood test and of at least one data issued from a physical method of diagnosing liver fibrosis, said data being selected from the group consisting of medical imaging data and clinical measurements, said combination being performed through a mathematical function. This invention also relates to a method wherein the combination through a mathematical function, of at least one blood test and of at least one data issued from a physical method of diagnosing liver fibrosis, is performed at least twice and the at least two resulting scores are combined in an algorithm based on the diagnostic reliable intervals.

Abstract: An in vitro prognostic method for assessing the risk of death or of liver-related event in a subject, includes: a) obtaining at least one, preferably 2, of the following variables from the subject: i. biomarkers measured in a sample from the subject; ii. clinical data; iii. binary markers; iv. blood test results; b) optionally obtaining at least one blood test result by univariate combination, preferably with a binary logistic regression, of the at least one variable obtained in step a), the blood test not being a Fibrotest, c) obtaining at least one physical data from medical imaging or clinical measurement, from elastometry, or Vibration Controlled Transient Elastography, and d) mathematically combining in a multivariate time-dependent model the variable obtained in step a) and/or the at least one blood test result obtained in step b); and the at least one physical data, obtained in step c) thereby obtaining a prognostic score.

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: Method for providing a reliable non-invasive diagnostic test of the presence and/or severity of a disease, and associated software and expert system includes: a. collecting a diagnostic index, called Initial Index, preferably a score, b. calculating the Dispersion Index of the collected Initial Index, c. analyzing the reliability of each data by identifying if at least one data of index collected in step a) is an abnormal, inconsistent and/or a non-homogeneous data, or is responsible for a greater decrease in the Dispersion Index than that observed with other data, d. if a data is an abnormal, inconsistent and/or non-homogeneous data, or a data lowering a Dispersion Index, generating an Event Alert, e. if an Event Alert is generated, calculating new indexes, f. replacing the Initial Index including an abnormal, inconsistent and/or non-homogeneous data or a data affecting the Dispersion Index, with an Alternative, Estimated or a Mixed Index.

Abstract: A method pertains to a diagnosing the presence and/or severity of a hepatic pathology and/or of monitoring the effectiveness of a curative treatment against a hepatic pathology in an individual, comprising the establishment of at least one non-invasive diagnostic score, in particular a diagnostic score for portal and septal fibrosis and/or an estimate score for the fibrosis area and/or an estimate score for the fractal dimension.

Abstract: The present invention relates to a non-invasive method for assessing the presence and/or severity of a lesion in an organ of an animal, including a human, said method comprising carrying out at least one non-invasive test resulting in a value, preferably a score result, and positioning the at least one value or score result in a class of a detailed classification, such as, for example, a detailed classification based on population percentiles, or on a reliable diagnostic interval (RDI), to be crossed with another RDI. The present invention also relates to a device, preferably a meter, carrying out the non-invasive method of the invention.