Drug efficacy evaluation assisting system, and drug efficacy evaluation assist information presenting method

US2017231561A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017231561-A1
Application numberUS-201715409944-A
CountryUS
Kind codeA1
Filing dateJan 19, 2017
Priority dateFeb 12, 2016
Publication dateAug 17, 2017
Grant date

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Abstract

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Provided herein is a technique for effectively and quantitatively evaluating the symptom improving effect of a treatment given to a subject (patient). The invention provides a technique for diagnosing, evaluating, monitoring, and predicting drug efficacy in individuals (patients) with possible mental disorders such as ADHD, autism, and depression. Specifically, patient's data are simultaneously analyzed using several variables, such as biological measurements (e.g., brain activity measurements) and cognitive performance assessments, involving, for example, a patient (dependent variable), a medication type and dose (independent variables), a diagnosis profile score (DSM) and a rating scale (manifest variables), and an efficacy index (a predictor variable of a future treatment).

First claim

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1 . A drug efficacy evaluation assisting system for assisting evaluation of the efficacy of a drug treatment on a subject of interest, the system comprising: a processor for reading and executing various programs necessary for drug efficacy evaluation; and a memory for storing a processing result generated by the processor, and various data, wherein the memory stores brain activity information measured for a plurality of subjects including the subject of interest before and after drug administration, the brain activity information being stored with corresponding measurement numbers, and wherein the processor executes: a process of reading from the memory the brain activity information measured for the subject of interest before and after administration, and calculating modulation of the brain activity before and after administration for each of the measurement numbers, and a process of displaying a relationship between the measurement number and the brain activity modulation of the subject of interest on a screen of a display device. 2 . The drug efficacy evaluation assisting system according to claim 1 , wherein the processor executes: a process of reading from the memory the brain activity information measured for the plurality of subjects before and after drug administration, and calculating a statistical value of the brain activity modulation of the plurality of subjects as a threshold, and a process of displaying the threshold on the screen together with the relationship between the measurement number and the brain activity modulation of the subject of interest. 3 . The drug efficacy evaluation assisting system according to claim 1 , wherein the processor further executes a process of calculating a regression curve representing changes of the brain activity modulation against the measurement number, and displaying the regression curve on the screen. 4 . The drug efficacy evaluation assisting system according to claim 1 , wherein the processor further executes a process of also displaying a dose for the measurement number on the screen. 5 . A drug efficacy evaluation assisting system for assisting evaluation of the efficacy of a drug treatment on a subject of interest, the system comprising: a processor for reading and executing various programs necessary for drug efficacy evaluation; and a memory for storing a processing result generated by the processor, and various data, wherein the memory stores brain activity information measured for a plurality of subjects including the subject of interest before and after drug administration, and wherein the processor reads the measured brain activity information from the memory in response to an input analysis command, and executes: (i) a first analysis process that generates drug efficacy evaluation assist information, and presents the information on a screen of a display device according to a relationship between brain activity simple modulation and the number of subjects before and after drug administration; (ii) a second analysis process that generates drug efficacy evaluation assist information, and presents the information on the screen according to a relationship between a z-score of brain activity before drug administration and a z-score of brain activity after drug administration; (iii) a third analysis process that generates drug efficacy evaluation assist information, and presents the information on the screen according to a relationship between brain activity simple modulation before and after drug administration, and changes in the z-score of brain activity before and after drug administration; or (iv) a fourth analysis process that generates drug efficacy evaluation assist information, and presents the information on the screen by using a predetermined clustering process. 6 . The drug efficacy evaluation assisting system according to claim 5 , wherein the processor further executes: a process of placing data based on the measured information of the subject of interest for evaluation on the drug efficacy evaluation assist information; and a process of determining the presence or absence of efficacy according to a relationship of the placed data of the subject of interest and the drug efficacy evaluation assist information, and presenting the result of the determination on the screen. 7 . The drug efficacy evaluation assisting system according to claim 5 , wherein the processor in executing the first analysis process calculates at least brain activity modulation values for all subjects before and after drug administration, and a distribution of the brain activity modulation values before and after drug administration, uses a statistical value from the distribution calculation as a threshold, and displays the distribution and the threshold on the screen of the display device. 8 . The drug efficacy evaluation assisting system according to claim 5 , wherein the processor in executing the second analysis process calculates a relationship in the z-score of brain activity before and after drug administration as a threshold line by linear regression computation in the absence of brain activity modulation before and after drug administration, and displays the threshold line as the drug efficacy evaluation assist information on the screen. 9 . The drug efficacy evaluation assisting system according to claim 5 , wherein the processor in executing the third analysis process calculates a modulation value of brain activity for all subjects before and after administration, a z-score of brain activity for all subjects before drug administration, a z-score of brain activity for all subjects after drug administration, and a z-score contrast representing a z-score change before and after drug administration, and displays a relationship between the brain activity modulation value before and after administration and the z-score contrast on the screen of the display device. 10 . The drug efficacy evaluation assisting system according to claim 5 , wherein the memory also stores brain activity information measured for a plurality of healthy individuals, and wherein the processor in executing the fourth analysis process calculates: the mean value of brain activity modulation of healthy individuals who have undertaken a predetermined task multiple times, using the brain activity information measured for the plurality of healthy individuals, the mean value of brain activity modulation of subjects who have undertaken the predetermined task multiple times before drug administration, using the brain activity information measured for the plurality of subjects before drug administration, and the mean value of brain activity modulation of subjects who have undertaken the predetermined task multiple times after drug administration, using the brain activity information measured for the plurality of subjects after drug administration; and a dispersion variable of brain activity modulation for each healthy individual who has undertaken the predetermined task multiple times, a dispersion variable of brain activity modulation for each subject who has undertaken the predetermined task multiple times before administration, and a dispersion variable of brain activity modulation for each subject who has undertaken the predetermined task multiple times after administration, and wherein the processor sets the mean value of brain activity modulation, and the dispersion variable of brain activity modulation on X and Y axes, and places a combination of the mean value and the dispersion variable of each healthy individual, and a combination of the mean value and the dispersion variable of each subject before and after drug administration on the X-Y plane, and wherein the processor a

Assignees

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Classifications

  • using correlation, e.g. template matching or determination of similarity · CPC title

  • A61B5/4848Primary

    Monitoring or testing the effects of treatment, e.g. of medication · CPC title

  • for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

  • Special features of memory means, e.g. removable memory cards · CPC title

  • using light, e.g. diagnosis by transillumination, diascopy, fluorescence (photoacoustic A61B5/0093; optical measurement of heart rate A61B5/02416; optical measurement of blood flow A61B5/0261; optical measurement of analytes A61B5/1455) · CPC title

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What does patent US2017231561A1 cover?
Provided herein is a technique for effectively and quantitatively evaluating the symptom improving effect of a treatment given to a subject (patient). The invention provides a technique for diagnosing, evaluating, monitoring, and predicting drug efficacy in individuals (patients) with possible mental disorders such as ADHD, autism, and depression. Specifically, patient's data are simultaneously…
Who is the assignee on this patent?
Hitachi Ltd, Univ Jichi Medical
What technology area does this patent fall under?
Primary CPC classification A61B5/4848. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Aug 17 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).