Neuroimaging database systems and methods

Inventors

Bradshaw, Vincent • Henderson, Theodore • Faherty, Jennifer • Bitto, Donald • Villegas-Mauter, Nikki

Assignees

Cerehealth Corp

Abstract

Systems for and methods of utilizing a neuroimaging database are presented. The systems and methods include techniques for analyzing the pathophysiological basis of a chronic brain disease and/or the effectiveness of a treatment for a chronic brain disease, obtaining data for research of a chronic brain disease, searching for chronic brain disease symptoms identified in a clinical patient, searching a database by comparing the brain scan images of patients with suspected indications of chronic brain disease with other patients in the database to identify sets of patients with similar indications in their brain scan images, displaying brain scan information regarding a person, and using image pattern matching to analyze the pathophysiological basis of a chronic brain disease and/or the effectiveness of a proposed or previously administered treatment for a chronic brain disease.

Core Innovation

The invention provides an electronic database comprising a plurality of records associated with respective patients. Each record includes one or more digital representations of a baseline functional brain scan image comprising a plurality of image planes, a digital representation of a medical history, a digital representation of demographic information, and a digital representation of a set of clinical symptoms. The database supports user querying of patient subsets based on diagnosed brain conditions and whether the respective patient received a treatment.

The system receives a first input from a database user, converts the first input into a first query, and executes the first query to identify a first subset of records corresponding to a treatment set of patients. The system also receives a second input, converts it into a second query, and executes the second query to identify a second subset corresponding to patients that did not receive the treatment but whose records indicate the diagnosis of the brain condition. In another aspect, the system ranks a candidate subset of patient records according to relevancy to the set of symptoms, outputs at least a portion of the ranking in user viewable form, and provides a possible diagnosis of the clinical patient.

The system outputs a first statistical comparison of the first subset to a normative set of electronic records corresponding to patients that were not diagnosed with the brain condition and did not receive the treatment. For the output of features, the system provides a percentage of records in the normative database in which the one or more features are present, with the percentage further comprising a percentage of disease database records in which the one or more features are present and a percentage of normative database records in which the one or more features are present.

The invention further encompasses representing the baseline functional brain scan image using location-specific values that represent differences from normal, and using index-file workflows that compute digital levels of statistical deviation between brain scans and normative brain scans. In this framework, the system creates and stores index files, identifies matching subsets of patients using one or more search parameters, computes an average index file for that subset, and compares an index file of each patient in the set to the average index file.

Claims Coverage

The document includes three independent claim sets, which together cover database storage of per-patient functional brain scan representations and clinical metadata, querying to identify treatment vs non-treatment subsets, and outputting statistical comparisons to normative sets with feature presence percentages and symptom-relevancy ranking with possible diagnosis. The independent claims include multiple inventive features beyond basic data storage into subset selection, normative comparison outputs, and ranking-based diagnosis support.

Across the independent claims, the core coverage is a patient-record electronic database that includes baseline functional brain scan images and clinical metadata, coupled with user-driven queries to separate treatment-set and non-treatment subsets of patients diagnosed with a brain condition. The outputs include a statistical comparison to a normative set, feature presence percentage outputs, and ranking of candidate patient records by symptom relevancy with a possible diagnosis.

Stated Advantages

Documented Applications

No documented applications found