Medical Scan Image Display With Timeline and Risk Scoring
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Solution Overview
Problem
Current clinical practices face challenges in efficiently managing indeterminate pulmonary nodules, including inefficient access to relevant patient information, high risk of loss to follow-up, and inadequate integration of imaging and patient data, leading to potential delays in diagnosing lung cancer.
Innovation Solution
A display system integrating a user interface with patient information, image display, and timeline features, along with an analysis circuit, to facilitate efficient review and analysis of medical images, prioritize relevant data, and provide lung cancer risk scoring, thereby aiding clinicians in making informed decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If clinicians review all available medical images and patient data manually, then comprehensive assessment is achieved, but time consumption and cognitive load increase significantly
Solution Approach 1:
The system segments the comprehensive assessment task into multiple components: automatic nodule detection, characterization analysis, risk scoring, and follow-up tracking. Each component is handled by specialized software modules that process specific aspects of patient data, allowing clinicians to review structured results rather than raw unprocessed data, thus reducing time consumption while maintaining comprehensive assessment.
Solution Approach 2:
The system performs preliminary analysis of medical images and patient data before clinician review. Automated algorithms pre-process CT scans to detect nodules, generate risk scores, and organize patient history, so that when clinicians review the case, the heavy analytical work has already been completed, significantly reducing their time consumption while preserving assessment comprehensiveness.
2Loss of information
If clinicians access patient information from multiple separate systems, then all relevant data is available, but system complexity and ease of operation deteriorate
Solution Approach 1:
The system merges multiple data sources including PACS imaging archives, electronic patient records, and follow-up databases into a single integrated platform. This consolidation allows clinicians to access all relevant patient information through one interface, maintaining complete data availability while dramatically improving ease of operation by eliminating the need to switch between multiple separate systems.
3Loss of information
If all medical images from external archives are retrieved, then complete imaging history is available, but data transmission time and network bandwidth consumption increase
Solution Approach 1:
The system extracts only the specific imaging studies and time periods relevant to the current clinical question, rather than retrieving the complete imaging history. The software intelligently filters and selects only necessary images based on the clinical context, preserving imaging history completeness for relevant cases while minimizing data transmission time and network bandwidth consumption by excluding unnecessary data.
4Object-affected harmful factors
If follow-up imaging is delayed to reduce invasive procedures, then patient exposure to unnecessary procedures is reduced, but time to diagnosis increases
Solution Approach 1:
The system changes the parameter of follow-up timing by using automated risk scoring to stratify patients into different follow-up intervals. High-risk patients receive more frequent monitoring and earlier intervention, while low-risk patients undergo less frequent imaging, reducing unnecessary exposure. This dynamic parameter adjustment optimizes both the timing to diagnosis and the reduction of harmful invasive procedures based on individual patient risk profiles.
Data Source
AI summary
A display system for a computer aided lung cancer diagnosis system is described. The system comprises: a user interface which comprises: a patient information display wherein the patient information comprises one or more of: patient name, patient age, patient sex, smoking history, disease history, and current patient status; an image display for displaying at least one of a selected plurality of medical images acquired at different times and an associated image report; and a patient timeline display for providing a visual display of patient events over a set time period; and a proxy data store to store the selected plurality of medical images, wherein the selected plurality of medical images are provided from an external archive and are pre-selected to comprise one or more relevant archive images, and exclude irrelevant archive images.