Medical Image-Guided ctDNA Mutation Estimation for False Negatives
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Solution Overview
Problem
Existing methods for monitoring genetic mutations in tumors using cell-free DNA (ctDNA) suffer from high false-negative rates due to the small sample quantity and short half-life period, leading to inaccurate monitoring of genetic mutations.
Innovation Solution
A medical information processing apparatus that combines ctDNA data with medical image data to enhance the precision of genetic mutation estimation by using image feature values to compensate for false negatives in ctDNA analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ctDNA analysis is used to monitor genetic mutations, then non-invasive and convenient sampling is achieved, but false-negative rate increases due to small sample quantity and short half-life
Solution Approach 1:
The patent combines ctDNA analysis with medical image analysis to create a complementary monitoring system. The processing apparatus integrates multiple data sources (ctDNA sequencing results and medical images) to achieve more reliable genetic mutation monitoring while maintaining the non-invasive sampling advantage of ctDNA.
Solution Approach 2:
The patent introduces medical image data as an intermediary to bridge the gap between ctDNA analysis and actual tumor state. The processing apparatus uses medical images as a mediator to verify and supplement ctDNA findings, reducing false-negative rates without requiring direct tissue biopsy.
2Ease of operation
If ctDNA analysis is used to estimate genetic mutations, then non-invasive monitoring is achieved, but measurement precision decreases due to high false-negative rate
Solution Approach 1:
The patent merges ctDNA-based genetic mutation estimation with medical image-based tumor characteristic analysis. The processing apparatus combines these two independent estimation methods to produce a more precise overall assessment, where each method compensates for the weaknesses of the other.
Solution Approach 2:
The patent implements a feedback mechanism where medical image analysis results are used to verify and correct ctDNA-based genetic mutation estimates. The processing apparatus continuously refines its estimates by comparing and cross-validating information from both ctDNA and medical images.
3Device complexity
If only ctDNA data is used for genetic mutation estimation, then analysis simplicity is maintained, but estimation accuracy decreases
Solution Approach 1:
The patent segments the estimation process into two independent modules: one based on ctDNA data and another based on medical image data. The processing apparatus then integrates these segmented results, allowing for simpler individual analyses while achieving higher overall accuracy through combination.
Solution Approach 2:
The patent combines multiple data sources (ctDNA and medical images) into a unified estimation framework. The processing apparatus merges these diverse data types through standardized processing circuits that can handle both molecular and imaging data, producing more accurate estimates without excessive complexity.
Data Source
AI summary
A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain data related to circulating tumor deoxyribonucleic acid (ctDNA) of a subject. The processing circuitry is configured to specify a gene on the basis of information about a false negative in a result of estimating a genetic mutation in a tumor tissue of the subject based on the data related to the ctDNA. With respect to the gene specified on the basis of the information about the false negative, the processing circuitry is configured to calculate a result of estimating the genetic mutation in the tumor tissue, on the basis of a medical image of the tumor tissue of the subject.