Two-Stage Hematologic Neoplasia Screening Method
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Solution Overview
Problem
Current methods for diagnosing blood cancer are inefficient, costly, and often result in late detection due to non-specific symptoms and the high number of types of blood cancer, leading to a lack of reliable screening methods.
Innovation Solution
A two-stage screening method that involves a first test stage with a hematogram analysis using filter rules to identify potential hematological neoplasia, followed by a second test stage with morphological analysis, significantly reducing the number of samples that need further testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complete blood count and manual blood smear analysis are performed for blood cancer diagnosis, then diagnostic accuracy is improved, but the complexity and time consumption increase significantly
Solution Approach 1:
The diagnostic process is divided into multiple filtering stages: first filter rules applied to complete blood count parameters, then second filter rules to differential blood count parameters, and finally morphological analysis only for samples passing previous filters. This segmentation reduces complexity while maintaining diagnostic accuracy through systematic elimination of negative cases.
Solution Approach 2:
Filter rules are applied in advance to screen out samples that do not meet suspicious criteria before proceeding to more complex morphological analysis. This preliminary filtering action eliminates the majority of samples early in the process, reducing overall diagnostic complexity and time consumption.
2Reliability
If traditional diagnostic methods are used for blood cancer, then comprehensive analysis is achieved, but early detection capability deteriorates due to non-specific symptoms appearing only at advanced stages
Solution Approach 1:
The filter rules screen for suspicious patterns in blood parameters before symptoms become clinically apparent. By performing this preliminary analysis on routine blood counts, the system can identify potential blood cancer cases early, before the disease reaches an advanced stage with non-specific symptoms, thus reducing detection time while maintaining reliability.
Solution Approach 2:
The filter rules act as an intermediary between routine blood counting and comprehensive morphological analysis. This intermediary layer identifies suspicious cases that warrant further investigation, enabling early detection of blood cancer by catching cases before they progress to advanced stages with non-specific clinical presentation.
3Productivity
If routine blood screening is performed on large patient collectives, then the number of samples requiring complex analysis is reduced, but the risk of false positive or false negative diagnoses increases
Solution Approach 1:
The diagnostic process is segmented into multiple filtering stages with progressively stricter criteria. First filter rules screen complete blood count parameters, then second filter rules analyze differential counts, and finally morphological analysis provides definitive assessment. This multi-stage segmentation maintains high diagnosis reliability by combining automated filtering with expert morphological review of suspicious cases.
Solution Approach 2:
The filter rules are designed with feedback mechanisms where results from each stage inform the next. Samples passing initial filters are subjected to more stringent secondary filters, and the system provides feedback loops allowing adjustment of filtering criteria based on observed performance, thereby maintaining high reliability while achieving efficient screening of large patient collectives.
Data Source
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AI summary
The invention relates to a screening method for diagnosing a hematological neoplasm, comprising the steps of: performing a first screening step (210) to check whether a potential hematological neoplasm is present, wherein, within the first screening step (210), at least one first hematogram is created with a blood sample and, based on a first set of filter rules, it is checked whether the first hematogram deviates from a target state specified according to the first set of filter rules; and performing a second screening step (220) to check whether a potential hematological neoplasm is present if the examination of the first screening step (210) shows that a potential hematological neoplasm is present. The invention also relates to a system, a computer program product, and a computer-readable storage medium.