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Technological evolution of diagnostic testing in oncology
Julius Alexander Steffen1, Christian Lenz2
1Imperial College London, Exhibition Road, London SW7 2AZ, UK. jas212@imperial.ac.uk.
Personalized Medicine
|May 18, 2018
Summary
Diagnostic testing advancements are improving cancer care. Future innovations like parallel testing and whole-genome sequencing will enhance performance, driven by biomarker availability and genomic medicine.
Area of Science:
- Oncology
- Medical Diagnostics
- Health Services Research
Background:
- Diagnostic testing significantly enhances cancer care quality.
- Innovation lifecycle models can map the evolution of diagnostic technologies.
- Key technological shifts include single testing, parallel testing, and whole-genome sequencing.
Purpose of the Study:
- To analyze the innovation lifecycle of cancer diagnostic technologies.
- To project the future trajectory of diagnostic testing in oncology.
- To identify factors influencing the adoption of new diagnostic technologies.
Main Methods:
- Application of innovation lifecycle models to diagnostic testing.
- Analysis of current and emerging diagnostic technologies (single, parallel, whole-genome sequencing).
- Review of factors influencing technology adoption (regulatory, reimbursement, user-friendliness, perceived value).
Main Results:
- Single testing performance will be limited by increasing biomarker availability.
- Parallel testing technologies are favored for future implementation.
- Whole-genome sequencing promises significant performance increases, ushering in genomic medicine.
- Broad adoption of current technologies builds infrastructure for future advancements.
Conclusions:
- The evolution of cancer diagnostics is progressing towards more comprehensive genomic approaches.
- Regulatory, reimbursement, and practical user factors critically influence technology diffusion.
- Strategic adoption of existing technologies is essential for enabling future genomic medicine.
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