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From Optical to Molecular Imaging on Human Skin: A Review
Angeliki Birmpili1, Ron M A Heeren1, Rob J Vreeken1
1The Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, The Netherlands.
Advanced dermatological imaging, combining optical and molecular methods, enhances skin disease diagnosis. Integrating techniques like spatial omics and AI promises precision medicine and improved clinical workflows for skin conditions.
Area of Science:
- Dermatology and Medical Imaging
- Biotechnology and Molecular Diagnostics
Background:
- Accurate diagnosis is critical in dermatology, with imaging techniques forming a cornerstone of skin disease assessment.
- Traditional imaging methods are being enhanced by advanced optical and molecular modalities for a comprehensive view.
Purpose of the Study:
- To review the historical and current state of dermatological imaging methodologies, from traditional to advanced.
- To explore the integration of imaging with molecular profiling techniques, such as spatial omics, for deeper disease understanding.
- To discuss the translational potential, limitations, and future of dermatological imaging, including AI's role.
Main Methods:
- Review of diverse traditional and advanced imaging methodologies in dermatology.
- Analysis of technological advancements, including integration with spatial omics and other molecular profiling techniques.
- Discussion of clinical implementation, standardization, cost-effectiveness, and limitations.
Main Results:
- Hybrid imaging approaches provide complementary macroscopic and molecular insights into skin pathologies.
- Integration with molecular profiling enables biomarker identification and understanding of disease mechanisms for precision medicine.
- Artificial intelligence shows potential for streamlining image analysis and clinical decision support.
Conclusions:
- Advanced dermatological imaging, particularly combined optical-molecular techniques, is revolutionizing skin disease diagnosis and research.
- The integration of these technologies holds significant promise for developing precision medicine in dermatology.
- Addressing challenges in standardization, cost, and expertise is crucial for widespread clinical adoption.
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