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Bar code reader - an algorithmic approach to cutaneous occluding vasculopathies? Part I: small vessel vasculopathies
Gudrun Ratzinger1, Bettina G Zelger2, Bernhard W Zelger1
1Department of Dermatology, Venereology and Allergology, Medical University Innsbruck, Innsbruck, Austria.
Insights
Classifying occluding vasculopathies is challenging. This study proposes a new classification system using skin and subcutis, differentiating small vessel types by coagulation and inflammatory features for better diagnosis.
Area of Science:
- Dermatopathology
- Vascular Pathology
- Histopathology
Background:
- Classifying occluding vasculopathies presents challenges due to varied principles (clinicopathological, etiological, pathomechanistic).
- Distinguishing vasculitis from vasculopathy is often unclear.
- Systemic nature and organ-specific variations complicate morphological comparisons.
Purpose of the Study:
- To develop a classification system for occluding vasculopathies.
- To utilize skin and subcutis as models for classification.
- To establish clinicopathological correlation as the basis for this classification.
Main Methods:
- Differentiating small and medium vessel occluding vasculopathies in skin.
- Classifying small vessel occluding vasculopathies into subtypes.
- Analyzing coagulation/reorganization timing and inflammatory/stromal features.
- Utilizing bar codes for visualizing similarities and differences.
Main Results:
- A stepwise approach was applied to classify small vessel occluding vasculopathies.
- Similarities and differences in occluding vasculopathies became more apparent.
- The proposed method aids in both clinical and histopathological assessment.
Conclusions:
- Occluding vasculopathies are often reaction patterns, not distinct entities.
- Crucial to differentiate vasculopathies from vasculitides due to differing pathogenesis, treatment, and prognosis.
Aims:
The classifications of occluding vasculopathies may present some difficulties. Firstly, classifications may follow different principles, e.g. clinicopathological findings, etiology or pathomechanism. Secondly, authors sometimes do not distinguish between vasculitis and vasculopathy. Thirdly, vasculopathies are often systemic diseases. Organ-specific variations make morphologic findings difficult to compare. Moreover, subtle changes may be recognized in the skin, but be invisible in other organs. Our aim was to use the skin and subcutis as tools and clinicopathological correlation as the basic process for classification.
Methods And Results:
In the first step, we differentiate between small and medium vessel occluding vasculopathies in the skin, and focus in this part on small vessel occluding vasculopathies. In the second step, we differentiate among subtypes of small vessels. In the final step, we differentiate according to the time point of the coagulation/reorganization process and the involved inflammatory cells/stromal features. Applying the same procedure to the various entities and visualizing the findings with bar codes makes the similarities and differences more apparent, both clinically and with histopathology.
Conclusion:
Occluding vasculopathies are often not separate entities, but reaction patterns and epiphenomena. Distinguishing them from vasculitides is crucial because of differences in pathogenesis, therapeutic approach and prognosis.
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