Bar code reader - an algorithmic approach to cutaneous occluding vasculopathies? Part I: small vessel vasculopathies

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.