Neutrophilic panniculitis: algorithmic approach to a heterogeneous group of disorders

• Published in: Archives of pathology & laboratory medicine (1976) Vol. 138; no. 10; pp. 1337 - 1343
• Main Author: Chan, May P
• Format: Journal Article
• Language: English
• Published: United States College of American Pathologists 01.10.2014
• Subjects: Adipose Tissue - blood supply; Adipose Tissue - immunology; Adipose Tissue - pathology; Algorithms; alpha 1-Antitrypsin Deficiency - physiopathology; Arthritis, Rheumatoid - physiopathology; Biopsy; Decision Trees; Diagnosis, Differential; Erythema; Erythema Induratum - diagnosis; Erythema Induratum - immunology; Erythema Induratum - pathology; Erythema Induratum - physiopathology; Erythema Nodosum - diagnosis; Erythema Nodosum - immunology; Erythema Nodosum - pathology; Erythema Nodosum - physiopathology; Fat Necrosis - etiology; Granulomas; Humans; Infections; Metabolism; Microorganisms; Necrosis; Neutrophils; Neutrophils - immunology; Neutrophils - pathology; Pancreatitis - etiology; Panniculitis - diagnosis; Panniculitis - etiology; Panniculitis - pathology; Panniculitis - physiopathology; Subcutaneous Fat - blood supply; Subcutaneous Fat - immunology; Subcutaneous Fat - pathology; Sweet Syndrome - physiopathology; Vasculitis - etiology
• ISSN: 0003-9985; 1543-2165; 1543-2165
• DOI: 10.5858/arpa.2014-0270-CC

Neutrophilic panniculitis encompasses an etiologically and morphologically heterogeneous group of disorders. Correct histopathologic diagnosis is important in identifying certain systemic diseases and guiding appropriate treatment. To review the clinical and histopathologic features of different types of neutrophilic panniculitis, and to provide a diagnostic algorithm for these disorders. A review of the literature with emphasis on the distinguishing features of different entities was performed. Evaluation for neutrophilic panniculitis entails paying close attention to the pattern of inflammation, the type of fat necrosis present, any evidence of vascular damage, and other relevant histopathologic features. An algorithmic approach integrating all histopathologic, clinical, and laboratory findings is required for correct diagnosis.