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Review
. 2020 Mar;144(3):379-387.
doi: 10.5858/arpa.2018-0509-RA. Epub 2019 Nov 7.

An Organ System-Based Approach to Differential Diagnosis of Amyloid Type in Surgical Pathology

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Free article
Review

An Organ System-Based Approach to Differential Diagnosis of Amyloid Type in Surgical Pathology

Gabriel Giannini et al. Arch Pathol Lab Med. 2020 Mar.
Free article

Abstract

Context.—: Amyloidosis is an uncommon but important entity. A protein-based classification of amyloidosis defines the underlying disease process, directing clinical management and providing prognostic information. However, in routine surgical pathology there often is no attempt to classify amyloid other than staining to determine light chain-associated amyloidosis. Systemic and localized amyloidosis vary with respect to frequency of organ involvement by different amyloid types, and most amyloid proteins have commercial antibodies available for identification.

Objective.—: To provide a guide for the likelihood of amyloid type by organ system.

Data sources.—: Literature review based on PubMed searches containing the word amyloid, specifically addressing the prevalence and significance of amyloid proteins in each organ system other than the brain, and the authors' practice experience.

Conclusions.—: In patients with amyloidosis, determination of the responsible protein is critical for appropriate patient care. In large subspecialty practices and reference laboratories with experience in using and analyzing relevant immunohistochemistry, most amyloid proteins can be identified with an organ-specific algorithm. Referring to an organ-based algorithm may be helpful in providing clinicians with a more specific differential diagnosis regarding amyloid type to help guide clinical evaluation and treatment. When the protein cannot be characterized, mass spectrometry can be performed to definitively classify the amyloid type.

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Comment in

  • Amyloid Deposition in the Brain.
    Gokden M. Gokden M. Arch Pathol Lab Med. 2020 Oct 1;144(10):1162-1163. doi: 10.5858/arpa.2020-0136-LE. Arch Pathol Lab Med. 2020. PMID: 33002155 No abstract available.

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