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Abdominal fat pad aspiration biopsy for tissue confirmation of systemic amyloidosis: specificity, positive predictive

C D Guy1, C K Jones

  • 1Department of Pathology, Duke University Medical Center, Durham, North Carolina 27710, USA. guy00005@duke.edu

Insights

Abdominal fat pad fine-needle aspiration biopsy (FNAB) confirms systemic amyloidosis with 100% specificity. However, low sensitivity and high inadequacy rates highlight the need for improved FNAB techniques for accurate amyloidosis diagnosis.

Area of Science:

  • Medical Diagnostics
  • Pathology
  • Nephrology

Background:

  • Systemic amyloidosis diagnosis relies heavily on abdominal fat pad fine-needle aspiration biopsy (FNAB).
  • Previous studies on FNAB for amyloidosis diagnosis are limited.
  • Retrospective analysis of FNAB results was conducted due to perceived rarity of positive findings.

Purpose of the Study:

  • To evaluate the diagnostic performance of abdominal fat pad FNAB for systemic amyloidosis.
  • To assess the specificity, sensitivity, and predictive values of FNAB in a real-world clinical setting.
  • To identify limitations and suggest improvements for FNAB procedures in amyloidosis diagnosis.

Main Methods:

  • Retrospective review of 45 abdominal fat pad FNAB samples from 45 patients over three years.
  • Analysis of Congo red staining results and correlation with documented amyloidosis diagnoses.
  • Evaluation of specimen adequacy and diagnostic yield.

Main Results:

  • Excellent specificity (100%) and positive predictive value (100%) were observed.
  • Sensitivity was low at 58%, and specimen inadequacy was high at 11%.
  • Of 33 negative Congo red samples, 85% were disease-free; 40% of inadequate samples were later diagnosed with amyloidosis.

Conclusions:

  • Abdominal fat pad FNAB demonstrates high specificity and positive predictive value for systemic amyloidosis.
  • Low sensitivity and high inadequacy rates necessitate technique improvements, such as concurrent cell block preparation.
  • Interpretation challenges of Congo red staining, including collagen birefringence, can impact diagnostic accuracy.

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