4.6 Review

Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring

Journal

TRANSPLANTATION
Volume 103, Issue 7, Pages 1306-1322

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/TP.0000000000002656

Keywords

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Funding

  1. Immune Tolerance Network [1UM1AI109565]
  2. Clinical Trials in Organ Transplantation in Children [1U01AI104336, 4U01AI104347]
  3. National Institutes of Health/National Institute of Allergy and Infectious Diseases [4U01AI104347, 1U19AI131453, U01AI100807]
  4. National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases [1R01DK114180]
  5. TransMedics
  6. Enduring Hearts Foundation
  7. UPMC Enterprises
  8. NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [U01AI104336, U01AI104347, U19AI131453, UM1AI109565, U01AI100807] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R01DK114180] Funding Source: NIH RePORTER

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Traditional histopathological allograft biopsy evaluation provides, within hours, diagnoses, prognostic information, and mechanistic insights into disease processes. However, proponents of an array of alternative monitoring platforms, broadly classified as invasive or noninvasive depending on whether allograft tissue is needed, question the value proposition of tissue histopathology. The authors explore the pros and cons of current analytical methods relative to the value of traditional and illustrate advancements of next-generation histopathological evaluation of tissue biopsies. We describe the continuing value of traditional histopathological tissue assessment and next-generation pathology (NGP), broadly defined as staining/labeling techniques coupled with digital imaging and automated image analysis. Noninvasive imaging and fluid (blood and urine) analyses promote low-risk, global organ assessment, and molecular data output, respectively; invasive alternatives promote objective, mechanistic insights by creating gene lists with variably increased/decreased expression compared with steady state/baseline. Proponents of alternative approaches contrast their preferred methods with traditional histopathology and: (1) fail to cite the main value of traditional and NGP-retention of spatial and inferred temporal context available for innumerable objective analyses and (2) belie an unfamiliarity with the impact of advances in imaging and software-guided analytics on emerging histopathology practices. Illustrative NGP examples demonstrate the value of multidimensional data that preserve tissue-based spatial and temporal contexts. We outline a path forward for clinical NGP implementation where software-assisted sign-out will enable pathologists to conduct objective analyses that can be incorporated into their final reports and improve patient care.

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