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Digital mapping of resected cancer specimens: The visual pathology report. | LitMetric

AI Article Synopsis

  • The study explores using virtual 3D visual pathology reports instead of lengthy written descriptions for cancer specimens, aiming to enhance communication in pathology.
  • Surgical specimens are scanned and mapped in 3D to create a hybrid report that summarizes essential information, including gross measurements and tumor characteristics, in a more visual format.
  • Results showed that these visual reports are more concise, averaging 293.4 words compared to 850.1 words in standard reports, demonstrating their feasibility and potential benefits for head and neck cancer cases.

Article Abstract

Background: The current standard-of-care pathology report relies only on lengthy written text descriptions without a visual representation of the resected cancer specimen. This study demonstrates the feasibility of incorporating virtual, three-dimensional (3D) visual pathology reports to improve communication of final pathology reporting.

Materials And Methods: Surgical specimens are 3D scanned and virtually mapped alongside the pathology team to replicate grossing. The 3D specimen maps are incorporated into a hybrid visual pathology report which displays the resected specimen and sampled margins alongside gross measurements, tumor characteristics, and microscopic diagnoses.

Results: Visual pathology reports were created for 10 head and neck cancer cases. Each report concisely communicated information from the final pathology report in a single page and contained significantly fewer words (293.4 words) than standard written pathology reports (850.1 words,  < 0.01).

Conclusions: We establish the feasibility of a novel visual pathology report that includes an annotated visual model of the resected cancer specimen in place of lengthy written text of standard of care head and neck cancer pathology reports.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11662268PMC
http://dx.doi.org/10.1016/j.jpi.2024.100399DOI Listing

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