Evidence map›Paper›PMID 39712976›Full record

ArticleJournal of pathology informatics2024

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

Carly Fassler, Marina Aweeda, Alexander N Perez, Yuna Chung, Spencer Yueh, Robert J Sinard, Sarah L Rohde, Kyle Mannion, Alexander J Langerman, Eben L Rosenthal and 5 more

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Carly FasslerVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Marina AweedaVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Alexander N PerezVanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology, Nashville, TN, United States of America.
Yuna ChungVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Spencer YuehVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Robert J SinardVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Sarah L RohdeVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Kyle MannionVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Alexander J LangermanVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Eben L RosenthalVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Jie Ying WuDepartment of Computer Science, Vanderbilt University, Nashville, TN, United States of America.
Mitra MehradVanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology, Nashville, TN, United States of America.
Kim ElyVanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology, Nashville, TN, United States of America.
James S LewisVanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology, Nashville, TN, United States of America.
Michael C TopfVanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.

Funding

Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
Augmented Reality to Guide Head and Neck Cancer SurgeryK08CA293255 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Michael Topf · 2024 to 2026
$645k
NCI NIH HHS K08 CA293255NCI NIH HHS K12 CA090625
6 · The paper itself

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, 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.

Indexed as

3D scanningHead and neck cancerMargin statusOral cavity cancerPathology communicationVirtual mapping

Identifiers

PMID39712976
PMCPMC11662268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.