Evidence map›Paper›PMID 40616761›Full record

ArticleAnnals of surgical oncology2025

MarginView3D: A Novel Software Enabling Comprehensive Three-Dimensional Surgical Pathology Documentation for Improved Intra- and Postoperative Cancer Care.

Michael Karasick, Justin K Joseph, Michelle Yoon, Sabrina R Comess, Salmaan Sayeed, Pranati Borkhetaria, Luke Stanisce, Margaret Brandwein-Weber, Mark L Urken

Abstract read
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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Michael KarasickDepartment of Otolaryngology-Head and Neck Surgery, Thyroid, Head & Neck Cancer (THANC) Foundation, New York, NY, USA.
Justin K JosephDepartment of Otolaryngology-Head and Neck Surgery, Thyroid, Head & Neck Cancer (THANC) Foundation, New York, NY, USA.
Michelle YoonDepartment of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sabrina R ComessDepartment of Otolaryngology-Head and Neck Surgery, Thyroid, Head & Neck Cancer (THANC) Foundation, New York, NY, USA.
Salmaan SayeedDepartment of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pranati BorkhetariaDepartment of Otolaryngology-Head and Neck Surgery, Thyroid, Head & Neck Cancer (THANC) Foundation, New York, NY, USA.
Luke StanisceDepartment of Otolaryngology-Head and Neck Surgery, Thyroid, Head & Neck Cancer (THANC) Foundation, New York, NY, USA.
Margaret Brandwein-WeberDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mark L UrkenDepartment of Otolaryngology-Head and Neck Surgery, Thyroid, Head & Neck Cancer (THANC) Foundation, New York, NY, USA. markurken@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical pathology reports are crucial to the delivery of personalized and coordinated cancer management. However, traditional reports often lack clarity and comprehensiveness, which can lead to misinterpretation or suboptimal therapeutic planning. To address these issues, we developed MarginView3D

methodsWe detail the internally developed MV3D surgical pathology reporting platform created by a multidisciplinary team incorporating open-source platforms, commercial 3D scanners, and medical illustrators. This software was piloted in 26 head and neck cancer cases over 6 months.

resultsThe software facilitates comprehensive margin mapping and pathology reporting in a range of procedures: palatomaxillectomy (n = 5), parotidectomy (n = 5), mandibulectomy (n = 5), oral cavity soft tissue resection (n = 5), laryngectomy/laryngopharyngectomy (n = 4), thyroidectomy (n = 1), and facial cutaneous malignancy resection (n = 1). Notably, 24 out of 26 surgeries achieved well-documented negative final margin statuses. The median number of inadequate margins ("margins at-risk") per case was 1.5 (range 0-6). The median number of supplemental tissue samples harvested per case was two (range 0-13).

conclusionsMV3D enhances surgical pathology documentation by consolidating precise anatomic orientation, clear margin reconciliation, and narrative summaries offered by the surgeon and pathologist into one platform to aid in the treatment of head and neck cancer. MV3D has the potential to improve margin reporting, care coordination, adjuvant treatment planning, and personalized cancer management.

Indexed as

DocumentationHead and Neck NeoplasmsImaging, Three-DimensionalIntraoperative CareMargins of ExcisionPathology, SurgicalPostoperative CareSoftwareHumansPrognosisSoftware innovationSurgical pathology report

Identifiers

PMID40616761
PMCPMC12534277

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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.