METHODS article
Front. Oncol.
Sec. Head and Neck Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1617778
This article is part of the Research TopicThe Application of 3D Printing Technologies in Head and Neck Cancer SurgeryView all 4 articles
The New Method for Histopathological Analysis of Oral Squamous Cell Carcinoma: A Pilot Study Evaluating a Novel Approach Using Three-Dimensional Imaging Techniques to Enhance Local Control
Provisionally accepted
Adam Michcik*
Rafał Pęksa
Łukasz Garbacewicz
Adam Polcyn
Piotr Choma
Barbara WojciechowskaBarbara Drogoszewska- Medical University of Gdansk, Gdańsk, Poland
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One factor that enhances the survival of patients with Oral Squamous Cell Carcinoma (OSCC) is improved local control. Currently, we know of There are many prognostic factors (PF) influencing a patient's prognosis. One of these is the correct histopathological excision margins. Standard histopathological analysis does not allow for the precise determination of the locations of individual Hematoxylin and Eosin (H&E) slides, which is extremely important from a clinical standpoint. In extensive tumors, the ability to precisely identify the sites with the narrowest microscopic excision is essential for accurately interpreting postoperative results and making proper clinical decisions. Therefore, a protocol has been developed to precisely localize individual H&E-stained tissue slides on virtual 3D OSCC images. This approach provides us with a virtual map of the entire excised tumor, allowing us to accurately identify the areas with the narrowest histopathological margins (HM). As a result, if reoperation is necessary, it can be precisely determined where to widen the OSCC excision or plan adjuvant radiotherapy with much greater accuracy. Our The proposed pilot study is based on the virtual three-dimensional OSCC model of the floor of the mouth cancer. Using 3D scanning technology, we have created a user-friendly protocol has been created. for everyday clinical practice.
Keywords: oral squamous cell carcinoma, histopathological analysis, three-dimensional imaging, local control, 3D objects, Virtual medicine
Received: 24 Apr 2025; Accepted: 17 Oct 2025.
Copyright: © 2025 Michcik, Pęksa, Garbacewicz, Polcyn, Choma, Wojciechowska and Drogoszewska. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Adam Michcik, adammichcik@gumed.edu.pl
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.