This study presents a novel method for creating three-dimensional (3D) models of oral squamous cell carcinoma (OSCC) using both histopathology and magnetic resonance imaging (MRI), aiming to improve visualization for clinical purposes.
The ability to accurately visualize tumors is pivotal for effective surgical planning and postoperative management. This study addresses the challenges associated with comparing histopathological findings and preoperative MRIs, particularly for soft tissue tumors where deformation after resection complicates accurate analysis.
Researchers from the Hospital District of Helsinki and Uusimaa conducted this pilot study, approved by the ethics committee on February 7, 2024. They aimed to provide enhanced visualization tools for pathologists and surgeons involved in managing OSCC cases. The development of 3D models allows for details about the tumor’s margins to be visually correlated with MRI imaging.
Utilizing common imaging methods, the researchers employed 3D modeling software alongside histopathological and MRI outputs. The study highlights how these fused visual elements can facilitate greater collaboration between disciplines within clinical settings, especially during patient management discussions.
By merging 3D representations of biopsied tissue with corresponding MRI scans, the method allows both findings to be viewed integrally, overcoming traditional limitations where these analyses are typically handled separately. The integration of these different image modalities is anticipated to improve the existing protocols for pre and postoperative assessments.
The integration of this imaging technique presents promising outcomes for the current clinical practices. "Our method combines the information of the tumor’s histopathology and MRI, allowing comparison of MRI findings with histopathology,” stated the authors of the article.
This new approach to cancer visualization reveals significant disparities between traditional analysis methods and the 3D models. Details gathered from the 3D models provide insights on the actual dimensions of tumors, which can significantly differ from MRI estimations due to biological and procedural factors. “When they are both presented in 3D format provided with the anatomical reference of the resection specimen, the comparison is easier,” the authors remarked.
With distinct discrepancies between the MRI-derived model and the histopathological specimen indicated, the research establishes the importance of accurately representing tumoral anatomy—essential for making informed surgical decisions.
The research team recognizes the potential this method holds for enhancing surgical decision-making processes and planning post-operative care. The visualization techniques outlined, including those favorable for interdisciplinary consultation, show how integrating tumor margins and anatomical relationships can streamline cancer treatment protocols.
Following the pilot study results, the authors call for more extensive trials involving diverse tumor specimens to fully assess the applicability of such integrated 3D models. Given the promising nature of this first endeavor, the team anticipates future updates to the methodology, including development toward automated solutions, to bolster clinical integration significantly.