This page presents a collaborative, case-based study conducted as part of the Oral Pathology Preconference of the International Oral Diseases Case Presentation Conference (IODCPC 2026).
The study brings together pathologists from different regions and practice settings to review a common set of salivary gland neoplasm cases. Participants are invited to examine digital slides, arrive at a diagnosis, consider differential possibilities, and indicate their approach to ancillary testing.
In doing so, the study seeks to move beyond the final diagnosis and consider the process by which that diagnosis is reached—an aspect of pathology that is central to practice, yet seldom examined in a structured or collective way.
Why this study matters
Diagnostic pathology, particularly in complex areas such as salivary gland neoplasms, relies on an interplay of morphologic interpretation, differential reasoning, experience, and access to ancillary testing. While classification systems provide structure, the process by which pathologists arrive at a diagnosis often varies across individuals, institutions, and practice environments.
Such variation is not merely incidental. It reflects differences in training, thresholds of interpretation, familiarity with patterns, and the availability of investigative tools. Understanding this variability is essential—not only for improving diagnostic consistency, but also for informing clinical decision-making, refining teaching approaches, and contributing to the evolution of classification systems.
Despite its importance, there are relatively few opportunities to examine diagnostic reasoning at scale, using standardized cases, across a diverse and international cohort.
A preconference-based approach
Traditionally, studies of this nature require prolonged coordination, multi-center collaboration, and considerable financial resources. The model adopted here seeks to address these limitations.
By integrating the study within a preconference setting, it becomes possible to bring together a large, engaged group of participants at a single point in time, all working with the same set of cases. This allows for the collection of structured, comparable data within a defined and efficient timeframe, while maintaining consistency in case material.
The use of digital slides and a unified response framework further enables participation across geographic and institutional boundaries, creating a dataset that reflects real-world diagnostic practice rather than isolated institutional experience.
What this model makes possible
This approach allows, within a matter of weeks, what would otherwise require years of coordinated effort:
- participation from a global cohort of pathologists
- standardized evaluation of identical cases
- systematic documentation of diagnostic reasoning and decision pathways
In addition, by capturing information on access to immunohistochemistry and molecular diagnostics, the study provides insight into how resource availability influences diagnostic strategies across different settings.
Building on prior work
This model builds on a similar initiative conducted in the previous year, focusing on oral epithelial dysplasia. That study brought together a large international cohort to evaluate a curated set of challenging cases and generated substantial data on interobserver variability in dysplasia grading.
The study was completed within a short timeframe, with minimal cost, and was recognized by the Asia Book of Records. More importantly, the findings are currently being prepared for publication and are expected to contribute to ongoing discussions regarding diagnostic criteria and grading systems.
Implications for future collaboration
The success of this approach suggests that meaningful, large-scale diagnostic research can be conducted by leveraging existing academic communities and digital infrastructure.
By examining not only diagnostic outcomes but also the influence of resource availability, this model may serve as a starting point for understanding how different practice environments shape clinical decision-making. In time, such insights may help identify pathways for connecting resource-rich and resource-limited settings in ways that are both collaborative and mutually beneficial.
Extending the model to salivary gland neoplasms
The present study applies this framework to salivary gland neoplasms, an area characterized by diagnostic complexity, broad differential considerations, and variable use of ancillary testing.
Through structured case review, participant responses, and subsequent expert discussion, the study aims to generate a clearer picture of how these lesions are approached in practice, and to contribute to a broader understanding of diagnostic reasoning within the field.
Participation
Colleagues who wish to take part are invited to review the case material and submit their responses through the study form provided on this page. Participation is open to pathologists and trainees with an interest in head and neck pathology, and no prior registration for the conference is required to contribute to the study.
The time required will vary depending on approach and experience, and participants may complete the exercise at their own pace.
An open and collaborative effort
Colleagues who wish to take part are invited to review the case material and submit their responses through the study form provided on the dedicated page. Participation is open to pathologists and trainees with an interest in oral and head and neck pathology. No prior registration for the conference is required to contribute to the study.
The time required will vary depending on approach and experience, and participants may complete the exercise at their own pace.
This study is strengthened by the breadth of perspectives it brings together. Contributions from different regions, practice settings, and levels of experience are essential in building a meaningful understanding of diagnostic variation.
Colleagues are therefore encouraged to share this initiative within their professional networks. Wider participation not only enhances the quality of the dataset but also ensures that the findings more accurately reflect the diversity of real-world practice.
Each response represents an individual approach to a shared set of cases; taken together, they form a collective record of how our field interprets and navigates diagnostic complexity.