Document Type
Article
Publication Date
6-30-2022
Publication Title
Journal of Pathology Informatics
Abstract
Context: Despite the benefits of digital pathology, data storage and management of digital whole slide images introduces new logistical and infrastructure challenges to traditionally analog pathology labs. Aims: Our goal was to analyze pathologist slide diagnosis patterns to determine the minimum number of pixels required during the diagnosis. Methods: We developed a method of using pathologist viewing patterns to vary digital image resolution across virtual slides, which we call variable resolution images. An additional pathologist reviewed the variable resolution images to determine if diagnoses could still be rendered. Results: Across all slides, the pathologists rarely zoomed in to the full resolution level. As a result, the variable resolution images are significantly smaller than the original whole slide images. Despite the reduction in image sizes, the final pathologist reviewer could still proide diagnoses on the variable resolution slide images. Conclusions: Future studies will be conducted to understand variability in resolution requirements between and within pathologists. These findings have the potential to dramatically reduce the data storage requirements of high-resolution whole slide images.
PubMed ID
36268057
Volume
13
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Ashman, Kimberly; Zhuge, Huimin; Shanley, Erin; Fox, Sharon; Halat, Shams; Sholl, Andrew; Summa, Brian; and Brown, J. Quincy, "Whole Slide Image Data Utilization Informed By Digital Diagnosis Patterns" (2022). School of Medicine Faculty Publications. 1479.
https://digitalscholar.lsuhsc.edu/som_facpubs/1479
10.1016/j.jpi.2022.100113