A novel imaging information system developed by researchers at the University of Colorado Anschutz Medical Campus may eventually provide a faster, more accurate prognosis for some tumors.
Oncologists have long used the Ki67 protein as a proliferation biomarker for human tumor cells, Yet the time, money and delivery method pose challenges to medical professionals.
Fuong Jing, PhD, the paper’s first author and assistant professor in the Department of Biostatistics and Informatics at the Colorado School of Public Health, is principal investigator of the National Institutes of Health (NIH) R21 project.
The goal is to develop a novel imaging information system that automates the process of scanning Ki67 proteins for gastrointestinal and pancreatic neuroendocrine tumors, ultimately creating a Ki67 labeling index evaluation method that is shared among medical institutions around the world. can go.
“The system will significantly improve the efficiency and objectivity of biomarker calculations, so that it can enable quick disease detection,” Jing said. “This study (cell/nucleus identification) serves as the foundation for Ki67 labeling index assessment in our project, and will provide a low-cost, efficient method for Ki67 scoring across various datasets.”
Currently, oncologists often use “eyeball” estimates or manual counting of these cell numbers to improve prognosis for patients with pancreatic, gastrointestinal and other cancers. The higher the Ki67 protein, the worse the prognosis.
Jing said the study is an important step in developing generalizable algorithms for Ki67 labeling index evaluation. It has also been proven that the imaging techniques used show significant Improvement in analysis.
“Compared with existing ‘eyeball’ estimation and manual counting approaches for Ki67 evaluation in clinical practice, this study has the potential to significantly accelerate the process of Ki67 biomarker calculation,” Jing said. “Furthermore, it will free pathologists and researchers from the daily, routine and tedious work so that they can focus more on formulating high-level hypotheses and biological discoveries.”
Jing said the imaging informatics system could eventually serve as a place where results can be shared and accessible to medical facilities everywhere. Currently, there is no universal system for quantifying the labeling index across different datasets, which makes treatment more complicated for patients who are being seen in multiple medical facilities.
Pancreas was looked at in this part of the study.[XF1] and gastrointestinal cancer. It will continue to be tested in future studies to determine the index and the long-term viability of the imaging technique.
This story has been published without modification in text from a wire agency feed. Only the title has been changed.
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