Center for Computational Imaging and Personalized Diagnostics researchers awarded a patent on March 2, 2021

Friday, March 5, 2021 - 22:13

On March 2nd, a patent was awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD): “Predicting outcome in invasive breast cancer from collagen fiber orientation disorder features in tumor associated stroma”. Congratulations to Haojia Li, graduate student, biomedical engineering and CCIPD; and Anant Madabhushi, PhD, Donnell Institute Professor, biomedical engineering, and director of CCIPD. Read details about the patent below.

Predicting outcome in invasive breast cancer from collagen fiber orientation disorder features in tumor associated stroma

United States Serial Number (USSN): 10,937,159, March 2, 2021.

Inventors: Madabhushi; Anant, Li; Haojia 
 
Abstract: Embodiments discussed herein relate to accessing a digitized image associated with a patient of tissue demonstrating breast cancer pathology; segmenting a tumor region represented in the digitized image; segmenting collagen fibers represented in the tumor region; computing collagen vectors based on the segmented collagen fibers; generating an orientation co-occurrence matrix based on the collagen vectors; computing a collagen fiber orientation disorder feature based on the co-occurrence matrix; upon determining that the collagen fiber orientation feature exceeds a threshold value: generating a prognosis of the region of tissue as unlikely to experience breast cancer recurrence; upon determining that the collagen fiber orientation feature is less than or equal to the threshold value: generating a prognosis of the region of tissue as likely to experience breast cancer recurrence; classifying the patient as high-risk of recurrence or low-risk of recurrence based, at least in part, on the prognosis; and displaying the classification.