Robert J. Gillies,Robert A. Gatenby,Natarajan Raghunand,John Arrington,Olya Stringfield,Yoganand Balagurunathan,Dmitry B. Goldgof,Lawrence O. Hall
申请号：
US15124718
公开号：
US20170071496A1
申请日:
2015.03.10
申请国别(地区):
US
年份:
2017
代理人:
摘要：
Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.
