NSCLC tumor shrinkage prediction using quantitative image features

A goal of oncology therapies is to utilize information gained from treating previous patients to deliver treatment specific to the patient and disease. The current tumor node metastasis (TNM) staging system for non-small cell lung cancer (NSCLC) is used for this purpose and utilizes anatomical information such as the tumor size, location, spread, and lymph node involvement [1]. Although this system is based on the study of over 67,000 NSCLC cases, NSCLC patients with the same TNM staging often have very different clinical outcomes.

Source: Computerized Medical Imaging and Graphics - November 28, 2015 Category: Radiology Authors: Luke A. Hunter, Yi Pei Chen, Lifei Zhang, Jason E. Matney, Haesun Choi, Stephen F. Kry, Mary K. Martel, Francesco Stingo, Zhongxing Liao, Daniel Gomez, Jinzhong Yang, Laurence E. Court Source Type: research