作者
Mohammadhadi Khorrami, Monica Khunger, Alexia Zagouras, Pradnya Patil, Rajat Thawani, Kaustav Bera, Prabhakar Rajiah, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
发表日期
2019/3/20
期刊
Radiology: Artificial Intelligence
卷号
1
期号
2
页码范围
180012
出版商
Radiological Society of North America
简介
Purpose
To identify the role of radiomics texture features both within and outside the nodule in predicting (a) time to progression (TTP) and overall survival (OS) as well as (b) response to chemotherapy in patients with non–small cell lung cancer (NSCLC).
Materials and Methods
Data in a total of 125 patients who had been treated with pemetrexed-based platinum doublet chemotherapy at Cleveland Clinic were retrospectively analyzed. The patients were divided randomly into two sets with the constraint that there were an equal number of responders and nonresponders in the training set. The training set comprised 53 patients with NSCLC, and the validation set comprised 72 patients. A …
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M Khorrami, M Khunger, A Zagouras, P Patil… - Radiology: Artificial Intelligence, 2019