Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Purpose: Considerable progress has been made in the assessment and management of non-small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS). At the same time, NSCLC management through KRAS and EGFR...

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Bibliographic Details

Published in:	Molecular Imaging & Biology Vol. 22; no. 4; pp. 1132 - 1149
Main Authors:	Shiri, Isaac, Maleki, Hasan, Hajianfar, Ghasem, Abdollahi, Hamid, Ashrafinia, Saeed, Hatt, Mathieu, Zaidi, Habib, Oveisi, Mehrdad, Rahmim, Arman
Format:	research Journal Article
Published:	Springer Nature Aug2020
Online Access:	View this record in EBSCOhost