Abhishek Mahajan, Gurukrishna B, Shweta Wadhwa, Ujjwal Agarwal, Ujjwal Baid, Sanjay Talbar, Amit Kumar Janu, Vijay Patil, Vanita Noronha, Naveen Mummudi, Anil Tibdewal, J P Agarwal, Subash Yadav, Rajiv Kumar Kaushal, Ameya Puranik, Nilendu Purandare, Kumar Prabhash
AIM: The aim of this study was to investigate the feasibility of developing a deep learning (DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into epidermal growth factor receptor ( EGFR ) mutation and anaplastic lymphoma kinase ( ALK ) rearrangement groups and to compare the accuracy with classification based on semantic features on imaging. METHODS: Data set of 117 patients was analysed from 2014 to 2018 out of which 33 patients were EGFR positive, 43 patients were ALK positive and 41 patients were negative for either mutation...
2023: Exploration of targeted anti-tumor therapy