Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer

Scientific Reports

Volumn 7, Issue 1, 2017, Pages

  Fave, Xenia ^a,b   Zhang, Lifei ^a   Yang, Jinzhong ^a   MacKin, Dennis ^a   Balter, Peter ^a   Gomez, Daniel ^a   Followill, David ^a   Jones, Aaron Kyle ^a   Stingo, Francesco ^c   Liao, Zhongxing ^a   Mohan, Radhe ^a   Court, Laurence ^a,b  

^a UNIVERSITY OF TEXAS   (United States)

^b UNIVERSITY OF TEXAS   (United States)

^c UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; CANCER GRADING; CANCER STAGING; DIAGNOSTIC IMAGING; FEMALE; HUMAN; IMAGE PROCESSING; KAPLAN MEIER METHOD; LUNG TUMOR; MALE; MIDDLE AGED; MORTALITY; NON SMALL CELL LUNG CANCER; PATHOLOGY; PROGNOSIS; RADIATION DOSE; RETROSPECTIVE STUDY; TUMOR RECURRENCE; VERY ELDERLY; WORKFLOW; X-RAY COMPUTED TOMOGRAPHY;

AGED; AGED, 80 AND OVER; CARCINOMA, NON-SMALL-CELL LUNG; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KAPLAN-MEIER ESTIMATE; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM GRADING; NEOPLASM RECURRENCE, LOCAL; NEOPLASM STAGING; PROGNOSIS; RADIATION DOSAGE; RETROSPECTIVE STUDIES; TOMOGRAPHY, X-RAY COMPUTED; WORKFLOW;

EID: 85017176308     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-017-00665-z     Document Type: Article

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