Delta radiomic features improve prediction for lung cancer incidence: A nested case–control analysis of the National Lung Screening Trial

Cancer Medicine

Volumn 7, Issue 12, 2018, Pages 6340-6356

  Cherezov, Dmitry ^a   Hawkins, Samuel H ^b   Goldgof, Dmitry B ^a   Hall, Lawrence O ^a   Liu, Ying ^b,c   Li, Qian ^b,c   Balagurunathan, Yoganand ^b   Gillies, Robert J ^b   Schabath, Matthew B ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^c TIANJIN MEDICAL UNIVERSITY   (China)

Author keywords

early detection; lung cancer screening; National Lung Screening Trial; quantitative imaging; Radiomics

Indexed keywords

TUMOR MARKER;

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CANCER INCIDENCE; CANCER RISK; CANCER SCREENING; CANCER STAGING; CASE CONTROL STUDY; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; EARLY CANCER DIAGNOSIS; FEMALE; FOLLOW UP; HUMAN; LUNG CANCER; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; PRACTICE GUIDELINE; PRIORITY JOURNAL; SPIRAL COMPUTER ASSISTED TOMOGRAPHY; TUMOR VOLUME; DIAGNOSTIC IMAGING; INCIDENCE; LUNG TUMOR; MASS SCREENING; MIDDLE AGED; RADIOGRAPHY;

AGED; CASE-CONTROL STUDIES; EARLY DETECTION OF CANCER; FEMALE; HUMANS; INCIDENCE; LUNG NEOPLASMS; MALE; MASS SCREENING; MIDDLE AGED; RADIOGRAPHY;

EID: 85057780495     PISSN: None     EISSN: 20457634     Source Type: Journal    
DOI: 10.1002/cam4.1852     Document Type: Article

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