CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

Radiotherapy and Oncology

Volumn 114, Issue 3, 2015, Pages 345-350

  Coroller, Thibaud P ^a,b   Grossmann, Patrick ^a,b   Hou, Ying ^a   Rios Velazquez, Emmanuel ^a   Leijenaar, Ralph T H ^b   Hermann, Gretchen ^a   Lambin, Philippe ^b   Haibe Kains, Benjamin ^c,d   Mak, Raymond H ^a   Aerts, Hugo J W L ^a,b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b MAASTRICHT UNIVERSITY   (Netherlands)

^c PRINCESS MARGARET HOSPITAL   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

Biomarkers; Distant metastasis; Lung adenocarcinoma; NSCLC; Quantitative imaging; Radiomics

Indexed keywords

BIOLOGICAL MARKER;

ADULT; AGED; ARTICLE; CANCER PATIENT; CANCER PROGNOSIS; CANCER SURVIVAL; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; DISTANT METASTASIS; FEMALE; HUMAN; LUNG ADENOCARCINOMA; MAJOR CLINICAL STUDY; MALE; PHENOTYPE; PRIORITY JOURNAL; TUMOR VOLUME; ADENOCARCINOMA; LUNG TUMOR; METASTASIS; MIDDLE AGED; PROCEDURES; PROGNOSIS; RADIOGRAPHY; VERY ELDERLY;

ADENOCARCINOMA; ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM METASTASIS; PROGNOSIS; TOMOGRAPHY, X-RAY COMPUTED; TUMOR BURDEN;

EID: 84927569956     PISSN: 01678140     EISSN: 18790887     Source Type: Journal    
DOI: 10.1016/j.radonc.2015.02.015     Document Type: Article

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