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CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

Radiotherapy and Oncology · 2015 · Vol. 114(3) · pp. 345–350

Thibaud Coroller✉(Dana-Farber Brigham Cancer Center)Patrick Großmann(Harvard University)Ying Hou(Dana-Farber Brigham Cancer Center)Emmanuel Rios Velazquez(Dana-Farber Brigham Cancer Center)Ralph T. H. Leijenaar(Maastro Clinic)Gretchen Hermann(Brigham and Women's Hospital)Philippe Lambin(Maastro Clinic)Benjamin Haibe‐Kains(University Health Network)Raymond H. Mak(Harvard University)Hugo J.W.L. Aerts✉(Maastro Clinic)

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Radiomics and Machine Learning in Medical Imaging Gastric Cancer Management and Outcomes Sarcoma Diagnosis and TreatmentRadiomicsConcordanceMedicineUnivariateImaging biomarkerMultivariate analysisAdenocarcinomaMultivariate statisticsBiomarkerConcordance correlation coefficient

MeSH terms

Adenocarcinoma of LungAdenocarcinomaAdultAgedAged, 80 and overFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm MetastasisPrognosisTomography, X-Ray ComputedTumor Burden

Funding

Health Foundation Limburg
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
KWF Kankerbestrijding
National Institutes of Health
Stichting voor de Technische Wetenschappen

Citations

701

FWCI

51.14

field-weighted impact

References

44

Percentile

100%

vs. same field & year

Citations per year

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