Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study.

Journal: Nutrition (Burbank, Los Angeles County, Calif.)

PMID: 38237479

Abstract

OBJECTIVES: This study combined two novel approaches in oncology patient outcome predictions-body composition and radiomic features analysis. The aim of this study was to validate whether automatically extracted muscle and adipose tissue radiomic features could be used as a predictor of survival in patients with non-small cell lung cancer.

Authors

Miłosz Rozynek

Department of Radiology, Jagiellonian University Medical College, Krakow, Poland.
Zbisław Tabor

AGH University of Science and Technology, Krakow, Poland.
Stanisław Kłęk

Surgical Oncology Clinic, Maria Skłodowska-Curie National Cancer Institute, Krakow, Poland.
Wadim Wojciechowski

Department of Radiology, Jagiellonian University Medical College, Krakow, Poland. Electronic address: wadim.wojciechowski@uj.edu.pl.

Keywords

Body Composition Carcinoma Carcinoma, Non-Small-Cell Lung Humans Lung Lung Neoplasms Radiomics Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (38237479)

Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study.

Abstract

Authors

Keywords

External Resources

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