%0 Journal Article
%A Hertel, Alexander
%A Streuer, Alexander
%A Diehl, Steffen
%A Boch, Tobias
%A Nörenberg, Dominik
%A Strittmatter, Anika
%A Zöllner, Frank G
%A Schoenberg, Stefan O
%A Hofmann, Wolf-Karsten
%A Loges, Sonja
%A Nowak, Daniel
%A Froelich, Matthias F
%T Targeting tumoral heterogeneity in lung cancer: a novel, CT-texture-guided targeted biopsy approach with exome sequencing.
%J npj precision oncology
%V 9
%N 1
%@ 2397-768X
%C [London]
%I Springer Nature
%M DKFZ-2025-02308
%P 342
%D 2025
%X Solid tumors like lung cancer show significant mutational heterogeneity. A biopsy captures only focal aspects, limiting conclusions about overall tumor biology. This prospective study correlated CT-based radiomics features with genomic profiles to optimize biopsy site selection. Lung cancer patients underwent CT imaging, radiomics analysis, targeted biopsies, and whole-exome sequencing. Twelve non-redundant features were extracted, with JointEntropy guiding biopsy targeting. In 7 of 12 patients, over 10
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:41203783
%2 pmc:PMC12594912
%R 10.1038/s41698-025-01148-5
%U https://inrepo02.dkfz.de/record/305685