Evaluation of radiomics as a predictor of efficacy and the tumor immune microenvironment in anti-PD-1 mAb treated recurrent/metastatic squamous cell carcinoma of the head and neck patients.

Autor: Zandberg DP; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Zenkin S; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Ak M; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Mamindla P; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Peddagangireddy V; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Hsieh R; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Anderson JL; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Delgoffe GM; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Menk A; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Skinner HD; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Duvvuri U; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Ferris RL; UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Colen RR; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jazyk: angličtina
Zdroj: Head & neck [Head Neck] 2024 Jul 30. Date of Electronic Publication: 2024 Jul 30.
DOI: 10.1002/hed.27878
Abstrakt: Background: We retrospectively evaluated radiomics as a predictor of the tumor microenvironment (TME) and efficacy with anti-PD-1 mAb (IO) in R/M HNSCC.
Methods: Radiomic feature extraction was performed on pre-treatment CT scans segmented using 3D slicer v4.10.2 and key features were selected using LASSO regularization method to build classification models with XGBoost algorithm by incorporating cross-validation techniques to calculate accuracy, sensitivity, and specificity. Outcome measures evaluated were disease control rate (DCR) by RECIST 1.1, PFS, and OS and hypoxia and CD8 T cells in the TME.
Results: Radiomics features predicted DCR with accuracy, sensitivity, and specificity of 76%, 73%, and 83%, for OS 77%, 86%, 70%, PFS 82%, 75%, 89%, and in the TME, for high hypoxia 80%, 88%, and 72% and high CD8 T cells 91%, 83%, and 100%, respectively.
Conclusion: Radiomics accurately predicted the efficacy of IO and features of the TME in R/M HNSCC. Further study in a larger patient population is warranted.
(© 2024 The Author(s). Head & Neck published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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