Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using

Valerio Nardone1, Paolo Tini2, Pierpaolo Pastina2

  • 1Unit of Radiation Oncology, Integrated Department of Diagnostic Radiology and Radiotherapy, Ospedale del Mare, I-80147 Naples, Italy.

Oncology Letters
|January 23, 2020
PubMed

Insights

Computed tomography texture analysis (TA) can predict patient response to Nivolumab immunotherapy for non-small cell lung cancer (NSCLC). This radiomics approach identifies patients likely to benefit from PD-1 blockade, optimizing treatment selection.

Area of Science:

  • Oncology
  • Radiology
  • Immunotherapy

Background:

  • Immune checkpoint inhibitors like Nivolumab offer survival benefits but are costly.
  • Predictive biomarkers are needed to identify non-small cell lung cancer (NSCLC) patients who will respond to PD-1 blockade.
  • Tumor necrosis, hypoxia, and inflammation, indicative of immune response, are associated with PD-1/PDL1 blockade efficacy.

Purpose of the Study:

  • To evaluate the potential of computed tomography (CT) texture analysis (TA) as a predictive marker for Nivolumab treatment response in NSCLC patients.
  • To correlate TA parameters with progression-free survival and overall survival (OS).

Main Methods:

  • Retrospective analysis of 59 metastatic NSCLC patients treated with Nivolumab.
  • Texture analysis (TA) performed on pre- and post-contrast CT scans to assess gross tumor volume (GTV).
  • Reliability of TA parameters assessed using Intraclass Coefficient Correlation (ICC); correlation with survival using Kaplan-Meier analysis.

Main Results:

  • 12/14 pre-contrast and 13/14 post-contrast TA parameters showed high reproducibility (ICC >0.70).
  • Specific cut-offs were identified for volume, histogram entropy, compacity, GLCM-entropy, GLCM-Dissimilarity, and GLCM-Correlation.
  • A global TA score classified patients into Low (61%) and High Risk (39%) subgroups, with significantly different median OS (26 vs. 5 months, P=0.002).

Conclusions:

  • CT texture analysis (TA) parameters can identify NSCLC patients likely to benefit from PD-1 blockade.
  • TA may define radiological features suggestive of an active immune response, aiding treatment selection.
  • Further prospective trials are needed to confirm these findings.