Development of Radiomic-Based Model to Predict Clinical Outcomes in Non-Small Cell Lung Cancer Patients Treated with Immunotherapy.
Olena TankyevychFlora TroussetClaire LatappyMoran BerrahoJulien DutilhJean Pierre TasuCorinne LamourCatherine Cheze Le RestPublished in: Cancers (2022)
Delta-radiomics and radiomics features extracted from baseline and follow-up PET/CT images could predict outcome in NSCLC patients treated with immunotherapy and identify patients who would benefit from this new standard. These data reinforce the rationale for the use of advanced image analysis of PET/CT scans to further improve personalized treatment management in advanced NSCLC.
Keyphrases
- pet ct
- small cell lung cancer
- deep learning
- contrast enhanced
- lymph node metastasis
- advanced non small cell lung cancer
- positron emission tomography
- computed tomography
- convolutional neural network
- brain metastases
- electronic health record
- magnetic resonance imaging
- optical coherence tomography
- magnetic resonance
- squamous cell carcinoma
- combination therapy
- artificial intelligence