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Baseline Radiomic Signature to Estimate Overall Survival in Patients With NSCLC.
Dercle, Laurent; Fronheiser, Matthew; Rizvi, Naiyer A; Hellmann, Matthew D; Maier, Sabine; Hayes, Wendy; Yang, Hao; Guo, Pingzhen; Fojo, Tito; Schwartz, Lawrence H; Zhao, Binsheng; Leung, David K.
Afiliação
  • Dercle L; Department of Radiology, Columbia University Medical Center, New York, New York. Electronic address: ld2752@cumc.columbia.edu.
  • Fronheiser M; Bristol Myers Squibb, Princeton, New Jersey.
  • Rizvi NA; Department of Radiology, Columbia University Medical Center, New York, New York.
  • Hellmann MD; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Maier S; Bristol Myers Squibb, Princeton, New Jersey.
  • Hayes W; Bristol Myers Squibb, Princeton, New Jersey.
  • Yang H; Department of Radiology, Columbia University Medical Center, New York, New York.
  • Guo P; Department of Radiology, Columbia University Medical Center, New York, New York.
  • Fojo T; Department of Radiology, Columbia University Medical Center, New York, New York.
  • Schwartz LH; Department of Radiology, Columbia University Medical Center, New York, New York.
  • Zhao B; Department of Radiology, Columbia University Medical Center, New York, New York.
  • Leung DK; Bristol Myers Squibb, Princeton, New Jersey.
J Thorac Oncol ; 18(5): 587-598, 2023 05.
Article em En | MEDLINE | ID: mdl-36646209
ABSTRACT

INTRODUCTION:

We aimed to define a baseline radiomic signature associated with overall survival (OS) using baseline computed tomography (CT) images obtained from patients with NSCLC treated with nivolumab or chemotherapy.

METHODS:

The radiomic signature was developed in patients with NSCLC treated with nivolumab in CheckMate-017, -026, and -063. Nivolumab-treated patients were pooled and randomized to training, calibration, or validation sets using a 211 ratio. From baseline CT images, volume of tumor lesions was semiautomatically segmented, and 38 radiomic variables depicting tumor phenotype were extracted. Association between the radiomic signature and OS was assessed in the nivolumab-treated (validation set) and chemotherapy-treated (test set) patients in these studies.

RESULTS:

A baseline radiomic signature was identified using CT images obtained from 758 patients. The radiomic signature used a combination of imaging variables (spatial correlation, tumor volume in the liver, and tumor volume in the mediastinal lymph nodes) to output a continuous value, ranging from 0 to 1 (from most to least favorable estimated OS). Given a threshold of 0.55, the sensitivity and specificity of the radiomic signature for predicting 3-month OS were 86% and 77.8%, respectively. The signature was identified in the training set of patients treated with nivolumab and was significantly associated (p < 0.0001) with OS in patients treated with nivolumab or chemotherapy.

CONCLUSIONS:

The radiomic signature provides an early readout of the anticipated OS in patients with NSCLC treated with nivolumab or chemotherapy. This could provide important prognostic information and may support risk stratification in clinical trials.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Thorac Oncol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Thorac Oncol Ano de publicação: 2023 Tipo de documento: Article