Publications by authors named "D Chardin"
Aim: To determine the long-term prognosis of immune-related response profiles (pseudoprogression and dissociated response), not covered by conventional PERCIST criteria, in patients with non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs).
Methods: 109 patients were prospectively included and underwent [F]FDG-PET/CT at baseline, after 7 weeks (PET1), and 3 months (PET2) of treatment. On PET1, tumor response was assessed using standard PERCIST criteria.
Purpose: Because of atypical response imaging patterns in patients with metastatic non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs), new biomarkers are needed for a better monitoring of treatment efficacy. The aim of this prospective study was to evaluate the prognostic value of volume-derived positron-emission tomography (PET) parameters on baseline and follow-up F-fluoro-deoxy-glucose PET (F-FDG-PET) scans and compare it with the conventional PET Response Criteria in Solid Tumors (PERCIST).
Methods: Patients with metastatic NSCLC were included in two different single-center prospective trials.
The aim of this study was to identify metabolomic signatures associated with the gliomagenesis pathway (-mutant or -wt) and tumor grade of diffuse gliomas (DGs) according to the 2021 WHO classification on frozen samples and to evaluate the diagnostic performances of these signatures in tumor samples that are formalin-fixed and paraffin-embedded (FFPE). An untargeted metabolomic study was performed using liquid chromatography/mass spectrometry on a cohort of 213 DG samples. Logistic regression with LASSO penalization was used on the frozen samples to build classification models in order to identify -mutant vs.
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- The study indicates that traditional methods struggle to pinpoint non-metastatic breast cancer patients who might benefit from chemotherapy, suggesting that metabolomics could offer new insights.
- Five unsupervised machine learning techniques were used to cluster patients, revealing distinct survival outcomes; PCA k-means emerged as the most reliable method for predicting survival.
- The research highlights the potential of ML methods in metabolomic analysis for predicting progression-free survival, but calls for further studies with larger populations to validate findings on cancer-specific and overall survival.
Background And Purpose: The aim of our prospective study was to assess the prognostic value of 18F-FDG PET/CT performed two months post treatment for anal canal neoplasm.
Population And Methods: Consecutive patients with histologically proved anal cancer, with 18F-FDG PET/CT pre and two months post treatment were included. Patients were not previously treated for this neoplasm and then received radiotherapy ± chemotherapy.