A5045198485- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Cancer Immunotherapy and Biomarkers
- Metabolomics and Mass Spectrometry Studies
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Gene expression and cancer classification
- Lung Cancer Research Studies
- Traditional Chinese Medicine Studies
- Glioma Diagnosis and Treatment
- Genetic Neurodegenerative Diseases
- Sarcoma Diagnosis and Treatment
- Breast Cancer Treatment Studies
- Head and Neck Cancer Studies
- Cancer, Hypoxia, and Metabolism
- Colorectal and Anal Carcinomas
- Ferroptosis and cancer prognosis
- Brain Metastases and Treatment
- Neurological diseases and metabolism
- Cancer Genomics and Diagnostics
- MRI in cancer diagnosis
- Forensic Toxicology and Drug Analysis
- Intraperitoneal and Appendiceal Malignancies
- Tryptophan and brain disorders
- Cancer, Stress, Anesthesia, and Immune Response
Centre Antoine Lacassagne
2017-2025
Université Côte d'Azur
2019-2024
Hôpital l'Archet
2024
Inserm
2024
Centre National de la Recherche Scientifique
2024
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2022-2023
Direction de la Recherche Fondamentale
2022-2023
Frédéric Joliot Institute for Life Sciences
2023
Observatoire de la Côte d’Azur
2022
Polis University
2021
Background Reliable predictive and prognostic markers are still lacking for patients treated with programmed death receptor 1 (PD1) inhibitors non-small cell lung cancer (NSCLC). The purpose of this study was to investigate the values different baseline metabolic parameters, including tumor volume (MTV), from 18F-fluorodeoxyglucose positron emission tomography–computed tomography ( 18 F-FDG PET/CT) scans in NSCLC PD1 inhibitors. Methods Maximum peak standardized uptake values, MTV total...
Purpose Because of atypical response imaging patterns in patients with metastatic non-small cell lung cancer (NSCLC) treated immune checkpoint inhibitors (ICPIs), new biomarkers are needed for a better monitoring treatment efficacy. The aim this prospective study was to evaluate the prognostic value volume-derived positron-emission tomography (PET) parameters on baseline and follow-up 18 F-fluoro-deoxy-glucose PET ( F-FDG-PET) scans compare it conventional Response Criteria Solid Tumors...
When evaluating metastatic tumor response to systemic therapies, dissociated is defined as the coexistence of responding and non-responding lesions within same patient. Although commonly observed on interim whole-body imaging, current criteria in solid cancer do not consider this evolutive pattern, which is, by default, assimilated progression. With targeted therapies chemotherapies, with different frequencies, depending primary type, treatment, imaging modality. Because FDG PET/CT can...
Genomics and transcriptomics have led to the widely-used molecular classification of breast cancer (BC). However, heterogeneous biological behaviors persist within subtypes. Metabolomics is a rapidly-expanding field study dedicated cellular metabolisms affected by environment. The aim this was compare metabolomic signatures BC obtained 5 different unsupervised machine learning (ML) methods. Fifty-two consecutive patients with an indication for adjuvant chemotherapy between 2013 2016 were...
Presently, there is a wide variety of classification methods and deep neural network approaches in bioinformatics. Deep networks have proven their effectiveness for tasks, outperformed classical methods, but they suffer from lack interpretability. Therefore, these innovative are not appropriate decision support systems healthcare. Indeed, to allow clinicians make informed well thought out decisions, the algorithm should provide main pieces information used compute predicted diagnosis and/or...
FDOPA PET shows good performance for the diagnosis of striatal dopaminergic denervation, making it a valuable tool differential Parkinsonism. Textural features are image biomarkers that could potentially improve early and monitoring neurodegenerative parkinsonian syndromes. We explored performances textural binary classification scans.We used two datasets: 443 scans feature selection, 100 from different PET/CT system model testing. Scans were labelled according to expert interpretation...
We evaluated the prognostic value of immunotherapy-induced organ inflammation observed on 18FDG PET in patients with non-small cell lung cancer (NSCLC) treated immune checkpoint inhibitors (ICPIs).Data from IIIB/IV NSCLC included two different prospective trials were analyzed. PET/CT exams performed at baseline (PETBaseline) and repeated after 7-8 weeks (PETInterim1) 12-16 (PETInterim2) treatment, using iPERCIST for tumor response evaluation. The occurrence abnormal uptake, deemed to be due...
Abstract 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 immune checkpoint inhibitors (ICPIs). Methods 109 were prospectively included underwent [ 18 F]FDG-PET/CT at baseline, after 7 weeks (PET interim 1), 3 months 2) treatment. On PET 1, tumor was assessed using standard criteria. In event progression this...
The aim of this study was to identify metabolomic signatures associated with the gliomagenesis pathway (IDH-mutant or IDH-wt) and tumor grade diffuse gliomas (DGs) according 2021 WHO classification on frozen samples evaluate diagnostic performances these in that are formalin-fixed paraffin-embedded (FFPE). An untargeted performed using liquid chromatography/mass spectrometry a cohort 213 DG samples. Logistic regression LASSO penalization used build models order IDH-mutant vs. IDH-wildtype...
Exogenous lipoid pneumonia is a rare condition due to abnormal presence of oily substances in the lungs. It rarely known cause for false positive FDG PET-CT results and can sometimes lead invasive investigations. Searching finding source substance one keys diagnosis. Inhalation drugs during snorting has been described.A patient with well controlled HIV infection was referred an assess extension Kaposi's disease, recently removed from his right foot. The had no particular symptoms.Abnormal...
The aim of the study was to evaluate clinical utility pretreatment 18F-FDG PET/CT with quantitative evaluation peritoneal metabolic cartography in relation staging laparoscopy for ovarian carcinomatosis.A retrospective review prospectively collected data from 84 patients FIGO (International Federation Gynecology and Obstetrics) stage IIIC IV cancer carried out. All had a double-blinded review. Discriminant capacity parameters identify carcinomatosis 13 abdominal regions according index...
PurposeMeta-analyses failed to accurately identify patients with non-metastatic breast cancer who are likely benefit from chemotherapy, and metabolomics could provide new answers. In our previous published work, were clustered using five different unsupervised machine learning (ML) methods resulting in the identification of three clusters distinct clinical simulated survival data. The objective this study was evaluate outcomes, extended follow-up, same 5 learning.Experimental...
When using 18F-FDG PET, glucose metabolism quantification is affected by various factors. We aimed to investigate the benefit of different standardized uptake value (SUV) normalizations improve accuracy predict breast cancer aggressiveness and response treatment.Two hundred fifty-two women with locally advanced treated neoadjuvant chemotherapy (NAC) were included. Women underwent PET before after first course NAC. Glucose serum levels, patient heights weights recorded at time each exam. Four...
Supervised classification methods have been used for many years feature selection in metabolomics and other omics studies. We developed a novel primal-dual based method (PD-CR) that can perform with rejection on high dimensional datasets. PD-CR projects data onto low dimension space performs by minimizing an appropriate quadratic cost. It simultaneously optimizes the selected features prediction accuracy new tailored, constrained method. The framework is general enough to encompass various...