Hyperprogressive disease is a new pattern of progression in cancer patients treated by anti-PD-1/PD-L1
Purpose: While immune checkpoint inhibitors are disrupting the management of patients with
cancer, anecdotal occurrences of rapid progression (ie, hyperprogressive disease or HPD) …
cancer, anecdotal occurrences of rapid progression (ie, hyperprogressive disease or HPD) …
A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective …
…, L Verlingue, D Brandao, A Lancia, S Ammari… - The Lancet …, 2018 - thelancet.com
Background Because responses of patients with cancer to immunotherapy can vary in success,
innovative predictors of response to treatment are urgently needed to improve treatment …
innovative predictors of response to treatment are urgently needed to improve treatment …
Mechanisms and therapeutic implications of hypermutation in gliomas
…, C Baldini, M Verreault, M Giry, E Guillerm, S Ammari… - Nature, 2020 - nature.com
A high tumour mutational burden (hypermutation) is observed in some gliomas 1 , 2 , 3 , 4 –
5 ; however, the mechanisms by which hypermutation develops and whether it predicts the …
5 ; however, the mechanisms by which hypermutation develops and whether it predicts the …
High-throughput genomics and clinical outcome in hard-to-treat advanced cancers: results of the MOSCATO 01 trial
…, L Verlingue, E Ileana, S Rosellini, S Ammari… - Cancer discovery, 2017 - AACR
High-throughput genomic analyses may improve outcomes in patients with advanced cancers.
MOSCATO 01 is a prospective clinical trial evaluating the clinical benefit of this approach. …
MOSCATO 01 is a prospective clinical trial evaluating the clinical benefit of this approach. …
[HTML][HTML] Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics
…, M Lerousseau, J Briend-Diop, R Sun, S Ammari… - Scientific reports, 2020 - nature.com
Radiomics relies on the extraction of a wide variety of quantitative image-based features to
provide decision support. Magnetic resonance imaging (MRI) contributes to the …
provide decision support. Magnetic resonance imaging (MRI) contributes to the …
[HTML][HTML] Outcome of patients with non–small cell lung cancer and brain metastases treated with checkpoint inhibitors
…, C le Pechoux, A Botticella, S Ammari… - Journal of Thoracic …, 2019 - Elsevier
Introduction Although frequent in NSCLC, patients with brain metastases (BMs) are often
excluded from immune checkpoint inhibitor (ICI) trials. We evaluated BM outcome in a less-…
excluded from immune checkpoint inhibitor (ICI) trials. We evaluated BM outcome in a less-…
[HTML][HTML] Determinants of the outcomes of patients with cancer infected with SARS-CoV-2: results from the Gustave Roussy cohort
…, F Netzer, T Hueso, C Balleyguier, S Ammari… - Nature Cancer, 2020 - nature.com
Patients with cancer are presumed to be at increased risk of severe COVID-19 outcomes
due to underlying malignancy and treatment-induced immunosuppression. Of the first 178 …
due to underlying malignancy and treatment-induced immunosuppression. Of the first 178 …
Tumor growth rate is an early indicator of antitumor drug activity in phase I clinical trials
Purpose: Response Evaluation Criteria in Solid Tumors (RECIST) evaluation does not take
into account the pretreatment tumor kinetics and may provide incomplete information about …
into account the pretreatment tumor kinetics and may provide incomplete information about …
[HTML][HTML] Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais… - Nature …, 2021 - nature.com
The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying
predictors of disease severity is a priority. We collect 58 clinical and biological variables, and …
predictors of disease severity is a priority. We collect 58 clinical and biological variables, and …
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules
…, P Otal, JM Peron, L Luk, H Yang, S Ammari… - European …, 2020 - Springer
Purpose To enhance clinician’s decision-making by diagnosing hepatocellular carcinoma (HCC)
in cirrhotic patients with indeterminate liver nodules using quantitative imaging features …
in cirrhotic patients with indeterminate liver nodules using quantitative imaging features …