Publications by authors named "Ammari S"

Introduction: The incidence of venous thromboembolism is estimated to be around 3% of cancer patients. However, a majority of incidental pulmonary embolism (iPE) can be overlooked by radiologists in asymptomatic patients, performing CT scans for disease surveillance, which may significantly impact the patient's health and management. Routine imaging in oncology is usually reviewed with delayed hours after the acquisition of images.

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Background Tumor fraction (TF) at liquid biopsy is a potential noninvasive marker for tumor burden, but validation is needed. Purpose To evaluate TF as a potential surrogate for tumor burden, assessed at contrast-enhanced CT across diverse metastatic cancers. Methods This retrospective monocentric study included patients with cancer and metastatic disease, with TF results and contemporaneous contrast-enhanced CT performed between January 2021 and January 2023.

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  • * This paper aims to create a machine learning algorithm using MRI characteristics to classify parotid gland tumors and compares its effectiveness against diagnoses made by junior and senior radiologists, incorporating data from 134 patients.
  • * The study's random forest model achieved notable accuracy (0.720) and improved diagnostic abilities for junior radiologists by 6%, suggesting the algorithm could enhance the identification of tumor types and reduce the need for invasive procedures, though further research is needed for routine implementation.
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Dakhla Bay, situated on the African Atlantic coast, has witnessed sporadic harmful algal blooms (HABs) caused by toxic dinoflagellate species over the past two decades. In this study, we investigated the distribution, abundance, and diversity of dinoflagellate cysts, with a focus on potentially toxic species that develop in this ecosystem where such data are lacking. Sediment samples were collected in April 2018 through coring at 49 stations distributed across the bay.

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  • AGuIX nanoparticles are gadolinium-based agents that serve as both MRI contrast agents and enhance the effectiveness of X-ray radiation therapy for cancer treatment.
  • A phase I trial tested the safety and optimal dosage of AGuIX in combination with conventional therapies for 12 patients with advanced cervical cancer, showing good tolerability and no severe side effects.
  • The treatment resulted in complete remission of the primary tumors in all but one patient, highlighting the potential of these nanoparticles to improve the precision of tumor targeting and enhance radiotherapy outcomes.
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  • Trifluridine/tipiracil (FTD/TPI) combined with oxaliplatin is being studied for its effectiveness and safety in patients with advanced gastric cancers who can't handle standard chemotherapy.
  • The research aims to compare this combination treatment against the standard FOLFOX regimen, focusing on improving progression-free survival (PFS).
  • The ongoing PRODIGE73-UCGI40-LOGICAN trial includes 118 patients and will provide valuable insights into treatment options for HER2 negative gastric cancer in a first-line setting.
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Background: This retrospective study determined survival responses to immune checkpoint inhibitors (ICIs), comparing mono- (mono) and combo-immunotherapy (combo) in patients with microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) by analyzing quantitative imaging data and clinical factors.

Methods: One hundred fifty patients were included from two centers and divided into training (n = 105) and validation (n = 45) cohorts. Radiologists manually annotated chest-abdomen-pelvis computed tomography and calculated tumor burden.

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  • - The review discusses how integrating artificial intelligence (AI) with positron emission tomography (PET) imaging can enhance drug discovery, particularly in the field of oncology and immunotherapy.
  • - Out of 87 studies initially identified, 15 specifically focused on the application of AI and PET for drug discovery, with most studies using a combination of PET and CT images and analyzing data mostly from single institutions.
  • - Although many studies explored AI's role in prognosis and tumor phenotyping, there are concerns about the validity of their models, with a significant portion lacking rigorous validation methods. Overall, this integration could revolutionize the therapeutic development process but requires further investigation.
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Introduction: Cutaneous squamous cell carcinoma (cSCC) is the second most common skin cancer, accounting for 20% of malignant skin tumors. Dermoscopy is a very useful tool for diagnosing cSCC, and its findings are confirmed through histopathological studies.

Objectives: to describe the different dermoscopic structures of invasive cSCC and investigate their association with the clinical form and histopathological grade of differentiation.

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Standard-of-care medical imaging techniques such as CT, MRI, and PET play a critical role in managing patients diagnosed with metastatic cutaneous melanoma. Advancements in artificial intelligence (AI) techniques, such as radiomics, machine learning, and deep learning, could revolutionize the use of medical imaging by enhancing individualized image-guided precision medicine approaches. In the present article, we will decipher how AI/radiomics could mine information from medical images, such as tumor volume, heterogeneity, and shape, to provide insights into cancer biology that can be leveraged by clinicians to improve patient care both in the clinic and in clinical trials.

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[F]-FDG positron emission tomography with computed tomography (PET/CT) imaging is widely used to enhance the quality of care in patients diagnosed with cancer. Furthermore, it holds the potential to offer insight into the synergic effect of combining radiation therapy (RT) with immuno-oncological (IO) agents. This is achieved by evaluating treatment responses both at the RT and distant tumor sites, thereby encompassing the phenomenon known as the abscopal effect.

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  • Immunotherapy has improved outcomes for patients with metastatic melanoma but has revealed new response patterns, increasing the need for better biomarkers to predict patient benefits and side effects.
  • A literature review of 12 studies up to early 2022 focused on the role of artificial intelligence (AI) in analyzing melanoma patients treated with immunotherapy, showing CT imaging was most commonly used.
  • Most studies aimed to develop AI tools for predicting treatment responses and outcomes, though validation methods varied, highlighting the necessity for more robust testing with diverse patient groups for future integration into clinical settings.
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Background: Immune-checkpoint inhibitor (ICI) hepatitis, which does not improve with steroids and requires additional immunosuppressant, is defined as steroid-refractory ICI hepatitis. The outcome of patients with steroid-refractory ICI hepatitis remains poorly determined. Herein, we investigated the incidence, clinical features, and outcome of patients treated with second-line immunosuppressant for steroid-refractory ICI hepatitis.

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Background: Our aim was to explore the prognostic value of anthropometric parameters in a large population of patients treated with immunotherapy.

Methods: We retrospectively included 623 patients with advanced non-small cell lung cancer (NSCLC) (n=318) or melanoma (n=305) treated by an immune-checkpoint-inhibitor having a pretreatment (thorax-)abdomen-pelvis CT scan. An external validation cohort of 55 patients with NSCLC was used.

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Background: Phase I trials historically involved heavily pretreated patients (pts) with no more effective therapeutic options available and with poor expected outcomes. There are scare data regarding profile and outcomes of pts enrolled into modern phase I trials. Here, we sought to provide an overview of pts' profile and outcome into phase I trials at Gustave Roussy (GR).

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Purpose Of Review: This review presents the rationale for intratumoral immunotherapy, technical considerations and safety. Clinical results from the latest trials are provided and discussed.

Recent Findings: Intratumoral immunotherapy is feasible and safe in a wide range of cancer histologies and locations, including lung and liver.

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  • Recent clinical trials have started exploring the use of metallic nanoparticles (NPs) in radiotherapy for locally advanced cervical cancers, but current planning doesn't consider NP concentrations in target areas.
  • A method was developed to assess the biological effects of NPs on radiation, involving a calibration phantom and advanced MRI techniques that quantified NP levels in four patients, compared against mass spectrometry results from biopsies.
  • The study showed that NPs can enhance the effects of radiotherapy by about 15% at a dose of 2 Gy, positively influencing local tumor control, suggesting a need to integrate NP effects into future radiotherapy treatment plans.
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Purpose: Angiogenesis plays a key role in glioblastoma, but most anti-angiogenic therapy trials have failed to change the poor outcome of this disease. Despite this, and because bevacizumab is known to alleviate symptoms, it is used in daily practice. We aimed to assess the real-life benefit in terms of overall survival, time to treatment failure, objective response, and clinical benefit in patients with recurrent glioblastoma treated with bevacizumab.

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Purpose: The objective of the study is to propose the immunotherapy progression decision (iPD) score, a practical tool based on patient features that are available at the first evaluation of immunotherapy treatment, to help oncologists decide whether to continue the treatment or switch rapidly to another therapeutic line when facing a progressive disease patient at the first evaluation.

Experimental Design: This retrospective study included 107 patients with progressive disease at first evaluation according to RECIST 1.1.

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  • This study aimed to create a method for generating synthetic MR images of macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) to improve imaging capabilities.* -
  • Researchers used MR images from 91 patients with MTM-HCC and a separate group of 67 patients, employing a 3-step pipeline to create realistic synthetic images and evaluating them with the help of radiologists.* -
  • The results showed that 1000 synthetic images were generated with consistent quality, achieving a score of 0.64 in evaluations, suggesting promising potential for these images in automatic diagnosis but indicating the need for further research.*
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Background: Body composition could help to better define the prognosis of cancers treated with anti-angiogenics. The aim of this study is to evaluate the prognostic value of 3D and 2D anthropometric parameters in patients given anti-angiogenic treatments. Methods: 526 patients with different types of cancers were retrospectively included.

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  • Recent studies indicate that combining cancer immunotherapy drugs can improve survival rates for patients with advanced mesothelioma who respond to treatment.
  • A trial involving pembrolizumab and nintedanib revealed that patients resistant to these treatments had active immune responses, but also exhibited genetic alterations linked to inflammation and immune suppression in their tumors.
  • Findings suggest that understanding the specific tumor biology of mesothelioma could lead to more effective, tailored combination therapies for better patient outcomes.
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Background: Generalised oedema was occasionally reported associated with immune checkpoint inhibitors (ICPIs). The purpose of this study is to investigate immune-related generalised oedema (ir-GE) drug related to ICPI, through frequency, clinical and pathological characteristics, and patient's outcome.

Patients And Methods: Objectives of the study were to report on ir-GE associated with ICPI to define frequency, associated signs and symptoms, pathological characteristics, severity, and response to corticosteroids.

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