Publications by authors named "Meriem Maajem"

Article Synopsis
  • - The study examines the limitations of current prognostic models for diffuse large B-cell lymphoma (DLBCL) in accurately reflecting patient diversity and outcomes, focusing on 89 untreated adults monitored for progression-free and overall survival.
  • - Researchers identified clinical and biological factors, such as high Ki67 levels, bulky disease, meningeal lymphomatosis, and a specific change in PET scan results, as strong predictors for patient survival and developed a new scoring system called KBMP4 based on these factors.
  • - The KBMP4 model successfully classified patients into low, intermediate, and high-risk groups, showing significantly different survival rates, suggesting that it could enhance prognostic accuracy and treatment strategies for DLBCL patients in clinical settings
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Background: The use of 18FDG-PET/CT for delineating a gross tumor volume (GTV, also called MTV metabolic tumor volume) in radiotherapy (RT) planning of head neck squamous cell carcinomas (HNSCC) is not included in current recommendations, although its interest for the radiotherapist is of evidence. Because pre-RT PET scans are rarely done simultaneously with dosimetry CT, the validation of a robust image registration tool and of a reproducible MTV delineation method is still required.

Objective: Our objective was to study a CT-based elastic registration method on dual-time pre-RT 18FDG-PET/CT images to assess the feasibility of PET-based RT planning in patients with HNSCC.

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Patients And Methods: Patients with WD-GEP-NET who benefited from a pretherapeutic 68Ga-DOTATOC PET/CT and a 177Lu-DOTATATE SPECT/CT after the cycle 1 of peptide receptor radionuclide therapy were prospectively included. SPECT/CT acquisitions were performed on a system calibrated with a conversion factor of 9.48 counts/MBq per second and were reconstructed with an iterative algorithm allowing quantification using the SPECTRA Quant software (MIM Software, Cleveland, OH).

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