Publications by authors named "Fuensanta Bellvis-Bataller"
Article Synopsis
- This study aims to create predictive models for treatment outcomes in patients with relapsed/refractory B-cell lymphoma undergoing CAR-T therapy by analyzing imaging data and clinical information.
- It includes a cohort of 65 patients, utilizing imaging features from PET/CT scans to assess treatment response, overall survival, progression-free survival, and neurotoxicity risk associated with the therapy.
- The results demonstrated that combining imaging features with clinical data significantly enhances prediction accuracy for treatment-related outcomes, highlighting the importance of metabolic tumor volume (MTV) in stratifying patient prognosis.
Article Synopsis
- - The study focused on identifying imaging biomarker profiles from MRIs of prostate cancer (PCa) patients to predict their risk of biochemical recurrence (BCR) and help guide treatment decisions.
- - Researchers analyzed MRI data from 128 patients who received neoadjuvant therapy, finding that certain radiomic features related to heterogeneity could differentiate between patients with varying prognosis and those who experienced BCR.
- - The combined imaging and clinical data led to significantly improved predictions of BCR risk, indicating that utilizing region-specific imaging profiles allows for better identification of high-risk patients.
Background: Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by a heterogeneous and abnormal vascularity. Subtypes of vascular habitats within the tumor and edema can be distinguished: high angiogenic tumor (HAT), low angiogenic tumor (LAT), infiltrated peripheral edema (IPE), and vasogenic peripheral edema (VPE).
Purpose: To validate the association between hemodynamic markers from vascular habitats and overall survival (OS) in glioblastoma patients, considering the intercenter variability of acquisition protocols.