A5040399841- Radiomics and Machine Learning in Medical Imaging
- Glioma Diagnosis and Treatment
- MRI in cancer diagnosis
- Cancer Immunotherapy and Biomarkers
- Advanced X-ray and CT Imaging
- Lymphoma Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Bone health and treatments
- CNS Lymphoma Diagnosis and Treatment
- Multiple Myeloma Research and Treatments
- Bladder and Urothelial Cancer Treatments
- Advanced Neuroimaging Techniques and Applications
- Statistical Methods in Clinical Trials
- Prostate Cancer Treatment and Research
- Pancreatic and Hepatic Oncology Research
- Cancer Genomics and Diagnostics
- Prostate Cancer Diagnosis and Treatment
- Colorectal Cancer Screening and Detection
- Neuroendocrine Tumor Research Advances
- Colorectal Cancer Surgical Treatments
- ZnO doping and properties
- Copper-based nanomaterials and applications
- Clinical Reasoning and Diagnostic Skills
- Renal function and acid-base balance
Vall d'Hebron Institute of Oncology
2018-2024
Vall d'Hebron Hospital Universitari
2020-2024
Vall d'Hebron Institut de Recerca
2020-2024
Hebron University
2022-2023
Hospital de Sant Pau
2020
Hospital Universitario Virgen de las Nieves
2019
CIBBIM-Nanomedicine
2018
Universidad Carlos III de Madrid
2018
Instituto Politécnico Nacional
2011
Abstract Objective To identify CT-acquisition parameters accounting for radiomics variability and to develop a post-acquisition CT-image correction method reduce improve classification in both phantom clinical applications. Methods protocols were prospectively tested phantom. The multi-centric retrospective study included CT scans of patients with colorectal/renal cancer liver metastases. Ninety-three features first order texture extracted. Intraclass correlation coefficients (ICCs) between...
Background Reliable predictive imaging markers of response to immune checkpoint inhibitors are needed. Purpose To develop and validate a pretreatment CT-based radiomics signature predict in advanced solid tumors. Materials Methods In this retrospective study, was developed patients with tumors (including breast, cervix, gastrointestinal) treated anti-programmed cell death-1 or programmed death ligand-1 monotherapy from August 2012 May 2018 (cohort 1). This tested bladder lung cancer (cohorts...
Most hyperprogression disease (HPD) definitions are based on tumor growth rate (TGR). However, there is still no consensus how to evaluate this phenomenon.We investigated two independent cohorts of patients with advanced solid tumors treated in phase I trials (i) programmed cell death 1 (PD-1)/PD-L1 antibodies monotherapy or combination and (ii) targeted agents (TA) unapproved indications. A Response Evaluation Criteria Solid Tumors (RECIST) 1.1-based definition was developed. The primary...
Purpose To identify precise three-dimensional radiomics features in CT images that enable computation of stable and biologically meaningful habitats with machine learning for cancer heterogeneity assessment. Materials Methods This retrospective study included 2436 liver or lung lesions from 605 scans (November 2010–December 2021) 331 patients (mean age, 64.5 years ± 10.1 [SD]; 185 male patients). Three-dimensional were computed original perturbed (simulated retest) different combinations...
Abstract Objective Presurgical differentiation between astrocytomas and oligodendrogliomas remains an unresolved challenge in neuro-oncology. This research aims to provide a comprehensive understanding of each tumor’s DSC-PWI signatures, evaluate the discriminative capacity cerebral blood volume (CBV) percentage signal recovery (PSR) percentile values, explore synergy CBV PSR combination for pre-surgical differentiation. Methods Patients diagnosed with grade 2 3 IDH-mutant 1p19q-codeleted...
Noninvasive differential diagnosis of brain tumors is currently based on the assessment magnetic resonance imaging (MRI) coupled with dynamic susceptibility contrast (DSC). However, a definitive often requires neurosurgical interventions that compromise patients' quality life. We apply deep learning DSC images from histology-confirmed patients glioblastoma, metastasis, or lymphoma. The convolutional neural network trained ∼50,000 voxels 40 provides intratumor probability maps yield...
Abstract Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy temozolomide, however prognosis extremely poor. Assessment residual tumor after surgery and patient stratification into prognostic groups (i.e., volume) currently hindered subjective evaluation enhancement in medical images (magnetic resonance imaging [MRI]). Furthermore, objective evidence defining optimal time to...
Abstract Tumor heterogeneity has been postulated as a hallmark of treatment resistance and cure constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be extended to computing voxel-wise features aggregating tumor subregions with similar radiological phenotypes (imaging habitats) elucidate the distribution within among tumors. Despite promising applications habitats, they may affected by variability radiomics features, preventing comparison generalization...
DSC-PWI has demonstrated promising results in the presurgical diagnosis of brain tumors. While most studies analyze specific parameters derived from time-intensity curves, very few have directly analyzed whole curves. The aims this study were following: 1) to design a new method postprocessing which renders normalized and 2) test its feasibility performance on primary central nervous system lymphoma.Diagnostic MR imaging patients with histologically confirmed lymphoma retrospectively...
Immunodeficiency-associated CNS lymphoma may occur in different clinical scenarios beyond AIDS. This subtype of is diffuse large B-cell and Epstein-Barr virus-positive. Its accurate presurgical diagnosis often unfeasible because it appears as ring-enhancing lesions mimicking glioblastoma or metastasis. In this article, we describe clinicoradiologic features test the performance DSC-PWI metrics for identification.Patients without AIDS with histologically confirmed virus-positive primary...
Image-guided interventions enable the surgeon to display position of instruments and devices with respect patient's imaging studies during surgery by means a tracker device. Optical trackers are commonly chosen for many surgical applications when high accuracy robustness required. OptiTrack is multicamera optical whose number sensors their spatial configuration can be adapted application requirements, making it suitable settings. Nonetheless, no extensive its available. The purpose this...
ObjectiveThis study evaluated the correlation between intratumoural stroma proportion, expressed as tumour-stroma ratio (TSR), and apparent diffusion coefficient (ADC) values in patients with rectal cancer.MethodsThis multicentre retrospective included all consecutive cancer, diagnostically confirmed by biopsy MRI. The training cohort (LUMC, Netherlands) 33 validation (VHIO, Spain) 69 patients. Two observers measured mean minimum ADCs based on single-slice whole-volume segmentations. TSR was...
More accurate predictive biomarkers in patients with gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are needed. This study aims to investigate radiomics-based tumour phenotypes as a surrogate biomarker of the vasculature and response prediction antiangiogenic targeted agents GEP-NETs.
Diffusion MRI has shown promising results for characterizing prostate cancer. However, diagnostic clinical apparent diffusion coefficient (ADC) limited specificity and interpretability. Towards addressing these limitations, we aim to unravel ADC into microstructural components using histology. Histology from two prostatectomies with cancer (Gleason 3+4, 4+3) were analysed in benign, inflammation regions. Cell tissue properties used decouple intracellular, extracellular-extravascular ADCs....
448 Background: Hyperprogressive disease (HPD) is a new pattern of progression in cancer patients (pts) treated with immune checkpoint inhibitors (ICI). The rate and outcome HDP pts metastatic renal carcinoma (RCC) urothelial (UC) are unknown. Here, we report the percentage HPD cohort GU malignancies at our center explore associations clinical variables. Methods: Medical records from phase I-III trials ICI alone or combination between July 2013 June 2018 were retrospectively reviewed. We...
Non-invasive differential diagnosis of brain tumours is currently based on the assessment tumour vascularity through magnetic resonance imaging (MRI) coupled with dynamic susceptibility contrast (DSC). However, given its limited accuracy, reaching a definitive often requires complex neurosurgical interventions that compromise patients’ quality life. We applied deep learning DSC images from histology-confirmed patients glioblastoma, metastasis or lymphoma, three most common malignancies. The...