64 research outputs found
Real-time ultrasound elastography for assessment of response to brentuximab vedotin treatment in relapsed and refractory Hodgkin lymphoma.
No full textA case of thermal sink during liver Radiofrequency Thermal Ablation of an HCC adjacent to a large hepatic cystic lesion
No full textHeat sink during radiofrequency ablation of a hepatocellular carcinoma abutting a large hepatic cystic lesion.
No full textIn vivo RFTA of Small Breast Carcinoma
No full textBackground: Radio-frequency ablation (RFA) has
recently received much attention as an effective minimally
invasive strategy for the local treatment of tumors. The purpose
of this study was to evaluate the efficacy of single-needle cooltip
RF breast ablation in terms of temperature distribution and
duration of the procedure as compared to multiprobe RF
breast ablation. Materials and Methods: Two different
commercially available radiofrequency ablation needle
electrodes were compared. Finite-element method (FEM)
models were developed to simulate the thermoablation
procedures. A series of ex vivo radiofrequency thermal lesions
were induced to check the response of the FEM calculations.
Results: Data obtained from FEM models and from ex vivo
procedures showed that cool-tip RF breast ablation assures
better performances than multiprobe RF breast ablation in
terms of temperature distribution and duration of the
procedure. Histopathological analysis of the cool-tip RF
thermoablated specimens showed successful induction of
coagulation necrosis in the thermoablated specimens.
Conclusion: Data obtained from FEM models and from ex
vivo procedures suggest that the proposed cool-tip RF breast
ablation may kill more tumor cells in vivo with a single
application than the multiprobe RF breast ablation
Inappropriateness of diagnostic imaging examinations in the inpatient setting. A case study research.
No full textValutazione in vivo dei nervi ottici di pazienti glaucomatosi mediante Risonanza Magnetica con tensore di diffusione, confronto con gli indici del GDXvcc, dell’HRT3 e dell’OCT
No full textWhite Matter Anisotropy in Patients with Hereditary Spastic Paraplegia: SPG11 versus SPG4 Mutation
No full textOptic Nerve and Optic Radiation Neurodegeneration in Glaucoma Patients: An in Vivo Analysis with 3 Tesla MR Diffusion Tensor Imaging
No full textAccuracy of early and delayed FDG PET-CT and of contrast-enhanced CT in the evaluation of lung nodules: a preliminary study on 30 patients
No full textPurpose. The aim of our prospective study was to compare the diagnostic accuracy of early, delayed and dual-timepoint positron emission tomography (PET) acquisition with contrast enhanced computed tomography (CT) within a PET-CT examination in the evaluation of pulmonary solitary nodules (SPNs). Materials and methods. Thirty patients were enrolled in the study. All the patients underwent a dual-time-point PET-CT examination. Whole-body PET images were acquired at 50 min after fluorine 18-fluorodeoxyglucose (F-18-FDG) administration (early), followed by a chest acquisition (delayed). Lung nodules with maximum standardised uptake value SUVmax >= 2.5 were considered malignant. SUVmax was calculated on early and delayed images; SUV increasing >= 10% (Delta SUVmax) was considered suggestive of malignancy. Absence of significant lung nodule enhancement (< 15 Delta HU) at CT was considered strongly predictive of benignity. For the CT morphological assessment, the irregularity of the shape of each lesion was rated. PET-CT results were related to histological assays and clinical records. Diagnostic accuracy was assessed by area under the receiver-operarting characteristic (ROC) curves analysis. Results. Early and delayed SUVmax of malignant nodules were significantly higher than those of benign disease. Early SUVmax sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 77%, 91%, 79.5% and 66.7%; delayed SUVmax corresponding values were 77%, 66%, 74% and 66%; dual-time-point SUVmax values were 83%, 67%, 75% and 74%;.HU values were 94%, 34%, 67%, 96%; CT morphologic evaluation values were 61%, 46%, 60%, 47%. Area under the curve (AUC) for early SUVmax was 0.79, for delayed SUVmax 0.80, for dual-time-point SUVmax 0.85, for Delta HU 0.63 and for CT morphologic assessment 0.58. Conclusions. In our small series of patients, early and delayed SUVmax showed comparable accuracies, whereas morphological and contrast enhanced CT evaluations showed the lowest accuracies. Dual-time-point SUVmax showed the largest AUC. However, dual-time-point SUVmax was most sensitive, whereas single-time-point SUVmax was most specific
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