Update on the Treatment of Patients With Non–Genotype 1 Hepatitis C Virus Infection

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Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients.

Computed Tomography (CT) is widely used in oncology for morphological evaluation and diagnosis, commonly through visual assessments, often exploiting semi-automatic tools as well. Well-established automatic methods for quantitative imaging offer the opportunity to enrich the radiologist interpretation with a large number of radiomic features, which need to be highly reproducible to be used reliably in clinical practice. This study investigates feature reproducibility against noise, varying resolutions and segmentations (achieved by perturbing the regions of interest), in a CT dataset with heterogeneous voxel size of 98 renal cell carcinomas (RCCs) and 93 contralateral normal kidneys (CK). In particular, first order (FO) and second order texture features based on both 2D and 3D grey level co-occurrence matrices (GLCMs) were considered. Moreover, this study carries out a comparative analysis of three of the most commonly used interpolation methods, which need to be selected before any resampling procedure. Results showed that the Lanczos interpolation is the most effective at preserving original information in resampling, where the median slice resolution coupled with the native slice spacing allows the best reproducibility, with 94.6% and 87.7% of features, in RCC and CK, respectively. GLCMs show their maximum reproducibility when used at short distances

Resposta impulso matricial e matriz de transferência no controle vibratório e suspensão ativa

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Resposta impulso matricial e matriz de transferência no controle vibratório e suspensão ativa

06

Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients

Computed Tomography (CT) is widely used in oncology for morphological evaluation and diagnosis, commonly through visual assessments, often exploiting semi-automatic tools as well. Well-established automatic methods for quantitative imaging offer the opportunity to enrich the radiologist interpretation with a large number of radiomic features, which need to be highly reproducible to be used reliably in clinical practice. This study investigates feature reproducibility against noise, varying resolutions and segmentations (achieved by perturbing the regions of interest), in a CT dataset with heterogeneous voxel size of 98 renal cell carcinomas (RCCs) and 93 contralateral normal kidneys (CK). In particular, first order (FO) and second order texture features based on both 2D and 3D grey level co-occurrence matrices (GLCMs) were considered. Moreover, this study carries out a comparative analysis of three of the most commonly used interpolation methods, which need to be selected before any resampling procedure. Results showed that the Lanczos interpolation is the most effective at preserving original information in resampling, where the median slice resolution coupled with the native slice spacing allows the best reproducibility, with 94.6% and 87.7% of features, in RCC and CK, respectively. GLCMs show their maximum reproducibility when used at short distances

Treatment optimization and prediction of HCV clearance in patients with acute HCV infection

Background & Aims The lack of consensus on the optimal timing, regimen, and duration of treatment, in patients with acute HCV infection, stimulates the research on both favourable outcome predictors and individualized treatment regimens. This study aimed at investigating the impact of IL28B SNP rs12979860 alone or in combination with HLA class II alleles in both predicting spontaneous viral clearance and individualizing treatment strategies for patients with HCV persistence, after acute HCV exposure. Methods 178 patients with AHC, consecutively treated with interferon alone or in combination with ribavirin, starting within or after 48 weeks from the diagnosis of AHC, were tested for IL28B SNPs and HLA class II alleles. Results Spontaneous viral clearance was achieved in 28% of 169 patients available for genetic testing. Factors associated with HCV elimination were jaundice (OR 2.75, 95% CI 1.31-5.77) and IL28B CC (OR 3.87, CI 1.71-8.51), but not HLA alleles. In CT/TT patients without jaundice, NPV for virus persistence was 98%. In patients with IL28B CT/TT, starting treatment 48 weeks after the onset was significantly associated with lower rates of response (28% vs. 100%, p = 0.027). By contrast, no significant differences in the rate of SVR were observed for CC carriers who started treatment later (65% vs. 85%, p = 1.0). Conclusions In patients with acute HCV hepatitis, lack of viral clearance may be predicted by absence of jaundice and IL28B CT/TT genotype; in patients with these characteristics, treatment needs to be started immediately. © 2013 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved