To evaluate the differential effects of endograft fabric types on pulse wave velocity (PWV), a valid, clinically feasible marker of arterial stiffness, in patients undergoing endovascular repair (EVAR) of abdominal aortic aneurysms (AAAs). As part of a registered study (ClinicalTrials.gov identifier NCT00636766), 118 consecutive men (mean age 71 ± 8 years) with AAA undergoing elective EVAR were divided into groups according to the type of fabric in the implanted endografts: 46 had polytetrafluoroethylene (PTFE)-covered stent-grafts and 72 received stent-grafts covered with polyester fabric. Patients with Marfan syndrome, collagen-related disorders, and end-stage renal failure were excluded. PWV, clinical characteristics (comorbidities, body mass index, blood pressure, lipids, and glucose profile), novel biomarkers [interleukin (IL)-6, IL-8, IL-10, and osteoprotegerin (OPG)] were determined at baseline and prospectively after 12 months. At baseline, standard multiple regression analysis revealed the independent association of mean blood pressure, OPG, and AAA diameter with PWV after adjustment for age (R(2)=0.729, p=0.036). At follow-up, serum levels of both IL-8 and IL-10 were significantly increased, while OPG decreased in both groups (p<0.05). However, between-group comparison revealed a more adverse effect of polyester covered endografts on serum IL-8 (p<0.001) and OPG (p=0.048) levels. At the same time, PWV was considerably increased in both polyester (+4.12±0.33 m/s, p<0.001) and PTFE (+2.82 ± 0.25 m/s, p=0.003) groups; the effect was more pronounced in the former group (p=0.033). In multivariate analysis, the polyester endograft type emerged as an independent determinant of PWV change after EVAR (R(2)=0.460, p=0.040). Both endograft types increased PWV, while recipients of polyester covered stent-grafts showed greater PWV elevation. Further investigation will clarify the inflammatory response and the differential clinical impact of endograft types.

Fine-needle aspiration (FNA) cytology is an important diagnostic tool in patients with thyroid lesions. Several systems have been proposed for the cyropathologic diagnosis of the thyroid nodules. However cases with indeterminate cytological findings still remain a matter of debate. In this review we analyze all literature regarding Thyroid Cytopathology Reporting systems trying to identify the most suitable methodology to use in clinical practice for the preoperative diagnosis of thyroid nodules. A review of the English literature was conducted, and data were analyzed and summarized and integrated from the authors’ perspective. The main purpose of thyroid FNA is to identify patients with higher risk for malignancy, and to prevent unnecessary surgeries for benign conditions. The Bethesda System for Reporting Thyroid Cytopathology is the most widely used system for the diagnosis of thyroid FNA specimens. This system also contains guidelines for the diagnosis and treatment of indeterminate or suspicious for malignancy cases. In conclusion, patients who require repeated FNAs for indeterminate diagnoses will be resolved by repeat FNA in a percentage of 72%-80%.

Nowadays, there are molecular biology techniques providing information related to cervical cancer and its cause: the human Papillomavirus (HPV), including DNA microarrays identifying HPV subtypes, mRNA techniques such as nucleic acid based amplification or flow cytometry identifying E6/E7 oncogenes, and immunocytochemistry techniques such as overexpression of p16. Each one of these techniques has its own performance, limitations and advantages, thus a combinatorial approach via computational intelligence methods could exploit the benefits of each method and produce more accurate results. In this article we propose a clinical decision support system (CDSS), composed by artificial neural networks, intelligently combining the results of classic and ancillary techniques for diagnostic accuracy improvement. We evaluated this method on 740 cases with complete series of cytological assessment, molecular tests, and colposcopy examination. The CDSS demonstrated high sensitivity (89.4%), high specificity (97.1%), high positive predictive value (89.4%), and high negative predictive value (97.1%), for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+). In comparison to the tests involved in this study and their combinations, the CDSS produced the most balanced results in terms of sensitivity, specificity, PPV, and NPV. The proposed system may reduce the referral rate for colposcopy and guide personalised management and therapeutic interventions.