Chronic inflammation was found to play an important role in the development of cardiovascular risk factors. Recently a case-control study found that lichen planus was associated with dyslipidemia in a large series of patients. However, no data were presented about lipid values, glucose levels, or blood pressure. The objective of this case-control study was to evaluate cardiovascular risk factors included in Adult Treatment Panel III criteria for metabolic syndrome in men and women with lichen planus and in healthy controls. This case-control study included 200 patients, 100 with lichen planus (50 men and 50 women) and 100 controls consecutively admitted to the outpatient clinic in Dermatology departments in Granada, Spain. Analysis of metabolic syndrome parameters revealed a higher significant prevalence of dyslipidemia in patients with lichen planus. No significant differences were observed in glucose levels, abdominal obesity, or blood pressure. Elevated levels of C-reactive protein, erythrocyte sedimentation rate, and fibrinogen were noted in patients with lichen planus. Adjusted odds ratio for dyslipidemia in patients with lichen planus was 2.85 (95% confidence interval, 1.33-5.09; P=.001). Chronic inflammation in patients with lichen planus may explain the association with dyslipidemia. Lipid levels screening in men or women with lichen planus may be useful to detect individuals at risk and start preventive treatment against the development of cardiovascular disease.

Color variations in digital histopathology severely impact the performance of computer-aided diagnosis systems. They are due to differences in the staining process and acquisition system, among other reasons. Blind color deconvolution techniques separate multi-stained images into single stained bands which, once normalized, can be used to eliminate these negative color variations and improve the performance of machine learning tasks. In this work, we decompose the observed RGB image in its hematoxylin and eosin components. We apply Bayesian modeling and inference based on the use of Super Gaussian sparse priors for each stain together with prior closeness to a given reference color-vector matrix. The hematoxylin and eosin components are then used for image normalization and classification of histological images. The proposed framework is tested on stain separation, image normalization, and cancer classification problems. The results are measured using the peak signal to noise ratio, normalized median intensity and the area under ROC curve on five different databases. The obtained results show the superiority of our approach to current state-of-the-art blind color deconvolution techniques. In particular, the fidelity to the tissue improves 1,27 dB in mean PSNR. The normalized median intensity shows a good normalization quality of the proposed approach on the tested datasets. Finally, in cancer classification experiments the area under the ROC curve improves from 0.9491 to 0.9656 and from 0.9279 to 0.9541 on Camelyon-16 and Camelyon-17, respectively, when the original and processed images are used. Furthermore, these figures of merits are better than those obtained by the methods compared with. The proposed framework for blind color deconvolution, normalization and classification of images guarantees fidelity to the tissue structure and can be used both for normalization and classification. In addition, color deconvolution enables the use of the optical density space for classification, which improves the classification performance.

HPV Direct Flow CHIP is a newly developed test for identifying 18 high-risk and 18 low-risk human papillomavirus (HPV) genotypes. It is based on direct PCR from crude-cell extracts, automatic flow-through hybridization, and colorimetric detection. The aim of this study was to evaluate the performance of HPV Direct Flow CHIP in the analysis of 947 samples from routine cervical screening or the follow-up of abnormal Pap smears. The specimens were dry swab samples, liquid-based cytology samples, or formalin-fixed paraffin-embedded tissues. The genotype distribution was in agreement with known epidemiological data for the Spanish population. Three different subgroups of the samples were also tested by Linear Array (LA) HPV Genotyping Test (n = 108), CLART HPV2 (n = 82), or Digene Hybrid Capture 2 (HC2) HPV DNA Test (n = 101). HPV positivity was 73.6% by HPV Direct Flow CHIP versus 67% by LA, 65.9% by HPV Direct Flow CHIP versus 59.8% by CLART, and 62.4% by HPV Direct Flow CHIP versus 42.6% by HC2. HPV Direct Flow CHIP showed a positive agreement of 88.6% with LA (k = 0.798), 87.3% with CLART (k = 0.818), and 68.2% with HC2 (k = 0.618). In conclusion, HPV Direct Flow CHIP results were comparable with those of the other methods tested. Although further investigation is needed to compare the performance of this new test with a gold-standard reference method, these preliminary findings evidence the potential value of HPV Direct Flow CHIP in HPV vaccinology and epidemiology studies.

Myositis ossificans circumscripta is a form of heterotopic ossification that is benign in nature associated to a trauma, but may appear clinically and radiologically as a malignant neoplasm. We describe a rare case of calcifying of myositis ossificans not associated to trauma in a 35-year-old woman with a mass in her upper third and external of right thigh. We discuss some of the difficulties of diagnosis and histological evolution of the lesion. Myositis ossificans; Thigh; Differential diagnosis; Nontraumatic.

Author(s): Aneiros-Fernandez, J; Husein-ElAhmed, H; Arias-Santiago, S; Escobar Gómez-Villalva, F; Nicolae, Alina; O’Valle Ravassa, F; Aneiros-Cachaza, J