Autoantibodies against complement C1q correlate with the thyroid function in patients with autoimmune thyroid disease.

Autoantibodies against complement C1q (anti-C1q) have been well described in patients with systemic lupus erythematosus, where they correlate with the occurrence of severe lupus nephritis. However, data on anti-C1q in organ-specific autoimmune diseases are scarce. In order to determine the prevalence of anti-C1q in patients with autoimmune thyroid disorders (AITD) and a possible association with thyroid function, we measured prospectively anti-C1q in 23 patients with Graves' disease (GD) and 52 patients with Hashimoto's thyroiditis (HT). Anti-C1q levels were correlated with parameters of thyroid function and autoantibodies against thyroperoxidase, thyroglobulin and thyroid stimulating hormone (TSH) receptor. Twenty-one patients with multi-nodular goitre and 72 normal blood donors served as controls. We found elevated concentrations of anti-C1q more frequently in patients with AITD than in controls: seven of 23 (30%) patients with GD and 11 of 52 (21%) patients with HT, compared with one of 21 (5%) patients with multi-nodular goitre and six of 72 (8%) normal controls. Anti-C1q levels did not correlate with thyroid autoantibodies. However, in GD absolute levels of anti-C1q correlated negatively with TSH and positively with free thyroxine (FT4) and triiodothyronine (FT3). In contrast, in HT, anti-C1q correlated positively with TSH levels. No correlation between TSH and thyroid autoantibodies was found. In conclusion, we found an increased prevalence of anti-C1q in patients with AITD and their levels correlated with the thyroid function in both GD and HT. This correlation seems to be independent of thyroid autoantibodies. Therefore, anti-C1q might point to a pathogenic mechanism involved in the development of AITD that is independent of classical thyroid autoantibodies.

Quality measurement of lossy compression in medical imaging.

At the time when most of image data in hospitals are stored in digital form using picture archiving and communication systems (PACS), telemedicine goes through its boom, and demand for data storage and bandwidth requirements increases, lossy compression techniques become necessity. This review article summarizes different methods for quality measurement of image compression in radiology. After brief compression techniques description, technical and medical measurements (including Receiver Operating Characteristic Curves) of image compression are described. Employing of these methods in practice and their results are shown on sample studies. The article concludes with basic recommendations for experimental protocols when performing quality measurement of medical images.

Serum levels of antibodies to thyroid peroxidase correlate with quantitative descriptors of thyroid ultrasound images in patients with breast cancer.

The aim of the study was to compare the structural changes in ultrasound image of the thyroid tissue in 12 women with breast cancer (BC) and 8 women with colorectal cancer (CC). MATLAB software was used to analyse the digitised images. As quantitative descriptors of thyroid ultrasound images (QDTI) were used raw grey scale values of individual image pixels (RAW) and the optimal one-dimensional discriminative texture features (F2, F6, F7). The possible relations between QDTI and thyroid laboratory parameters were tested. In the BC group serum levels of antibodies to thyroid peroxidase negatively correlated with feature RAW (multiple regression, beta coefficient -0.75, p=0.004) and positively with feature F2 (multiple regression, beta coefficient 1.44, p=0.04). In the BC group RAW negatively correlated with serum levels of tumour marker CA 15-3 (Pearson's correlation coefficient, r=-0.714, p=0.00917). No such correlations were found in CC group. The correlations between QDTI and serum levels of antibodies to thyroid peroxidase in patients with BC show that the positivity of antibodies to thyroid peroxidase is probably accompanied with structural changes in the thyroid tissue.

Autoimmune thyroid diseases in women with breast cancer and colorectal cancer.

The aim of the study was to compare the prevalence of autoimmune thyroid diseases in three groups of women (66 with breast cancer (CaB), 68 with colorectal cancer (CaC) and 49 without oncological diseases as a control group). Serum levels of thyroid-stimulating hormone (TSH), free thyroxin (fT4), antibodies to thyroglobulin (TGB-ab) and thyroperoxidase (TPO-ab) and tumor markers CEA, CA 15-3 and CA 19-9 were investigated in all subjects by using the chemiluminiscence method. In contrast to Graves' disease (no observed case), autoimmune thyroiditis was diagnosed in 24.2 % women with CaB (4.5 % euthyroid and 19.7 % with subclinical or overt hypothyroidism), compared to 16.7 % in women with CaC (2.0 % euthyroid and 14.7 % with subclinical or overt hypothyroidism) and 16.2 % controls (4.0 % euthyroid and 12.2 % with subclinical or overt hypothyroidism). Serum levels of TGB-ab were higher in the group with breast cancer as compared to those with colorectal cancer and the control group (medians: 35.80 vs. 31.75 vs. 27.70, p<0.001). Similarly, the percentage of positive TGB-ab and TPO-ab serum levels was higher in women with breast cancer as compared to those with colorectal cancer and the control group. The results of the study support the controversial theory that there is an increased prevalence of autoimmune thyroiditis in women with breast cancer.

Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images.

We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with non-parametric landmark probability distributions and a probabilistic atlas. The statistical atlas was built from 25 healthy subjects. The shape model was evaluated by applying it to image segmentation. The probabilistic atlas was found to be superior to the other shape models (P < 0.001) in this study.

[Texture analysis of ultrasonograms--a new method in the diagnosis of thyroid diseases?]. / Analýza textury ultrasonogramu--nová kvalita v diagnostice tyreopatií?

Ultrasonography is a generally accepted method for diagnosing both the diffuse and focal (nodal) lesions of the thyroid gland. The main limit of this method is the restricted ability of the human eye to analyse all information included. Moreover, the proportion of subjectivity when evaluating the picture is greater than with other imaging methods. Computer texture analysis in combination with automatic classification may prove a potent tool that could enable--immediately after the standard examination--to assign the finding to a particular type of diffuse disorder, with an accuracy of up to 100 percent. From a variety of procedures, which we have tested until now, the best results were obtained with a combination of spatial, co-occurrence and systematically constructed features, selected by a method that is based on the magnitude of classification error. From several tested ways of classification the Bayes's classificator in combination with the criterion of majority was found to be the best approach.