Advances in diagnostic and interventional radiology

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Genetic variability in a Holstein population using SNP markers and their use for monitoring mating strategies

As genotyping costs continue to decrease, the demand for genotyping has increased among farmers. In most livestock herds, an important issue is controlling the increase in inbreeding coefficient. While this remains a large motive to genotype, producers are often unaware of the other benefits that genotyping could bring. The aim of this study was to demonstrate that SNP chips could be used as an effective herd management tool by utilizing a population of Italian Holstein-Friesian cattle. After filtering, the total number of animals and SNPs retained for analyses were 44 and 27,365, respectively. The principal component analyses (PCA) were able to identify a sire and origin-of-sire effect within the herd, while determining that sires do not influence individual genomic selection index values. The inbreeding coefficients calculated from genotypes (FIS) provided a glimpse into the herd\u2019s heterozygosity and determined that the genetic variability is being well maintained. On the other hand, inbreeding coefficients on the genomic level were deduced from runs of homozygosity (FROH) and were compared to the inbreeding coefficients based on pedigree (FPED). Furthermore, 1,950 runs of homozygosity (ROH) were identified with the average length of ROH being 4.66 Mb. Genes and QTL within the genomic regions most commonly associated (top 1% and top 5% of SNP) with ROH were characterized. These results indicate that genotyping small herds, albeit at low-density, provides insights to the genetic variability within the herd and thus allows producers the ability to manage their stock from a genetic standpoint

Clinical Application of Ultra-High-Frequency Ultrasound

Musculoskeletal ultrasound involves the study of many superficial targets, especially in the hands, wrists, and feet. Many of these areas are within the first 3 cm of the skin surface and are ideal targets for ultra-high-frequency ultrasound. The high spatial resolution and the superb image quality achievable allow foreseeing a wider use of this novel technique, which has the potential to bring innovation to diagnostic imaging

Imaging of metabolic bone disease

Osteoporosis is the most important metabolic bone disease, with a wide distribution among the elderly. It is characterized by low bone mass and micro architectural deterioration of bone tissue, leading to enhanced bone fragility and a consequent increase in fracture risk. Identify bone weakening with an appropriate and accurate use of diagnostic imaging is of critical importance in the diagnosis and follow-up of osteoporotic patients. The aim of this review is to evaluate the detection rates of the different imaging modalities in the evaluation of bone strength, in the assessment of fracture risk and in the management of fragility fractures

Imaging of long head biceps tendon : a multimodality pictorial essay

The aim of this article is to provide an imaging review of normal anatomy, most common anatomical variants and pathologies of the long head of the biceps tendon (LHB) encountered during the daily practice. (www.actabiomedica.it)

Genetic and chemical comparison among Camelina sativa varieties

Camelina sativa (Camelina sativa L. Crantz.) belonging to the mustard family, typically contain about 40 % oil in the seeds, 90 % of which is made up of unsaturated fatty acids: about 30\u201340% fraction of alpha linolenic acid, 15\u201325% fraction of linoleic acid, 15% fraction of oleic acid and around 15% eicosenoic acid. Genetic studies of the genome of C. sativa suggest a polyploid structure being more probably a hexaploid species. In European countries and Russia, camelina was grown as an agricultural crop before the II World War; now the renewed interest on this crop is mainly due to the search for new sources of essential fatty acids, particularly n-3(omega-3) fatty acids to be used in human food and animal feed products. In this work we compared different varieties of camelina grown in different conditions: in experimental field, greenhouse and grow chamber. We characterized the genetic material by SSRs to assess the genetic diversity to assist future breeding programs. In particular we have set up a breeding program aimed at reducing the glucosinolate content in camelina seed because of its toxic effect when present at high levels in seeds used as feed. Glucosinolate are sulphur-containing glucosides, found mainly in Brassicaceae, involved in plant defense. In the last year these molecules have been studied also because of their activities as natural pesticides and their protective effects against cancer, heart disease and chronic inflammatory disease. We are now characterizing camelina seeds for glucosinolate content in order to develop a diagnostic marker based on the analytical determination of the sulfur isotopic signature (\uf06434S). Such a marker will allow to easily select genetic materials with different glucosinolate contents without the use of complex and expensive analytical techniques

Structured reporting of computed tomography in the staging of colon cancer: a Delphi consensus proposal

Background: Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports in colon cancer during the staging phase in order to improve communication between the radiologist, members of multidisciplinary teams and patients. Materials and methods: A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. Cronbach’s alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation. Results: The final SR version was built by including n = 18 items in the “Patient Clinical Data” section, n = 7 items in the “Clinical Evaluation” section, n = 9 items in the “Imaging Protocol” section and n = 29 items in the “Report” section. Overall, 63 items were included in the final version of the SR. Both in the first and second round, all sections received a higher than good rating: a mean value of 4.6 and range 3.6–4.9 in the first round; a mean value of 5.0 and range 4.9–5 in the second round. In the first round, Cronbach’s alpha (Cα) correlation coefficient was a questionable 0.61. In the first round, the overall mean score of the experts and the sum of scores for the structured report were 4.6 (range 1–5) and 1111 (mean value 74.07, STD 4.85), respectively. In the second round, Cronbach’s alpha (Cα) correlation coefficient was an acceptable 0.70. In the second round, the overall mean score of the experts and the sum of score for structured report were 4.9 (range 4–5) and 1108 (mean value 79.14, STD 1.83), respectively. The overall mean score obtained by the experts in the second round was higher than the overall mean score of the first round, with a lower standard deviation value to underline greater agreement among the experts for the structured report reached in this round. Conclusions: A wide implementation of SR is of critical importance in order to offer referring physicians and patients optimum quality of service and to provide researchers with the best quality data in the context of big data exploitation of available clinical data. Implementation is a complex procedure, requiring mature technology to successfully address the multiple challenges of user-friendliness, organization and interoperability