Real-time prediction of breast lesions displacement during Ultrasound scanning using a position-based dynamics approach.

Although ultrasound (US) images represent the most popular modality for guiding breast biopsy, they are sometimes unable to render malignant regions, thus preventing accurate lesion localization which is essential for a successful procedure. Biomechanical models can support the localization of suspicious areas identified on a pre-operative image during US scanning since they are able to account for anatomical deformations resulting from US probe pressure. We propose a deformation model which relies on position-based dynamics (PBD) approach to predict the displacement of internal targets induced by probe interaction during US acquisition. The PBD implementation available in NVIDIA FleX is exploited to create an anatomical model capable of deforming in real-time. In order to account for each patient\u2019s specificities, model parameters are selected as those minimizing the localization error of a US-visible landmark of the anatomy of interest (in our case, a realistic breast phantom). The updated model is used to estimate the displacement of other internal lesions due to probe-tissue interaction. The proposed approach is compared to a finite element model (FEM), generally used in breast biomechanics, and a rigid one. Localization error obtained when applying the PBD model remains below 11 mm for all the tumors even for input displacements in the order of 30 mm. The proposed method obtains results aligned with FE models with faster computational performance, suitable for real-time applications. In addition, it outperforms rigid model used to track lesion position in US-guided breast biopsies, at least halving the localization error for all the displacement ranges considered. Position-based dynamics approach has proved to be successful in modeling breast tissue deformations during US acquisition. Its stability, accuracy and real-time performance make such model suitable for tracking lesions displacement during US-guided breast biopsy

A position-based framework for the prediction of probe-induced lesion displacement in Ultrasound-guided breast biopsy

Although ultrasound (US) images represent the most popular modality for guiding breast biopsy, they are sometimes unable to render malignant regions, thus preventing accurate lesion localization which is essential for a successful procedure. Biomechanical models can support the localization of suspicious areas identified on a pre-operative image during US scanning since they are able to account for anatomical deformations resulting from US probe pressure. We propose a deformation model which relies on position-based dynamics (PBD) approach to predict the displacement of internal targets induced by probe interaction during US acquisition. The PBD implementation available in NVIDIA FleX is exploited to create an anatomical model capable of deforming online. Simulation parameters are initialized on a calibration phantom under different levels of probe-induced deformations, then they are fine-tuned by minimizing the localization error of a US-visible landmark of a realistic breast phantom. The updated model is used to estimate the displacement of other internal lesions due to probe-tissue interaction. The localization error obtained when applying the PBD model remains below 11 mm for all the tumors even for input displacements in the order of 30 mm. This approach outperforms rigid model used to track lesion position in US-guided breast biopsies, at least halving the localization error for all the displacement ranges considered. Position-based dynamics approach has proved to be successful in modeling breast tissue deformations during US acquisition. Its stability, accuracy and real-time performance make such model suitable for tracking lesions displacement during US-guided breast biopsy

Position-based simulation of deformations for autonomous robotic ultrasound scanning

Realistic and fast simulation of anatomical deformations due to ultrasound probe pressure is of outstanding importance for testing and validation of autonomous robotic ultrasound systems. We propose a deformation model which relies on the position-based dynamics (PBD) approach to simulate the probetissue interaction and predict the displacement of internal targets during US acquisition. Performances of the patient-specific PBD anatomical model are evaluated in comparison to two different simulations relying on the traditional finite element (FE) method, in the context of breast ultrasound scanning. Localization error obtained when applying the PBD model remains below 11 mm for all the tumors even for input displacements in the order of 30 mm. The proposed method is able to achieve a better trade-off among accuracy, computation time and generalization capabilities with respect to the two FE models. Position-based dynamics approach has proved to be successful in modeling breast tissue deformations during US acquisition. It represents a valid alternative to classical FE methods for simulating the interaction between US probe and tissues

Eficiência do uso de um simbiótico comercial na qualidade do leite de vacas holandesas no Bioma Cerrado.

Avaliou-se o efeito de um produto simbiótico na produção e na qualidade do leite produzido por vacas Holandesas no Bioma Cerrado. O experimento foi realizado entre janeiro e maio de 2010 na fazenda Cachoeira, no município de Nova Veneza ? GO. Foram utilizadas 37 vacas da raça Holandesa, sendo 19 animais no grupo testemunha e 18 animais no grupo tratamento. O grupo tratamento recebeu dois gramas por dia de um produto simbiótico comercial (Biofórmula Leite; Biofórmula, Goiânia-GO), enquanto que ao grupo testemunha era submetido a uma dieta normal sem simbiótico. A contagem de células somáticas manteve-se estável, em torno de 200.000/mL, durante as primeiras oito semanas do experimento. Durante as semanas 10-12 e 14-16, entretanto, a CCS aumentou expressivamente no leite das vacas do grupo Testemunha. Este aumento não ocorreu nas vacas tratadas com Biofórmula Leite, dessa forma, a CCS foi significativamente reduzida nas vacas que receberam o simbiótico. A suplementação com o simbiótico melhorou a qualidade do leite, com uma redução de 57% na contagem de células somáticas. O simbiótico exerceu um efeito protetor contra a infecção e/ou inflamação da glândula mamária

Genome-wide association study provides insights into genes related with horn development in Nelore beef cattle.

Abstract The causal mutation for polledness in Nelore (Bos taurus indicus) breed seems to have appeared first in Brazil in 1957. The expression of the polled trait is known to be ruled by a few groups of alleles in taurine breeds; however, the genetic basis of this trait in indicine cattle is still unclear. The aim of this study was to identify genomic regions associated with the hornless trait in a commercial Nelore population. A total of 107,294 animals had phenotypes recorded and 2,238 were genotyped/imputed for 777k SNP. The weighted single-step approach for genome-wide association study (WssGWAS) was used to estimate the SNP effects and variances accounted for by 1 Mb sliding SNP windows. A centromeric region of chromosome 1 with 3.11 Mb size (BTA1: 878,631?3,987,104 bp) was found to be associated with hornless in the studied population. A total of 28 protein-coding genes are mapped in this region, including the taurine Polled locus and the IFNAR1, IFNAR2, IFNGR2, KRTAP11-1, MIS18A, OLIG1, OLIG2, and SOD1 genes, which expression can be related to the horn formation as described in literature. The functional enrichment analysis by DAVID tool revealed cytokine-cytokine receptor interaction, JAK-STAT signaling, natural killer cell mediated cytotoxicity, and osteoclast differentiation pathways as significant (P < 0.05). In addition, a runs of homozygosity (ROH) analysis identified a ROH island in polled animals with 2.47 Mb inside the region identified by WssGWAS. Polledness in Nelore cattle is associated with one region in the genome with 3.1 Mb size in chromosome 1. Several genes are harbored in this region, and they may act together in the determination of the polled/horned phenotype. Fine mapping the locus responsible for polled trait in Nelore breed and the identification of the molecular mechanisms regulating the horn growth deserve further investigation

Avaliação do componente genético na expressão fenotípica de características produtivas de bovinos nelore submetidos à prova de desempenho.

Objetivou-se avaliar o efeito do componente genético na expressão fenotípica de características produtivas de bovinos da raça Nelore submetidos à prova de desempenho individual. Os dados utilizados foram provenientes de 51 touros jovens participantes da Prova de Desempenho Individual de Touros Nelore realizada na fazenda experimental Capim Branco da Universidade Federal de Uberlândia. As características avaliadas foram peso e perímetro escrotal padronizado aos 365 e aos 450 dias de idade, área de olho de lombo e acabamento de carcaça. Com o intuito de avaliar a contribuição do componente genético no desempenho produtivo dos animais foram consideradas as predições das diferenças esperadas na progênie dos animais e dos touros (pais dos animais). Para verificar os efeitos dos grupos genéticos sobre o desempenho produtivo foram realizadas análises de variância por meio do procedimento General Linear Model do aplicativo Statistical Analysis System. Verificou-se que os filhos de touros com maior potencial genético tendem a apresentar melhor desempenho produtivo. Concluiu-se que o uso de animais geneticamente superiores permite a obtenção de melhores índices zootécnicos refletindo em maiores ganhos em produtividade do rebanho

Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.

Abstract Background The aim of this study was to assess genome-wide autozygosity in a Nellore cattle population and to characterize ROH patterns and autozygosity islands that may have occurred due to selection within its lineages. It attempts also to compare estimates of inbreeding calculated from ROH (FROH), genomic relationship matrix (FGRM), and pedigree-based coefficient (FPED). Results The average number of ROH per animal was 55.15&#8201;±&#8201;13.01 with an average size of 3.24 Mb. The Nellore genome is composed mostly by a high number of shorter segments accounting for 78% of all ROH, although the proportion of the genome covered by them was relatively small. The genome autozygosity proportion indicates moderate to high inbreeding levels for classical standards, with an average value of 7.15% (178.70 Mb). The average of FPED and FROH, and their correlations (&#8722;&#8201;0.05 to 0.26) were low. Estimates of correlation between FGRM-FPED was zero, while the correlation (&#8722;&#8201;0.01 to &#8722;&#8201;0.07) between FGRM-FROH decreased as a function of ROH length, except for FROH&#8201;>&#8201;8Mb (&#8722;&#8201;0.03). Overall, inbreeding coefficients were not high for the genotyped animals. Autozygosity islands were evident across the genome (n&#8201;=&#8201;62) and their genomic location did not largely differ within lineages. Enriched terms (p&#8201;<&#8201;0.01) associated with defense response to bacteria (GO:0042742), immune complex reaction (GO:0045647), pregnancy-associated glycoproteins genes (GO:0030163), and organism growth (GO:0040014) were described within the autozygotic islands. Conclusions Low FPED-FROH correlation estimates indicate that FPED is not the most suitable method for capturing ancient inbreeding when the pedigree does not extend back many generations and FROH should be used instead. Enriched terms (p <&#8201;0.01) suggest a strong selection for immune response. Non-overlapping islands within the lineages greatly explain the mechanism underlying selection for functionally important traits in Nellore cattle

Evolução genética para características de carcaça em bovinos Nelore sob seleção para maciez da carne.

Objetivou-se com este trabalho avaliar as tendências genéticas para características de carcaça e conformação frigorifica em bovinos Nelore submetidos à seleção genética para maciez da carne (WBSF)