Hoodherndon3860

93-0.97) and 0.97 (95% confidence interval [CI] 0.95-0.99) in the training, internal and external validation cohort, respectively, which were significantly better than other deep learning models (P less then 0.01) and human observers (P less then 0.001). No significant difference was found when applying DLRT on thyroid US images acquired from different US instruments. CONCLUSIONS DLRT shows the best overall performance comparing with other deep learning models and human observers. It holds great promise for improving the differential diagnosis of benign and malignant thyroid nodules. PURPOSE To determine whether MRI-detected suspicious (BIRADS 4 & 5) breast lesions can be downgraded using second-look ultrasound (SLU) and thus reduce unnecessarily performed breast biopsies. MATERIALS METHODS A retrospective single-center review of consecutive patients, who underwent breast MRI studies during a 12-month time period was performed. 94 patients with 103 lesions undergoing SLU of incidentally detected MRI BI-RADS 4&5 lesions which were not identified on previous ultrasound were included in the study. The SLU detection rate and SLU features of the lesions were assessed. Histology (91/103) or two year follow up (n = 12) were defined as the reference standard for lesion diagnosis. RESULTS 57 (55.3 %) of the 103 lesions were identified on SLU. 17 of the identified lesions were malignant (29.8 %). Lesions detected on ultrasound presented on MRI as masses in 66.7 % (38/57) and non-mass in 33.3 % (19/57). Our findings showed that it is possible to distinguish between malignant and benign lesions with SLU. The results were significant (p less then 0.05) for the following morphological features shape, orientation, margins, architectural distortion, hyperechoic rim/ edema. All lesions classified as SLU BI-RADS 2 in our study were benign and thus, 30 % of all unnecessary biopsies could potentially have been avoided. Including SLU BI-RADS 3 lesions, this rate increased to 60 %, while yielding one (of 17, 5.8 %) false negative result. All three BI-RADS 5 lesions detected by SLU presented as malignant on ultrasound. CONCLUSION SLU can potentially downgrade incidental MRI BIRADS 4 lesions. Selleckchem PIK-90 This may reduce the number of unnecessarily performed biopsies by 30-60 %, thus simplifying patient management. PURPOSE To build and validate a decision tree model using classification and regression tree (CART) analysis to distinguish lipoma and lipoma variants from well-differentiated liposarcoma of the extremities and superficial trunk. METHODS This retrospective study included patients who underwent surgical resection and preoperative contrast-enhanced MR imaging for lipoma, lipoma variants, and well-differentiated liposarcoma in two tertiary referral centers. Six MRI findings (tumor size, anatomical location, tumor depth, shape, enhancement pattern, and presence of intermingled muscle fibers) and two demographic factors (patient age and sex) were assessed to build a classification tree using CART analysis with minimal error cross-validation pruning based on a complexity parameter. RESULTS The model building cohort consisted of 231 patients (186 lipoma and lipoma variants and 45 well-differentiated liposarcoma) from one center, while the validation cohort consisted of 157 patients (136 lipoma and lipoma variants and 21 well-differentiated liposarcoma) from another center. In the CART analysis, the contrast enhancement pattern (no enhancement or thin septal enhancement versus thick septal, nodular, confluent hazy, or solid enhancement) was the first partitioning predictor, followed by a maximal tumor size of 12.75 cm. The tree model allowed distinction of lipoma and lipoma variants from well-differentiated liposarcoma in both the model building cohort (C-statistics, 0.955; sensitivity 80 %, specificity 94.62 %, accuracy 91.77 %) and the external validation cohort (C-statistics, 0.917; sensitivity 66.67 %, specificity 95.59 %, accuracy 91.72 %). CONCLUSION The distinction of lipoma and lipoma variants from well-differentiated liposarcoma can be achieved with the simple classification tree model. Incidence and mortality of thyroid cancer are increasing, thus making mandatory to improve the knowledge of disease etiology. The hypothesis of a role for anthropogenic chemicals is raising wide consideration. A series of occupational studies revealed that job exposures with high risk of chemical contamination were usually more prone to thyroid cancer development. These include shoe manufacture, preserving industry, building activities, pulp/papermaker industry and the wood processing, agricultural activities, and other work categories characterized by contact with chemicals, such as chemists and pharmacists. However, such epidemiological analyses cannot define a causal relationship. Thyroid-disrupting activity has emerged for a broad set of anthropogenic chemicals, with the best evidence being gained for polychlorinated biphenyls, polybrominated diphenyl ethers, dioxins, bisphenols, phthalates, pesticides, and heavy metals. A series of case-control studies, assessing exposure to thyroid-disrupting agents, as measured on biological matrices, have been recently performed providing the following insights a) positive relationship with thyroid cancer was found for phthalates, bisphenols, the heavy metals cadmium, copper, and lead; b) polybrominated diphenyl ethers exposure showed no relationship with thyroid cancer c) controversial results were reported for polychlorinated biphenyls and pesticides. However, such studies cannot demonstrate the causal link with disease occurrence, as exposure is assessed after tumour development. Studies with different methodological approach are therefore required for defining the role of anthropogenic environmental chemicals in thyroid carcinogenesis. Molecular imaging of biologic molecules and cellular processes is increasingly accessible through hyperpolarization of chemically-equivalent stable isotopes, most commonly 13C. However, many molecules are poor candidates for imaging due to their biophysical properties, particularly short spin-lattice relaxation times (T1). The inability to consistently predict the T1 from molecular structure, lack of experimental data for many biologically-relevant molecules and the high cost of developing probes can limit the development of hyperpolarized probes. We describe an in silico pipeline for modeling the estimated T1 of molecules of interest in order to address this deficiency. Applying a hybrid approach that incorporates molecular dynamics as well as quantum mechanics, this pipeline estimated T1 values that closely matched empirically determined values providing proof-of-principle that this approach may be used to facilitate MR probe development. Published by Elsevier Inc.BACKGROUND Malignant pleural mesothelioma (MPM) is an aggressive tumour with poor prognosis. The aim of this study was to identify genetic mutations associated with poor or extended survival in patients who received palliative chemotherapy. METHODS A total of 720 patients diagnosed with MPM between 2005 and 2015 were identified. Overall survival (OS) was longer than 30 months from diagnosis for 27 patients. Twelve of 27 (44%) of the pleural biopsies from long-term survivors were retrieved and matched with 12 biopsies from patients who survived less than 12 months; one biopsy was then excluded for poor DNA quality. RESULTS A total of 11 patients had a mean OS of 5.5 months, whereas 12 patients lived more than 30 months (mean OS 55.8 ± 25). Mutational analysis identified 428 alterations; of which, 148, classified as somatic and functional, were considered further. Among these, 85% were missense variants, 8% were variants causing a stop gain and 6% were splice variants. Loss-of-function mutations in UQCRC1 were significantly associated with reduced survival in patients with MPM (p = 0.027), while a higher frequency of mutations in MXRA5 and RAPGEF6 was registered in long-term survivors. CONCLUSION This is the first study evaluating the relationship between the mutational profile and outcome in patients with MPM after palliative chemotherapy. UQCRC1 codes for cytochrome b-c1 complex subunit 1 which plays a fundamental role in normal mitochondrial functions and in cell metabolism. Recent studies described UQCRC1 deregulation in other cancers. Our results suggest a possible role for mitochondrial metabolism in the biology of mesothelioma. Optical photogrammetry software has been applied to scanning electron microscope images to obtain 3D models and quantitative data on carbon particles and graphite nanoparticles. Image acquisition has been automated by the use of external macro software. Mesh data has been reconstructed from a number of images taken at multiple sample stage tilt angles with a supplementary measurement of TEM grids for method validation. This 3D model has been scaled and processed to obtain values such as the volume, height and surface area of the samples and has been quantitatively compared to 2D measurements. At the extreme spectrum of consciousness during sleep, some patients with rare hypersomnias reported experiencing a specific night 'blackout' when sleeping, i.e., an absence of experiences or recall of them from sleep onset to offset. Thus, we explored through questionnaires the conscious experiences (dreaming experience, mind, self) during the night in 133 patients with idiopathic hypersomnia, 108 patients with narcolepsy, and 128 healthy controls. The night blackout was more frequent in idiopathic hypersomnia than in narcolepsy and control groups. Patients with idiopathic hypersomnia and frequent night amnesia had lower dream recall frequencies, and felt more often sleep as deep and mind as blank during the night. They had a higher proportion of slow wave sleep on their (retrospectively collected) sleep recordings than those without night blackout. This night blackout provides a new model for studying loss of consciousness during sleep, here as a contentless, selfless and timeless feeling upon awakening. PURPOSE Hospital occupancy (HospOcc) pressures often lead to longer intensive care unit (ICU) stay after physician recognition of discharge readiness. We evaluated the relationships between HospOcc, extended ICU stay, and patient outcomes. MATERIALS AND METHODS 7-year retrospective cohort study of 8500 alive discharge encounters from 4 adult ICUs of a tertiary hospital. We estimated associations between i) HospOcc and ICU transfer delay; and ii) ICU transfer delay and hospital mortality. RESULTS Median (IQR) ICU transfer delay was 4.8 h (1.6-11.7), 1.4% (119) suffered in-hospital death, and 4% (341) were readmitted. HospOcc was non-linearly related with ICU transfer delay, with a spline knot at 80% (mean transfer delay 8.8 h [95% CI 8.24, 9.38]). Higher HospOcc level above 80% was associated with longer transfer delays, (mean increase 5.4% per % HospOcc increase; 95% CI, 4.7 to 6.1; P  less then  .001). Longer ICU transfer delay was associated with increasing odds of in-hospital death or ICU readmission (odds ratio 1.01 per hour; 95% CI 1.00 to 1.01; P = .04) but not with ICU readmission alone (OR 1.01 per hour; 95% CI 1.00 to 1.01, P = .14). CONCLUSIONS ICU transfer delay exponentially increased above a threshold hospital occupancy and may be associated with increased hospital mortality.