147 research outputs found

    Costruzione di uno scaffold vascolarizzato per la chirurgia ortopedica

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    Specific aims The aim is to improve the treatment of the bone losses at the metacarpal bones level (both diaphysis and epiphysis) combining microsurgery, tissue engineering and biomaterials, so to minimize the donor side morbidity and optimize healing and outcomes. Methods Pre-operative controlateral X-ray or 3-D CT to allow custom-made HA scaffolds. Cement as temporary spacer in acute lesion and monitoring of infective risks. Treatment of the bone loss recurring to pre-fabricated or custom-made HA scaffolds, adding platelet gel or growth factor OP1. Stable synthesis. Control group with auto/omografts. Outcome indices: % of bone-union; finger TAM, Kapandji, DASH score; NMR and Scintigraphy at 180 days for revascularisation and bio-substitution of the scaffold. Preliminary results The authors just treated 6 patients, 4 males and 2 females, with an average age of 38.5 yrs, affected by segmental bone losses at the hand and wrist, recurring to pre-fabricated not vascularised scaffolds. In all cases the synthesis was performed with angular stability plates and a stable synthesis achieved. All patients have been controlled at a mean follow-up of 10.5 months (from 2 to 16 ). In all case but one the bone-scaffold osteo-integration was achieved at an average of 38 days at the hand, and 46 days at the wrist. The outcome studies, according to the DASH score, finger TAM, and Kapandji, were good and excellent in 5 cases, poor in one

    Is wear debris responsible for failure in alumina-on-alumina implants?: Clinical, histological, and laboratory investigations of 30 revision cases with a median follow-up time of 8 years

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    Background and purpose Ceramic-on-ceramic articulation is an attractive alternative to metal-on-polyethylene (PE) bearings, but little is known about the in vivo effects induced by dissemination of alumina wear debris in the periprosthetic tissues. We hypothesized that wear debris is not the main factor responsible for loosening and failure of the implant but that mechanical problems caused by incorrect surgical technique, prosthetic design, or trauma, may cause instability of the implants and result in production of wear debris

    Optimization of an analytical method based on SPME-Arrow and chemometrics for the characterization of the aroma profile of commercial bread

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    A SPME-Arrow GC-MS approach, coupled with chemometrics, was used to thoroughly investigate the impact of different types of yeast (sourdough, bear's yeast and a mixture of both) and their respective leaving time (one, three and five hours) on VOCs of commercial bread samples. This aspect is of paramount importance for the baking industry to adjust recipe modifications and production parameters, as well as to meet consumer needs in formulating new products. A deep learning approach, PARADISe (PARAFAC2-based deconvolution and identification system), was used to analyse the obtained chromatograms in an untargeted manner. In particular, PARADISe, was able to perform a fast deconvolution of the chromatographic peaks directly from raw chromatographic data to allow a putatively identification of 66 volatile organic compounds, including alcohols, esters, carboxylic acids, ketones, aldehydes. Finally, Principal Component Analysis, applied on the areas of the resolved compounds, showed that bread samples differentiate according to their recipe and highlighted the most relevant volatile compounds responsible for the observed differences

    Anti-drug antibody detection with label-free electrolyte-gated organic field-effect transistors

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    The efficacy of immunotherapy can be undermined by the development of an immune response against a drug/antibody mediated by anti-drug antibodies (ADAs) in treated patients. We present the first label-free EGOFET immunosensor that integrates a biological drug, Nivolumab (Opdivo©), as a specific recognition moiety to quantitatively and selectively detect ADAs against the drug. The limit of detection is 100 fM. This demonstration is a prelude to the detection of ADAs in a clinical setting in the treatment of different pathologies, and it also enables rapid screening of biological drugs for immunogenicity

    Centroiding technique using machine learning algorithm for space optical navigation

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    Near-Earth-Objects pose a major threat to our planet with potential impacts. Together with the National Aeronautics and Space Administration (NASA), the European Space Agency (ESA) launched the Asteroid Impact Deflection Assessment (AIDA) international collaboration to demonstrate the deflection of the trajectory of binary asteroid system (65803) Didymos with kinetic impact. ESA’s HERA mission will arrive at Didymos in 2026 to observe closely NASA’s DART impact effects . This paper focuses on the Early Characterization Phase (ECP) and the Detailed Characterization Phase (DCP) of the proximity operations of HERA. The objective of these phases is to achieve physical and dynamical characterizations of Didymos. The optical navigation is applied to determine the relative state of the spacecraft with respect to the asteroid by detecting its Centre of Mass (COM). This can be achieved by the centroiding technique with the images captured by the spacecraft on-board camera and the Image Processing (IP) algorithm. Nevertheless, the standard IP algorithms depend thoroughly on the visibility of the target in the images, and they lack of robustness in case of adverse illumination conditions or if the target is partially out of the camera frame. To address these insufficiencies, this paper develops a model of IP based on the High-Resolution Network (HRNet) Machine Learning algorithm. With its convolutional layers, the HRNet is capable of extracting specific information from images without dependency on the quality of the image itself. Furthermore, the HRNet is capable of preserving the high-resolution of the image with superior spatial precision, which is desirable for estimating specific features such as the center of an asteroid. The training, validation and testing datasets are generated using the software Planet and Asteroid Natural scene Generation Utility (PANGU). The performances of the HRNet-based IP algorithm are evaluated in terms of Root Mean Squared Error (RMSE) between the pixel coordinates of the estimated and the true centroid of Didymos. The results shows that the HRNet-based IP algorithm is capable of regressing the position of the centroid with high accuracy and without being affected by the illumination conditions or if the asteroid is partially out of the camera frame

    Immunohistochemical evaluation of bone metastases

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      Introduction. Metastases are the most common type of malignancy involving the bone, while bone is the third most frequent site for metastases, after the lung and liver. In some patients, medical history, physical and laboratory exami­nation are not conclusive to identify the primary tumor site. In such cases a bone biopsy and immunohistochemical analysis may contribute to the diagnosis, determination of appropriate treatment and evaluation of prognosis. In this study, we tried to evaluate the imunochistochemical expression in bone metastases. Material and methods. We reviewed 125 patients, with a mean age of 63 years, treated for bone metastases in our institution. All patients received palliative orthopaedic surgery for bone metastatic carcinoma. Fifty-eight patients had already an established diagnosis of the primary tumor, while 67 patients presented metastases with an unknown primary tumor origin. Immunohistochemical analysis was performed to intra-operative bone biopsy specimens. The expression of cytokeratine 7, cytokeratin 20 and the expression of a panel of other organ-specific markers were re­corded. In patients with a known primary tumor, we examined the relationship between the origin of metastases, as suggested by the cytokeratin phenotype, compared with the one indicated by the initial histological diagnosis. We also recorded the efficacy of organ-specific markers to identify the primary tumor origin in epithelial bone metastases and we evaluated the prognosis between patients with a immunohistologically determined primary tumor origin, with those with an undetermined one. Results. Associations of cytokeratine 7 and cytokeratine 20 expression confirmed diagnosis in 51 out of the 58 patients (88%) with a known primary tumor (Cohen’s K test 0.79 SE 0.80, P < 0.0005). Immunohistochemical analysis also contributed to establish the diagnosis of patients with an unknown primary tumor, yielding diagnosis in 35 out of the 67 cases (52%). Patients with an immunochistologically undetermined primary tumor site presented a statisti­cally significant poorer prognosis. Conclusions. Cytokeratine 7 and cytokeratine20 are useful immunochistochemical markers in determining a pre­liminary evaluation of bone metastases. Organ-specific immunohistochemical markers have a reliable role in either suggesting or confirming the possible origin of metastases. An indeterminate immunohistochemical phenotype seems to relate to a less differentiated lesion, with a worse prognosis

    Immunohistochemical evaluation of bone metastases

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      Introduction. Metastases are the most common type of malignancy involving the bone, while bone is the third most frequent site for metastases, after the lung and liver. In some patients, previous medical history, physical and laboratory examination are not conclusive to identify the primary tumor site. In such cases a bone biopsy and im­munohistochemical analysis may contribute to the diagnosis, determination of appropriate treatment and evaluation of prognosis. In this study, we tried to evaluate the imunochistochemical expression in bone metastases. Material and methods. We reviewed 125 patients, with a mean age of 63 years, treated for bone metastases in our institution. All patients received palliative orthopaedic surgery for bone metastatic carcinoma. Fifty-eight patients had already an established diagnosis of the primary tumor, while 67 patients presented metastases with an unknown primary tumor origin. Immunohistochemical analysis was performed to intra-operative bone biopsy specimens. The expression of cytokeratine 7, cytokeratin 20 and the expression of a panel of other organ-specific markers were re­corded. In patients with a known primary tumor, we examined the relationship between the origin of metastases, as suggested by the cytokeratin phenotype, compared with the one indicated by the initial histological diagnosis. We also recorded the efficacy of organ-specific markers to identify the primary tumor origin in epithelial bone metastases and we evaluated the prognosis between patients with a immunohistologically determined primary tumor origin, with those with an undetermined one. Results. Associations of cytokeratine 7 and cytokeratine 20 expression confirmed diagnosis in 51 out of the 58 patients (88%) with a known primary tumor (Cohen’s K test 0.79 SE 0.80, P < 0.0005). Immunohistochemical analysis also contributed to establish the diagnosis of patients with an unknown primary tumor, yielding diagnosis in 35 out of the 67 cases (52%). Patients with an immunochistologically undetermined primary tumor site presented a statisti­cally significant poorer prognosis. Conclusions. Cytokeratine 7 and cytokeratine20 are useful immunochistochemical markers in determining a pre­liminary evaluation of bone metastases. Organ-specific immunohistochemical markers have a reliable role in either suggesting or confirming the possible origin of metastases. An indeterminate immunohistochemical phenotype seems to relate to a less differentiated lesion, with a worse prognosis. Introduction. Metastases are the most common type of malignancy involving the bone, while bone is the third most frequent site for metastases, after the lung and liver. In some patients, previous medical history, physical and laboratory examination are not conclusive to identify the primary tumor site. In such cases a bone biopsy and im­munohistochemical analysis may contribute to the diagnosis, determination of appropriate treatment and evaluation of prognosis. In this study, we tried to evaluate the imunochistochemical expression in bone metastases. Material and methods. We reviewed 125 patients, with a mean age of 63 years, treated for bone metastases in our institution. All patients received palliative orthopaedic surgery for bone metastatic carcinoma. Fifty-eight patients had already an established diagnosis of the primary tumor, while 67 patients presented metastases with an unknown primary tumor origin. Immunohistochemical analysis was performed to intra-operative bone biopsy specimens. The expression of cytokeratine 7, cytokeratin 20 and the expression of a panel of other organ-specific markers were re­corded. In patients with a known primary tumor, we examined the relationship between the origin of metastases, as suggested by the cytokeratin phenotype, compared with the one indicated by the initial histological diagnosis. We also recorded the efficacy of organ-specific markers to identify the primary tumor origin in epithelial bone metastases and we evaluated the prognosis between patients with a immunohistologically determined primary tumor origin, with those with an undetermined one. Results. Associations of cytokeratine 7 and cytokeratine 20 expression confirmed diagnosis in 51 out of the 58 patients (88%) with a known primary tumor (Cohen’s K test 0.79 SE 0.80, P < 0.0005). Immunohistochemical analysis also contributed to establish the diagnosis of patients with an unknown primary tumor, yielding diagnosis in 35 out of the 67 cases (52%). Patients with an immunochistologically undetermined primary tumor site presented a statisti­cally significant poorer prognosis. Conclusions. Cytokeratine 7 and cytokeratine20 are useful immunochistochemical markers in determining a pre­liminary evaluation of bone metastases. Organ-specific immunohistochemical markers have a reliable role in either suggesting or confirming the possible origin of metastases. An indeterminate immunohistochemical phenotype seems to relate to a less differentiated lesion, with a worse prognosis

    Experimental assessment and predictive model of the performance of Ti-based nanofluids

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    The need for innovative propulsion technologies (e.g., fuel cells) in the mobility sector is posing a higher-than-ever burden on thermal management. When low operative temperature shall be ensured, dissipation of a significant amount of heat is requested, together with limited temperature variation of the coolant; mobile applications also yield limitations in terms of space available for cooling subsystems. Nanofluids have recently become one of the most promising solutions to replace conventional coolants. However, the prediction of their effectiveness in terms of heat-transfer enhancement and required pumping power still appears a challenge, being limited by the lack of a general methodology that assesses them simultaneously in various flow regimes. To this end, an experiment was developed to compare a conventional coolant (ethylene glycol/water) and a TiO2-based nanofluid (1% particle loading), focusing on heat transfer and pressure loss. The experimental dataset was used as an input for a physical model based on two independent figures of merit, aiming at an a priori evaluation of the potential simultaneous gain in heat transfer and parasitic power. The model showed conditions of combined gain specifically for the laminar flow regime, whereas turbulent flows proved inherently associated to higher pumping power; overall, criteria are presented to evaluate nanofluid performance as compared to that of conventional coolants. The model is generally applicable to the design of cooling systems and emphasizes laminar flow regime as promising in conjunction with the use of nanofluids, proposing indices for a quantitative a priori evaluation and leading to an advancement with respect to an a posteriori assessment of their performance

    A regional survey on Merkel cell carcinoma: a plea for uniform patient journey modeling and diagnostic–therapeutic pathway

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    Merkel cell carcinoma (MCC) is a rare and aggressive cutaneous neuroendocrine cancer that usually affects the elderly and immunosuppressed in sun-exposed areas. Due to its rarity, it is frequently unrecognized, and its management is not standardized across medical centers, despite the more recent availability of immunotherapy, with avelumab as first-line treatment improving the prognosis even in advanced stages of disease. We conducted a purpose-designed survey of a selected sample of physicians working in the Lazio region, in Italy, to assess their awareness and knowledge of MCC as well as their perspective on assisted diagnostic and therapeutic pathways. The Lazio region, and in particular Rome, is one of the most important academic and non- academic center in Italy dedicated to the diagnosis and treatment of skin cancer. A total of 368 doctors (including 100 general practitioners, 72 oncologists, 87 dermatologists, 59 surgeons, and 50 anatomopathologists) agreed to be part of this survey. Surgeons, oncologists, and dermatologists thought themselves significantly more updated on MCC than primary care physicians, but more than half of the interviewees are interested in CCM training courses and training with clearer and more standardized care pathways. Significant differences have been reported from survey participants in terms of multidisciplinary team set up for MCC management. The identification of specialized centers and the improvement of communication pathways among different specialties, as well as between patients and physicians, could be very beneficial in improving patients’ journey modeling and starting a uniform diagnostic and therapeutic pathway for MCC patients in the new era of immunotherapies
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