se with complicating comorbidities (eg, hyperparathyroidism, chronic kidney disease). ©2019American Society for Bone andMineral Research.OBJECTIVES Prefabrication and storage of antibiotic beads may decrease surgical time and allow for use in other settings. This study investigated the effects of sterilization technique and storage time on the bioactivity of antibiotic polymethyl methacrylate (PMMA) beads. METHODS Uniform beads of PMMA containing 1 g each of tobramycin and vancomycin were sterilized using autoclave, ethylene oxide (ETO), or ultraviolet (UV) light. Beads were made in a sterile fashion as a control. Disks containing eluted antibiotics from each of the 4 groups were placed onto agar plates inoculated with Staphylococcus aureus. Zones of inhibition, a measure of bioactivity for antibiotic eluted, were determined for the experimental groups and control. Repeat testing was performed for beads stored for 1 week, 1, 3, and 6 months. RESULTS Beads sterilized using autoclave, ETO, and UV light showed similar ZOIs after 24 hours of and 1 week of elution compared with the control group. Beads stored for up to 6 months demonstrated similar bioactivity to beads made sterile and tested immediately. https://www.selleckchem.com/products/h-1152-dihydrochloride.html CONCLUSION PMMA beads containing vancomycin and tobramycin made in a sterile fashion and stored for up to 6 months have the same efficacy as the current standard of beads made sterile and used immediately. The elution and bioactivity of vancomycin-tobramycin antibiotic beads are not negatively impacted by the sterilization methods of autoclaving, ETO gas, or UV light. Furthermore, nonsterile beads can be sterilized and stored up to 6 months with an expected efficacy comparable with beads made in a standard sterile fashion.OBJECTIVE To compare the biofilm formation on a biodegradable material, poly(3-hydroxybutyrate) (PHB), with that on conventional titanium (Ti) and steel (St) implant material. METHODS Pins made of the different materials were incubated in Müller-Hinton broth inoculated with 2 × 10 colony-forming units (CFU)·mL of Staphylococcus aureus for 2 and 7 days and then sonicated for the disruption of the biofilms. CFU were counted to quantify the number of bacteria in the biofilm, and the cell proliferation assay 2,3-Bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H- tetrazolium-5-carboxanilid salt was used to evaluate their metabolic activity. Scanning electron microscopy visualized the structure of the biofilm. RESULTS We found a significantly higher metabolic activity and CFU count in the biofilm of PHB pins compared with St and Ti pins (analysis of variance, P less then 0.0001). Scanning electron microscopy revealed structured biofilms on PHB pins already after 2 days of incubation, which was not observed on the other tested implants. CONCLUSION PHB implants seem to provide an environment that advantages the formation of biofilms of S. aureus, a common pathogen in implant-related infections. The amount of biofilm is higher on PHB implant compared with conventionally used orthopedic titanium and steel implants. To overcome the potential risk of surgical site infections linked to the clinical use of PHB implants, possible modifications of the material, increasing its antibacterial properties, need to be further investigated.PURPOSE To evaluate the diagnostic utility of the Look Locker inversion time (TI) sequence on cardiac magnetic resonance imaging in patients with suspected cardiac amyloidosis and to evaluate whether there are differences in the nulling pattern between amyloid types. MATERIALS AND METHODS A total of 144 patients with suspected cardiac amyloidosis who had undergone cardiac magnetic resonance imaging were included in this retrospective study. Sixty-four had cardiac amyloidosis (62.1±9.2 y, 70.3% male, 68.8% had light chain amyloid [AL], 18.8% had familial transthyretin amyloid caused by mutant genes [ATTRm], and 12.5% had wild-type transthyretin amyloid [ATTRwt]) and 80 did not have cardiac amyloidosis (61.3±13.3 y, 58.8% male). Time to myocardial and blood pool nulling on the Look Locker TI sequence was classified as normal if blood pool nulled before myocardium or abnormal if blood pool nulling was coincident with or after myocardial nulling. RESULTS The nulling pattern was abnormal in 26 patients with cardiac amyloidosis compared with none of the patients without cardiac amyloidosis (40.6% vs. 0.0%, P less then 0.0001). Abnormal nulling had 40.6% sensitivity and 100% specificity for cardiac amyloidosis (area under the receiver operating characteristic curve 0.703, 95% confidence interval 0.642-0.764). All patients with cardiac amyloidosis with an abnormal nulling pattern demonstrated late gadolinium enhancement. Among patients with cardiac amyloidosis, there was no significant difference in abnormal nulling between AL, ATTRm, and ATTRwt amyloid types (31.8%, 58.3%, 62.5%, respectively, P=0.10). CONCLUSIONS An abnormal nulling pattern on the Look Locker TI sequence is highly specific for cardiac amyloidosis when present. However, abnormal nulling is a late finding with low sensitivity and does not differentiate between amyloid types.Clinical, laboratory, and computed tomography (CT) findings of 5 cases of the novel Coronavirus Disease 2019 (COVID-19) pneumonia from patients outside of Wuhan were reviewed. The human-to-human transmission of the virus may explain the infection of the disease outside of Wuhan. CT examination is important in the early detection and follow-up of the disease. With a history of exposure or travelling, symptoms of fever and cough, and the typical CT manifestation such as ground-glass opacity with a peripheral distribution, we should also think of the possibility of the COVID-19 pneumonia in patients outside of Wuhan.During the latest years, artificial intelligence, and especially machine learning (ML), have experienced a growth in popularity due to their versatility and potential in solving complex problems. In fact, ML allows the efficient handling of big volumes of data, allowing to tackle issues that were unfeasible before, especially with deep learning, which utilizes multilayered neural networks. Cardiac computed tomography (CT) is also experiencing a rise in examination numbers, and ML might help handle the increasing derived information. Moreover, cardiac CT presents some fields wherein ML may be pivotal, such as coronary calcium scoring, CT angiography, and perfusion. In particular, the main applications of ML involve image preprocessing and postprocessing, and the development of risk assessment models based on imaging findings. Concerning image preprocessing, ML can help improve image quality by optimizing acquisition protocols or removing artifacts that may hinder image analysis and interpretation. ML in image postprocessing might help perform automatic segmentations and shorten examination processing times, also providing tools for tissue characterization, especially concerning plaques.