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The authors sought to examine relationships between CT metrics derived via an automated method and clinical parameters of extraocular muscle changes in thyroid eye disease (TED).

CT images of 204 orbits in the setting of TED were analyzed with an automated segmentation tool developed at the institution. Labels were applied to orbital structures of interest on the study images, which were then registered against a previously established atlas of manually indexed orbits derived from 35 healthy individuals. Point-wise correspondences between study and atlas images were then compared via a fusion algorithm to highlight metrics of interest where TED orbits differed from healthy orbits.

Univariate analysis demonstrated several correlations between CT metrics and clinical data. Metrics pertaining to the extraocular muscles-including average diameter, maximum diameter, and muscle volume-were strongly correlated (p < 0.05) with the presence of ocular motility deficits with regards to the superior, inferior, and lateral recti (with exception of superior rectus motility deficits being mildly correlated with muscle volume [p = 0.09]). Motility defects of the medial rectus were strongly correlated with muscle volume, and only weakly correlated with average and maximum muscle diameter.

The novel method of automated imaging metrics may provide objective, rapid clinical information which may have utility in prevention and recognition of visual impairments in TED before they reach an advanced or irreversible stage and while they are able to be improved with immunomodulatory treatments.

The novel method of automated imaging metrics may provide objective, rapid clinical information which may have utility in prevention and recognition of visual impairments in TED before they reach an advanced or irreversible stage and while they are able to be improved with immunomodulatory treatments.

The coronavirus disease 2019 (COVID-19) pandemic has caught the world unprepared, with no prevention or treatment strategies in place. In addition to the efforts to develop an effective vaccine, alternative approaches are essential to control this pandemic, which will most likely require multiple readily available solutions. Among them, monoclonal anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies have been isolated by multiple laboratories in record time facilitated by techniques that were first pioneered for HIV-1 antibody discovery. Here, we summarize how lessons learned from anti-HIV-1 antibody discovery have provided fundamental knowledge for the rapid development of anti-SARS-CoV-2 antibodies.

Research laboratories that successfully identified potent broadly neutralizing antibodies against HIV-1 have harnessed their antibody discovery techniques to isolate novel potent anti-SARS-CoV-2 antibodies, which have efficacy in animal models. These antibodies represent promising clinical candidates for treatment or prevention of COVID-19.

Passive transfer of antibodies is a promising approach when the elicitation of protective immune responses is difficult, as in the case of HIV-1 infection. Antibodies can also play a significant role in post-exposure prophylaxis, in high-risk populations that may not mount robust immune responses after vaccination, and in therapy. Tacrolimus mouse We provide a review of the recent approaches used for anti-SARS-CoV-2 antibody discovery and upcoming challenges in the field.

Passive transfer of antibodies is a promising approach when the elicitation of protective immune responses is difficult, as in the case of HIV-1 infection. Antibodies can also play a significant role in post-exposure prophylaxis, in high-risk populations that may not mount robust immune responses after vaccination, and in therapy. We provide a review of the recent approaches used for anti-SARS-CoV-2 antibody discovery and upcoming challenges in the field.

There are unique benefits from advanced/micro-reactor designs and fuel types that offer safety features in the case of an accident that may reduce environmental consequences compared to conventional reactors and fuels. Tristructural isotropic (TRISO) fuel particles are a robust advanced nuclear fuel type that leads to the unique question of how unruptured, activated TRISO particles will interact with humans. TRISO particles are 900 μm in size, and that particle size restricts internal dose assessment to the ingestion pathway. Activity of the TRISO particle was established by High Temperature Engineering Test Reactor simulations. The TRISO particle encapsulation was assumed to be perfect; exploration of internal dose contribution from radionuclides released from encapsulation was not included. The TRISO particle was assumed to be mixed actively within each alimentary tract compartment such that homogenous distribution could be assumed according to the International Commission on Radiological Protection publiederal Regulations, 10 CFR Part 20 Subpart C. Similarly, the annual occupational limit of 0.5 Sv to any one organ would be exceeded for the left colon, right colon, and rectosigmoid colon for both the reference male and female.

Since the Fukushima nuclear disaster in March 2011, decontamination operations have been conducted across a wide area of Japan. The Japanese System of Registration and Management of Radiation Exposure Doses for Decontamination and Related Work, which was launched in November 2013, is administered by the Radiation Effects Association with the participation of prime contractors who perform decontamination and related work. This study aims to investigate the radiation exposure dose distribution of workers engaged in decontamination and related work, using data obtained from the above registration system. We analyzed the radiation exposure dose distributions among workers in 11 Fukushima prefectural municipalities (Futaba, Iitate, Katsurao, Kawamata, Kawauchi, Namie, Naraha, Minamisōma, Okuma, Tamura, and Tomioka) from 2013 to 2018. The mean radiation exposure doses of workers in each municipality were generally low, although a Kruskal-Wallis test showed a significant regional difference in the figures. The highest mean dose was 0.