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Background: A subset of patients undergoing thyroid surgery for presumed benign thyroid disease presented with papillary thyroid microcarcinoma (PTMC). A non-invasive and precise method for early recognition of PTMC are urgently needed. The aim of this study was to construct and validate a nomogram that combines intratumoral and peritumoral radiomics features as well as clinical features for predicting PTMC in the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) 3 nodules using ultrasonography. Methods: A retrospective review was conducted on a cohort of 221 patients who presented with ACR TI-RADS 3 nodules. These patients were subsequently pathologically diagnosed with either PTMC or benign thyroid nodules. These patients were randomly divided into a training and test cohort with an 8:2 ratio for developing the clinical model, intratumor-region model, peritumor-region model and the combined-region model respectively. The radiomics features were extracted from ultrasound (US) images of each patient. We employed K-nearest neighbor (KNN) model as the base model for building the radiomics signature and clinical signature. Finally, a radiomics-clinical nomogram that combined intratumoral and peritumoral radiomics features as well as clinical features was developed. The prediction performance of each model was assessed by the area under the curve (AUC), sensitivity, specificity and calibration curve. Results: A total of 23 radiomics features were selected to develop radiomics models. The combined-region radiomics model showed favorable prediction efficiency in both the training dataset (AUC: 0.955) and the test dataset (AUC: 0.923). A radiomics-clinical nomogram was constructed and achieved excellent calibration and discrimination, which yielded an AUC value of 0.950, a sensitivity of 0.950 and a specificity of 0.920. Conclusions: This study proposed the nomogram that contributes to the accurate and intuitive identification of PTMC in ACR TI-RADS 3 nodules.
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INTRODUCTION: Communities of color had higher rates of Coronavirus (COVID-19) infection and lower rates of COVID-19 vaccination during the pandemic. Parental concern about the safety and necessity of pediatric COVID-19 vaccines contribute to low childhood vaccination. Enlisting parents and caregivers as trusted messengers is an evidence-based approach to mitigate this challenge. VaxUpPhillyFamilies was formed to engage parents and caregivers as vaccine ambassadors to increase vaccination rates in children of color. This study aimed to understand the key benefits, challenges, and lessons learned from the VaxUpPhillyFamilies program. METHODS: Three online debriefing sessions with ambassadors were conducted between September 7 and October 24, 2022, to share best practices, address challenges, receive emerging vaccine information, and provide support. Thematic analysis was utilized to develop broad themes and subthemes. RESULTS: Four themes with corresponding subthemes were identified: 1) Motivations to Become an Ambassador: a) improving the health of the community and b) personal satisfaction; 2) Defining Success: a) community interactions and b) influencing opinions; 3) Best Approaches: a) being mentally prepared with facts, b) addressing community health needs beyond COVID-19, c) demonstrating empathy, d) "meeting them where they're at" by motivational interviewing, and e) building trust and connection; 4) Challenges: a) changes in vaccine guidelines, b) vaccine misinformation, c) varied perceptions of severity of COVID-19 illness and benefits of the vaccine, d) breakdown of communication from trusted sources, and e) structural barriers to engagement. CONCLUSION: Parents and caregivers were a resource for delivering evidence-based messaging about COVID-19 and other health challenges. To effectively equip parents and caregivers as public health ambassadors, it is critical to offer training in engagement strategies, to identify and combat misinformation, and to provide support in navigating challenges. VaxUpPhillyFamilies program is a model for future public health campaigns.
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A strategic selection of tree species will shift the type and quality of litter input, and subsequently magnitude and composition of the soil organic carbon (SOC) through soil microbial community. We conducted a manipulative experiment in randomized block design with leaf litter inputs of four native subtropical tree species in a Pinus massoniana plantation in southern China and found that the chemical composition of SOC did not differ significantly among treatments until after 28 months of the experiment. Contrasting leaf litter inputs had significant impacts on the amounts of total microbial, Gram-positive bacterial, and actinomycic PLFAs, but not on the amounts of total bacterial, Gram-negative bacterial, and fungal PLFAs. There were significant differences in alkyl/O-alkyl C in soils among the leaf litter input treatments, but no apparent differences in the proportions of chemical compositions (alkyl, O-alkyl, aromatic, and carbonyl C) in SOC. Soil alkyl/O-alkyl C was significantly related to the amounts of total microbial, and Gram-positive bacterial PLFAs, but not to the chemical compositions of leaf litter. Our findings suggest that changes in forest leaf litter inputs could result in changes in chemical stability of SOC through the altered microbial community composition.
