Purpose: The aim of this study was to assess radiomorphometric indices in panoramic radiographs of pediatric cancer survivors. Materials and Methods: This population-based case-control study included 31 patients who were 18 years or older at the time of the radiograph and had a history of cancer diagnosed during childhood or adolescence (between 0 and 19 years of age), treated with chemotherapy and/or radiotherapy. The radiomorphometric indices mandibular cortical width (MCW) and mandibular cortical index (MCI) were assessed in panoramic radiographs to determine whether there was evidence of a reduction in bone mineral density (BMD). A 95% confidence level (P<0.05) was used for all statistical tests. Results: In the MCW analysis, the case group showed a variation between 2.2 mm and 4.6 mm, while the control group showed a variation between 2.9 mm and 5.2 mm (P<0.05). For MCI, most (54.8%) of the images in the casegroup were classified as C2, and 16.1% as C3, whereas none in the control group were classified as C3, demonstrating a statistically significant difference (P<0. 05). Conclusion Childhood cancer survivors are at an increased risk of long-term reduction in BMD, and panoramic radiomorphometric indices represent an accessible and reliable screening tool for predicting this risk.

Objectives: This study aimed to evaluate the surrounding and underlying shades’ effect on the color adjustment potential (CAP) of a single-shade composite used in a thin layer. Materials and Methods: Cylinder specimens (1.0 mm thick) were built with the Vittra APS Unique composite, surrounded (dual specimens) or not (simple specimens) by a control composite (shade A1, A2, or A3). Simple specimens were also built only with the control composites. Each specimen’s color was measured against white and black backgrounds or the simple control specimens with a spectrophotometer (CIELAB system). The whiteness index for dentistry (WID ) and translucency parameters (TP 00 ) were calculated for simple specimens. Differences (ΔE00 ) in color between the simple/dual specimens and the controls were calculated. The CAP was calculated based on the ratios between data from simple and dual specimens. Results: The Vittra APS Unique composite showed higher WID and TP00 values than the controls. The highest values of ΔE00 were observed among simple specimens. The color measurements of Vittra APS Unique (simple or dual) against the control specimens presented the lowest color differences. Only surrounding the single-shade composite with a shaded composite barely impacted the ΔE00 . The highest CAP values were obtained using a shaded composite under simple or dual specimens. Conclusions The CAP of Vittra APS Unique was strongly affected by the underlying shade, while surrounding this composite with a shaded one barely affected its color adjustment.

Tracking the most recent advances in Coronavirus disease 2019 (COVID-19)‒related research is essential, given the disease's novelty and its impact on society. However, with the publication pace speeding up, researchers and clinicians require automatic approaches to keep up with the incoming information regarding this disease. A solution to this problem requires the development of text mining pipelines; the efficiency of which strongly depends on the availability of curated corpora. However, there is a lack of COVID-19‒related corpora, even more, if considering other languages besides English. This project's main contribution was the annotation of a multilingual parallel corpus and the generation of a recommendation dataset (EN-PT and EN-ES) regarding relevant entities, their relations, and recommendation, providing this resource to the community to improve the text mining research on COVID-19‒related literature. This work was developed during the 7th Biomedical Linked Annotation Hackathon (BLAH7).