Tratamento cirúrgico de Adenoma Pleomórfico em palato duro em adolescente – relato de caso clínico

O Adenoma Pleomórfico é a neoplasia benigna mais comum das glândulas salivares maiores ocorrendo principalmente nas glândulas parótidas e mais raramente, em glândulas salivares menores. Das regiões mais acometidas pelo AP de glândulas salivares menores, o palato é o sítio de maior ocorrência. Clinicamente apresenta-se como um nódulo bem delimitado recoberto por mucosa de coloração e aspecto normais, indolor, de evolução lenta e muitas vezes desapercebido pelo paciente. Os exames de imagem ideais para a avaliação dessa patologia é a tomografia computadorizada e a ressonância magnética. Seu tratamento é baseado na excisão cirúrgica e as taxas de recidiva são baixas. O objetivo deste trabalho foi relatar um caso clínico de Adenoma Pleomórfico em palato duro em uma adolescente de 13 anos tratado com excisão cirúrgica pela equipe de Cirurgia e Traumatologia Bucomaxilofacial do Hospital Regional Sul, e realizar uma revisão de literatura a respeito dessa patologia, com ênfase na faixa etária do caso descrito dada a sua raridade

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Avulsions in adolescent soccer players: preliminary results of radiographic, ultrasonographic and magnetic resonance findings

Objectives: The main objective of this study was to characterize soccer related avulsions radiologically. The secondary objectives were to describe the athletes' clinical profile and other musculoskeletal changes associated with avulsions. Materials and methods: Cross-sectional study with adolescent athletes from a Brazilian team soccer academy. Inclusion criteria were age between 11 and 16 years and clinical and magnetic resonance imaging (MRI) diagnosis of avulsion. Exclusion criteria were exams with an unacceptable technical standard and absence of clinical data. Four radiologists revised the exams consensually (two for each method). The equipment used was a General Electric (GE) US scanner, model Logic 10, and a 1.5 T MRI GE scanner, Optima MR 360 model, and a Shimadzu RX scanner, Radspeed MC model. Results and discussion: Nine showed signs of avulsion from a sample of 37 athletes. The mean age was 13.1 years, and all were male. Four athletes were injured during the matches (44.4%), and another five were in training (55.6%). Clinically, one injury was considered mild (11.1%), two moderate (22.2%), and six severe (66.7%). The anatomical locations and frequencies of avulsions were: five in the anterior inferior iliac spine (AIIS) (55.6%), two in the ischiatic tuberosity (IT) (22.2%), and two in the iliac crest (22.2%). Ultrasonography (US) was performed in 10 cases and detected seven avulsions (77.8%). All lesions not detected by US occurred at the IT. A pelvic radiograph was performed in seven cases and was positive in five athletes (77.8%). Undetected cases occurred at the AIIS. Avulsions occurred in isolation in eight cases (88.9%), simultaneously with indirect trauma in three (33.3%) and direct trauma in two (22.2%). Conclusion: In adolescent soccer players, a quarter of traumatic injuries are avulsions, which are more common at the AIIS. US proved ineffective in identifying some IT lesions and radiography, some others at the AIIS