Basal cell carcinoma

Vemos na região frontal de um paciente masculino, fototipo II de Fitzpatrick, lesão ulcerada com bordas papulosas róseas e peroladas, correspondendo a Carcinoma Basocelular. É lesão maligna originária das células não- queratinizadas da camada basal da epiderme, sendo a forma mais comum de câncer em humanos. Estima-se em torno de 100.000 casos/ano no Brasil. Ocorre predominantemente em pele exposta de indivíduos com pouca capacidade de se bronzear. Pode se tornar invasivo, mas raramente metastatiza

Basal cell carcinoma

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Actinic keratoses

As ceratoses actínicas são neoplasmas cutâneos encontrados predominantemente em pele exposta, sendo formas incipientes de carcinoma espinocelular. Essas lesões são usualmente conseqüências da exposição solar crônica em indivíduos com fototipo I e II de Fitzpatrick. O diagnóstico é predominantemente clínico. Numerosos tratamentos estão disponíveis, e alguns deles são importantes por tratarem toda a superfície da pele acometida. Faltam, na literatura, estudos comparativos randomizados e prospectivos dos diferentes tratamentos. Neste trabalho, é apresentada uma revisão da literatura sobre ceratoses actínicas.Actinic keratoses are cutaneous neoplasms predominantly found on sun-exposed surfaces. They are incipient forms of cutaneous squamous cell carcinoma. These lesions are usually a consequence of long-term solar radiation in individuals with Fitzpatrick skin phototypes I and II. Diagnosis is predominantly based on clinical appearance. Several treatment options are available, and some of them are important to treat entire surface areas. Literature is lacking in prospective randomized studies comparing these treatments. In this article we review the scientific literature on actinic keratoses

CERATOSES ACTÍNICAS

As ceratoses actínicas são neoplasmas cutâneos encontrados redominantemente em pele exposta, sendo formas incipientes de carcinoma espinocelular. Essas lesões são usualmente conseqüências da exposição solar crônica em indivíduos com fototipo I e II de Fitzpatrick. O diagnóstico é predominantemente clínico. Numerosos tratamentos estão disponíveis, e alguns deles são importantes por tratarem toda a superfície da pele acometida. Faltam, na literatura, estudos comparativos randomizados e prospectivos dos diferentes tratamentos. Neste trabalho, é apresentada uma revisão da literatura sobre ceratoses actínicas.Unitermos: Ceratose actínica, fotoenvelhecimento

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

Pênfigo familiar benigno

É dermatose bolhosa hereditária autossômica dominante, descrita primeiramente pelos irmãos Hailey em 1939