RESUMO

The increasing use of plastics in rural environments has led to concerns about agricultural plastic waste (APW). However, the plasticulture information gap hinders waste management planning and may lead to plastic residue leakage into the environment with consequent microplastic formation. The location and estimated quantity of the APW are crucial for territorial planning and public policies regarding land use and waste management. Agri-plastic remote detection has attracted increased attention but requires a consensus approach, particularly for mapping plastic-mulched farmlands (PMFs) scattered across vast areas. This article tests whether a streamlined time-series approach minimizes PMF confusion with the background using less processing. Based on the literature, we performed a vast assessment of machine learning techniques and investigated the importance of features in mapping tomato PMF. We evaluated pixel-based and object-based classifications in harmonized Sentinel-2 level-2A images, added plastic indices, and compared six classifiers. The best result showed an overall accuracy of 99.7% through pixel-based using the multilayer perceptron (MLP) classifier. The 3-time series with a 30-day composite exhibited increased accuracy, a decrease in background confusion, and was a viable alternative for overcoming the impact of cloud cover on images at certain times of the year in our study area, which leads to a potentially reliable methodology for APW mapping for future studies. To our knowledge, the presented PMF map is the first for Latin America. This represents a first step toward promoting the circularity of all agricultural plastic in the region, minimizing the impacts of degradation on the environment.

RESUMO

The pampas of South America represent one of the most productive lands for agriculture in the world, and consequently this activity has expanded throughout the region, especially in Argentina. In this context, native fauna faces various risks associated with agriculture, with exposure to pesticides being one of the most dangerous and deadly. Assessing the impact of pesticides on wildlife becomes fundamental and the use of sentinel species emerges as an important tool to monitor environmental health. In this study, we determined pesticide levels in the burrowing owl Athene cunicularia nesting in both rural and urban areas of the argentinean pampas. We used a multiple scale approach to evaluate the influence of land-uses (urban, crops, and grazing fields) at the nesting site on the contaminant load of A. cunicularia individuals, and assessed the potential use of this owl as a sentinel species. From March 2018 to January 2020, A. cunicularia feathers were collected at their nest sites in one urban and two rural areas. These samples were analyzed for the presence of contaminants, including chlorpyrifos and 18 organochlorine pesticides. All the compounds analyzed were detected in A. cunicularia samples. The chlorpyrifos showed the highest frequency of occurrence and concentration, thus denoting the exposure of owls to current-use pesticides. ∑DDTs showed the highest occurrence among organochlorines, followed by ∑HCHs > ∑Endosulfans > ∑Heptachlors > ∑Drins = ∑Chlordanes > methoxychlor. Principal Component Analysis showed that most of the compounds found in A. cunicularia samples showed a positive association with grazing fields, suggesting that exposure to contaminants does not depend on specific habitat use at the local scale, but probably the regional scale. Our results evidenced the exposure of A. cunicularia individuals to past and current-use pesticides in the pampas of Argentina, and indicate that this owl would be useful as a sentinel species.

RESUMO

Over the past decade, SLN mapping has become increasingly important in cervical cancer surgery. ICG is the most commonly used tracer due to its high bilateral detection rates, ease of use, and safety. However, there is no consensus on the optimal ICG dose, leading to variability in outcomes. This systematic review aims to evaluate the impact of different ICG doses on SLN detection in early-stage cervical cancer, identifying the most effective and safe dose for clinical practice. A comprehensive search was conducted in MEDLINE/PubMed up to May 2024. Studies included assessed SLN mapping using ICG in stage IA2-IIA/IIB cervical cancer. Exclusions were applied to studies not reporting ICG dose or using multiple tracers without dose-specific results. Twelve studies were included, with ICG concentrations ranging from 0.25 mg/mL to 25 mg/mL and injection volumes from 1 to 10 mL. Overall SLN detection rates ranged from 88% to 100%, while bilateral detection rates varied between 74.1% and 98.5%. The most consistent results were obtained with an ICG concentration of 1.25 mg/mL and a 4 mL injection volume. In conclusion, an ICG concentration of 1.25 mg/mL with a 4 mL injection volume is recommended for effective SLN mapping in cervical cancer, achieving high detection rates with minimal variability. Standardizing this dose in clinical practice is suggested to improve reproducibility and outcomes.

RESUMO

Exposure and resulting tissue concentrations of various elements from natural and anthropogenic sources are influenced by multiple factors, such as geographic location, age, diet, and metabolic rate, that can influence wildlife health. Essential and non-essential elements were assessed in lanugo and whole blood collected in 2019 from 102 Steller sea lion (Eumetopias jubatus) pups from two rookeries from the western and central Aleutian Islands: Agattu (WAI, n = 54) and Ulak Islands (CAI, n = 48). Rookery, sex, dorsal standard length, and trophic ecology (ẟ15N, ẟ13C values) effects on element concentration were evaluated. Significant differences in element concentrations of lanugo were exhibited across rookeries (p < 0.05), except for zinc (Zn). For example, higher mercury (Hg) and selenium (Se) concentrations were observed in WAI than CAI, while other elements were lower in WAI. Whole blood showed higher sulfur (S) and Se concentrations in CAI compared to WAI, while WAI had elevated strontium (Sr) and Hg concentrations relative to CAI. Trophic ecology significantly influenced most element concentrations, possibly due to regional variations in adult female feeding and food web dynamics. Interactions between elements were found in lanugo across both rookeries, with varying strengths. Whole blood displayed less pronounced yet consistent associations, with variable intensities. Essential elements sodium (Na), potassium (K), and calcium (Ca) formed a distinct group whose interaction is crucial for nervous system function and muscle contraction. Another group comprised zinc (Zn), iron (Fe), manganese (Mn), magnesium (Mg), phosphorous (P), S, and Se, which are known for indirectly interacting with enzyme function and metabolic pathways. Hg and Se formed a distinct group probably due to their known chemical interactions and physiological protective interactions.

Assuntos

Leões-Marinhos , Animais , Leões-Marinhos/metabolismo , Alaska , Feminino , Monitoramento Ambiental , Poluentes Químicos da Água/metabolismo , Oligoelementos/metabolismo , Masculino , Cadeia Alimentar , Selênio/metabolismo , Selênio/sangue

RESUMO

Several reptile species have been described as hosts of Trypanosoma cruzi, the causative agent of Chagas disease, and therefore, they have become vertebrates of epidemiological interest. In recent decades, there has been a growing interest in animal welfare, especially in populations with small numbers where lethal sampling could have catastrophic consequences, and non-lethal methodologies have been developed for detecting zoonotic parasites. In this study, we compared three non-lethal sampling methodologies for detecting T. cruzi DNA in 21 captured specimens of the native lizard Liolaemus monticola, collected from the semiarid Mediterranean ecosystem of Chile. Specimens were subjected to xenodiagnosis (XD), tail clipping, and living syringe sampling procedures to evaluate whether lizards could serve as sentinel species for T. cruzi in endemic regions. To detect the protozoan, real-time PCR (qPCR) was performed on the DNA extracted from the samples (intestinal contents, tail tissues, and blood from living syringes). Trypanosoma cruzi DNA was detected in 12 of 21 lizards, considering all three methodologies. By XD, 12 specimens showed infection (57.1 %), and both living syringe and tail sampling methodologies detected only one infected lizard (4.8 %). Therefore, T. cruzi can be detected in lizards by qPCR using the three methodologies but XD is by far the most effective non-lethal detection methodology. The use of tail and living syringe methodologies showed a large underestimation; however, they might be options for monitoring the presence of T. cruzi in lizard populations when large sample sizes are available.

Assuntos

Doença de Chagas , DNA de Protozoário , Reservatórios de Doenças , Lagartos , Trypanosoma cruzi , Animais , Lagartos/parasitologia , Trypanosoma cruzi/isolamento & purificação , Trypanosoma cruzi/genética , Chile/epidemiologia , DNA de Protozoário/análise , DNA de Protozoário/isolamento & purificação , Doença de Chagas/veterinária , Doença de Chagas/diagnóstico , Doença de Chagas/parasitologia , Doença de Chagas/epidemiologia , Reservatórios de Doenças/parasitologia , Reservatórios de Doenças/veterinária , Reação em Cadeia da Polimerase em Tempo Real/veterinária , Zoonoses/parasitologia

RESUMO

BACKGROUND: Isolated positive para-aortic lymph node metastasis in endometrial cancer is an uncommon event, ranging from 1% to 3%. OBJECTIVE: Our aim was to evaluate the impact of sentinel lymph node (SLN) mapping on the risk of isolated positive para-aortic lymph node metastasis. METHODS: We retrospectively evaluated a series of 426 patients who underwent SLN mapping with at least one SLN detected from January 2013 to December 2021 (SLN group) compared with a historical series of 209 cases who underwent a systematic pelvic and para-aortic lymphadenectomy between June 2007 and April 2015 (LND group). Isolated para-aortic lymph node metastasis recurrences were included in the SLN group analysis. RESULTS: In the SLN group, 168 cases (39.4%) had backup systematic lymphadenectomy, and 56 (13.1%) had positive lymph nodes compared with 34 (16.3%) in LND group (p=0.18). The SLN group had higher rates of minimally invasive surgeries (p<0.001) and presence of lymphovascular space invasion (p<0.001). Moreover, SLN group had fewer other uterine risk factors, such as high-grade tumors (p<0.001), and deep myometrial invasion (p<0.001). We found that SLN mapped outside the pelvis at pre-sacral, common iliac areas, and para-aortic regions in 2.8% (n=12), 11.5% (n=49), and 1.6% (n=7) of cases, respectively. Overall, 52 (12.2%) patients had positive SLNs, and 3 (5.7%) positive SLNs were found outside the pelvis-one in the pre-sacral region, one in the common iliac area, and one in the para-aortic region. An isolated para-aortic lymph node was found in only 2 (0.5%) cases in the SLN group compared with 7 (3.3%) cases in the LND group (p=0.004). CONCLUSIONS: SLN protocol accurately predicts lymph node status and may decrease the risk of failed identification of isolated para-aortic lymph node metastasis compared with systematic lymphadenectomy.

Assuntos

Neoplasias do Endométrio , Linfonodos , Metástase Linfática , Linfonodo Sentinela , Humanos , Feminino , Neoplasias do Endométrio/patologia , Neoplasias do Endométrio/cirurgia , Pessoa de Meia-Idade , Estudos Retrospectivos , Idoso , Linfonodo Sentinela/patologia , Linfonodo Sentinela/cirurgia , Linfonodos/patologia , Linfonodos/cirurgia , Biópsia de Linfonodo Sentinela/métodos , Excisão de Linfonodo/métodos , Adulto , Aorta/patologia

RESUMO

Human-to-animal reverse transmission of SARS-CoV-2 is a risk for new reservoirs' emergence and new variants' evolution. SARS-CoV-2 infection of synanthropic rodents in urban settings has been reported during COVID-19 in New York and Mexico cities. In this study, we addressed the potential transmission of SARS-CoV-2 to synanthropic rats in the city of Guayaquil (Ecuador) during the COVID-19 pandemic. A total number of 234 rats were collected and analyzed for SARS-CoV-2 detection by RT-qPCR. A positivity rate of 6 % (14 rats) was found, and SARS-CoV-2 infection was confirmed by Sanger sequencing of the viral genome. Our results confirm the potential risk of synanthropic rats as reservoirs for SARS-CoV-2 infection. This is worrisome for low and middle income countries like Ecuador, where pest and waste control in urban settings is challenging. Moreover, the risk of spillover to wild fauna is a concern in Guayaquil, where synanthropic fauna includes raccoons or coatis and forest patches with a wild population of felids or primates existing within the city limits. In this context, SARS-CoV-2 sentinel surveillance of synanthropic rodents could serve as a proxy for a One Health approach to prevent the emergence of new wild reservoirs.

Assuntos

COVID-19 , Reservatórios de Doenças , SARS-CoV-2 , Animais , Ratos , COVID-19/prevenção & controle , COVID-19/epidemiologia , COVID-19/transmissão , SARS-CoV-2/genética , Reservatórios de Doenças/virologia , Equador/epidemiologia , Humanos , Genoma Viral

RESUMO

This study introduces an orbital monitoring system designed to quantify non-technical losses (NTLs) within electricity distribution networks. Leveraging Sentinel-2 satellite imagery alongside advanced techniques in computer vision and machine learning, this system focuses on accurately segmenting urban areas, facilitating the removal of clouds, and utilizing OpenStreetMap masks for pre-annotation. Through testing on two datasets, the method attained a Jaccard index (IoU) of 0.9210 on the training set, derived from the region of France, and 0.88 on the test set, obtained from the region of Brazil, underscoring its efficacy and resilience. The precise segmentation of urban zones enables the identification of areas beyond the electric distribution company's coverage, thereby highlighting potential irregularities with heightened reliability. This approach holds promise for mitigating NTL, particularly through its ability to pinpoint potential irregular areas.

RESUMO

Introduction: Cervical cancer is a public health problem in our country and worldwide. Less than 25% of cases are diagnosed in the early stages, where survival is more remarkable than 90% at five years. Here, we review surgical treatment in the early stages of cervical cancer. Methodology: A literature review was carried out in the MEDLINE database. The search was mainly limited to the English language, with priority given to systematic reviews with or without meta-analysis and randomized studies. However, only retrospective or observational evidence was found for some topics. Results: The standard treatment for early-stage cervical cancer is hysterectomy, and its radical nature will depend on the tumor size, lymphovascular permeation, and tumor-specific prognostic factors. Furthermore, the type of surgery (hysterectomy or trachelectomy) will rely on the patient's desire to preserve fertility. Nodal evaluation is indicated as part of the treatment from stage IAI with PLV. However, the sentinel lymph node is more relevant in the treatment. The incidental finding of cervical cancer after a hysterectomy requires a multidisciplinary evaluation to determine the therapeutic approach. Less radical surgery has been described as oncologically safe in low-risk groups. Conclusion: Surgical treatment in its early stages has evolved in recent decades, making it more individualized and seeking less morbidity in patients without compromising their survival.

RESUMO

Objective This study aims to investigate breast cancer lymph node involvement in a West Indian population while correlating it with various histological parameters and evaluating the role of the sentinel lymph node biopsy. Method This is a retrospective study where histology reports for all breast cancer-related biopsies from 2018 to 2021, totaling 813 samples, were obtained. Histological parameters from these reports were extracted into a spreadsheet and analyzed using Statistical Product and Service Solutions (SPSS, version 28.0; IBM SPSS Statistics for Windows, Armonk, NY) software for TNM staging and axillary and sentinel lymph node dissections, among other fields found in histology reports. Results In 44.8% of cases, patients present at the T2 stage with associated lymph node spread. Each T stage had more lymph nodes involved than uninvolved for tumors sized T2 and higher. Inversely, for tumors staged under T2, there were generally more uninvolved lymph nodes than involved ones. Larger tumors were found to have advanced N staging, especially in the T3 category, where a significantly higher proportion of cases were found to have N2 and N3 staging compared to the other T stages. This trend is also seen in M staging, where larger tumors metastasize more than smaller tumors (40% for T4a, 0% for T1). Despite significant lymph node involvement being observed, sentinel lymph node biopsies were usually negative. Conclusion More patients in this population present with lymph node involvement than without. Larger breast cancer tumors are associated with greater lymph node involvement, particularly at T2 and higher stages. Sentinel lymph node biopsies can be omitted in smaller breast cancer tumors up to 2 cm in size, and the local recurrence rate is low despite a false-negative rate of around 10% in upfront sentinel lymph node biopsy.

RESUMO

BACKGROUND: Toxoplasmosis has been of public health concern due to direct associations with socioeconomic vulnerability and inadequate living conditions. METHODS: Accordingly, the present study aimed to assess antibodies against T. gondii, historical reported toxoplasmosis cases and associated socio-environmental risk factors in Pinhais, a full urban area of Curitiba, currently the eighth biggest metropolitan area of Brazil. Anti-Toxoplasma gondii antibodies were assessed by an indirect immunofluorescence reaction (RIFI). Owner and dog samples were also tested by IFAT to anti-Leishmania spp. and anti-Trypanosoma cruzi antibodies. RESULTS: Overall, 20/135 (14.8%) persons and 13/133 (9.8%) dogs from 25 different households were considered seropositive to T. gondii. All samples were seronegative to Leishmania spp. and Trypanosoma cruzi. CONCLUSIONS: Although no significant covariates were found in the regression model, statistically associated risk factors in the bivariate analysis included no public water use (p = 0.016) and drinking raw milk (p = 0.041) for owners, and obesity (p = 0.028) and tick infestation (p = 0.03) for dogs. In addition, a spatial cluster of T. gondii seropositivity for both owners and their dogs overlapped the location of historic reported cases of human acquired, gestational and congenital toxoplasmosis. Finally, the results herein showed tick infestation as an indicator of socio-environmental risk for T. gondii exposure in the household environment, and dogs may be used as sentinels for human toxoplasmosis cases.

RESUMO

Paramos, unique and biodiverse ecosystems found solely in the high mountain regions of the tropics, are under threat. Despite their crucial role as primary water sources and significant carbon repositories in Colombia, they are deteriorating rapidly and garner less attention than other vulnerable ecosystems like the Amazon rainforest. Their fertile soil and unique climate make them prime locations for agriculture and cattle grazing, often coinciding with economically critical deposits such as coal which has led to a steady decline in paramo area. Anthropic impact was evaluated using multispectral images from Landsat and Sentinel over 37 years, on the Guerrero and Rabanal paramos in central Colombia which have experienced rapid expansion of mining and agriculture. Our analysis revealed that since 1984, the Rabanal and Guerrero paramos have lost 47.96% and 59.96% of their native vegetation respectively, replaced primarily by crops, pastures, and planted forests. We detected alterations in the spectral signatures of native vegetation near coal coking ovens, indicating a deterioration of paramo health and potential impact on ecosystem services. Consequently, human activity is reducing the extent of paramos and their efficiency as water sources and carbon sinks, potentially leading to severe regional and even global consequences.

RESUMO

The expansion of the human population and the escalating use of chemical products pose a considerable threat to aquatic biodiversity. Consequently, there is an imperative need for the implementation of non-lethal, cost-effective, and easily deployable biomonitoring tools. In this context, fish and their behavior as biomarkers have gained prominence in monitoring of freshwater ecosystems. The aim of this study was to assess the state of art in the use of behavioral biomarkers in ecotoxicology, emphasizing their role as informative tools for global environmental monitoring. Through a systematic literature search, ninety-two articles focusing on the evaluation of behavioral changes in freshwater fish in response to pollution were identified. The most prevalent keywords were "behavior" (7%) and "zebrafish" (6%). Experiments were conducted in countries with expansive territories, such as the United States (18%) and Brazil (17%). Exotic species were primarily employed (58%), with Danio rerio (26%) being the most frequently studied species. Among pollutants, pesticides (32%) and medicines (25%) were the most frequently studied, while locomotion (38%) and social behaviors (18%) were the most frequently evaluated behaviors. Across these studies, authors consistently reported significant changes in the behavior of fish exposed to contaminants, including decreased swimming speed and compromised feeding efficiency. The review findings affirm that evaluating behavioral biomarkers in freshwater fish offers an informative, non-lethal, cost-effective, and easily implementable approach to understanding pollution impacts on freshwater ecosystems. Although few studies on behavioral biomarkers were available to date, the number has rapidly increased in recent years. Furthermore, a variety of novel approaches and study models are being included. Research into behavioral biomarkers is crucial for understanding and managing environmental risks in freshwater ecosystems. Nevertheless, further studies are needed to enhance our understanding of behavioral toxicity indicators, considering factors such as life stage, sex, and breeding season in the tested species.

Assuntos

Comportamento Animal , Biomarcadores , Monitoramento Ambiental , Peixes , Água Doce , Poluentes Químicos da Água , Animais , Água Doce/química , Poluentes Químicos da Água/toxicidade , Poluentes Químicos da Água/análise , Comportamento Animal/efeitos dos fármacos , Monitoramento Ambiental/métodos , Ecossistema

RESUMO

Abstract Introduction : Although therapeutic advances have improved results of cutaneous melanoma (CM), senti nel node-positive patients still have substantial risk to develop recurrent disease. We aim to investigate prog nostic indicators associated with disease recurrence in positive-sentinel lymph node biopsy (SLNB) patients in a Latin-American population. Methods : Retrospective analysis of CM patients and positive-SLNB (2010-2020). Patients were divided into two groups: Group A (completion lymph node dissection, CLND), Group B (active surveillance, AS). Association of demographics, tumor data and SLN features with recurrence-free (RFS), distant metastases-free (DMFS) and melanoma specific (MSS) survival was analyzed. Results : Of 205 patients, 45 had a positive SLNB; 27(60%) belonged to Group A and 18(40%) to Group B. With a median follow-up of 36 months, 16 patients (12 in Group A and 4 in Group B) developed recurrent dis ease and estimated 5-yr RFS at any site was 60% (CI95%, 0.39 - 0.77) (44.5% in CLND group vs. 22% in AS group; P = 0.20). Estimated 5-yr DMFS and MSS: 65% (CI 95%, 0.44 - 0.81) and 73% (CI 95%, 0.59 - 0.89) with no differ ences between groups (p = 0.41 and 0.37, respectively). Independent predictors of poorer MSS were extranodal extension (ENE) and MaxSize > 2 mm of melanoma deposit in SLN. Factors independently associated with DMFS: Breslow depth > 2 mm, ENE, number (≥ 2) of posi tive SN and CLND status. Conclusion : Primary tumor and SN features in mela noma provide important prognostic information that help optimize prognosis and clinical management. AS is now the preferred approach for most positive-SLNB CM patients.

---

Resumen Introducción : Si bien los avances terapéuticos han permitido mejorar los resultados del melanoma cutáneo (MC), los pacientes con ganglio centinela positivo (BGCP) aún tienen riesgo elevado de desarrollar recurrencia de la enfermedad. Nuestro objetivo fue investigar in dicadores pronósticos asociados a dicho evento en una población latinoamericana. Métodos : Análisis retrospectivo de pacientes con MC y BGCP entre 2010-2020. Los pacientes se dividieron en 2 grupos: Grupo A (linfadenectomía terapéutica) y Grupo B (Vigilancia activa, VA). Se analizaron datos demográficos, tumorales y características del GC junto con sobrevida-libre de recurrencia (SLR), libre de metástasis a distancia (SLMD) y específica de melanoma (SEM). Resultados : De 205 pacientes, 45 presentaron BGCP; 27 (60%) perteneció al Grupo A y 18 (40%) al Grupo B. Con una mediana de seguimiento de 36 meses, 16 pa cientes (12 en Grupo A y 4 en Grupo B) desarrollaron enfermedad recurrente con una SLR a 5 años de 60% (IC95%: 0.39-0.77) (44.5% en Grupo B vs. 22% en Grupo A; P = 0.20). Las SLMD y SEM estimadas a 5 años fueron de 65% (CI 95%, 0.44 - 0.81) y 73% (CI 95%, 0.59 - 0.89) sin diferencias entre ambos grupos (p = 0.41 y 0.37, respec tivamente). Los predictores independientes de peor SEM fueron: extensión extranodal (ENE) y MaxSize > 2mm de depósito tumoral en GC. Los factores asociados de forma independiente con SLMD fueron Breslow >2mm, ENE, número (≥ 2) de GC positivos y el status (positividad) de la linfadenectomía. Conclusión : Características del tumor primario y del GC brindan información importante que ayuda a optimi zar el pronóstico y manejo clínico de los pacientes con MC. La VA es actualmente el abordaje de elección para la mayoría de los pacientes con BGCP.

RESUMO

Marine oil spills pose significant ecological and economic threats worldwide, requiring effective decision-making tools. In this study, the optimal parameters, and configurations for Deep Learning models in oil spill classification and segmentation using Sentinel-1 SAR imagery were identified. First, a new Sentinel-1 image dataset was created. Ninety CNN configurations were explored for classification by varying the number of convolutional layers, filters, hidden layers, and neurons in each layer. For segmentation tasks, MLP and U-Net models were evaluated with variations in convolutional layers, filters, and incorporation of IoU and Focal Loss. The results indicated that a CNN model with six layers, 32 filters, and two hidden layers achieved 99 % classification accuracy. For segmentation, the U-Net model with more layers and filters using Focal Loss achieved 99 % accuracy and 96 % IoU. Therefore, a CNN and U-Net framework was proposed that achieves an overall accuracy of 95 % and an IoU of 90 %.

Assuntos

Aprendizado Profundo , Monitoramento Ambiental , Poluição por Petróleo , Monitoramento Ambiental/métodos , Redes Neurais de Computação

RESUMO

In this study, multisensor remote sensing datasets were used to characterize the land use and land covers (LULC) flooded by Hurricane Willa which made landfall on October 24, 2018. The landscape characterization was done using an unsupervised K-means algorithm of a cloud-free Sentinel-2 MultiSpectral Instrument (MSI) image, acquired during the dry season before Hurricane Willa. A flood map was derived using the histogram thresholding technique over a Synthetic Aperture Radar (SAR) Sentinel-1 C-band and combined with a flood map derived from a Sentinel-2 MSI image. Both, the Sentinel-1 and Sentinel-2 images were obtained after Willa landfall. While the LULC map reached an accuracy of 92%, validated using data collected during field surveys, the flood map achieved 90% overall accuracy, validated using locations extracted from social network data, that were manually georeferenced. The agriculture class was the dominant land use (about 2,624 km2), followed by deciduous forest (1,591 km2) and sub-perennial forest (1,317 km2). About 1,608 km2 represents the permanent wetlands (mangrove, salt marsh, lagoon and estuaries, and littoral classes), but only 489 km2 of this area belongs to aquatic surfaces (lagoons and estuaries). The flooded area was 1,225 km2, with the agricultural class as the most impacted (735 km2). Our analysis detected the saltmarsh class occupied 541 km2in the LULC map, and around 328 km2 were flooded during Hurricane Willa. Since the water flow receded relatively quickly, obtaining representative imagery to assess the flood event was a challenge. Still, the high overall accuracies obtained in this study allow us to assume that the outputs are reliable and can be used in the implementation of effective strategies for the protection, restoration, and management of wetlands. In addition, they will improve the capacity of local governments and residents of Marismas Nacionales to make informed decisions for the protection of vulnerable areas to the different threats derived from climate change.

Assuntos

Tempestades Ciclônicas , Inundações , Tecnologia de Sensoriamento Remoto , Inundações/estatística & dados numéricos , Tecnologia de Sensoriamento Remoto/instrumentação , Tecnologia de Sensoriamento Remoto/métodos , Monitoramento Ambiental/métodos , Humanos , Algoritmos

RESUMO

Marine protected areas (MPAs) are zones geographically delimited under pre-defined management goals, seeking to reduce anthropogenic threats to biodiversity. Despite this, in recent years reports of MPAs affected by chemical contamination has grown. Therefore, this study addresses this critical issue assessing legacy and current chemical contamination in filter-feeder bivalves obtained in very restrictive no-take MPAs from Brazil. The detected pollutants encompass polycyclic aromatic hydrocarbons (PAHs), linear alkylbenzenes (LABs), and persistent organic pollutants (POPs) like dichlorodiphenyltrichloroethane (DDTs) and polychlorinated biphenyls (PCBs). Despite protective measures, bivalves from nine MPAs exhibited high LABs (13.2-1139.0 ng g-1) and DDTs levels (0.1-62.3 ng g-1). PAHs were present in low concentrations (3.1-29.03 ng g-1), as PCBs (0.7-6.4 ng g-1), hexachlorobenzene (0.1-0.2 ng g-1), and Mirex (0.1-0.3 ng g-1). Regardless of the sentinel species, MPAs and management categories, similar accumulation patterns were observed for LABs, DDTs, PAHs, and PCBs. Based on the limits proposed by Oslo Paris Commission, the measured levels of PAHs, PCBs and were below the environmental assessment criteria. Such findings indicate the no biological effects are expected to occur. However, they are higher considering background conditions typically measured in remote or pristine areas and potential simultaneous exposure. Such findings indicate an influence of anthropogenic sources, emphasizing the urgency for monitoring programs guiding strategic management efforts to safeguard these areas.

Assuntos

Bivalves , Monitoramento Ambiental , Bifenilos Policlorados , Hidrocarbonetos Policíclicos Aromáticos , Poluentes Químicos da Água , Animais , Brasil , Hidrocarbonetos Policíclicos Aromáticos/análise , Bifenilos Policlorados/análise , Poluentes Químicos da Água/análise , Poluentes Orgânicos Persistentes

RESUMO

INTRODUCTION: Although therapeutic advances have improved results of cutaneous melanoma (CM), sentinel node-positive patients still have substantial risk to develop recurrent disease. We aim to investigate prognostic indicators associated with disease recurrence in positive-sentinel lymph node biopsy (SLNB) patients in a Latin-American population. METHODS: Retrospective analysis of CM patients and positive-SLNB (2010-2020). Patients were divided into two groups: Group A (completion lymph node dissection, CLND), Group B (active surveillance, AS). Association of demographics, tumor data and SLN features with recurrence-free (RFS), distant metastases-free (DMFS) and melanoma specific (MSS) survival was analyzed. RESULTS: Of 205 patients, 45 had a positive SLNB; 27(60%) belonged to Group A and 18(40%) to Group B. With a median follow-up of 36 months, 16 patients (12 in Group A and 4 in Group B) developed recurrent disease and estimated 5-yr RFS at any site was 60% (CI95%, 0.39 - 0.77) (44.5% in CLND group vs. 22% in AS group; P = 0.20). Estimated 5-yr DMFS and MSS: 65% (CI 95%, 0.44 - 0.81) and 73% (CI 95%, 0.59 - 0.89) with no differences between groups (p = 0.41 and 0.37, respectively). Independent predictors of poorer MSS were extranodal extension (ENE) and MaxSize > 2 mm of melanoma deposit in SLN. Factors independently associated with DMFS: Breslow depth > 2 mm, ENE, number (≥ 2) of positive SN and CLND status. CONCLUSION: Primary tumor and SN features in melanoma provide important prognostic information that help optimize prognosis and clinical management. AS is now the preferred approach for most positive-SLNB CM patients.

---

Introducción: Si bien los avances terapéuticos han permitido mejorar los resultados del melanoma cutáneo (MC), los pacientes con ganglio centinela positivo (BGCP) aún tienen riesgo elevado de desarrollar recurrencia de la enfermedad. Nuestro objetivo fue investigar indicadores pronósticos asociados a dicho evento en una población latinoamericana. Métodos: Análisis retrospectivo de pacientes con MC y BGCP entre 2010-2020. Los pacientes se dividieron en 2 grupos: Grupo A (linfadenectomía terapéutica) y Grupo B (Vigilancia activa, VA). Se analizaron datos demográficos, tumorales y características del GC junto con sobrevidalibre de recurrencia (SLR), libre de metástasis a distancia (SLMD) y específica de melanoma (SEM). Resultados: De 205 pacientes, 45 presentaron BGCP; 27 (60%) perteneció al Grupo A y 18 (40%) al Grupo B. Con una mediana de seguimiento de 36 meses, 16 pacientes (12 en Grupo A y 4 en Grupo B) desarrollaron enfermedad recurrente con una SLR a 5 años de 60% (IC95%: 0.39-0.77) (44.5% en Grupo B vs. 22% en Grupo A; P = 0.20). Las SLMD y SEM estimadas a 5 años fueron de 65% (CI 95%, 0.44 ­ 0.81) y 73% (CI 95%, 0.59 ­ 0.89) sin diferencias entre ambos grupos (p = 0.41 y 0.37, respectivamente). Los predictores independientes de peor SEM fueron: extensión extranodal (ENE) y MaxSize > 2mm de depósito tumoral en GC. Los factores asociados de forma independiente con SLMD fueron Breslow > 2mm, ENE, número (≥ 2) de GC positivos y el status (positividad) de la linfadenectomía. Conclusión: Características del tumor primario y del GC brindan información importante que ayuda a optimizar el pronóstico y manejo clínico de los pacientes con MC. La VA es actualmente el abordaje de elección para la mayoría de los pacientes con BGCP.

Assuntos

Melanoma , Recidiva Local de Neoplasia , Biópsia de Linfonodo Sentinela , Neoplasias Cutâneas , Humanos , Melanoma/patologia , Melanoma/cirurgia , Neoplasias Cutâneas/patologia , Neoplasias Cutâneas/cirurgia , Masculino , Feminino , Estudos Retrospectivos , Pessoa de Meia-Idade , Recidiva Local de Neoplasia/patologia , Biópsia de Linfonodo Sentinela/estatística & dados numéricos , Argentina , Idoso , Adulto , Linfonodo Sentinela/patologia , Prognóstico , Melanoma Maligno Cutâneo , Metástase Linfática/patologia , Excisão de Linfonodo , Idoso de 80 Anos ou mais , Intervalo Livre de Doença

RESUMO

The concentration of gases in the atmosphere is a topic of growing concern due to its effects on health, ecosystems etc. Its monitoring is commonly carried out through ground stations which offer high precision and temporal resolution. However, in countries with few stations, such as Ecuador, these data fail to adequately describe the spatial variability of pollutant concentrations. Remote sensing data have great potential to solve this complication. This study evaluates the spatiotemporal distribution of nitrogen dioxide (NO2) and ozone (O3) concentrations in Quito and Cuenca, using data obtained from ground-based and Sentinel-5 Precursor mission sources during the years 2019 and 2020. Moreover, a Linear Regression Model (LRM) was employed to analyze the correlation between ground-based and satellite datasets, revealing positive associations for O3 (R2 = 0.83, RMSE = 0.18) and NO2 (R2 = 0.83, RMSE = 0.25) in Quito; and O3 (R2 = 0.74, RMSE = 0.23) and NO2, (R2 = 0.73, RMSE = 0.23) for Cuenca. The agreement between ground-based and satellite datasets was analyzed by employing the intra-class correlation coefficient (ICC), reflecting good agreement between them (ICC ≥0.57); and using Bland and Altman coefficients, which showed low bias and that more than 95% of the differences are within the limits of agreement. Furthermore, the study investigated the impact of COVID-19 pandemic-related restrictions, such as social distancing and isolation, on atmospheric conditions. This was categorized into three periods for 2019 and 2020: before (from January 1st to March 15th), during (from March 16th to May 17th), and after (from March 18th to December 31st). A 51% decrease in NO2 concentrations was recorded for Cuenca, while Quito experienced a 14.7% decrease. The tropospheric column decreased by 27.3% in Cuenca and 15.1% in Quito. O3 showed an increasing trend, with tropospheric concentrations rising by 0.42% and 0.11% for Cuenca and Quito respectively, while the concentration in Cuenca decreased by 14.4%. Quito experienced an increase of 10.5%. Finally, the reduction of chemical species in the atmosphere as a consequence of mobility restrictions is highlighted. This study compared satellite and ground station data for NO2 and O3 concentrations. Despite differing units preventing data validation, it verified the Sentinel-5P satellite's effectiveness in anomaly detection. Our research's value lies in its applicability to developing countries, which may lack extensive monitoring networks, demonstrating the potential use of satellite technology in urban planning.