Use of Intraoperative C-Arm Fluoroscopy in Open Reduction and Internal Fixation of Mandibular Condyle Fracture - A Case Report.

The Rationale: Condyle fractures are a common type of mandibular fracture that can result in malocclusion. Open reduction and internal fixation (ORIF) in condylar fracture is considered as the most acceptable treatment modality. Patient Concerns: The patient complained of pain and difficulty in the jaw while chewing. Diagnosis: An orthopantomogram and reverse Towne's view can lead to diagnosis of the condylar fracture. Treatment: Open reduction and internal fixation using intraoperative real-time visualisation of subcondylar fracture reduction utilising the C-arm fluoroscopic approach were used to allow for adequate anatomical repositioning and fast restoration of function to meet the patient's concerns. Outcomes: We were able to achieve correct reduction of the fracture fragments with restoration of function and occlusion. Take-away Lessons: When this procedure is used to treat condylar fractures, surgeons can get a better view of the fracture segments while eliminating the need for postoperative intermaxillary fixation and also reduces the complications from inappropriate reduction and fixation.

Is enucleation followed by peripheral ostectomy and Carnoy's solution application an adequate treatment for Odontogenic keratocyst? A case series with up to five years of follow up / A enucleação seguida da osteotomia periférica e a aplicação de solução de Carnoy é um tratamento adequado para o ceratocisto odontogênico? Uma série de casos com acompanhamento de até cinco anos

Objective: To evaluate the treatment outcome of enucleation and peripheral ostectomy with the use of Carnoy's solution for management of Odontogenic keratocyst. Material and Methods: 17 patients with OKC who reported from 2011 to 2015 were included. All the cases were treated by enucleation and peripheral ostectomy of 0.5mm followed by Carnoy's solution cauterization for 4 minutes. All patients were followed up for 4-5 years. Results: All the cases were followed-up by using serial panoramic radiography and clinical evaluation at regular intervals. No recurrence was reported in any of the cases. Conclusion: Treatment of Odontogenic keratocyst by enucleation and 0.5mm of peripheral ostectomy, followed by Carnoy's solution cauterization for 4 minutes is an effective treatment with zero recurrence rates for five years of follow-up (AU)

Objetivo: Avaliar o resultado do tratamento de enucleação e osteotomia periférica com o uso de solução de Carnoy para o manejo do ceratocisto odontogênico (OKC). Material e Métodos: 17 pacientes com OKC com acompanhamento de 2011 a 2015 foram incluídos. Todos os casos foram tratados através da enucleação e osteotomia periférica de 0,5 mm, seguido da cauterização com solução de Carnoy por 4 minutos. Todos os pacientes foram acompanhados por 4-5 anos. Resultados: Todos os casos foram acompanhados por meio de séries de radiografias panorâmicas e avaliação clínica em intervalos regulares. Nenhuma recorrência foi reportada em nenhum dos casos. Conclusão: O tratamento de ceratocisto odontogênico por meio da enucleação e osteotomia periférica de 0,5mm, seguido da cauterização com solução de Carnoy por 4 minutos é um tratamento efetivo com zero taxa de recorrência em um acompanhamento de 5 anos. (AU)

Use of Foley's catheter as a tourniquet for the management of vascular lesion of lip in Mowat-Wilson syndrome.

BACKGROUND: Vascular malformation of lower lip is a very rare anomaly. The lesion leads to facial asymmetry, difficulty in speech and eating and drooling of saliva. Treatment goals include symmetrical reconstruction of the lip with minimal scarring, provide adequate bulk for the reconstruction of vermillion, in toto removal of the lesion and prevent recurrence. The most common complication during surgical removal of these lesions includes blood loss and profuse bleeding which leads to poor visibility, increased operation time and postoperative requirement of blood transfusion. Therefore, the use of sclerosing agent is recommended before surgical removal. This may help in decreasing bleeding during surgery but not in all cases. CASE REPORT: Here, we report the use of Foley's catheter for the management of a high flow lesion of lower lip in a 12-year-old patient diagnosed with Mowat-Wilson syndrome. This technique helped in providing bloodless field which lead to minimal blood loss and good visibility intraoperatively.

Analysis of how the spatial and temporal patterns of fire and their bioclimatic and anthropogenic drivers vary across the Amazon rainforest in El Niño and non-El Niño years.

In the past two decades, Amazon rainforest countries (Brazil, Bolivia, Colombia, Ecuador, Guyana, Peru and Venezuela) have experienced a substantial increase in fire frequency due to the changes in the patterns of different anthropogenic and climatic drivers. This study examines how both fire dynamics and bioclimatic factors varied based on the season (wet season and dry season) El Niño years across the different countries and ecosystems within the Amazon rainforest. Data from publicly available databases on forest fires (Global Fire Atlas) and bioclimatic, topographic and anthropogenic variables were employed in the analysis. Linear mixed-effect models discovered that year type (El Niño vs. non-El Niño), seasonality (dry vs. wet), land cover and forest strata (in terms of canopy cover and intactness) and their interactions varied across the Amazonian countries (and the different ecosystems) under consideration. A machine learning model, Multivariate Adaptive Regression Spline (MARS), was utilized to determine the relative importance of climatic, topographic, forest structure and human modification variables on fire dynamics across wet and dry seasons, both in El Niño and non-El Niño years. The findings of this study make clear that declining precipitation and increased temperatures have strong impact on fire dynamics (size, duration, expansion and speed) for El Niño years. El Niño years also saw greater fire sizes and speeds as compared to non-El Niño years. Dense and relatively undisturbed forests were found to have the lowest fire activity and increased human impact on a landscape was associated with exacerbated fire dynamics, especially in the El Niño years. Additionally, the presence of grass-dominated ecosystems such as grasslands also acted as a driver of fire in both El Niño and non-El Niño years. Hence, from a conservation perspective, increased interventions during the El Niño periods should be considered.

Spatial-temporal variations in deforestation hotspots in Sumatra and Kalimantan from 2001-2018.

Tropical deforestation varies temporally and spatially which can inhibit the ability of existing protected areas to stem forest loss. Identifying the spatial-temporal distribution of deforestation and its concentration can help decision makers decide conservation priorities and leverage limited resources. This study assessed how topographic and anthropogenic variables affect deforestation patterns within and outside protected areas on the islands of Sumatra and Kalimantan in Indonesia. Emerging hotspot analysis (EHA) was used to evaluate spatial and temporal trends of forest loss on the Hansen annual forest loss data for these islands from 2001-2018. For the two islands, most hotspots were detected outside protected areas; those within protected areas were mainly concentrated at boundaries, where lower elevation/slope and high human pressure could be observed. New hotspots were identified within the three PAs in Sumatra, while three kinds of hotspots (consecutive, oscillating, and sporadic) were found in the two PAs of Kalimantan (Kutai and Teluk Kelumpang). Areas with high human pressure (average human footprint higher than 12) were covered by a high density of hotspots. The results identify specific areas where forest loss has emerged recently, which could indicate a conservation priority. It is suggested that new protected areas be established in locations showing intensifying and persistent hotspots-those where deforestation has occurred for ≥16 of 18 years of the study period.

Glandular Odontogenic Cyst of Anterior Maxilla - A Rare Case Report.

Rationale: Glandular odontogenic cyst (GOC) is a rare type of cyst of the jaws, which shares histological features with that of lateral periodontal cyst, botryoid cyst, radicular cyst with mucous metaplasia, or low-grade mucoepidermoid carcinoma, making it difficult to come to a definitive diagnosis. Not many cases of GOC have been reported in the literature. Patient Concerns: A 40-year-old male patient presented with pain in the upper right front tooth region. Mild extraoral swelling, obliterating the right nasolabial fold, was present. Tenderness on percussion was present in involved teeth. Diagnosis: On histopathological examination, GOC was confirmed featuring pseudostratified columnar cells with cilia, goblet cells, and mucous cells. Treatment: Complete enucleation of the cyst was done. Outcomes: No recurrence was noted on 1-year follow-up. Take-away Lessons: Due to high recurrence rate and aggressive nature of the cyst, it is important to plan proper management and long-term follow-up.

Midline Cleft of Lip With Preaxial Polydactyly in One Hand: A Possible New Variation of Thurston Syndrome?

Oral-facial-digital syndromes are a group of disorders with various subtypes. Type V, also known as the Thurston syndrome, is an autosomal recessive condition characterized by median cleft of the upper lip, postaxial polydactyly of hands and feet, and oral manifestations. Majority of the cases reported in the literature have been of Indian ethnic origin. We report a case of a possible variation of this syndrome in a 5-month-old Indian girl who presented with severe midline clefting, cleft palate, and atypically, preaxial polydactyly of the right hand.

Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia.

This study develops a modelling framework by utilizing multi-sensor imagery for classifying different forest and land use types in the Phnom Kulen National Park (PKNP) in Cambodia. Three remote sensing datasets (Landsat optical data, ALOS L-band data and LiDAR derived Canopy Height Model (CHM)) were used in conjunction with three different machine learning (ML) regression techniques (Support Vector Machines (SVM), Random Forests (RF) and Artificial Neural Networks (ANN)). These ML methods were implemented on (a) Landsat spectral data, (b) Landsat spectral band & ALOS backscatter data, and (c) Landsat spectral band, ALOS backscatter data, & LiDAR CHM data. The Landsat-ALOS combination produced more accurate classification results (95% overall accuracy with SVM) compared to Landsat-only bands for all ML models. Inclusion of LiDAR CHM (which is a proxy for vertical canopy heights) improved the overall accuracy to 98%. The research establishes that majority of PKNP is dominated by cashew plantations and the nearly intact forests are concentrated in the more inaccessible parts of the park. The findings demonstrate how different RS datasets can be used in conjunction with different ML models to map forests that had undergone varying levels of degradation and plantations.

Changes in mangrove community structures affecting sediment carbon content in Yingluo Bay of South China.

This study aimed to assess how sediment organic carbon (SOC) dynamics were affected by mangrove community structures. Sediment attributes and community structures of the Avicennia marina, Aegiceras corniculatum, Rhizophora stylosa, and Bruguiera gymnorrhiza communities were analyzed, based upon field investigation in Yingluo Bay of South China. Aboveground biomass (AGB), belowground biomass (BGB) and tree height obviously increased with the self-thinning process, while basal area significantly decreased. The self-thinning exponent was 1.382 for AGB and 1.254 for BGB, conforming to the 4/3 self-thinning rule. However, self-thinning exponent for basal area was only 0.4866. SOC content non-linearly increased with the increase of AGB, BGB, and tree height. Mangrove-derived carbon increased through in situ organic material inputs with mangrove growth. The negative correlation between tree density and SOC content was not in line with the previous studies for planted mangroves. SOC dynamics of natural mangroves may be partially different from planted mangroves.

Evaluating the ability of community-protected forests in Cambodia to prevent deforestation and degradation using temporal remote sensing data.

Community forests are known to play an important role in preserving forests in Cambodia, a country that has seen rapid deforestation in recent decades. The detailed evaluation of the ability of community-protected forests to retain forest cover and prevent degradation in Cambodia will help to guide future conservation management. In this study, a combination of remotely sensing data was used to compare the temporal variation in forest structure for six different community forests located in the Phnom Kulen National Park (PKNP) in Cambodia and to assess how these dynamics vary between community-protected forests and a wider study area. Medium-resolution Landsat, ALOS PALSAR data, and high-resolution LiDAR data were used to study the spatial distribution of forest degradation patterns and their impacts on above-ground biomass (AGB) changes. Analysis of the remotely sensing data acquired at different spatial resolutions revealed that between 2012 and 2015, the community forests had higher forest cover persistence and lower rates of forest cover loss compared to the entire study area. Furthermore, they faced lower encroachment from cashew plantations compared to the wider landscape. Four of the six community forests showed a recovery in canopy gap fractions and subsequently, an increase in the AGB stock. The levels of degradation decreased in forests that had an increase in AGB values. However, all community forests experienced an increase in understory damage as a result of selective tree removal, and the community forests with the sharpest increase in understory damage experienced AGB losses. This is the first time multitemporal high-resolution LiDAR data have been used to analyze the impact of human-induced forest degradation on forest structure and AGB. The findings of this work indicate that while community-protected forests can improve conservation outcomes to some extent, more interventions are needed to curb the illegal selective logging of valuable timber trees.

Spatial relationships between above-ground biomass and bird species biodiversity in Palawan, Philippines.

This study maps distribution and spatial congruence between Above-Ground Biomass (AGB) and species richness of IUCN listed conservation-dependent and endemic avian fauna in Palawan, Philippines. Grey Level Co-Occurrence Texture Matrices (GLCMs) extracted from Landsat and ALOS-PALSAR were used in conjunction with local field data to model and map local-scale field AGB using the Random Forest algorithm (r = 0.92 and RMSE = 31.33 Mg·ha-1). A support vector regression (SVR) model was used to identify the factors influencing variation in avian species richness at a 1km scale. AGB is one of the most important determinants of avian species richness for the study area. Topographic factors and anthropogenic factors such as distance from the roads were also found to strongly influence avian species richness. Hotspots of high AGB and high species richness concentration were mapped using hotspot analysis and the overlaps between areas of high AGB and avian species richness was calculated. Results show that the overlaps between areas of high AGB with high IUCN red listed avian species richness and endemic avian species richness were fairly limited at 13% and 8% at the 1-km scale. The overlap between 1) low AGB and low IUCN richness, and 2) low AGB and low endemic avian species richness was higher at 36% and 12% respectively. The enhanced capacity to spatially map the correlation between AGB and avian species richness distribution will further assist the conservation and protection of forest areas and threatened avian species.

Remote sensing-based landscape indicators for the evaluation of threatened-bird habitats in a tropical forest.

Avian species persistence in a forest patch is strongly related to the degree of isolation and size of a forest patch and the vegetation structure within a patch and its matrix are important predictors of bird habitat suitability. A combination of space-borne optical (Landsat), ALOS-PALSAR (radar), and airborne Light Detection and Ranging (LiDAR) data was used for assessing variation in forest structure across forest patches that had undergone different levels of forest degradation in a logged forest-agricultural landscape in Southern Laos. The efficacy of different remote sensing (RS) data sources in distinguishing forest patches that had different seizes, configurations, and vegetation structure was examined. These data were found to be sensitive to the varying levels of degradation of the different patch categories. Additionally, the role of local scale forest structure variables (characterized using the different RS data and patch area) and landscape variables (characterized by distance from different forest patches) in influencing habitat preferences of International Union for Conservation of Nature (IUCN) Red listed birds found in the study area was examined. A machine learning algorithm, MaxEnt, was used in conjunction with these data and field collected geographical locations of the avian species to identify the factors influencing habitat preference of the different bird species and their suitable habitats. Results show that distance from different forest patches played a more important role in influencing habitat suitability for the different avian species than local scale factors related to vegetation structure and health. In addition to distance from forest patches, LiDAR-derived forest structure and Landsat-derived spectral variables were important determinants of avian habitat preference. The models derived using MaxEnt were used to create an overall habitat suitability map (HSM) which mapped the most suitable habitat patches for sustaining all the avian species. This work also provides insight that retention of forest patches, including degraded and isolated forest patches in addition to large contiguous forest patches, can facilitate bird species retention within tropical agricultural landscapes. It also demonstrates the effective use of RS data in distinguishing between forests that have undergone varying levels of degradation and identifying the habitat preferences of different bird species. Practical conservation management planning endeavors can use such data for both landscape scale monitoring and habitat mapping.

Incorporating Canopy Cover for Airborne-Derived Assessments of Forest Biomass in the Tropical Forests of Cambodia.

This research examines the role of canopy cover in influencing above ground biomass (AGB) dynamics of an open canopied forest and evaluates the efficacy of individual-based and plot-scale height metrics in predicting AGB variation in the tropical forests of Angkor Thom, Cambodia. The AGB was modeled by including canopy cover from aerial imagery alongside with the two different canopy vertical height metrics derived from LiDAR; the plot average of maximum tree height (Max_CH) of individual trees, and the top of the canopy height (TCH). Two different statistical approaches, log-log ordinary least squares (OLS) and support vector regression (SVR), were used to model AGB variation in the study area. Ten different AGB models were developed using different combinations of airborne predictor variables. It was discovered that the inclusion of canopy cover estimates considerably improved the performance of AGB models for our study area. The most robust model was log-log OLS model comprising of canopy cover only (r = 0.87; RMSE = 42.8 Mg/ha). Other models that approximated field AGB closely included both Max_CH and canopy cover (r = 0.86, RMSE = 44.2 Mg/ha for SVR; and, r = 0.84, RMSE = 47.7 Mg/ha for log-log OLS). Hence, canopy cover should be included when modeling the AGB of open-canopied tropical forests.

Correction: Mapping and Characterizing Selected Canopy Tree Species at the Angkor World Heritage Site in Cambodia Using Aerial Data.

[This corrects the article DOI: 10.1371/journal.pone.0121558.].

Mapping and characterizing selected canopy tree species at the Angkor World Heritage site in Cambodia using aerial data.

At present, there is very limited information on the ecology, distribution, and structure of Cambodia's tree species to warrant suitable conservation measures. The aim of this study was to assess various methods of analysis of aerial imagery for characterization of the forest mensuration variables (i.e., tree height and crown width) of selected tree species found in the forested region around the temples of Angkor Thom, Cambodia. Object-based image analysis (OBIA) was used (using multiresolution segmentation) to delineate individual tree crowns from very-high-resolution (VHR) aerial imagery and light detection and ranging (LiDAR) data. Crown width and tree height values that were extracted using multiresolution segmentation showed a high level of congruence with field-measured values of the trees (Spearman's rho 0.782 and 0.589, respectively). Individual tree crowns that were delineated from aerial imagery using multiresolution segmentation had a high level of segmentation accuracy (69.22%), whereas tree crowns delineated using watershed segmentation underestimated the field-measured tree crown widths. Both spectral angle mapper (SAM) and maximum likelihood (ML) classifications were applied to the aerial imagery for mapping of selected tree species. The latter was found to be more suitable for tree species classification. Individual tree species were identified with high accuracy. Inclusion of textural information further improved species identification, albeit marginally. Our findings suggest that VHR aerial imagery, in conjunction with OBIA-based segmentation methods (such as multiresolution segmentation) and supervised classification techniques are useful for tree species mapping and for studies of the forest mensuration variables.