Effects of deep learning- versus atlas-based automatic contouring methods on the contouring of organs-at-risk in rectal cancer / 中国基层医药

Objective:To investigate the effects of deep learning-based AiContour ??versus atlas-based Raystation ?? automatic contouring methods on the contouring of organs-at-risk on CT images of patients with rectal cancer who undergo radiotherapy, providing evidence for clinical application. Methods:Fifty patients with rectal cancer who received treatment during January to June 2020 in Zhejiang Provincial People's Hospital (Affiliated Hospital of Hangzhou Medical College) were included in this study. The CT images from 20 patients with rectal cancer that had been contoured by experienced radiotherapist were selected as target images and automatically contoured using the data template library of AiContour ?? and Raystation ?? automatic contouring methods. Hausdorff distance, mean distance to agreement, dice similarity coefficient, Jaccard coefficient were used to quantitatively evaluate the accuracy of the volume of contour of organs-at-risk automatically sketched by the two methods. Results:There was no significant difference in Hausdorff distance in left femoral head [(6.81 ± 2.66) vs. (7.24 ± 2.10)], right femoral head [(7.38 ± 3.91) vs. (8.14 ± 3.71)], pelvis [(24.00 ± 9.01) vs. (24.66 ± 9.67)] between AiContour ?? and Raystation ?? automatic contouring methods ( tleft femoral head = -0.831, tright femoral head = -0.821, tpelvis = -0.357, all P > 0.05). Significant differences were observed in mean distance to agreement, dice similarity coefficient and Jaccard coefficient of organs-at-risk (all P < 0.05). The mean values of dice similarity coefficient automatically sketched by AiContour ?? method were > 0.7. The DSC of left kidney, right kidney, rectum and bladder automatically sketched by Raystation ?? method were < 0.7, and the dice similarity coefficient values of other organs-at-risk automatically sketched by Raystation ?? method were > 0.7. In addition, Hausdorff distance, mean distance to agreement and Jaccard coefficient values of organs-at-risk automatically sketched by AiContour ?? method were superior to those automatically sketched by Raystation ??. Conclusion:After slight modification, the organs-at-risk automatically sketched by AiContour ?? and Raystation ?? methods can meet clinical requirement. The contouring effects provided byAiContour ?? method were superior to those provided by Raystation ?? method.

Quantitative ethnopharmacological profiling of medicinal shrubs used by indigenous communities of Rawalakot, District Poonch, Azad Jammu and Kashmir, Pakistan

Abstract This paper presents the first comprehensive report on traditional uses of medicinal shrubs of Rawalakot city, district Poonch, Azad Jammu and Kashmir, Pakistan. Ethobotanical data obtained from 120 informants were analyzed by relative frequency citation, use value, family use value, informant consensus factor, fidelity level and Jaccard index. In total, 41 shrubs belonging to 24 families and 34 genera were documented. Rosaceae was reported the most dominant family in the area (six species) and Berberidaceae showed maximum family use value (0.68). Leaves (35%) and fruits (33%) were the most commonly used plant parts and most of the medicines were prepared in the form of decoction. The high informant consensus factor value (0.94) was recorded for diabetic disease category. Medicinal plants with high fidelity level values (100% each) were Berberis lycium, Cydonia oblanga, Ricinus communis, Ziziphus jujuba and Nerium oleander. Berberis lycium was the most significant shrub in the area with highest use value (0.68). Relative frequency citation value was maximum for Rubus ellipticus (0.30), Nerium oleander and Indigofera heterantha (0.10 each). Percentage of similar plant uses ranged from 21.05 to 0.62% and dissimilarity percentage ranged from 32.50 to 0.66%. Out of the 41 shrub species, six were reported with new therapeutic uses and may represent new bioresources. These were Debregeasia salicifolia (diabetes), Desmodium elegans (anti-cancerous), Hibiscus rosa-sinensis (jaundice), Hypericum oblongifolium (arthritis), Sarcococca saligna (tuberculosis), Rubus niveus (chronic cough) and Otostegia limbata (renal disorders). We suggest that species reported with high use value should be involved in cultivation and agricultural practices for their sustainable use and those reported with new therapeutic uses should be employed in further biotechnological, pharmacological and clinical studies in order to validate their traditional uses.

Diversity and abundance of orchid bees (Hymenoptera: Apidae, Euglossini) in a tropical rainforest succession / Composicion de abejas euglossinas (Hymenoptera: Apidae, Euglossini) en una sucesión de selva tropical

Euglossine bee males are easily lured to chemical baits imitating natural fragrances gathered by bees, providing a widely applied measure for estimating the diversity and abundance of euglossines. In here, I report the composition of euglossine bees in three lowland rainforest habitats of Peru, a primary old forest, a reforested and managed forest, and a very disturbed forest. A total of 2,072 males of euglossine were collected, belonging to 33 species and four genera. Although a comparable diversity relative to other studies from the Amazonian region was found, no significant differences among the sampled areas were detected. Perhaps, the short time and low intensity surveys here used (< 3 months) were not good enough indicators of forest disturbance without additional data. Compared to other major studies on the euglossine bee fauna, Loreto is most similar to the species assemblage reported from lowland rainforest in Brazil (Manaus), central Peru (Panguana) and southern Peru (Tambopata).

Las abejas euglossinas macho, son fácilmente atraídas por los cebos químicos que imitan las fragancias naturales recolectadas por las abejas, proporcionando así una medida de la diversidad y abundancia extensamente aplicada para estas abejas. En este estudio documento la composicion de las abejas euglossinas en tres hábitats de la selva baja del Perú (Loreto), tales como un bosque primario, un bosque reforestado y manejado, y un bosque muy deforestado. A partir de 2.072 abejas capturadas perteneciendo a 33 especies y cuatro géneros, encontré una diversidad comparable a otros estudios de la región Amazónica, pero no encontré ninguna diferencia significativa entre los hábitats muestreados. Quizás por que los muestreos de las abejas euglossinas de corta duración (< 3 meses), tal como este caso, no son buenos indicadores del estado del bosque sin datos adicionales. Comparado a otros estudios de la fauna de las abejas euglossinas, Loreto es el más similar en especies a las especies reportadas de Brasil (Manaus), de Perú central (Panguana) y luego de Perú meridional (Tambopata).