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Objective:To evaluate the effectiveness and feasibility of 3D ResSE-Unet-based intelligent delineation of clinical target volume (CTV) in postoperative adjuvant radiotherapy for breast cancer.Methods:A total of 974 cases of breast cancer treated in the Cancer Diagnosis and Treatment Center of the Fourth Affiliated Hospital of Guangxi Medical University from September 2018 to June 2022 were enrolled in this study, including 614 cases receiving total mastectomy and 360 cases treated with breast-conserving surgery. They were divided into a training set, a validation set, and a testing set. The training set consisted of 874 cases and was used to build a model of 3D ResSE-Unet-based intelligent CTV delineation. The validation set comprised 40 cases and was used to evaluate the feasibility and effectiveness of the clinical application of AI-based CTV design in the radiotherapy for breast cancer. The testing set was composed of 60 cases and was used to test the accuracy of intelligent CTV. The Wilcoxon rank test was used to compare the Dice similarity coefficient (DSC), 95% Hausdorff distance (HD95), and average surface distance (ASD) obtained using the intelligent delineation model.Results:The intelligent delineation model showed high precision. The CTV of cases treated with total mastectomy (CTV cw) and the CTV of cases treated with breast-conserving surgery (CTV b) had DSCs greater than 0.80 and greater than 0.88, respectively. Therefore, compared with CTV cw, CTV b had a higher DSC (0.91 ± 0.03 vs.0.83 ± 0.05, t = 7.11, P < 0.05). Both CTV cw and CTV b had lower HD 95 [(7.56 ± 3.42) mm vs.(8.77 ± 5.89) mm] and ASD [(1.85 ± 0.71) mm vs.(1.86 ± 0.83)mm], without statistically significant difference ( P > 0.05). The left/right supraclavicular and infraclavicular CTV (CTV2) had DSCs greater than 0.8. CTV2 also had low average HD95 and ASD, without statistically significant difference ( P > 0.05). Conclusions:The 3D ResSE-Unet-based intelligent CTV delineation has better consistency and feasibility in postoperative adjuvant radiotherapy for breast cancer, especially the CTVs after breast-conserving surgery.
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OBJECTIVE@#To explore the feasibility of using the bidirectional local distance based medical similarity index (MSI) to evaluate automatic segmentation on medical images.@*METHODS@#Taking the intermediate risk clinical target volume for nasopharyngeal carcinoma manually segmented by an experience radiation oncologist as region of interest, using Atlas-based and deep-learning-based methods to obtain automatic segmentation respectively, and calculated multiple MSI and Dice similarity coefficient (DSC) between manual segmentation and automatic segmentation. Then the difference between MSI and DSC was comparatively analyzed.@*RESULTS@#DSC values for Atlas-based and deep-learning-based automatic segmentation were 0.73 and 0.84 respectively. MSI values for them varied between 0.29~0.78 and 0.44~0.91 under different inside-outside-level.@*CONCLUSIONS@#It is feasible to use MSI to evaluate the results of automatic segmentation. By setting the penalty coefficient, it can reflect phenomena such as under-delineation and over-delineation, and improve the sensitivity of medical image contour similarity evaluation.
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Estudios de Factibilidad , Planificación de la Radioterapia Asistida por ComputadorRESUMEN
A total of 58 varieties in Lonicera japonica from 20 producing areas were amplified by 22 pairs of SSR primers. Seven pairs of polymorphic primers were screened and their primers were used to establish DNA identity card and analyze genetic similarity.All the 58 varieties could be distinguished each other by the DNA identity card constituted by 7 pairs of core SSR primers.The genetic similarity coefficients of 58 varieties ranged from 0.366 7 to 0.916 7 by using PopGene32（vesion1.32）. Furthermore, all the varieties consistency were classified into 4 groups and constructed an evaluation table according to cluster analysis by an un-weighted pair-group average method with arithmetic mean. As expected, the results of cluster and evaluation table reflected 58 varieties relatives, which provide reference information for the selection of fine germplasm of L. japonica and the theoretical basis for the study of Dao-di herbs.
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Objective To perform a preclinical test of a delineation software based on atlas-based auto-segmentation (ABAS),to evaluate its accuracy in the delineation of organs at risk (OARs) in radiotherapy planning for nasopharyngeal carcinoma (NPC),and to provide a basis for its clinical application.Methods Using OARs manually contoured by physicians on planning-CT images of 22 patients with NPC as the standard,the automatic delineation using two different algorithms (general and head/neck) of the ABAS software were applied to the following tests:(1) to evaluate the restoration of the atlas by the software,automatic delineation was performed on copied images from each patient using the contours of OARs manually delineated on the original images as atlases;(2) to evaluate the accuracy of automatic delineation on images from various patients using a single atlas,the contours manually delineated on images from one patients were used as atlases for automatic delineation of OARs on images from other patients.Dice similarity coefficient (DSC),volume difference (Vdiff),correlation between the DSC and the volume of OARs,and efficiency difference between manual delineation and automatic delineation plus manual modification were used as indices for evaluation.Wilcoxon signed rank test and Spearman correlation analysis were used.Results The head/neck algorithm had superior restoration of the atlas over the general algorithm.The DSC was positively correlated with the volume of OARs and was higher than 0.8 for OARs larger than 1 cc in volume in the restoration test.For automatic delineation with the head/neck algorithm using a single atlas,the mean DSC and Vdiff were 0.81-0.90 and 2.73％-16.02％,respectively,for the brain stem,temporal lobes,parotids,and mandible,while the mean DSC was 0.45-0.49 for the temporomandibular joint and optic chiasm.Compared with manual delineation,automatic delineation plus manual modification saved 68％ of the time.Conclusions A preclinical test is able to determine the accuracy and conditions of the ABAS software in specific clinical application.The tested software can help to improve the efficiency of OAR delineation in radiotherapy planning for NPC.However,it is not suitable for delineation of OAR with a relatively small volume.
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Butterflies constitute an useful group to investigate biodiversity patterns in specific geographic areas. The aim of this study was to describe the altitudinal patterns distribution and to recognize the main grouping factors of these families. We conducted a comparative study between the butterfly fauna (Papilionidae, Pieridae and Nymphalidae) of five Mexican mountain ranges (Sierra de Manantlán, Sierra de Atoyac de Álvarez, Loxicha Region, Teocelo-Xalapa and Sierra de Juárez), that included 34 sites of altitudinal ranges from 100 to 2 820m. Data was obtained from the Zoology Museum of the National University of Mexico, and comprised more than 60 000 butterfly records of 398 taxa (subspecies level) proceeding during the last 35 years. Fauna similarity between localities were analyzed using a cluster analysis by Sorensen similarity coefficient. Species richness showed a general tendency to decrease with altitude; the main difference was found between the locality with higher altitude and the rest of the sites. The principal factors affecting the identified clusters followed this order: the location in Pacific or Atlantic slope, and location on a particular mountain range. Three altitudinal levels (low elevations, up to 1 200m; intermediate elevations, from 1 200 to 1 800m; and high elevations, from 1 800 to 2 500m) were described in accordance to their main characteristic taxa. While Neartic elements were common in the highest altitudinal floor, Neotropical taxa were common in the lowest one. It was more difficult to characterize the intermediate level in which a high number of localities were clustered; this intermediate level was characterized by the presence of some endemic species. The results suggest that historical factors are preeminent in butterfly fauna composition in these areas. Future studies may include other Mexican mountain areas to obtain more information on the different factors (latitude, altitude, slope) influencing biodiversity patterns.
Las mariposas diurnas integran uno de los grupos más utilizados para el reconocimiento y monitoreo de la diversidad de una biota. Se realizó un estudio comparativo de las faunas de mariposas de las familias Papilionidae, Pieridae y Nymphalidae de cinco áreas montañosas de México, situadas en las vertientes Atlántico y Pacífico: las sierras de Atoyac de Álvarez, Manantlán, Juárez, y las áreas de Teocelo-Xalapa y la región Loxicha, con un total de 34 localidades representativas de los cinco transectos altitudinales, que comprenden de los 300 a los 3 100m de altitud. Se observó una tendencia general a la disminución de la riqueza con la altitud. Se analizó la similitud entre el total de localidades mediante el índice de Sørensen, diferenciándose en primer lugar las dos estaciones de elevaciones superiores (sobre los 2 500msnm), caracterizadas por pobres lepidóptero-faunas. En el grupo principal (32 sitios) las principales agrupaciones se dan de acuerdo, en primer lugar, a la pertenencia a la vertiente pacífica o atlántica, evento más histórico que ecológico y, después, las estaciones de una misma sierra o según tres diferentes pisos altitudinales, que se caracterizan de acuerdo con los táxones predominantes.
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Animales , Biodiversidad , Mariposas Diurnas/clasificación , Altitud , México , Densidad de PoblaciónRESUMEN
Objective: In order to gain genetic polymorphism among different species, the genetic diversity of the plants in Fritillaria L. from Xinjiang was analyzed. Methods: Agarose gel electrophoresis and inter-simple sequence repeat (ISSR) analysis were used to investigate the genetic diversity and genetic relationship of the samples in Fritillaria L. from Xinjiang. Results: Total 185 bands were amplified and detected by 2% agarose gel electrophoresis, including 181 polymorphic bands with the percentage of polymorphic bands (PPB) at 97.84%. Twelve ISSR primers could significantly separate different species of plants in Fritillaria L. from Xinjiang with genetic similarity coefficient (GS) ranged from 0.37 to 0.80 revealed by UPGMA analysis. Ten species in Fritillaria L. from Xinjiang were clustered into four groups using 0.50 as the lowest GS. Conclusion: The results indicate that ISSR technique is useful in revealing the genetic diversity and genetic relationship among 10 species in Fritillaria L., which could provide a scientific basis for the resource collection and identification of the species in Fritillaria L. from Xinjiang.
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Objective: To analyze the genetic relationship among the medicinal plants of Potentilla L. Methods: Six species of germplasm resources in Potentilla L. were analyzed by ISSR molecular markers. To make up the systematic diagram of genetic relationship by Popgene 1.32 software, cluster by UPGMA method, and establish the dendrogram. Results: A total of 105 ISSR bands were scored for 11 primers, among which 89 were polymorphic bands. The average percentage of polymorphic bands was 84.76%. Genetic similarity coefficient changed from 0.4476 to 0.7905. Conclusion: By cluster analysis, it shows that some of the medicinal plants in Potentilla L. from the same region are in the same group and demonstrates the rule of geographical distribution in the tested materials. This study will provide the foundation for identification and development of medicinal plants in Potentilla L., and guide collection and evaluation of germplasm resources.
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To assess the extent of genetic diversity within and between three populations of the catfish, Clarias batrachus, an analysis for random amplified polymorphic DNA (RAPD) variations were carried out. Five out of ten random primers produced constant and reproducible pattern of RAPD products. These five primers produced 72 scorable DNA fragments out of which 68 (86.66%) were polymorphic. Populations showed significant differences in their degree of polymorphism. Differences however, were observed in the primers in producing similarities in the populations.
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Objective To investigate the effects of different chromatogram fingerprints analysis methods on the quality evaluation of Chinese herbal medicine. Methods With the chromatogram fingerprints of a Chinese patent medicine in different batches as the analytic object, the quality evaluation of three methods such as peak area ratio,peak area quantification and similarity coefficient were investigated. Results The method of peak area ratio has the highest accuracy rate and the precise rate for quality evaluation, and similarity coefficient and peak area quantification came next. The result of peak area quantification was similar to that by current evaluation method. Conclusion Different chromatogram fingerprints analysis methods would result in a great difference in the quality evaluation of Chinese herbal medicine.