title: [Information modeling in the analysis of authors' abstracts of dissertations on radiotherapy].
abstract: The information simulating method was used to analyse 62 authors' abstracts of dissertations (14 of them were doctoral theses) in radiation therapy published over the last 8 years. The objects of radiation therapy were tumorous as well as nontumorous diseases (90 and 10% respectively). The problems of radiation therapy in G. I. T. pathology, particularly in esophageal and rectal cancer, were considered in 35% of the dissertations devoted to radiation therapy of cancer patients. A lot of dissertations were also concerned with the therapy of lung, cervical and breast cancer and Hodgkin's disease. The authors' attention was directed, in particular, to a study of intensive preoperative irradiation including that of G. I. T. and lung tumors. Most of the dissertations were concerned with the use of different types of gamma-therapy. Betatron therapy was employed to advantage for cervical and lung cancer. Some papers represented the results of randomized studies that undoubtedly raise the reliability of the obtained data. The correlation of the main trends in radiation therapy revealed by the information simulating methods with reviews over the recent years, provides an opportunity to recommend this method to research workers for the classification of literature sources and research design.
mesh_terms: D004212:Academic Dissertations as Topic; D002986:Clinical Trials as Topic; D006801:Humans; D008962:Models, Theoretical; D009369:Neoplasms / Q000532:radiotherapy / Q000601:surgery; D011300:Preoperative Care; D011878:Radiotherapy; D012107:Research Design
vernacular_title: Informativnoe modelirovanie pri analize avtoreferatov dissertatsii po luchevoĭ terapii.