PubMed Health⌕ Search

Biomedical subjects

J M Iñesta

Publications and source records attributed to J M Iñesta.

2 recordsLinked to original sources

Prognostic factors in endometrial carcinoma: risk groups and adjuvant radiotherapy.

Prognostic factors for disease-free survival in patients with endometrial carcinoma have been retrospectively assessed in 611 cases diagnosed, treated and followed at our institution between 1971 and 1990. Age, symptoms, comorbidity, FIGO clinical stage, and hysterectomy, as well as size and location of the tumor, histologic type, FIGO grade, myometrial invasion, lympho-vascular invasion, and final surgical stage have all been evaluated by univariate and multivariate methods. A mathematical predictive model has been applied to define risk groups, and the applied adjuvant treatments have been evaluated according to these groups. One hundred and thirty-one patients were not treated primarily with surgery, and the actuarial 5 and 10-year disease-free survival was 51.6% and 34.7% respectively. Only clinical stage (FIGO 1971) and modality of radiotherapy were significant prognostic factors. For the 480 patients treated primarily by surgery, independent prognostic factors for 5 and 10-year disease-free survival in multivariate analysis were extrauterine spread, absence of diagnostic comorbidity, FIGO grades 2-3, lympho-vascular invasion, age > 65 years and cervical extension. Five and 10-year disease-free survival was 81.5% and 73.4% respectively. Three risk groups were obtained, whose survival was not affected by the adjuvant treatments applied.

Adenocarcinoma, Clear Cell↗

Software tools for using a personal computer as a timer device to assess human kinematic performance: a case study.

Frequently, the assessment of the physical condition of a sportsman depends on the evaluation of different tests, based on biomechanical performance. The data acquisition in these tests is usually hand made, because its automatization is difficult. But when movements are constrained by means of their specific nature, simple tools can be used to achieve that data acquisition. In this paper, a simple and inexpensive system is described to make use of the timing capabilities of a personal computer (PC) to use it as a timer, with applications in biomechanics and sport training. The data acquisition method is based on a PC that, using a specific programming dealing with event timing, gets signals through the printer port, from a receptor device that detects cuts in an infrared cell beam. Low level procedures are provided that can be used in higher level algorithmic designs, problem dependent, to build specific systems. The case of the evaluation of the Wingate Anaerobic Test is discussed.

Algorithms↗