Efeitos auditivos em doentes com tumores de cabeça e pescoço e tumores cerebrais sujeitos a Radioterapia e terapia combinada

Introdução: A capacidade auditiva dos doentes com neoplasias de cabeça e pescoço e tumores cerebrais pode ser comprometida com os tratamentos antineoplásicos realizados. A Quimioterapia com cisplatina pode provocar perda auditiva de condução ou neurossensorial, podendo agravar-se quando combinada com Radioterapia (RT). O objectivo deste trabalho foi a análise da relação entre a Terapia Combinada (Cisplatina+RT) e a Radioterapia isolada, e os seus efeitos adversos sobre a audição tendo em consideração a inclusão das estruturas do ouvido no campo de tratamento de RT. Métodos: Foram seguidos 10 doentes submetidos a Terapia Combinada (grupo TC) e 11 a Radioterapia isolada (grupo RT). A avaliação audiológica realizou-se antes do inicio (M1), no fim (M2) e um mês após (M3) o termo dos tratamentos e incluiu anamnese audiológica, otoscopia e audiometria tonal. Resultados: No grupo TC, 94,4% dos doentes apresentaram uma relação directamente proporcional entre a dose de radiação na cóclea e a perda auditiva. Esta relação só se verificou em 31% dos doentes do grupo RT, tendo-se verificado diferenças significativas entre grupos (p <0,001). Conclusões: Verificou-se maior incidência da perda auditiva no grupo TC relativamente ao grupo RT. Sugere-se um melhor planeamento do tratamento de RT, reduz - indo a dose à cóclea com o objectivo de minimizar a perda auditiva neurossensorial irreversível, sobretudo quando são utilizadas as duas modalidades de tratamento.

Predicting Xerostomia induced by IMRT treatments: A logistic regression approach

Radiotherapy is one of the main treatments used against cancer. Radiotherapy uses radiation to destroy cancerous cells trying, at the same time, to minimize the damages in healthy tissues. The planning of a radiotherapy treatment is patient dependent, resulting in a lengthy trial and error procedure until a treatment complying as most as possible with the medical prescription is found. Intensity Modulated Radiation Therapy (IMRT) is one technique of radiation treatment that allows the achievement of a high degree of conformity between the area to be treated and the dose absorbed by healthy tissues. Nevertheless, it is still not possible to eliminate completely the potential treatments’ side-effects. In this retrospective study we use the clinical data from patients with head-and-neck cancer treated at the Portuguese Institute of Oncology of Coimbra and explore the possibility of classifying new and untreated patients according to the probability of xerostomia 12 months after the beginning of IMRT treatments by using a logistic regression approach. The results obtained show that the classifier presents a high discriminative ability in predicting the binary response “at risk for xerostomia at 12 months”

A Clinical Support System Based on Quality of Life Estimation

Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt's sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.

Analysis of the mismatch between school furniture and children

The characteristics of school furniture are strongly associated with back and neck pain, referred by school-aged children. In Portugal, about 60% of the adolescents involved in a recent study reported having felt back pain at least once in the last three months. The aim of this study was to compare furniture sizes of the 2 types indicated for primary schools, within 9 schools, with the anthropometric characteristics of Portuguese students, in order to evaluate the mismatch between them. The sample consisted of 432 volunteer students. Regarding the methodology, 5 anthropometric measures were gathered, as well as 5 dimensions from the school furniture. For the evaluation of classroom furniture, a (mis)match criterion equation was defined. Results indicated that there is a significant mismatch between furniture dimensions and the anthropometric characteristics of the students.