[Radiotherapy and implantable medical device: example of infusion pumps]

Indication for radiotherapy is often questioned for patients equipped with implantable medical devices like infusion pumps as the radiation tolerance is poor or not known. We report here on the case of a patient who we treated with pelvic radiotherapy for cervical cancer and who had an infusion pump in iliac fossa. We conducted a series of tests on five identical pumps that insured that the treatment protocol is harmless to the implanted device.

Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images

Monte Carlo simulations of emission tomography have proven useful to assist detector design and optimize acquisition and processing protocols. The more realistic the simulations, the more straightforward the extrapolation of conclusions to clinical situations. In emission tomography, accurate numerical models of tomographs have been described and well validated under specific operating conditions (collimator, radionuclide, acquisition parameters, count rates, etc). When using these models under these operating conditions, the realism of simulations mostly depends on the activity distribution used as an input for the simulations. It has been proposed to derive the input activity distribution directly from reconstructed clinical images, so as to properly model the heterogeneity of the activity distribution between and within organs. However, reconstructed patient images include noise and have limited spatial resolution. In this study, we analyse the properties of the simulated images as a function of the properties of the reconstructed images used to define the input activity distributions in (18)F-FDG PET and (131)I SPECT simulations. The propagation through the simulation/reconstruction process of the noise and spatial resolution in the input activity distribution was studied using simulations. We found that the noise properties of the images reconstructed from the simulated data were almost independent of the noise in the input activity distribution. The spatial resolution in the images reconstructed from the simulations was slightly poorer than that in the input activity distribution. However, using high-noise but high-resolution patient images as an input activity distribution yielded reconstructed images that could not be distinguished from clinical images. These findings were confirmed by simulated highly realistic (131)I SPECT and (18)F-FDG PET images from patient data. In conclusion, we demonstrated that (131)I SPECT and (18)F-FDG PET images indistinguishable from real scans can be simulated using activity maps with spatial resolution higher than that used in routine clinical applications.

MÉTODOS DIAGNÓSTICOS PARA OS PATÓGENOS ALIMENTARES: CAMPYLOBACTER SP., SALMONELLA SP. E LISTERIA MONOCYTOGENES

RESUMO Os métodos moleculares de detecção rápida e eficaz de lotes de aves infectados por bactérias como Salmonella sp. Campylobacter sp. e Listeria monocytogenes são importantes para reduzir a frequência da transmissão destes patógenos entre os lotes de aves e aos consumidores de produtos de origem animal. Recentemente, as técnicas de biologia molecular, em especial a reação em cadeia polimerase, que permite a amplificação específica de segmentos de DNA, têm possibilitado novos rumos na identificação de bactérias supracitadas, reduzindo o tempo de cultivo e ampliando a confiabilidade das provas diagnósticas. A utilização da biologia molecular por laboratórios de diagnóstico humano e animal, assim como em programas de controle de qualidade de alimentos e produtos de origem animal, já é realidade e tende a se expandir rapidamente. O objetivo deste artigo é fazer uma breve revisão dos testes diagnósticos convencionais e moleculares para identificar Campylobacter sp., Salmonella sp. e Listeria monocytogenes. Concluindo, o diagnóstico molecular é um campo em avanço científico e tecnológico, no qual novas técnicas moleculares estão em desenvolvimento para o diagnóstico de bactérias em alimentos.