Investigaciones sobre la detección, difusión natural y control del enrollamiento clorótico del albaricoquero

Se ha aplicado la técnica de la tinción con el fluorocromo DAPI (4'-6- diamidino- 2-fenilindol) a la detección de organismos del tipo micoplasma («mycoplasma-like organisms» o MLOs) y al seguimiento, a lo largo de un año, de la distribución de MLOs en albaricoqueros enfermos de enrollamiento clorótico («apricot chloroiic leaf roll» o ACLR). Los resultados obtenidos confirman la poca fiabilidad de esta técnica para la detección precoz de micoplasmosis en árboles frutales, a causa de la baja concentración e irregular distribución de MLOs dentro de los árboles enfermos. Én cambio, la tinción con DAPI es útil para la observación a lo largo del año de la distribución de MLOs en diferentes partes de los árboles infectados por ACLR. A lo largo del invierno y la primavera, los MLOs fueron detectados solamente en las raíces y en los ramos formados el año anterior. La presencia de MLOs en los nuevos brotes no pudo ser detectada hasta el principio del verano. En trabajos previos se observaron grandes variaciones en la difusión natural del ACLR, incluso entre áreas próximas de la misma provincia de Valencia. Las investigaciones efectuadas ahora sobre las poblaciones de cicadélidos han mostrado que tanto el número de especies como el de individuos capturados son superiores en un área con una importante difusión natural del ACLR que en otra zona donde la difusión de la enfermedad es prácticamente nula. Las diferencias entre los cicadélidos capturados en estas dos áreas han proporcionado indicaciones acerca de las especies que tienen más probabilidades de ser vectores del ACLR. Se ha estudiado también, durante tres años, la influencia de tratamientos insecticidas y herbicidas sobre la difusión natural del ACLR en una plantación de albaricoqueros. En la mitad de la plantación que se dejó sin tratar, el número de cicadélidos capturados, así como el de nuevos árboles con síntomas de ACLR fue mayor que en la parte de la plantación que había sido tratada.

Multiple Myeloma with primary manifestation in the mandible: a case report

Multiple myeloma is a monoclonal malignant proliferation of plasma cells that causes osteolytic lesions in the vertebrae, ribs, pelvic bone, skull and jaw. We report on a clinical case of an 81-year-old male patient who presented with a tumefaction in the mandibular symphysis region, which had evolved over the previous seven months. In the radiographic examination, an extensive osteolytic lesion was observed in the region mentioned above. An incisional biopsy was performed and a histopathological study revealed a malignant hematopoietic neoplasm formed by plasmacytoid cells. During the bone gammagraphy a dissemination of the disease was detected in the scapula, clavicle and ribs. The diagnosis was multiple myeloma. Knowledge about the maxillofacial manifestations of multiple myeloma is important for the early diagnosis of the disease, since its primary form can manifest itself in the jaw. In the clinical case presented here, we highlight the interdisciplinarity needed to obtain a diagnosis and treatment of multiple myeloma

DWI and complex brain network analysis predicts vascular cognitive impairment in spontaneous hypertensive rats undergoing executive function tests

The identification of biomarkers of vascular cognitive impairment is urgent for its early diagnosis. The aim of this study was to detect and monitor changes in brain structure and connectivity, and to correlate them with the decline in executive function. We examined the feasibility of early diagnostic magnetic resonance imaging (MRI) to predict cognitive impairment before onset in an animal model of chronic hypertension: Spontaneously Hypertensive Rats. Cognitive performance was tested in an operant conditioning paradigm that evaluated learning, memory, and behavioral flexibility skills. Behavioral tests were coupled with longitudinal diffusion weighted imaging acquired with 126 diffusion gradient directions and 0.3 mm(3) isometric resolution at 10, 14, 18, 22, 26, and 40 weeks after birth. Diffusion weighted imaging was analyzed in two different ways, by regional characterization of diffusion tensor imaging (DTI) indices, and by assessing changes in structural brain network organization based on Q-Ball tractography. Already at the first evaluated times, DTI scalar maps revealed significant differences in many regions, suggesting loss of integrity in white and gray matter of spontaneously hypertensive rats when compared to normotensive control rats. In addition, graph theory analysis of the structural brain network demonstrated a significant decrease of hierarchical modularity, global and local efficacy, with predictive value as shown by regional three-fold cross validation study. Moreover, these decreases were significantly correlated with the behavioral performance deficits observed at subsequent time points, suggesting that the diffusion weighted imaging and connectivity studies can unravel neuroimaging alterations even overt signs of cognitive impairment become apparent.

Effectiveness of early detection on breast cancer mortality reduction in Catalonia (Spain)

Background: At present, it is complicated to use screening trials to determine the optimal age intervals and periodicities of breast cancer early detection. Mathematical models are an alternative that has been widely used. The aim of this study was to estimate the effect of different breast cancer early detection strategies in Catalonia (Spain), in terms of breast cancer mortality reduction (MR) and years of life gained (YLG), using the stochastic models developed by Lee and Zelen (LZ). Methods: We used the LZ model to estimate the cumulative probability of death for a cohort exposed to different screening strategies after T years of follow-up. We also obtained the cumulative probability of death for a cohort with no screening. These probabilities were used to estimate the possible breast cancer MR and YLG by age, period and cohort of birth. The inputs of the model were: incidence of, mortality from and survival after breast cancer, mortality from other causes, distribution of breast cancer stages at diagnosis and sensitivity of mammography. The outputs were relative breast cancer MR and YLG. Results: Relative breast cancer MR varied from 20% for biennial exams in the 50 to 69 age interval to 30% for annual exams in the 40 to 74 age interval. When strategies differ in periodicity but not in the age interval of exams, biennial screening achieved almost 80% of the annual screening MR. In contrast to MR, the effect on YLG of extending screening from 69 to 74 years of age was smaller than the effect of extending the screening from 50 to 45 or 40 years. Conclusion: In this study we have obtained a measure of the effect of breast cancer screening in terms of mortality and years of life gained. The Lee and Zelen mathematical models have been very useful for assessing the impact of different modalities of early detection on MR and YLG in Catalonia (Spain).

Microcalcification evaluation in computer assisted diagnosis for digital mammography

In order to develop applications for z;isual interpretation of medical images, the early detection and evaluation of microcalcifications in digital mammograms is verg important since their presence is oftenassociated with a high incidence of breast cancers. Accurate classification into benign and malignant groups would help improve diagnostic sensitivity as well as reduce the number of unnecessa y biopsies. The challenge here is the selection of the useful features to distinguish benign from malignant micro calcifications. Our purpose in this work is to analyse a microcalcification evaluation method based on a set of shapebased features extracted from the digitised mammography. The segmentation of the microcalcificationsis performed using a fixed-tolerance region growing method to extract boundaries of calcifications with manually selected seed pixels. Taking into account that shapes and sizes of clustered microcalcificationshave been associated with a high risk of carcinoma based on digerent subjective measures, such as whether or not the calcifications are irregular, linear, vermiform, branched, rounded or ring like, our efforts were addressed to obtain a feature set related to the shape. The identification of the pammeters concerning the malignant character of the microcalcifications was performed on a set of 146 mammograms with their real diagnosis known in advance from biopsies. This allowed identifying the following shape-based parameters as the relevant ones: Number of clusters, Number of holes, Area, Feret elongation, Roughness, and Elongation. Further experiments on a set of 70 new mammogmms showed that the performance of the classification scheme is close to the mean performance of three expert radiologists, which allows to consider the proposed method for assisting the diagnosis and encourages to continue the investigation in the senseof adding new features not only related to the shape