Renal cell carcinoma: histological classification and correlation with imaging findings

AbstractRenal cell carcinoma (RCC) is the seventh most common histological type of cancer in the Western world and has shown a sustained increase in its prevalence. The histological classification of RCCs is of utmost importance, considering the significant prognostic and therapeutic implications of its histological subtypes. Imaging methods play an outstanding role in the diagnosis, staging and follow-up of RCC. Clear cell, papillary and chromophobe are the most common histological subtypes of RCC, and their preoperative radiological characterization, either followed or not by confirmatory percutaneous biopsy, may be particularly useful in cases of poor surgical condition, metastatic disease, central mass in a solitary kidney, and in patients eligible for molecular targeted therapy. New strategies recently developed for treating renal cancer, such as cryo and radiofrequency ablation, molecularly targeted therapy and active surveillance also require appropriate preoperative characterization of renal masses. Less common histological types, although sharing nonspecific imaging features, may be suspected on the basis of clinical and epidemiological data. The present study is aimed at reviewing the main clinical and imaging findings of histological RCC subtypes.

Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT

Abstract Objective: To assess the cutoff values established by ROC curves to classify18F-NaF uptake as normal or malignant. Materials and Methods: PET/CT images were acquired 1 hour after administration of 185 MBq of18F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. Results: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. Conclusion: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body.

Classification of textures seen from different distances and under varying illumination direction

Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image

A new approach to the classification of mammographic masses and normal breast tissue

A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent. In contrast, our approach makes use of a kindred topic in computer vision adapted to our particular problem. In this sense, we translate the eigenfaces approach for face detection/classification problems to a mass detection. Two different databases were used to show the robustness of the approach. The first one consisted on a set of 160 regions of interest (RoIs) extracted from the MIAS database, being 40 of them with confirmed masses and the rest normal tissue. The second set of RoIs was extracted from the DDSM database, and contained 196 RoIs containing masses and 392 with normal, but suspicious regions. Initial results demonstrate the feasibility of using such approach with performances comparable to other algorithms, with the advantage of being a more general, simple and cost-effective approach

Using appearance and context for outdoor scene object classification

We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal

La cantata humana para voz solista en la Península Ibérica a finales del siglo XVII y inicios del XVIII : estudio y edición musical de parte del códice 82 de la Colección Pombalinas de la Biblioteca Nacional de Portugal

La cantata humana per a veu solista a la Península Ibèrica a finals del segle XVII i inicis del XVIII. Estudi i edició musical d'una part del còdex 82 de la Colección Pombalinas de la Biblioteca Nacional de Portugal.

Pathétique Sonata : a study of musical aspects in subjection of aesthetic aims

This study makes an attempt to capture some of the aesthetic ideas prospering in the latter half of the eighteenth century and investigates in what way these are possibly being manifested in different musical aspects in Beethoven's early work, and most specifically in his eight sonata, often referred to as the Pathétique sonata. Beginning the first chapter with an introduction to aesthetic notions in Beethoven's age, the second chapter is mostly concerned with anecdotes regarding the Pathétique sonata. Further the third chapter exhibits possible influences between Cherubini, Beethoven and Wagner, and the last three chapters treat different musical and aesthetic aspects like Beethoven's relation to the C minor tonality, the German Sturm und Drang movement, and finally some parallels that can be found between literature and music.

The Musical Offering : Ricercare a 3

Soitinnus: Piano.

The Musical Offering : Sonata a 3

Soitinnus: Piano.

La improvisació musical, sota el microscopi.

UNA DE LES FORMES MÉS COMPLEXES de comportament creatiu és la improvisació musical, tan típica d'alguns estils com el jazz i el freestyle rap, però que tanmateix es pot aplicar a qualsevol estil, des de la música clàssica fins al rock'n'roll, passant per la música tradicional. Roger E. Beaty, de la Universitat de Carolina del Nord, als EUA, ha publicat un treball a Neuroscience and Biobehavioral Reviews on compara l'activitat neural durant la improvisació musical en músics de diferents estils. Els resultats indiquen que els processos mentals seguits per uns i altres no són exactament els mateixos, i que les principals diferències es troben en la predominança de control cognitiu durant la improvisació o alternativament de pensament divergent.

Educación musical intercultural a través de un proyecto europeo Comenius y su aportación a las competencias básicas

La experiencia se enmarca en un proyecto de intercambio Comenius desarrollado entre los años 2002-2005, con la participación de seis centros europeos. A partir de la asignatura de prácticas de los alumnos de la Universidad de Girona, se ha implicado la educación musical en el proyecto y se ha desarrollado, a lo largo de tres cursos, una rica experiencia intercultural a través de la canción, la danza y la composición. A su vez, se analizan las aportaciones del proyecto al trabajo de las competencias básicas de la etapa