Tumores indutores de osteomalácia: diagnóstico, caracterização tumoral e avaliação evolutiva em longo prazo de nove pacientes

INTRODUÇÃO: Tumores indutores de osteomalácia (TIOs) são raros, geralmente apresentam origem mesenquimal, têm produção excessiva de fosfatoninas sendo a mais comum o FGF23 (Fibroblast Growth Factor 23) que, em níveis elevados, provoca osteomalácia hipofosfatêmica. A cura dos TIOs envolve a remoção completa do tumor, o que torna essencial sua localização. OBJETIVOS: (1) caracterizar nove pacientes com TIO ao diagnóstico e avaliá-los evolutivamente em longo prazo; (2) avaliar a eficácia da cintilografia com Octreotida (Octreoscan®) e a da cintilografia de corpo inteiro com Mibi (MIBI) na detecção dos TIOs. MÉTODOS: O acompanhamento dos pacientes consistiu na avaliação clínica, na avaliação laboratorial com ênfase no metabolismo ósseo e na realização de exames de imagem para caracterização das deformidades esqueléticas. Para a localização dos TIOs, os pacientes foram submetidos a exames de Octreoscan®, MIBI, ressonância magnética (RM) e tomografia computadorizada (TC). RESULTADOS: O período de observação dos pacientes variou de dois a 25 anos. Ao diagnóstico, todos exibiam fraqueza muscular, dores ósseas e fraturas de fragilidade. Em relação à avaliação laboratorial, apresentavam: hipofosfatemia com taxa de reabsorção tubular de fosfato reduzida, fosfatase alcalina aumentada e níveis elevados de FGF23. O Octreoscan® permitiu a identificação dos TIOs nos nove pacientes e o MIBI possibilitou a localização dos TIOs em seis pacientes, sendo que ambos os exames foram concordantes entre si e com os exames topográficos (RM ou TC). Os achados histopatológicos das lesões dos nove pacientes confirmaram tratar-se de oito tumores mesenquimais fosfatúricos (PMTs) benignos e um PMT maligno. Após a primeira intervenção cirúrgica para a remoção dos TIOs, quatro pacientes encontram-se em remissão da doença e cinco evoluíram com persistência tumoral. Dos cinco, quatro foram reoperados e um aguarda nova cirurgia. Dos que foram reoperados, um paciente se mantém em remissão da doença, um foi a óbito por complicações clínicas, uma teve doença metastática e o último apresentou recidiva tumoral três anos após a segunda cirurgia. Deformidades ósseas graves foram observadas nos pacientes cujo diagnóstico e/ou tratamento clínico foram tardios. O tratamento da osteomalácia foi iniciado com fosfato e perdurou até a ressecção tumoral, tendo sido reintroduzido nos casos de persistência/recidiva tumoral. Quatro pacientes que fizerem uso regular desse medicamento por mais de seis anos evoluíram com hiperparatireoidismo terciário (HPT). CONCLUSÕES: O estudo revelou que tanto o Octreoscan® como o MIBI foram capazes de localizar os TIOs. Por isso, incentivamos a realização do MIBI nos locais onde o Octreoscan® não for disponível. Uma equipe experiente é indispensável para o sucesso cirúrgico visto que os tumores, embora benignos, costumam ser infiltrativos. Recomendamos o seguimento por tempo indeterminado em função do risco de recidiva tumoral. Assim como o FGF23, consideramos o fósforo um excelente marcador de remissão, persistência e recidiva dos TIOs. O diagnóstico e o tratamento precoce são fundamentais para a melhora dos sintomas podendo minimizar as deformidades esqueléticas e as sequelas ósseas. O uso prolongado do fosfato no tratamento da osteomalácia hipofosfatêmica foi associado ao desenvolvimento do HPT

Ureter retrocava : uma anomalia congénita rara

Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014

(Table T1) Gas hydrate fabric and dipping angles of ODP Leg 204 sediments

The sediments of Hydrate Ridge/Cascadia margin contain extensive amounts of gas hydrate. A total of 57 sediment samples including gas hydrate were preserved in liquid nitrogen and have been imaged using computerized tomography to visualize hydrate distribution and shape. The analysis gives evidence that gas hydrate in vein and veinlet structures is the predominant shape in the deeper gas hydrate stability zone with dipping angles from 30° to 90°(vertical).

Variability in Cobb angle measurements using reformatted computerized tomography scans

Study Design. Survey of intraobserver and interobserver measurement variability. Objective. To assess the use of reformatted computerized tomography (CT) images for manual measurement of coronal Cobb angles in idiopathic scoliosis. Summary of Background Data. Cobb angle measurements in idiopathic scoliosis are traditionally made from standing radiographs, whereas CT is often used for assessment of vertebral rotation. Correlating Cobb angles from standing radiographs with vertebral rotations from supine CT is problematic because the geometry of the spine changes significantly from standing to supine positions, and 2 different imaging methods are involved. Methods. We assessed the use of reformatted thoracolumbar CT images for Cobb angle measurement. Preoperative CT of 12 patients with idiopathic scoliosis were used to generate reformatted coronal images. Five observers measured coronal Cobb angles on 3 occasions from each of the images. Intraobserver and interobserver variability associated with Cobb measurement from reformatted CT scans was assessed and compared with previous studies of measurement variability using plain radiographs. Results. For major curves, 95% confidence intervals for intraobserver and interobserver variability were +/- 6.6 degrees and +/- 7.7 degrees, respectively. For minor curves, the intervals were +/- 7.5 degrees and +/- 8.2 degrees, respectively. Intraobserver and interobserver technical error of measurement was 2.4 degrees and 2.7 degrees, with reliability coefficients of 88% and 84%, respectively. There was no correlation between measurement variability and curve severity. Conclusions. Reformatted CT images may be used for manual measurement of coronal Cobb angles in idiopathic scoliosis with similar variability to manual measurement of plain radiographs.

Automatic measurement of vertebral rotation in idiopathic scoliosis

Study Design. Development of an automatic measurement algorithm and comparison with manual measurement methods. Objectives. To develop a new computer-based method for automatic measurement of vertebral rotation in idiopathic scoliosis from computed tomography images and to compare the automatic method with two manual measurement techniques. Summary of Background Data. Techniques have been developed for vertebral rotation measurement in idiopathic scoliosis using plain radiographs, computed tomography, or magnetic resonance images. All of these techniques require manual selection of landmark points and are therefore subject to interobserver and intraobserver error. Methods. We developed a new method for automatic measurement of vertebral rotation in idiopathic scoliosis using a symmetry ratio algorithm. The automatic method provided values comparable with Aaro and Ho's manual measurement methods for a set of 19 transverse computed tomography slices through apical vertebrae, and with Aaro's method for a set of 204 reformatted computed tomography images through vertebral endplates. Results. Confidence intervals (95%) for intraobserver and interobserver variability using manual methods were in the range 5.5 to 7.2. The mean (+/- SD) difference between automatic and manual rotation measurements for the 19 apical images was -0.5 degrees +/- 3.3 degrees for Aaro's method and 0.7 degrees +/- 3.4 degrees for Ho's method. The mean (+/- SD) difference between automatic and manual rotation measurements for the 204 endplate images was 0.25 degrees +/- 3.8 degrees. Conclusions. The symmetry ratio algorithm allows automatic measurement of vertebral rotation in idiopathic scoliosis without intraobserver or interobserver error due to landmark point selection.

EFEITOS ESQUELÉTICOS DA TRAÇÃO REVERSA DA MAXILA UTILIZANDO TOMOGRAFIA COMPUTADORIZADA

Este estudo avaliou os efeitos esqueléticos da tração reversa da maxila utilizando imagens 2D (telerradiografia lateral) geradas a partir da tomografia de feixe cônico (imagens 3D). A amostra foi composta por 20 crianças (15 do gênero feminino, e 5 do masculino), com idade variando de 5,6 a 10,7 anos que apresentavam má-oclusão de Classe III de Angle. A tomografia foi realizada antes do tratamento (T1) e logo após o tratamento (T2). O tratamento foi realizado por meio da tração reversa da maxila utilizando-se o aparelho expansor Hyrax associado à máscara facial individualizada, com força de 600 a 800g de cada lado, durante 14 horas por dia. A correção da relação de caninos em Classe I ou com sua sobrecorreção em Classe II foi obtida após 4 a 8 meses de tratamento. Para verificar o erro sistemático e casual foi utilizado o teste t pareado e a fórmula de Dahlberg, respectivamente. O teste t pareado (p<0,05) mostrou diferença significante entre as medidas cefalométricas obtidas em T1 e T2. Na maxila houve aumento do SNA 2,2°, A-Nperp 1,47mm e em Co-A 2,58mm. Na mandíbula, SNB diminuiu -0,54° e P-Nperp, -1,45mm, enquanto Co-Gn aumentou 1,04mm. Houve melhora na relação maxilo-mandibular ANB 2,74° e Wits 4,23mm. As variáveis GoGn.SN, Gn.SN, FH.Md, Mx.Md, e AFAI aumentaram demonstrando que houve uma rotação da mandíbula no sentido horário. O plano palatino rotacionou no sentido anti-horário. Pode se concluir que o tratamento de tração reversa da maxila na idade precoce promoveu uma melhora na relação maxilo-mandibular devido a um avanço da maxila e um deslocamento da mandíbula para baixo e para trás.

Classificação de nódulos pulmonares em imagens tomográficas utilizando redes neurais artificiais em cascata

Lung cancer is the most common of malignant tumors, with 1.59 million new cases worldwide in 2012. Early detection is the main factor to determine the survival of patients affected by this disease. Furthermore, the correct classification is important to define the most appropriate therapeutic approach as well as suggest the prognosis and the clinical disease evolution. Among the exams used to detect lung cancer, computed tomography have been the most indicated. However, CT images are naturally complex and even experts medical are subject to fault detection or classification. In order to assist the detection of malignant tumors, computer-aided diagnosis systems have been developed to aid reduce the amount of false positives biopsies. In this work it was developed an automatic classification system of pulmonary nodules on CT images by using Artificial Neural Networks. Morphological, texture and intensity attributes were extracted from lung nodules cut tomographic images using elliptical regions of interest that they were subsequently segmented by Otsu method. These features were selected through statistical tests that compare populations (T test of Student and U test of Mann-Whitney); from which it originated a ranking. The features after selected, were inserted in Artificial Neural Networks (backpropagation) to compose two types of classification; one to classify nodules in malignant and benign (network 1); and another to classify two types of malignancies (network 2); featuring a cascade classifier. The best networks were associated and its performance was measured by the area under the ROC curve, where the network 1 and network 2 achieved performance equal to 0.901 and 0.892 respectively.

Development and Optimization of Four-dimensional Magnetic Resonance Imaging (4D-MRI) for Radiation Therapy

A tenet of modern radiotherapy (RT) is to identify the treatment target accurately, following which the high-dose treatment volume may be expanded into the surrounding tissues in order to create the clinical and planning target volumes. Respiratory motion can induce errors in target volume delineation and dose delivery in radiation therapy for thoracic and abdominal cancers. Historically, radiotherapy treatment planning in the thoracic and abdominal regions has used 2D or 3D images acquired under uncoached free-breathing conditions, irrespective of whether the target tumor is moving or not. Once the gross target volume has been delineated, standard margins are commonly added in order to account for motion. However, the generic margins do not usually take the target motion trajectory into consideration. That may lead to under- or over-estimate motion with subsequent risk of missing the target during treatment or irradiating excessive normal tissue. That introduces systematic errors into treatment planning and delivery. In clinical practice, four-dimensional (4D) imaging has been popular in For RT motion management. It provides temporal information about tumor and organ at risk motion, and it permits patient-specific treatment planning. The most common contemporary imaging technique for identifying tumor motion is 4D computed tomography (4D-CT). However, CT has poor soft tissue contrast and it induce ionizing radiation hazard. In the last decade, 4D magnetic resonance imaging (4D-MRI) has become an emerging tool to image respiratory motion, especially in the abdomen, because of the superior soft-tissue contrast. Recently, several 4D-MRI techniques have been proposed, including prospective and retrospective approaches. Nevertheless, 4D-MRI techniques are faced with several challenges: 1) suboptimal and inconsistent tumor contrast with large inter-patient variation; 2) relatively low temporal-spatial resolution; 3) it lacks a reliable respiratory surrogate. In this research work, novel 4D-MRI techniques applying MRI weightings that was not used in existing 4D-MRI techniques, including T2/T1-weighted, T2-weighted and Diffusion-weighted MRI were investigated. A result-driven phase retrospective sorting method was proposed, and it was applied to image space as well as k-space of MR imaging. Novel image-based respiratory surrogates were developed, improved and evaluated.

Tissue Equivalent Phantom Design for Optimization of a Coherent Scatter Imaging System

Scatter in medical imaging is typically cast off as image-related noise that detracts from meaningful diagnosis. It is therefore typically rejected or removed from medical images. However, it has been found that every material, including cancerous tissue, has a unique X-ray coherent scatter signature that can be used to identify the material or tissue. Such scatter-based tissue-identification provides the advantage of locating and identifying particular materials over conventional anatomical imaging through X-ray radiography. A coded aperture X-ray coherent scatter spectral imaging system has been developed in our group to classify different tissue types based on their unique scatter signatures. Previous experiments using our prototype have demonstrated that the depth-resolved coherent scatter spectral imaging system (CACSSI) can discriminate healthy and cancerous tissue present in the path of a non-destructive x-ray beam. A key to the successful optimization of CACSSI as a clinical imaging method is to obtain anatomically accurate phantoms of the human body. This thesis describes the development and fabrication of 3D printed anatomical scatter phantoms of the breast and lung.

The purpose of this work is to accurately model different breast geometries using a tissue equivalent phantom, and to classify these tissues in a coherent x-ray scatter imaging system. Tissue-equivalent anatomical phantoms were designed to assess the capability of the CACSSI system to classify different types of breast tissue (adipose, fibroglandular, malignant). These phantoms were 3D printed based on DICOM data obtained from CT scans of prone breasts. The phantoms were tested through comparison of measured scatter signatures with those of adipose and fibroglandular tissue from literature. Tumors in the phantom were modeled using a variety of biological tissue including actual surgically excised benign and malignant tissue specimens. Lung based phantoms have also been printed for future testing. Our imaging system has been able to define the location and composition of the various materials in the phantom. These phantoms were used to characterize the CACSSI system in terms of beam width and imaging technique. The result of this work showed accurate modeling and characterization of the phantoms through comparison of the tissue-equivalent form factors to those from literature. The physical construction of the phantoms, based on actual patient anatomy, was validated using mammography and computed tomography to visually compare the clinical images to those of actual patient anatomy.

Photoacoustic tomography: principles and advances.

Photoacoustic tomography (PAT) is an emerging imaging modality that shows great potential for preclinical research and clinical practice. As a hybrid technique, PAT is based on the acoustic detection of optical absorption from either endogenous chromophores, such as oxy-hemoglobin and deoxy-hemoglobin, or exogenous contrast agents, such as organic dyes and nanoparticles. Because ultrasound scatters much less than light in tissue, PAT generates high-resolution images in both the optical ballistic and diffusive regimes. Over the past decade, the photoacoustic technique has been evolving rapidly, leading to a variety of exciting discoveries and applications. This review covers the basic principles of PAT and its different implementations. Strengths of PAT are highlighted, along with the most recent imaging results.

Multiscale photoacoustic tomography using reversibly switchable bacterial phytochrome as a near-infrared photochromic probe.

Photoacoustic tomography (PAT) of genetically encoded probes allows for imaging of targeted biological processes deep in tissues with high spatial resolution; however, high background signals from blood can limit the achievable detection sensitivity. Here we describe a reversibly switchable nonfluorescent bacterial phytochrome for use in multiscale photoacoustic imaging, BphP1, with the most red-shifted absorption among genetically encoded probes. BphP1 binds a heme-derived biliverdin chromophore and is reversibly photoconvertible between red and near-infrared light-absorption states. We combined single-wavelength PAT with efficient BphP1 photoswitching, which enabled differential imaging with substantially decreased background signals, enhanced detection sensitivity, increased penetration depth and improved spatial resolution. We monitored tumor growth and metastasis with ∼ 100-μm resolution at depths approaching 10 mm using photoacoustic computed tomography, and we imaged individual cancer cells with a suboptical-diffraction resolution of ∼ 140 nm using photoacoustic microscopy. This technology is promising for biomedical studies at several scales.

Utilisation de la tomodensitométrie à deux énergies pour le calcul de dose en curiethérapie à bas débit

Dans la pratique actuelle de la curiethérapie à bas débit, l'évaluation de la dose dans la prostate est régie par le protocole défini dans le groupe de travail 43 (TG-43) de l'American Association of Physicists in Medicine. Ce groupe de travail suppose un patient homogène à base d'eau de même densité et néglige les changements dans l'atténuation des photons par les sources de curiethérapie. En considérant ces simplifications, les calculs de dose se font facilement à l'aide d'une équation, indiquée dans le protocole. Bien que ce groupe de travail ait contribué à l'uniformisation des traitements en curiethérapie entre les hôpitaux, il ne décrit pas adéquatement la distribution réelle de la dose dans le patient. La publication actuelle du TG-186 donne des recommandations pour étudier des distributions de dose plus réalistes. Le but de ce mémoire est d'appliquer ces recommandations à partir du TG-186 pour obtenir une description plus réaliste de la dose dans la prostate. Pour ce faire, deux ensembles d'images du patient sont acquis simultanément avec un tomodensitomètre à double énergie (DECT). Les artéfacts métalliques présents dans ces images, causés par les sources d’iode, sont corrigés à l'aide d’un algorithme de réduction d'artefacts métalliques pour DECT qui a été développé dans ce travail. Ensuite, une étude Monte Carlo peut être effectuée correctement lorsque l'image est segmentée selon les différents tissus humains. Cette segmentation est effectuée en évaluant le numéro atomique effectif et la densité électronique de chaque voxel, par étalonnage stoechiométrique propre au DECT, et en y associant le tissu ayant des paramètres physiques similaires. Les résultats montrent des différences dans la distribution de la dose lorsqu'on compare la dose du protocole TG-43 avec celle retrouvée avec les recommandations du TG-186.

Application of computer-aided tomography techniques to visualize kelp holdfast structure reveals the importance of habitat complexity for supporting marine biodiversity

Ecosystem engineers that increase habitat complexity are keystone species in marine systems, increasing shelter and niche availability, and therefore biodiversity. For example, kelp holdfasts form intricate structures and host the largest number of organisms in kelp ecosystems. However, methods that quantify 3D habitat complexity have only seldom been used in marine habitats, and never in kelp holdfast communities. This study investigated the role of kelp holdfasts (Laminaria hyperborea) in supporting benthic faunal biodiversity. Computer-aided tomography (CT-) scanning was used to quantify the three-dimensional geometrical complexity of holdfasts, including volume, surface area and surface fractal dimension (FD). Additionally, the number of haptera, number of haptera per unit of volume, and age of kelps were estimated. These measurements were compared to faunal biodiversity and community structure, using partial least-squares regression and multivariate ordination. Holdfast volume explained most of the variance observed in biodiversity indices, however all other complexity measures also strongly contributed to the variance observed. Multivariate ordinations further revealed that surface area and haptera per unit of volume accounted for the patterns observed in faunal community structure. Using 3D image analysis, this study makes a strong contribution to elucidate quantitative mechanisms underlying the observed relationship between biodiversity and habitat complexity. Furthermore, the potential of CT-scanning as an ecological tool is demonstrated, and a methodology for its use in future similar studies is established. Such spatially resolved imager analysis could help identify structurally complex areas as biodiversity hotspots, and may support the prioritization of areas for conservation.

Application of computer-aided tomography techniques to visualize kelp holdfast structure reveals the importance of habitat complexity for supporting marine biodiversity

Ecosystem engineers that increase habitat complexity are keystone species in marine systems, increasing shelter and niche availability, and therefore biodiversity. For example, kelp holdfasts form intricate structures and host the largest number of organisms in kelp ecosystems. However, methods that quantify 3D habitat complexity have only seldom been used in marine habitats, and never in kelp holdfast communities. This study investigated the role of kelp holdfasts (Laminaria hyperborea) in supporting benthic faunal biodiversity. Computer-aided tomography (CT-) scanning was used to quantify the three-dimensional geometrical complexity of holdfasts, including volume, surface area and surface fractal dimension (FD). Additionally, the number of haptera, number of haptera per unit of volume, and age of kelps were estimated. These measurements were compared to faunal biodiversity and community structure, using partial least-squares regression and multivariate ordination. Holdfast volume explained most of the variance observed in biodiversity indices, however all other complexity measures also strongly contributed to the variance observed. Multivariate ordinations further revealed that surface area and haptera per unit of volume accounted for the patterns observed in faunal community structure. Using 3D image analysis, this study makes a strong contribution to elucidate quantitative mechanisms underlying the observed relationship between biodiversity and habitat complexity. Furthermore, the potential of CT-scanning as an ecological tool is demonstrated, and a methodology for its use in future similar studies is established. Such spatially resolved imager analysis could help identify structurally complex areas as biodiversity hotspots, and may support the prioritization of areas for conservation.

Calcaneus-navicular coalition associated to flatfoot in a child. A case report

Tarsal coalition (a congenital fibrous, cartilaginous or bony connection between two bones) often leads to a flatfoot deformity in children. Usually it presents with recurrent ankle sprains or insidious onset of a painful rigid flatfoot and movement limitation of midtarsal and subtalar joints. Clinical diagnosis is confirmed by X-rays, computed axial tomography and nuclear magnetic resonance. The anteater nose sign is caused by a tubular elongation of the anterior process of the calcaneus that approaches or overlaps the tarsal scaphoid (navicular) and resembles the nose of an anteater on a lateral foot or ankle radiograph. The treatment of this union is primarily symptomatic but if the pain persists must be surgical .