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Knowledge of the PET imaging findings of osseous spinal neoplasms is essential, because they are common incidental findings on PET scans done for staging of unrelated primary malignancies. Additionally, PET can help differentiate lesions that are not clearly defined by anatomic modalities alone. PET can also be used for follow-up of aggressive tumors to assess response to treatment, often proving superior to CT or MR imaging alone for this purpose. This review discusses the role of PET/CT and PET/MR imaging in the diagnosis and management of primary benign and malignant osseous tumors of the spine.

PURPOSE The purpose of this study was to develop and test a parenchyma attenuated T1-weighted inversion recovery MR sequence (PAIR) that increases the contrast between enhancing and non-enhancing tissues in the brain and to compare the contrast ratio of enhancing brain tumors on this sequence compared to spin echo magnetization transfer (SEMT). PATIENTS AND METHODS PAIR sequence parameters were developed to reduce signal from gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) in a healthy adult volunteer. Forty-one patients (17 men and 24 women) with a mean age of 55±13 (SD) years (range: 21-78years) with known or suspected brain tumors underwent PAIR and SEMT imaging after intravenous administration of gadobenate dimeglumine. In patients with confirmed tumors, PAIR and SEMT images were compared for contrast ratio of tumor-to-WM, tumor-to-GM, and tumor-to-CSF. RESULTS A total of 23 enhancing neoplastic lesions were found in 14/41 patients. All tumors were visualized on both contrast enhanced PAIR and SEMT images. PAIR images showed a 2.5 fold increase in maximum tumor-to-GM contrast ratio (P

Background and objective In most patients presenting with respiratory symptoms, the findings of chest radiography play a key role in the diagnosis, management, and follow-up of the disease. Consolidation is a common term in radiology, which indicates focally increased lung density. When the alveolar structures become filled with pus, fluid, blood cells or protein subsequent to a pulmonary pathological process, it may result in different types of lung opacity in chest radiograph. This study aims at detecting consolidations in chest x-ray radiographs, with a certain precision, using artificial intelligence and especially Deep Convolutional Neural Networks to assist radiologist for better diagnosis. Methods Medical image datasets usually are relatively small to be used for training a Deep Convolutional Neural Network (DCNN), so transfer learning technique with well-known DCNNs pre-trained with ImageNet dataset are used to improve the accuracy of the models. ImageNet feature space is different from medical images and in the other side, the well-known DCNNs are designed to achieve the best performance on ImageNet. Therefore, they cannot show their best performance on medical images. To overcome this problem, we designed a problem-based architecture which preserves the information of images for detecting consolidation in Pediatric Chest X-ray dataset. We proposed a three-step pre-processing approach to enhance generalization of the models. To demonstrate the correctness of numerical results, an occlusion test is applied to visualize outputs of the model and localize the detected appropriate area. A different dataset as an extra validation is used in order to investigate the generalization of the proposed model. Results The best accuracy to detect consolidation is 94.67% obtained by our problem based architecture for the understudy dataset which outperforms the previous works and the other architectures. Conclusions The designed models can be employed as computer aided diagnosis tools in real practice. We critically discussed the datasets and the previous works based on them and show that without some considerations the results of them may be misleading. We believe, the output of AI should be only interpreted as focal consolidation. The clinical significance of the finding can not be interpreted without integration of clinical data.

OBJECTIVE. With improvements in PET/CT and PET/MRI over the last decade, as well as increased understanding of the pathophysiology of musculoskeletal diseases, there is an emerging potential for PET as a primary or complementary modality in the management of rheumatologic and orthopedic conditions. CONCLUSION. We discuss the role of PET/CT and PET/MRI in nononcologic musculoskeletal disorders, including inflammatory and infectious conditions and postoperative complications. There is great potential for an increased role for PET to serve as a primary or complementary modality in the management of orthopedic and rheumatologic disorders.

The spine is the third most common site for distant metastasis in cancer patients with approximately 70% of patients with metastatic cancer having spinal involvement. Positron emission tomography (PET), combined with computed tomography (CT) or magnetic resonance imaging (MRI), has been deeply integrated in modern clinical oncology as a pivotal component of the diagnostic work-up of patients with cancer. PET is able to diagnose several neoplastic processes before any detectable morphological changes can be identified by anatomic imaging modalities alone. In this review, we discuss the role of PET/CT and PET/MRI in the diagnostic management of non-osseous metastatic disease of the spinal canal. While sometimes subtle, recognizing such disease on FDG PET/CT and PET/MRI imaging done routinely in cancer patients can guide treatment strategies to potentially prevent irreversible neurological damage.

Primary splenic angiosarcoma is a rare and fatal neoplasm arising from vascular endothelial cells within the spleen. With an incidence of 2 cases per 10 million people worldwide, the diagnosis and treatment of this rare entity is unfamiliar and challenging. We describe the case of a previously healthy 45-year-old woman who presented with vague upper-abdominal pain and was found to have a splenic mass on computed tomography. The patient underwent laparoscopic splenectomy and was found to have splenic angiosarcoma on microscopic evaluation. Although specific radiologic diagnosis is not possible, bringing the possibility of primary splenic angiosarcoma to the ordering clinician's attention has the potential to hasten treatment and improve patient outcomes. This case highlights the importance for radiologists to be aware of this rare neoplasm and to consider it in the differential when encountering a heterogeneously enhancing splenic mass.

Background: Cancer continues to rise as a contributor to premature death in the developing world. Despite this, little is known about whether cancer outcomes are related to a country’s income level, and what aspects of national healthcare systems are associated with improved cancer outcomes. Methods: The most recent estimates of cancer incidence and mortality were used to calculate mortality-to-incidence ratio (MIR) for the 85 countries with reliable data. Countries were categorized according to high-income (Gross Domestic Product (GDP) > $15,000) or middle/low-income (GDP < $15,000), and a multivariate linear regression model was used to determine the association between healthcare system indicators and cancer MIR. Indicators study included per capita GDP, overall total healthcare expenditure (THE), THE as a proportion of GDP, total external beam radiotherapy devices (TEBD) per capita, physician density, and the year 2000 WHO healthcare system rankings. Results: Cancer MIR in high-income countries (0.47) was significantly lower than that of middle/low-income countries (0.64), with a p < 0.001. In high-income countries, GDP, health expenditure and TEBD showed significant inverse correlations with overall cancer MIR. A $3040 increase in GDP (p = 0.004), a $379 increase in THE (p < 0.001), or an increase of 0.59 TEBD per 100,000 population (p = 0.027) were all associated with a 0.01 decrease in cancer MIR. In middle/low-income countries, only WHO scores correlated with decreased cancer MIR (p = 0.022); 12 specific cancer types also showed similar significant correlations (p < 0.05) as overall cancer MIR. Conclusions: The analysis of this study suggested that cancer MIR is greater in middle/low-income countries. Furthermore, the WHO healthcare score was associated with improved cancer outcomes in middle/low-income countries while absolute levels of financial resources and infrastructure played a more important role in high-income countries.