Synovial sarcomas are relatively common intermediate-to-high-grade malignant soft tissue tumors, often with an initial indolent course. And among the sarcomas primary intra-abdominal synovial sarcoma is a relatively rare entity that may present with an abdominal mass and diagnosis is usually confirmed by immunohistochemistry. The authors report a case of a 46-year-old man who presented with a large palpable abdominal mass. Contrast-enhanced computed tomography (CT) scan showed a large welldefined heterogeneous intra-abdominal mass filling the entire pelvis and extending upwards till the subhepatic region causing displacement of intra-abdominal organs. However, no other focal lesions were seen in the solid organs. The same findings were confirmed on surgery. Histopathology was suggestive of desmoid tumor/hemangiopericytoma. Immunohistochemistry showed positive markers corresponding to synovial sarcoma. The patient was advised to undergo chemotherapy which was refused and follow-up was lost. After 10 months, patient presented for follow-up CT, which showed marked increase in size of the lesion.

Purpose:To compare whole-body magnetic resonance imaging (WBMRI) performed at 1.5 and 3 T for technical quality, artifacts, and visibility of selected fixed structures.Patients and Methods:21 children who had WBMRI at both 1.5 and 3 T scanners within a relatively short interval (3-13 months; average-8.6 months) were included. The images were objectively compared with scores from 4 to 1 for five parameters including severity of artifacts; visibility of liver, vertebral column, and marrow in legs; and overall image quality. Inter-observer agreement was calculated using Kendall's coefficient of Concordance (W) and scores were compared using Signed Rank test.Results:There was substantial inter-observer agreement for all five categories at both field strengths. The difference between averages of mean scores of all five parameters for two field strengths was statistically significant (P < 0.05), indicating less artifact, better fixed structure visibility, and overall image quality at 1.5 T as compared to 3 T. However, scores at 3 T were also rated within a good range (around 3) indicating its feasibility for WBMRI in children.Conclusion:WBMRI at 1.5 T has significantly better image quality, fixed structure visibility, and fewer artifacts, as compared to WBMRI at 3 T in children. This difference is unlikely to significantly affect detection of pathology on 3 T WBMRI as the image quality score at 3 T was also within good range.

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In recent times, medical imaging domain undergoes significant development with respect to innovations, market growth, and exploitation with the rise in the generation of massive data quantity poses diagnostic imaging in the context of Big data. At the same time, securing medical images is needed and it remains a crucial process on the shared communication model. Encryption is considered an effective way of securing the data transmission process in big data environment. Besides, the computer aided diagnosis also provides a second opinion to professionals to manage parallelism. So, it becomes essential to design digital environments and applications which offer effective handling of medical images such as Big data. This paper presents a new Metaheuristic Optimization based Multi-Key Enabled Encryption with Image Classification (MOMEE-IC) for Big Data Environment in Healthcare Sector. The proposed model involves two major operations as encryption and image classification. Firstly, the encryption process involves Multiple key based Homomorphic Encryption (MHE) with lion optimization algorithm (LOA) based optimal key generation process, called MHE-LOA. Besides, Stacked Denoise Autoencoder with Logistic Regression (SDAE-LR) based image classification process is employed for diagnosing the images in the cloud platform. To ensure the superior results of the presented model, a wide set of simulations were performed and the results are examined under distinct aspects.