9 research outputs found

    Metastatic Parathyroid Carcinoma treated with Radiofrequency Ablation: A novel therapeutic modality

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    Parathyroid carcinoma (PCA), accounting for less than one per cent of all endocrine malignancies, is a rare cause of primary hyperparathyroidism. A diagnosis of parathyroid carcinoma may be challenging in the presence of localised disease and involves a histological diagnosis based on capsular, vascular, or perineural invasion or the presence of metastasis. Distant metastasis remains a rare presentation, with the lung being the most common site. Surgery remains the treatment of choice as radiotherapy and chemotherapy have proved to be of limited benefit in metastatic disease. This case reports suggests that radiofrequency ablation has the potential to be a novel and effective treatment option in these patients

    Paraneoplastic polyarthritis in association with metastatic neuroendocrine tumour of the adrenal gland

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    Paraneoplastic polyarthritis is a rare manifestation described in association with various solid tumours. We describe the clinical presentation, diagnostic evaluation, differential diagnosis, and management of a 28-year-old woman who presented with fever, weight loss, and symmetrical polyarthritis, subsequently diagnosed to have a metastatic neuroendocrine tumour of the adrenal gland with paraneoplastic polyarthritis. Paraneoplastic polyarthritis must be considered in polyarthritis unexplained by common aetiologies. The unusual presentation of this case, alerts us about the atypical presentation of these tumours. To the best of our knowledge, this is the first case study of a neuroendocrine tumour presenting as paraneoplastic polyarthritis

    Noninvasive Optical Imaging and In Vivo Cell Tracking of Indocyanine Green Labeled Human Stem Cells Transplanted at Superficial or In-Depth Tissue of SCID Mice

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    Stem cell based therapies hold great promise for the treatment of human diseases; however results from several recent clinical studies have not shown a level of efficacy required for their use as a first-line therapy, because more often in these studies fate of the transplanted cells is unknown. Thus monitoring the real-time fate of in vivo transplanted cells is essential to validate the full potential of stem cells based therapy. Recent studies have shown how real-time in vivo molecular imaging has helped in identifying hurdles towards clinical translation and designing potential strategies that may contribute to successful transplantation of stem cells and improved outcomes. At present, there are no cost effective and efficient labeling techniques for tracking the cells under in vivo conditions. Indocyanine green (ICG) is a safer, economical, and superior labelling technique for in vivo optical imaging. ICG is a FDA-approved agent and decades of usage have clearly established the effectiveness of ICG for human clinical applications. In this study, we have optimized the ICG labelling conditions that is optimal for noninvasive optical imaging and demonstrated that ICG labelled cells can be successfully used for in vivo cell tracking applications in SCID mice injury models

    Is TIRADS a practical and accurate system for use in daily clinical practice?

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    Aim: To assess the positive predictive value (PPV) and inter-observer agreement of Thyroid Imaging Reporting and Data System (TIRADS) as described by Kwak et al. Materials and Methods: This was a prospective study wherein ultrasound was performed by two radiologists on patients with thyroid nodules >1 cm. The third radiologist interpreted archived images. Ultrasound features and TIRADS category were compared with cytology and surgical histopathology. PPV was calculated for all readers′ combined assessment. Inter-observer agreement was calculated using linear weighted kappa. Results: A total of 238 patients with 272 nodules of mean size 2.9 ± 1.7 cm were included. PPV for malignancy was 6.6%, 32%, 36%, 64%, 59%, and 91% for TIRADS 2, 3, 4a, 4b, 4c, and 5 categories, respectively. Inter-observer agreement was substantial [kappa (k) = 0.61-0.80] for assessment of nodule echogenicity, margins, calcification, and shape and good (k = 0.570, P < 0.001) for assessment of composition of the thyroid nodules. Overall agreement between observers was substantial for assigning TIRADS category [multi-rater weighted kappa coefficient (wt k) = 0.721, P < 0.001]. Conclusions: TIRADS is a simple and practical method of assessing thyroid nodules with high PPV and good inter-observer agreement
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