Application of Technology in Endocrine Disease
The paper “B-Flow twinkling sign in preoperative evaluation of cervical lymph nodes in patients with papillary thyroid carcinoma” by G. Napolitano et al., from the Department of Health Science, University of Molise, Contrada Tappino, Campobasso, Italy, describes a new technique, B-flow imaging (BFI)...
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Veröffentlicht in: | International Journal of Endocrinology 2014-01, Vol.2014, p.582-584-161 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The paper “B-Flow twinkling sign in preoperative evaluation of cervical lymph nodes in patients with papillary thyroid carcinoma” by G. Napolitano et al., from the Department of Health Science, University of Molise, Contrada Tappino, Campobasso, Italy, describes a new technique, B-flow imaging (BFI), to evaluate the presence of metastatic disease in lymph nodes. The paper “How to estimate fat mass in overweight and obese subjects” by L. M. Donini et al., from the Medical Physiopathology Division, Food Science and Endocrinology Section, Food Science and Human Nutrition Research Unit, Experimental Medicine Department, Sapienza University of Rome, Italy, is of value to advance the understanding of the pathophysiology of obesity. The other paper dealing with diabetes in the special issue, “The transcultural diabetes nutrition algorithm: a Canadian perspective” by R. Gougeon et al., from Crabtree Nutrition Laboratories, McGill University Health Centre/Royal Victoria Hospital, Montreal, QC Canada, describes the Canadian version of the transcultural Diabetes Nutrition Algorithm which supports and targets behavioural changes to improve nutritional quality and to promote regular daily physical activity consistent with the Canadian Diabetes Association’s CPG, as well as supporting the concomitant management of obesity, hypertension, dyslipidemia, and dysglycaemia in primary care. Diabetes (i) Evaluation of the technology for the treatment of diabetic foot ulcers. (ii) Diagnosis and treatment of obstructive sleep apnoea and impact on metabolic disorders. (iii) Meters with artificial intelligence for improved dosing recommendations and also artificial intelligence modelling, and educational and advisory software. (iv) Blood glucose meters, including invasive and noninvasive devices. (v) Communication protocols and systems for implementing a robust and effective telediabetes infrastructure. (vi) New developments in continuous glucose monitoring with special focus on new sensor technologies. (vii) Insulin delivery systems, including pump technology. |
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ISSN: | 1687-8337 1687-8345 |
DOI: | 10.1155/2014/715029 |