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1.
Indian J Radiol Imaging ; 31(2): 311-317, 2021 Apr.
Article in English | MEDLINE | ID: mdl-34556913

ABSTRACT

Background Differentiating Graves' disease from thyroiditis can be at times clinically challenging. The gold standard test (thyroid nuclear imaging scan) is expensive, not routinely available, and has radiation exposure. Color Doppler ultrasonography of thyroid represents a suitable alternate which can be used for differentiating these conditions by studying thyroid blood flow parameters. Aim We aimed to investigate the use of thyroid blood flow parameters' assessment of the superior thyroid artery (STA) and common carotid artery (CCA) with color Doppler ultrasonography for differentiating Graves' disease from thyroiditis. Materials and Methods This is a cross-sectional study on 111 patients with newly diagnosed thyrotoxicosis (82 with Graves' disease and 29 with thyroiditis) and 45 years of age and sex-matched healthy controls. All patients underwent detailed clinical and necessary investigations. Color Doppler ultrasonography of the thyroid gland and spectral flow analysis of both superior thyroid arteries was done using standard protocol. Sensitivity and specificity for mean peak systolic velocity of STA (STA-PSV) cut-offs were calculated using receiver operating characteristic curves. Results Patients with Graves' disease have significantly higher free tri-iodothyronine (FT3) levels, free thyroxine (FT4) levels, antithyroid stimulating hormone receptor antibody (TRAb) levels, and thyroid volume as compared with those with thyroiditis. The mean STA-PSV of patients with Graves' disease was significantly higher than thyroiditis and control group. Mean STA-PSV greater than 54.3 cm/s had 82.9% sensitivity and 86.2% specificity in diagnosing Graves' disease. Mean PSV-STA/PSV-CCA ratio of 0.40 was 80.5% sensitive and 86.2% specific for Graves' disease. Conclusion Mean STA-PSV has high sensitivity and specificity in differentiating Graves' disease from thyroiditis and can be used routinely in clinical practice as a cheap and invaluable diagnostic tool.

2.
J Clin Exp Hepatol ; 7(4): 310-315, 2017 Dec.
Article in English | MEDLINE | ID: mdl-29234195

ABSTRACT

BACKGROUND AND AIMS: With the rising prevalence of obesity and metabolic syndrome, nonalcoholic fatty liver disease (NAFLD) has become the most common liver disorder in both developed and developing nations. Several studies on NAFLD have described waist circumference, a surrogate marker of visceral fat accumulation and waist height ratio as a better screening tool for NAFLD and metabolic syndrome than body mass index (BMI). We conducted this study to assess simple abdominal obesity indices as a predictor of NAFLD and determine the appropriate cut-off levels with reference to NAFLD. METHODS: 1000 subjects with NAFLD detected ultrasonographically and 360 controls attending a Gastroenterology Clinic at Cuttack, Odisha were included in the study and subjected to detailed anthropometric measurements. The abdominal anthropometric cut offs were determined using ROC analysis. Statistical analysis was performed by using SPSS software version 16. RESULTS: All receiver operating curve (ROC) curves of waist circumference, waist-height ratio and BMI were significantly above the diagonal line. There were no significant differences in the area under the curve values among these abdominal obesity indices in each gender. The appropriate cut-off point of waist circumference in screening for NAFLD was 89 cm for men and 84 cm for women and the optimal cut-off point of waist-height ratio was 0.53 for men and 0.57 for women and the cut-off point of waist to hip ratio was 0.94 for men and 0.87 for women with very good sensitivity and specificity. CONCLUSIONS: The simple anthropometric parameters, such as BMI, waist circumference, waist-hip ratio and waist-height ratio are useful for predicting NAFLD in Indian adults. The anthropometry cut offs would be very useful in setting target points of life style modification and weight reduction. Besides, our study also clearly demonstrated that a simple assessment of BMI is as efficacious as other anthropometry parameters in predicting NAFLD.

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