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Differentiating malignant from benign thyroid nodules with indeterminate cytology by 99mTc-MIBI scan: A new quantitative method for improving diagnostic accuracy

Academic Article
Publication Date:
2017
abstract:
Quantitative Tc-99m-MIBI thyroid scintigraphy is a useful tool in differentiating malignant from benign thyroid nodules with indeterminate cytology. The aim of our report is to compare the diagnostic performance of different quantitative methods. We prospectively evaluated 20 patients affected by a thyroid nodule with a cytological diagnosis of class III or IV according to the Bethesda system. Planar images of the thyroid were acquired 10 and 60 minutes after Tc-99m-MIBI administration and two different quantitative methods applied (i.e. wash-out index, WOind; retention index, R.I.). All patients underwent lobectomy or thyroidectomy and final histological findings were matched with MIBI results obtained with both quantitative methods. Four out of 20 patients had a final histological result of differentiated thyroid cancer, while benign findings were found in the remaining cases. Overall sensitivity, specificity, accuracy, PPV and NPV were 100% in all for the WOind and 100%, 57.1%, 62.5%, 25% for the R.I., respectively. In conclusion Tc-99m-semiquantitative MIBI thyroid scintigraphy with WOind calculation is highly accurate in differential diagnosis of nodules with indeterminate cytology reading
Iris type:
14.a.1 Articolo su rivista
Keywords:
Adult, Aged, Comparative study, Cytodiagnosis, Diagnostic imaging, Differential diagnosis, Female, Human, Middle aged, Pathology, Procedures, Prospective study, Scintiscanning, Sensitivity and specificity, Thyroid nodule, Thyroid tumor, Thyroidectomy, Very elderly, Young adult, Multidisciplinary
List of contributors:
Campennì, A.; Siracusa, M.; Ruggeri, R. M.; Laudicella, R.; Pignata, S. A.; Baldari, S.; Giovanella, L.
Authors of the University:
CAMPENNI' Alfredo
LAUDICELLA Riccardo
RUGGERI Rosaria Maddalena
Handle:
https://iris.unime.it/handle/11570/3121272
Full Text:
https://iris.unime.it//retrieve/handle/11570/3121272/238834/A.Campenni%20Sci%20Rep%202017.pdf
Published in:
SCIENTIFIC REPORTS
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www.nature.com/srep/index.html
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