Literature DB >> 23529672

Diagnostic performance of (99m)Tc-MIBI scan in predicting the malignancy of thyroid nodules: a meta-analysis.

Giorgio Treglia1, Carmelo Caldarella, Enrico Saggiorato, Luca Ceriani, Fabio Orlandi, Massimo Salvatori, Luca Giovanella.   

Abstract

Several studies have investigated the diagnostic performance of (99m)Tc-MIBI scan in the evaluation of thyroid nodules suspicious for malignancy with conflicting results. The aim of our study is to meta-analyze published data on this topic. A comprehensive literature search of studies published through December 2012 regarding the diagnostic performance of (99m)Tc-MIBI scan in the evaluation of thyroid nodules suspicious for malignancy was carried out. Pooled sensitivity and specificity of (99m)Tc-MIBI scan on a per lesion-based analysis and the area under the ROC curve were calculated. Pathological reports of thyroid nodules were considered as reference standard. Twenty-one studies were included in the meta-analysis. Pooled sensitivity and specificity of (99m)Tc-MIBI scan in detecting malignant thyroid nodules were 85.1 % [95 % confidence interval (95 % CI): 81.1-88.5 %] and 45.7 % (95 % CI: 42.7-48.7 %), respectively, on a per lesion-based analysis, irrespective of eventual results of previous technetium pertechnetate ((99m)TcO4) or iodine-123 ((123)I) scan. The area under the ROC curve was 0.78. A sub-analysis restricted to data on hypofunctioning nodules on (99m)TcO4 or (123)I scans was performed: pooled sensitivity and specificity of (99m)Tc-MIBI scan in these nodules were 82.1 % (95 % CI: 77.2-86.3 %) and 62.8 % (95 % CI: 58.9-66.7 %), respectively, on a per lesion-based analysis. The area under the ROC curve was 0.81. (99m)Tc-MIBI scan is a sensitive diagnostic tool in predicting the malignancy of thyroid nodules. Therefore, this imaging method could be helpful in patients with thyroid nodules in which malignancy is suspected on the basis of conventional diagnostic techniques. Higher specificity can be reached when hypofunctioning thyroid nodules are considered.

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Year:  2013        PMID: 23529672     DOI: 10.1007/s12020-013-9932-z

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  40 in total

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Review 2.  Sonographic imaging of thyroid nodules and cervical lymph nodes.

Authors:  Stephanie A Fish; Jill E Langer; Susan J Mandel
Journal:  Endocrinol Metab Clin North Am       Date:  2008-06       Impact factor: 4.741

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7.  Usefulness of 99mTc-pertechnetate scintigraphy and fine-needle aspiration cytology in patients with solitary thyroid nodules and thyroid cancer.

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9.  Thyroid imaging: comparison of high-resolution real-time ultrasound and computed tomography.

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Journal:  Radiology       Date:  1984-10       Impact factor: 11.105

10.  Evaluation of thyroid nodules for malignancy using 99Tcm-sestamibi.

Authors:  F X Sundram; P Mack
Journal:  Nucl Med Commun       Date:  1995-08       Impact factor: 1.690

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2.  Cost-effectiveness of (99m)Tc-MIBI in the evaluation of thyroid nodules for malignancy: a new lease of life for an old radiopharmaceutical?

Authors:  Frederik A Verburg; Florian F Behrendt; Felix M Mottaghy; Alexander Heinzel
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3.  Role of core needle biopsy for patients with indeterminate, fine-needle aspiration cytology.

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6.  99mTc-MIBI imaging in thyroid nodules: is it useful?

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7.  Thyroid nodules with indeterminate cytology: molecular imaging with ⁹⁹mTc-methoxyisobutylisonitrile (MIBI) is more cost-effective than the Afirma gene expression classifier.

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8.  Reliability of real-time elastography to diagnose thyroid nodules previously read at FNAC as indeterminate: a meta-analysis.

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9.  Management of thyroid nodules incidentally discovered on MIBI scanning for primary hyperparathyroidism.

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Review 10.  Clinical characteristics as predictors of malignancy in patients with indeterminate thyroid cytology: a meta-analysis.

Authors:  Pierpaolo Trimboli; Giorgio Treglia; Leo Guidobaldi; Enrico Saggiorato; Giuseppe Nigri; Anna Crescenzi; Francesco Romanelli; Fabio Orlandi; Stefano Valabrega; Ramin Sadeghi; Luca Giovanella
Journal:  Endocrine       Date:  2013-10-03       Impact factor: 3.633

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