Literature DB >> 24660737

Diagnostic accuracy of sonoelastography in detecting malignant thyroid nodules: a systematic review and meta-analysis.

Mahsa Ghajarzadeh1, Faezeh Sodagari, Madjid Shakiba.   

Abstract

OBJECTIVE: The aim of this systematic review was to determine the diagnostic accuracy of sonoelastography in detecting malignant thyroid nodules.
MATERIALS AND METHODS: A systematic search in MEDLINE and bibliographic databases was performed for the terms "thyroid nodule" and "sonoelastography." The inclusion criteria were the report of a 4- or 5-point scoring scale for elasticity score by qualitative sonoelastography as the index test and fine-needle aspiration (FNA) cytology or histopathology for thyroid nodules as the reference standard. Studies in which only the strain ratio was reported and studies of patients with underlying medical conditions were excluded. The methodologic quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool. A meta-analysis of diagnostic accuracy measures for sonoelastography was performed using Meta-DiSc freeware software (version 1.4).
RESULTS: A total of 12 studies assessing 1180 thyroid nodules (817 benign and 363 malignant) were included. The most commonly used threshold for characterizing malignancy--that is, elasticity scores between 2 and 3--showed a sensitivity of 86.0% (95% CI, 81.9-89.4%) and specificity of 66.7% (95% CI, 63.4-69.9%) with positive and negative likelihood ratios and a diagnostic odds ratio of 3.82 (95% CI, 2.38-6.13), 0.16 (95% CI, 0.08-0.32), and 27.51 (95% CI, 9.21-82.18), respectively. The highest sensitivity of the test was achieved by a threshold elasticity score of between 1 and 2 with a sensitivity of 98.3% (95% CI, 96.2-99.5%).
CONCLUSION: Sonoelastography can be considered as a reliable screening tool for characterizing thyroid nodules. An elasticity score of 1 is indicative of benign pathology in almost all cases and can be used to exclude many patients from further invasive assessments.

Entities:  

Mesh:

Year:  2014        PMID: 24660737     DOI: 10.2214/AJR.12.9785

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  18 in total

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Journal:  Endocrine       Date:  2017-06-05       Impact factor: 3.633

2.  Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination.

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Journal:  Endocrine       Date:  2018-11-24       Impact factor: 3.633

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

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Review 4.  Magnetic resonance elastography (MRE) in cancer: Technique, analysis, and applications.

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5.  DIAGNOSTIC VALUE OF DUPLEX DOPPLER ULTRASOUND PARAMETERS IN PAPILLARY THYROID CARCINOMA.

Authors:  A Aslan; S Sancak; M Aslan; E Ayaz; I Inan; S S Ozkanli; O Alimoğlu; A Yıkılmaz
Journal:  Acta Endocrinol (Buchar)       Date:  2018 Jan-Mar       Impact factor: 0.877

6.  Reliability of shear wave elastography ultrasound to assess the supraspinatus tendon: An intra and inter-rater in vivo study.

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7.  Thyroid nodule ultrasound: technical advances and future horizons.

Authors:  Andrew S McQueen; Kunwar S S Bhatia
Journal:  Insights Imaging       Date:  2015-03-05

8.  Preclinical evaluation of acoustic radiation force impulse measurements in regions of heterogeneous elasticity.

Authors:  Katharina Hollerieth; Bernhard Gaßmann; Stefan Wagenpfeil; Philipp Moog; Minh-Truc Vo-Cong; Uwe Heemann; Konrad Friedrich Stock
Journal:  Ultrasonography       Date:  2016-07-25

9.  Elastography in Distinguishing Benign from Malignant Thyroid Nodules.

Authors:  Bulent Colakoglu; Duzgun Yildirim; Deniz Alis; Gokhan Ucar; Cesur Samanci; Fethi Emre Ustabasioglu; Alev Bakir; Onur Levent Ulusoy
Journal:  J Clin Imaging Sci       Date:  2016-12-29

10.  TIRADS, SRE and SWE in INDETERMINATE thyroid nodule characterization: Which has better diagnostic performance?

Authors:  Ilaria Celletti; Daniele Fresilli; Corrado De Vito; Marco Bononi; Sara Cardaccio; Alessia Cozzolino; Cosimo Durante; Giorgio Grani; Gianmarco Grimaldi; Andrea M Isidori; Carlo Catalano; Vito Cantisani
Journal:  Radiol Med       Date:  2021-06-15       Impact factor: 3.469

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