Literature DB >> 21788907

Dual-energy computed tomography imaging of thyroid nodule specimens: comparison with pathologic findings.

Ming Li1, Xiangpeng Zheng, Jianying Li, Yanli Yang, Chen Lu, Hua Xu, Bo Yu, Li Xiao, Guozhen Zhang, Yanqing Hua.   

Abstract

OBJECTIVE: To quantitatively assess the imaging characteristics of thyroid nodules in dual-energy computed tomography (CT) imaging for differentiation of benign and malignant lesions.
MATERIALS AND METHODS: Dual-energy CT imaging was performed on 97 surgically removed thyroid nodule specimens prior to their pathologic examination. Iodine- and water-based material decomposition images and 101 sets of pseudomonochromatic images of each thyroid specimen were reconstructed for quantitative imaging analysis. The iodine concentration and effective atomic number (Zeff) of thyroid nodules and surrounding normal thyroid tissues, HU curve slope (λHU), and mean CT values of nodules were compared between different pathologic categories.
RESULTS: In the 97 specimens, a total of 169 nodules were confirmed pathologically, including 108 nodular goiters (group A), 47 follicular adenomas (group B), and 14 papillary carcinomas (group C). Statistical analysis showed a significant difference between benign (A and B) and malignant (C) groups in iodine concentration (P < 0.001), λHU (P < 0.001), and Zeff (P < 0.001). For mean CT values, there existed statistical difference between groups A and C, but no difference between groups B and C. No statistical significance was found at iodine concentrations, the Zeff, or λHU in thyroid tissues surrounding nodules (P > 0.10). Additionally, water content was constant and homogeneous in nodules and adjacent thyroid tissues (P > 0.10).
CONCLUSION: Pseudomonochromatic imaging reconstruction and material decomposition-based quantitative dual-energy CT imaging have promising potential for diagnostic differentiation of benign and malignant thyroid nodules.

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Year:  2012        PMID: 21788907     DOI: 10.1097/RLI.0b013e318229fef3

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  26 in total

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Authors:  Jessica L Nute; Lucia Le Roux; Adam G Chandler; Veera Baladandayuthapani; Dawid Schellingerhout; Dianna D Cody
Journal:  Invest Radiol       Date:  2015-01       Impact factor: 6.016

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7.  Renal cystic lesions characterization using spectral detector CT (SDCT): Added value of spectral results.

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8.  Quantitative features of dual-energy spectral computed tomography for solid lung adenocarcinoma with EGFR and KRAS mutations, and ALK rearrangement: a preliminary study.

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Journal:  Quant Imaging Med Surg       Date:  2018-07

10.  Material decomposition using iodine quantification on spectral CT for characterising nodules in the cirrhotic liver: a retrospective study.

Authors:  Shalini Thapar Laroia; Komal Yadav; Senthil Kumar; Archana Rastogi; Guresh Kumar; Shiv Kumar Sarin
Journal:  Eur Radiol Exp       Date:  2021-05-28
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