Literature DB >> 18945798

Can quantitative diffusion-weighted MR imaging differentiate benign and malignant cold thyroid nodules? Initial results in 25 patients.

C Schueller-Weidekamm1, K Kaserer, G Schueller, C Scheuba, H Ringl, M Weber, C Czerny, A M Herneth.   

Abstract

BACKGROUND AND
PURPOSE: The characterization of cold nodules of the thyroid gland is mandatory because approximately 20% of these nodules are of malignant origin. The purpose of this study was to evaluate the distinction of cold thyroid nodules by using quantitative diffusion-weighted MR imaging (DWI).
MATERIALS AND METHODS: In 25 patients with cold nodules on scintigraphy and suggestive findings at fine-needle aspiration, thyroid carcinoma was suggested. In these patients, cold nodules and the normal parenchyma of the contralateral thyroid lobe were prospectively investigated with quantitative DWI (echo-planar imaging sequence; maximum b-value, 800 s/mm(2)) before surgery. The differences in the mean apparent diffusion coefficient (ADC) values in benign and malignant nodules were tested by using a Mann-Whitney U test.
RESULTS: Histologically, there were 20 carcinomas with a minimum size of 8 mm and 5 adenomas. The mean ADC values (in 10(-3) mm(2)/s) differed significantly among carcinoma, adenoma, and normal parenchyma (P < .05). The ranges (95% confidence interval) of the ADC values for carcinoma (2.43-3.037), adenoma (1.626-2.233), and normal parenchyma (1.253-1.602) showed no overlap. When an ADC value of 2.25 or higher was used for predicting malignancy, the highest accuracy of 88%, with 85% sensitivity and 100% specificity, was obtained.
CONCLUSIONS: Quantitative DWI seems to be a feasible tool with which to differentiate thyroid carcinomas from adenomas; however, further studies are required including larger numbers of patients to confirm our results.

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Year:  2008        PMID: 18945798     DOI: 10.3174/ajnr.A1338

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  16 in total

1.  3T diffusion-weighted MRI of the thyroid gland with reduced distortion: preliminary results.

Authors:  V Taviani; S Nagala; A N Priest; M A McLean; P Jani; M J Graves
Journal:  Br J Radiol       Date:  2013-06-14       Impact factor: 3.039

2.  Preliminary study of diffusion kurtosis imaging in thyroid nodules and its histopathologic correlation.

Authors:  Ruo-Yang Shi; Qiu-Ying Yao; Qin-Yi Zhou; Qing Lu; Shi-Teng Suo; Jun Chen; Wen-Jie Zheng; Yong-Ming Dai; Lian-Ming Wu; Jian-Rong Xu
Journal:  Eur Radiol       Date:  2017-06-14       Impact factor: 5.315

3.  Repeatability Investigation of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging on Thyroid Glands.

Authors:  Yonggang Lu; Vaios Hatzoglou; Suchandrima Banerjee; Hilda E Stambuk; Mithat Gonen; Ajit Shankaranarayanan; Yousef Mazaheri; Joseph O Deasy; Ashok R Shaha; R Michael Tuttle; Amita Shukla-Dave
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

4.  Using diffusion-weighted MRI to predict aggressive histological features in papillary thyroid carcinoma: a novel tool for pre-operative risk stratification in thyroid cancer.

Authors:  Yonggang Lu; Andre L Moreira; Vaios Hatzoglou; Hilda E Stambuk; Mithat Gonen; Yousef Mazaheri; Joseph O Deasy; Ashok R Shaha; R Michael Tuttle; Amita Shukla-Dave
Journal:  Thyroid       Date:  2015-04-21       Impact factor: 6.568

5.  Multi-institutional validation of a novel textural analysis tool for preoperative stratification of suspected thyroid tumors on diffusion-weighted MRI.

Authors:  Anna M Brown; Sidhartha Nagala; Mary A McLean; Yonggang Lu; Daniel Scoffings; Aditya Apte; Mithat Gonen; Hilda E Stambuk; Ashok R Shaha; R Michael Tuttle; Joseph O Deasy; Andrew N Priest; Piyush Jani; Amita Shukla-Dave; John Griffiths
Journal:  Magn Reson Med       Date:  2015-05-20       Impact factor: 4.668

Review 6.  Radiomics in Differentiated Thyroid Cancer and Nodules: Explorations, Application, and Limitations.

Authors:  Yuan Cao; Xiao Zhong; Wei Diao; Jingshi Mu; Yue Cheng; Zhiyun Jia
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

7.  Diagnostic value of diffusion-weighted MR imaging in thyroid disease: application in differentiating benign from malignant disease.

Authors:  Yingwei Wu; Xiuhui Yue; Weiwen Shen; Yushan Du; Ying Yuan; Xiaofeng Tao; Cheuk Ying Tang
Journal:  BMC Med Imaging       Date:  2013-07-30       Impact factor: 1.930

8.  Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis.

Authors:  Lihua Chen; Jian Xu; Jing Bao; Xuequan Huang; Xiaofei Hu; Yunbao Xia; Jian Wang
Journal:  BMJ Open       Date:  2016-01-05       Impact factor: 2.692

9.  Diffusion-Weighted Imaging Using a Readout-Segmented, Multishot EPI Sequence at 3 T Distinguishes between Morphologically Differentiated and Undifferentiated Subtypes of Thyroid Carcinoma-A Preliminary Study.

Authors:  Stefan Schob; Peter Voigt; Lionel Bure; Hans-Jonas Meyer; Claudia Wickenhauser; Curd Behrmann; Annekathrin Höhn; Paul Kachel; Henning Dralle; Karl-Titus Hoffmann; Alexey Surov
Journal:  Transl Oncol       Date:  2016-09-20       Impact factor: 4.243

10.  Serum Unsaturated Free Fatty Acids: A Potential Biomarker Panel for Differentiating Benign Thyroid Diseases from Thyroid Cancer.

Authors:  Yaping Zhang; Ling Qiu; Chengyan He; Yanmin Wang; Yujie Liu; Dan Zhang; Zhili Li
Journal:  J Cancer       Date:  2015-10-20       Impact factor: 4.207

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