Incidental Thyroid Nodules Detected on CT, MRI, or PET-CT Correlate Well with Subsequent Ultrasound Evaluation

FishStephanie, A

doi:10.1089/ct.2017;29.107-109

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…[5][6][7] Ultrasound imaging is one of the most effective noninvasive screening tools for the detection of thyroid nodules. [6][7][8][9][10][11][12][13][14] Beside conventional B-mode sonography, elastography which reflects tissue stiffness plays a promising role in the characterization of thyroid nodules. 15 Based on impressions of observing the ultrasound images, clinicians make suggestions for patients to be subject to periodic follow-up or further cytological tests.…”

Section: Introductionmentioning

confidence: 99%

“…15 Based on impressions of observing the ultrasound images, clinicians make suggestions for patients to be subject to periodic follow-up or further cytological tests. 8 However, the acquisition and observation of ultrasound images are mostly subjective and highly depend on the experience and judgment of the operator, and the inter-observer variation often results in significantly different decisions. 6,[11][12][13] According to aforementioned reasons, objective quantification of the sonographic thyroid nodule features has become a pressing issue facing the medical staffs.…”

Section: Introductionmentioning

confidence: 99%

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A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images

Chiu

Chen

2019

Ultrason Imaging

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To perform computer-aided diagnosis of the thyroid nodules on ultrasound images, the location and boundary of nodules should be clearly defined. However, the identification of thyroid nodule boundary is a difficult issue due to the biological characteristics of the nodules, the physics and quality of ultrasound imaging, and the subjective factors and operating conditions of the operator. In this study, we propose a novel and semiautomatic method for detecting the boundary of thyroid nodule based on the Variance-Reduction (V-R) statistics without image preprocessing. The region of interest (ROI) is first automatically generated according to the initial inputs of the nodule's major and minor axes. The boundary candidate pixel points are then extracted by using the V-R statistics from the grayscale values of all pixel points in the ROI. Three filtering methods are further applied to eliminate the outlier pixel points to ensure that the remaining candidate pixel points are located on the nodule boundary. Finally, the remaining pixel points are smoothened and linked together to form the final boundary. The proposed method is validated with ultrasound images of 538 thyroid nodules, with manual delineation by experienced radiologist as gold standard. The effectiveness is evaluated and compared with previous publications using boundary error metrics and overlapping area metrics with the same data set. The results show that the normalized average mean boundary error is 1.02%, the true positive overlapping area ratio achieves 93.66% and false positive overlapping area ratio is limited to 7.68%. In conclusion, our proposed method is reliable and effective in detecting thyroid nodule boundary on ultrasound images.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images

Chiu

Chen

2019

Ultrason Imaging

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“…Majority of thyroid nodules cases have been detected through US analysis; although, they can be identified by physical examination or palpations in 5% among females and 1% among males. 2 A study conducted by Brander et al 3 has indicated that thyroid nodules have a significant association with gender and age. The study presented that the incidence of the nodular presentation tends to be higher among females as compared to males.…”

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confidence: 99%

Screening for thyroid diseases among students of applied medical sciences at King Abdulaziz University, Saudi Arabia

Bafaraj

Awad

Jastaniah

et al. 2018

SMJ

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Objectives:To identify the occurrence rate of thyroid ultrasound abnormalities in asymptomatic subjects, and describe the features of detected nodules among university students.Methods:The study is based on an observational research design that was conducted from April 2015 to May 2015. The study included 166 individuals, aged between 19 and 23 years. The subjects had their glands examined by ultrasound (US) scanning, using Philips ultrasound machine (5-12 MHz linear transducer).Results:We recruited 90 (57.8%) females and 76 (42.2%) males without any indications of thyroid disease. Data estimated that 41 (24.7%) subjects had positive results on thyroid disease screening, 24 (70.6%) participants had solitary nodules, and 10 (29.4%) had multiple nodules. Thirty-four subjects revealed nodular presentation in the screening, among which 24 (70.6%) indicated solitary nodules and 10 (29.4%) had multiple nodules. Among 3 subjects, who indicated hypoechoic nodules, 2 (66.7%) underwent US-fine needle aspiration biopsy and received histological confirmation that they had papillary carcinomas.Conclusion:Ultrasonography is a useful and effective technique for screening thyroid related diseases, and can be utilized as a routine practice for general population screening.

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“…Most thyroid nodules are incidental findings, but their risk of malignancy correlates well with the findings of subsequent ultrasonography. 4 In clinical settings, thyroid ultrasonography is indicated in the following conditions: palpable mass in the anterior neck, dysphagia, dyspnoea, dysphonia, persistent cough (not related to cold), palpitation, cardiac arrhythmia, monitoring of treatment of thyroid disease, and postoperative follow-up. 3 In this article, we review the clinical value of greyscale ultrasonography (GSU), Doppler ultrasonography, and ultrasound elastography in the differentiation of benign and malignant thyroid nodules.…”

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confidence: 99%

Update on Ultrasound Diagnosis for Thyroid Cancer

et al. 2018

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Thyroid nodules are prevalent in the general population. Distinguishing benign and malignant thyroid nodules is a clinical challenge. Although ultrasonography is commonly used for the assessment of thyroid nodules, previous studies have found that its usefulness is controversial. Therefore, there is a need to assess the clinical value of ultrasonography reported in the literature. This article reviews the literature on the clinical value of greyscale ultrasonography, colour and power Doppler ultrasonography, and ultrasound elastography in differentiating benign and malignant thyroid nodules.

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Incidental Thyroid Nodules Detected on CT, MRI, or PET-CT Correlate Well with Subsequent Ultrasound Evaluation

Cited by 3 publications

References 3 publications

A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images

A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images

Screening for thyroid diseases among students of applied medical sciences at King Abdulaziz University, Saudi Arabia

Update on Ultrasound Diagnosis for Thyroid Cancer

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