Article Sidebar
Views PDF: 160
Ultrasound features of thyroid cancer
Main Article Content
Abstract
SUMMARY
Purpose: To find features of thyroid malignancy nodule on the ultrasound.
Material and Methods: A total 307 thyroid nodules of 272 patients (146 malignant nodules on the 146 patients, 161 benign nodules on the 126 patients), who underwent thyroid ultrasound examintation. There ultrasound features are compared with
pathologic result for evaluation value.
Result: The following US features showed a significant association with malignancy: solid component, hypoechogenicity (Sensitivity 80.82%; Specificity 59.01%), marked hypoechogenicity (Sensitivity 16.44%, Specificity 98.76%), irregular margins
(Sensitivity 77.4%, Specificity 92.55%), microcalcifi cations (Sensitivity 69.18%, Specificity 97.52%), and taller-than-wide
shape (Sensitivity 69,86%, Specificity 94.41%).
Conclusion: High-resolution thyroid US is the most useful diagnostic tool for evaluating thyroid nodules. Ultrasound features of thyroid nodules malignancy include a hypoechonic, mark hypoechonic, taller than wide, irregular margins and microcalcification.
Article Details
Keywords
Thyroid ultrasound, thyroid, ultrasound
References
1. Nguyễn Bá Đức (2007), “Chẩn đoán và điều trị bệnh ung thư”, tr. 152-161.
2. Papini E, Guglielmi R và Bianchini A (2002), “Riskof malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features”, J Clin Endocrinol Metab, 87(5), tr. 1941-46.
3. Moon HJ, Kwak JY và Kim MJ ( 2010), “Can vascularity at power Doppler US help predict thyroid malignancy?”, Radiology, 255, tr. 260-9.
4. Boniface Moifo, Emmanuel Oben Takoeta, Joshua Tambe và các cộng sự. (2013), “Reliability of Thyroid Imaging Reporting and Data System (TIRADS) Classification in
Differentiating Benign from Malignant Thyroid Nodules”,
Open Journal of Radiology, 3, tr. 103-107.
5. Alper Ozel, Sukru Mehmet Erturk, Alkin Ercan và các cộng sự. (2012), “The diagnostic efficiency of ultrasound in characterization for thyroid nodules: how many criteria are required to predict malignancy?”, Med Ultrason, 14(1), tr. 24 28.
6. MD Jin Young Kwak , MS Kyung Hwa Han và MD Jung Hyun Yoon (2011), “Thyroid Imaging Reporting and Data System for US Features of Nodules : A Step in Establishing Better Stratifi cation of Cancer Risk”, Radiology, 260(3), tr. 892-99.
7. Yu-rong HONG, Yu-lian WU và Zhi-yan LUO (2012), “Impact of nodular size on the predictive values of gray-scale, color-Doppler ultrasound, and sonoelastography for assessment of thyroid nodules”, Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology), 13(9), tr. 707-716.