Citation: | ZHENG Zhiyan, YE Xinhua, ZHANG Dong. Diagnosis value of S-Detect technique and strain elastography for C-TI-RADS 4A thyroid nodules[J]. Chinese Journal of General Practice, 2023, 21(5): 829-832. doi: 10.16766/j.cnki.issn.1674-4152.002994 |
[1] |
尹嘉晶, 王任飞, 曲伸. 真实世界甲状腺癌的诊疗现状与思考[J]. 中国实用内科杂志, 2022, 42(11): 915-919. https://www.cnki.com.cn/Article/CJFDTOTAL-SYNK202211009.htm
YIN J J, WANG R F, QU S. Current situation and thinking on diagnosis and treatment of thyroid cancer in the real world[J]. Chinese Journal of Practical Internal Medicine, 2022, 42(11): 915-919. https://www.cnki.com.cn/Article/CJFDTOTAL-SYNK202211009.htm
|
[2] |
ZHOU J Q, YIN L X, WEI X, et al. 2020 Chinese guidelines for Ultrasound malignancy risk stratification of thyroid nodules the C-TIRADS[J]. Endocrine, 2020, 70(2): 256-279. doi: 10.1007/s12020-020-02441-y
|
[3] |
周一帆, 王建华, 徐书杭. 甲状腺细胞病理学Bethesda报告系统的更新及研究进展[J]. 国际内分泌代谢杂志, 2020, 40(3): 175-178.
ZHOY Y F, WANG J H, XU S H. Update and research progress of Bethesda reporting system of thyroid cell pathology[J]. International Journal of Endocrinology and Metabolism, 2020, 40(3): 175-178.
|
[4] |
LIN Z M, WEN Q, YAN C X, et al. Combination of contrast enhanced ultrasound and strain elastography to assess cytologically non diagnostic thyroid nodules[J]. Oncol Lett, 2019, 18(6): 6845-6851.
|
[5] |
吴丽露, 徐芳婷, 孙杨, 等. 常规超声及应变弹性成像对细胞学结果不确定甲状腺结节的诊断价值[J]. 临床超声医学杂志, 2019, 21(12): 886-890. https://www.cnki.com.cn/Article/CJFDTOTAL-LCCY201912003.htm
WU L L, XU F T, SUN Y, et al. Diagnostic value of conventional ultrasound and strain elastography in thyroid nodules with uncertain cytological results[J]. Journal of Clinical Ultrasound Medicine, 2019, 21(12): 886-890. https://www.cnki.com.cn/Article/CJFDTOTAL-LCCY201912003.htm
|
[6] |
杜建文, 葛雪, 刘欢颜, 等. S-Detect技术与BI-RADS分类对乳腺肿物良恶性评估的比较[J]. 中国超声医学杂志, 2019, 35(7): 580-583. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY201907002.htm
DU J W, GE X, LIU H Y, et al. Comparison between S-Detect and BI-RADS in the evaluation of benign and malignant breast tumors[J]. Chinese Journal of Ultrasound Medicine, 2019, 35(7): 580-583. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY201907002.htm
|
[7] |
LI J, TIAN S, YU W H, et al. The value of S-Detect for the differential diagnosis of breast masses on ultrasound: a systematic review and pooled meta-analysis[J]. Med Ultrason, 2020, 22(2): 211-219. doi: 10.11152/mu-2402
|
[8] |
LI X C, ZHANG S, ZHANG Q, et al. Diagnosis of thyroid cancer using deep convolutional neural network models aplied to sonographic images: a retrospective, multicohort, diagnostic study[J]. Lancet Oncol, 2019, 20(2): 193-201. doi: 10.1016/S1470-2045(18)30762-9
|
[9] |
程若川, 杨婷婷. 2016版中国甲状腺微小乳头状癌诊断与治疗中国专家共识解读[J]. 中国实用内科杂志, 2019, 39(4): 351-357. https://www.cnki.com.cn/Article/CJFDTOTAL-SYNK201904012.htm
CHENG R C, YANG T T. 2016 Edition Interpretation of Chinese Expert Consensus on Diagnosis and Treatment of Thyroid Micropapillary Carcinoma[J]. Chinese Journal of Practical Internal Medicine, 2019, 39(4): 351-357. https://www.cnki.com.cn/Article/CJFDTOTAL-SYNK201904012.htm
|
[10] |
戴旭. 甲状腺微小乳头状癌的诊疗过度与不足: 基于专家共识的再思考[J]. 医学与哲学, 2019, 40(16): 31-34. https://www.cnki.com.cn/Article/CJFDTOTAL-YXZX201916009.htm
DAI X. Excessive and insufficient diagnosis and treatment of thyroid micropapillary carcinoma: rethinking based on expert consensus[J]. Medicine and Philosophy, 2019, 40(16): 31-34. https://www.cnki.com.cn/Article/CJFDTOTAL-YXZX201916009.htm
|
[11] |
彭光生, 陈怡. 甲状腺结节过度超声诊断及应对策略[J]. 中国超声医学杂志, 2020, 36(10): 883-886. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY202010006.htm
PENG G S, CHEN Y. Diagnosis and coping strategies of thyroid nodule by ultrasonography[J]. Chinese Journal of Ultrasound Medicine, 2020, 36(10): 883-886. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY202010006.htm
|
[12] |
CANTISANI V, SILVESTRI A D, SCOTTI V, et al. US-Elastography with different techniques for thyroid nodule characterization: systematic review and meta-analysis[J]. Front Oncol, 2022, 12(3): 845549. DOI: 10.3389/fonc.2022.845549.
|
[13] |
陈晨, 孙鹏飞, 郭君, 等. 人工智能在甲状腺结节良恶性中的诊断价值[J]. 中国超声医学杂志, 2020, 36(7): 585-588. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY202007004.htm
CHEN C, SUN P F, GUO J, et al. Diagnostic value of artificial intelligence in benign and malignant thyroid nodules[J]. Chinese Journal of Ultrasound Medicine, 2020, 36(7): 585-588. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY202007004.htm
|
[14] |
郭斌, 陈蕊, 王圣应, 等. 208例甲状腺乳头状癌患者颈部淋巴结转移相关因素分析[J]. 中华全科医学, 2022, 20(2): 195-198. doi: 10.16766/j.cnki.issn.1674-4152.002310
GUO B, CHEN R, WANG S Y, et al. Analysis of related factors of cervical lymph node metastasis in 208 patients with thyroid papillary carcinoma[J]. Chinese General Practice, 2022, 20(2): 195-198. doi: 10.16766/j.cnki.issn.1674-4152.002310
|
[15] |
高红燕, 詹小林, 陈冬冬, 等. 超声C-TIRADS联合应变弹性成像在C-TIRADS 4类甲状腺结节良恶性评估中的应用价值[J]. 安徽医学, 2022, 43(9): 999-1003. https://www.cnki.com.cn/Article/CJFDTOTAL-AHYX202209002.htm
GAO H Y, ZHAN X L, CHEN D D, et al. The application value of ultrasonic C-TIRADS combined with strain elastography in the evaluation of benign and malignant C-TIRADS type 4 thyroid nodules[J]. Anhui Medical Journal, 2022, 43(9): 999-1003. https://www.cnki.com.cn/Article/CJFDTOTAL-AHYX202209002.htm
|
[16] |
徐锦媚, 刘萌, 王鑫毅, 等. 计算机辅助诊断系统联合弹性成像及高年资超声医师判读鉴别甲状腺结节良恶性的价值[J]. 临床超声医学杂志, 2022, 12(3): 26-30. https://www.cnki.com.cn/Article/CJFDTOTAL-LCCY202201005.htm
XU J M, LIU M, WANG X Y, et al. The value of computer aided diagnosis system combined with elastography and senior ultrasonic physicians in differentiating benign and malignant thyroid nodules[J]. Journal of Clinical Ultrasound Medicine, 2022, 12(3): 26-30. https://www.cnki.com.cn/Article/CJFDTOTAL-LCCY202201005.htm
|
[17] |
XIA S J, YAO J J, ZHOU W, et al. A computer-aided diagnosing system in the evaluation of thyroid nodules-experience in a specialized thyroid center[J]. World J Surg Oncol, 2019, 17(1): 210-217.
|
[18] |
李潜, 丁思悦, 郭兰伟, 等. 甲状腺结节超声恶性危险分层中国指南(C-TIRADS)联合人工智能辅助诊断对甲状腺结节鉴别诊断的效能评估[J]. 中华超声影像学杂志, 2021, 30(3): 231-235.
LI Q, DING S Y, GUO L W, et al. Evaluation of the efficacy of the Chinese guidelines for ultrasonic malignant risk stratification of thyroid nodules (C-TIRADS) combined with artificial intelligence in the differential diagnosis of thyroid nodules[J]. Chinese Journal of Ultrasound Imaging, 2021, 30(3): 231-235.
|